1. Cell Biology
  2. Immunology and Inflammation

Fibroblastic reticular cell-derived lysophosphatidic acid regulates confined intranodal T-cell motility

  1. Akira Takeda
  2. Daichi Kobayashi
  3. Keita Aoi
  4. Naoko Sasaki
  5. Yuki Sugiura
  6. Hidemitsu Igarashi
  7. Kazuo Tohya
  8. Asuka Inoue
  9. Erina Hata
  10. Noriyuki Akahoshi
  11. Haruko Hayasaka
  12. Junichi Kikuta
  13. Elke Scandella
  14. Burkhard Ludewig
  15. Satoshi Ishii
  16. Junken Aoki
  17. Makoto Suematsu
  18. Masaru Ishii
  19. Kiyoshi Takeda
  20. Sirpa Jalkanen
  21. Masayuki Miyasaka  Is a corresponding author
  22. Eiji Umemoto  Is a corresponding author
  1. Osaka University Graduate School of Medicine, Japan
  2. Osaka University, Japan
  3. University of Turku, Finland
  4. Keio University School of Medicine, Japan
  5. JST Precursory Research for Embryonic Science and Technology project, Japan
  6. Akita University, Japan
  7. Kansai University of Health Sciences, Japan
  8. Tohoku University, Japan
  9. Kantonal Hospital St. Gallen, Switzerland
  10. Core Research for Evolutional Science and Technology project, Japan
https://doi.org/10.7554/eLife.10561
Share this article
Cite this article
  1. Akira Takeda
  2. Daichi Kobayashi
  3. Keita Aoi
  4. Naoko Sasaki
  5. Yuki Sugiura
  6. Hidemitsu Igarashi
  7. Kazuo Tohya
  8. Asuka Inoue
  9. Erina Hata
  10. Noriyuki Akahoshi
  11. Haruko Hayasaka
  12. Junichi Kikuta
  13. Elke Scandella
  14. Burkhard Ludewig
  15. Satoshi Ishii
  16. Junken Aoki
  17. Makoto Suematsu
  18. Masaru Ishii
  19. Kiyoshi Takeda
  20. Sirpa Jalkanen
  21. Masayuki Miyasaka
  22. Eiji Umemoto
(2016)
Fibroblastic reticular cell-derived lysophosphatidic acid regulates confined intranodal T-cell motility
eLife 5:e10561.
https://doi.org/10.7554/eLife.10561
  2. Download BibTeX
  3. Download .RIS

Abstract

Lymph nodes (LNs) are highly confined environments with a cell-dense three-dimensional meshwork, in which lymphocyte migration is regulated by intracellular contractile proteins. However, the molecular cues directing intranodal cell migration remain poorly characterized. Here we demonstrate that lysophosphatidic acid (LPA) produced by LN fibroblastic reticular cells (FRCs) acts locally to LPA2 to induce T-cell motility. In vivo, either specific ablation of LPA-producing ectoenzyme autotaxin in FRCs or LPA2 deficiency in T cells markedly decreased intranodal T cell motility, and FRC-derived LPA critically affected the LPA2-dependent T-cell motility. In vitro, LPA activated the small GTPase RhoA in T cells and limited T-cell adhesion to the underlying substrate via LPA2. The LPA-LPA2 axis also enhanced T-cell migration through narrow pores in a three-dimensional environment, in a ROCK-myosin II-dependent manner. These results strongly suggest that FRC-derived LPA serves as a cell-extrinsic factor that optimizes T-cell movement through the densely packed LN reticular network.

https://doi.org/10.7554/eLife.10561.001

eLife digest

Small organs called lymph nodes are found throughout the body and help to filter out harmful particles and cells. Lymph nodes are packed with different types of immune cells, such as the T-cells that play a number of roles in detecting and destroying bacteria, viruses and other disease-causing microbes. Within the lymph node, T-cells crawl along a meshwork made up of cells called fibroblastic reticular cells. The T-cells appear to move in random patterns, but the signals that drive this movement remain ill-defined.

Now, Takeda et al. reveal that a lipid called lysophosphatidic acid (LPA), which is produced by the fibroblastic reticular cells, is responsible for regulating how T-cells move around inside the lymph nodes. T-cells are able to detect LPA via certain receptor proteins on their surface. Takeda et al. engineered mice that were either unable to produce a particular LPA receptor on their T-cells, or that produced less LPA than normal. The T-cells of these mice moved around less than T-cells in normal mice.

Further experiments revealed that LPA signaling also affects the signaling pathway that alters how well the T-cells stick to nearby surfaces. This suggests that LPA helps to optimize T-cell movement to allow the cells to navigate the small spaces found between the fibroblastic reticular cells. In the future, targeting the processes involved in LPA signaling could help to develop new treatments for disorders of the immune system.

https://doi.org/10.7554/eLife.10561.002

Introduction

Blood-borne naïve lymphocytes migrate along the fibroblastic reticular cell (FRC) network in lymph nodes (LNs) (von Andrian and Mempel, 2003; Miyasaka and Tanaka, 2004; Girard et al., 2012). B cells then migrate into LN follicles, whereas T cells remain in the paracortex and migrate continually along the FRC network (Bajénoff et al., 2006). This intranodal migration provides critical opportunities for T cells to encounter cognate antigen-presenting dendritic cells. Two-photon microscopic analysis has shown that naïve T cells crawl along the FRC network in an apparently random pattern of motion, at an average velocity of 10–15 μm per minute (Miller et al., 2002; Okada and Cyster, 2007; Worbs et al., 2007). FRCs promote intranodal T-cell motility by signaling naïve lymphocytes with CCL21/CCL19 via CCR7, thus activating the small GTPase Rac (Okada and Cyster, 2007; Worbs et al., 2007; Faroudi et al., 2010; Huang et al., 2007), although CCR7 signaling only partially account for the interstitial T cell motility (Okada and Cyster, 2007; Huang et al., 2007).

LPA is a bioactive lysophospholipid produced both extracellularly and intracellularly. Extracellularly produced LPA is involved in such diverse biological functions as vascular remodeling and cell growth, survival, and migration (Choi et al., 2010; Yanagida et al., 2013). Intracellularly produced LPA is an intermediate in the synthesis of triglycerides and glycerophospholipids, and thought to act as a 'housekeeper' inside the cell (Mills and Moolenaar, 2003). Extracellular LPA is predominantly produced by autotaxin (ATX, also referred to as ENPP2 [ectonucleotide pyrophosphatase/phosphodiesterase family member 2]), an ectoenzyme that was originally identified as a tumor-cell motility-enhancing factor (Stracke et al., 1992). ATX is a lysophospholipase D that produces LPA by hydrolyzing lysophosphatidylcholine (LPC) (Okudaira et al., 2010; Moolenaar and Perrakis, 2011). We and others have reported that ATX is strongly expressed in HEV endothelial cells (ECs), and that ATX regulates lymphocyte migration into the LN parenchyma (Kanda et al., 2008; Nakasaki et al., 2008; Umemoto et al., 2011). We also demonstrated that LPA enhances lymphocyte detachment from ECs and promotes lymphocyte transmigration across the HEV basal lamina, at least in part by acting on HEV ECs (Bai et al., 2013). LPA also acts on naïve T cells to induce chemokinesis and cell polarization (Kanda et al., 2008; Katakai et al., 2014; Zhang et al., 2012) and transmigration (Zhang et al., 2012).While a study using pharmacological inhibitors revealed that ATX/LPA promotes intranodal lymphocyte motility in an ex vivo LN explant model (Katakai et al., 2014), the physiological significance of the ATX/LPA axis in interstitial lymphocyte migration remains unknown.

To date, six LPA receptors (LPA1–LPA6) have been identified. LPA receptors couple to multiple G proteins, including Gi, G12/13, Gq, and Gs, and upon ligand binding, these G proteins activate diverse intracellular signaling components including Rho and Rac. Although LPA2 has recently been reported to play a role in intranodal T-cell migration (Knowlden et al., 2014), it remains unclear how LPA2-mediated signaling affects interstitial T-cell motility and whether LPA is the prime activating ligand.

Leukocyte migration in a confined environment is regulated at least partly by cell contraction (Lämmermann et al., 2008). Jacobelli et al. (2010) reported that a contractile protein, myosin IIA, is required for T-cell amoeboid motility in confined environments such as LNs (Jacobelli et al., 2010). Myosin IIA cross-links actin, thus limiting surface adhesion and allowing T cells to exert contractile force. Myosin IIA’s activity is regulated by RhoA and Rho-associated protein kinase (ROCK) signaling. While the cell-extrinsic factor(s) that regulate myosin II’s activity during T-cell migration in a confined environment have been poorly defined, a recent study using zebrafish germ progenitor cells showed that LPA induces cell polarization in a ROCK-myosin II-dependent manner, which enables rapid cell migration in a confined environment (Ruprecht et al., 2015).

In this study, by using mice conditionally deficient for the LPA-generating enzyme ATX in FRCs and those deficient in LPA2, we demonstrated that bioactive LPA species are produced by FRCs in an ATX-dependent manner and that LPA acts locally on LPA2 on T cells. This LPA2-mediated signaling activates the RhoA-ROCK-myosin II pathway and promotes confinement-optimized interstitial T-cell migration. The FRC-derived LPA thus serves as a cell-extrinsic factor that optimizes T-cell movement through the densely packed LN reticular network, to fine-tune T-cell trafficking.

Results

FRCs express the LPA-generating enzyme ATX in a lymphotoxin β receptor (LTβR)-signaling-dependent manner

Although CCR7 ligands are reported to stimulate intranodal T-cell motility (Okada and Cyster, 2007; Worbs et al., 2007; Huang et al., 2007), they are not sufficient to account for effective T-cell migration in LNs. Given that ATX, which generates the motogenic lysophospholipid, LPA, is expressed in HEV ECs to modulate lymphocyte motility (Nakasaki et al., 2008; Bai et al., 2013), we speculated that ATX and its product LPA are also expressed in other stromal cell subsets in the LN parenchyma and may control intranodal lymphocyte migration. Indeed, a recent paper showed that ATX is expressed in CCL21+ CD31- stromal cells in LNs (Katakai et al., 2014). We therefore subdivided the CD45- LN stromal cells into four stromal subsets (Figure 1A). As shown in Figure 1B, Enpp2/Autotaxin was readily detected in GP38+ CD31- FRCs as well as GP38- CD31+ blood endothelial cells (ECs), with negligible expression in lymphatic ECs and double-negative cells. Electron microscopic analysis confirmed that ATX was expressed in the FRCs surrounding collagen fiber bundles (Figure 1C). Interestingly, analyses using Ccl19-Cre x R26-EYFP mice, which constitutively express yellow fluorescent protein (YFP) in FRCs (Chai et al., 2013), revealed that Enpp2 was selectively expressed in LN FRCs but not splenic FRCs (Figure 1D). This Enpp2 expression was apparently dependent on LTβR signaling, because blocking LTβR signaling significantly reduced expression of Enpp2, Cxcl13, and Ccl19, but not Icam1, in FRCs (Figure 1E). This blockade also downregulated transcription of HEV marker genes such as Glycam1 and Ccl21 in BECs (Figure 1E), consistent with a previous report (Browning et al., 2005). These results confirm that similarly to HEV ECs, FRCs constitutively express the LPA-generating enzyme ATX, which is maintained at least in part by LTβR signaling.

Figure 1
Download asset Open asset
FRCs and vascular ECs express autotaxin in an LTβR-signaling-dependent manner.

(A) Representative dot plot of the CD45- stromal cells in LNs. CD45- cells were divided by CD31 and gp38 expression into FRCs (gp38+ CD31-), lymphatic endothelial cells (LECs; gp38+ CD31+), blood endothelial cells (BEC; gp38-CD31+), and double-negative cells. Numbers indicate the frequency of cells in each gate. (B) Enpp2/Autotaxin expression in stromal LN fractions, analyzed by quantitative RT-PCR. (C) ATX expression examined by immunoelectron microscopy; arrow indicates positive signals in an FRC. C: collagen fibers; L: lymphocytes. Bar, 1 μm. (D) Enpp2 in CD45- EYFP+ cells in LNs and the spleen of Ccl19-Cre x R26-EYFP mice. (E) Effect of LTβR signaling on Enpp2 expression in FRCs and BECs. LTβR signaling was blocked by injecting 100 μg of recombinant LTβR-Fc or an isotype control into adult mice intraperitoneally weekly for 4 weeks. The FRCs and BECs were then sorted, and the indicated gene expressions were analyzed by quantitative PCR. Data are representative of three (A, B, D) or two (C, E) independent experiments (n = 3 per group). Differences between groups were evaluated by Student’s t-test. *P < 0.05; **P < 0.005; ***P < 0.0005.

https://doi.org/10.7554/eLife.10561.003

Multiple LPA species are produced in the LN parenchyma by FRCs

To verify that LPA is generated in situ by FRC-derived ATX, we crossed Enpp2fl/fl mice and Ccl19-Cre mice to generate Ccl19-Cre Enpp2fl/fl mice that lacked ATX expression specifically in the FRCs. As expected, in the Ccl19-Cre Enpp2fl/fl mice, Enpp2 was completely lost in the FRCs but not in the BECs, whereas Ccl21 and GP38 expression was comparable between these strains (Figure 2A, Figure 2—figure supplement 1). The frequency of FRCs in stromal cells also appeared to be uncompromised by the deficiency of Enpp2 in FRCs (Figure 2—figure supplement 1). We then compared LPA production in the LN of these mice using imaging mass spectrometry (IMS). To this end, we first injected fluorescein-conjugated dextran, which labels lymphatics and the medulla, into the footpad, and LPA (18:0), LPA (18:1), LPA (18:2), and LPA (20:4) were then visualized in LN sections. As shown in Figure 2B, signals corresponding to LPA (18:0) were widely distributed in the LN. The signals were comparable in intensity and frequency in Enpp2fl/fl and Ccl19-Cre Enpp2fl/fl mice; this LPA species appears to be produced mainly within the cell (Aoki, J; unpublished observation) independently of ATX (Yukiura et al., 2011, Nishimasu, et al., 2011). In sharp contrast, signals corresponding to LPA (18:1), LPA (18:2), and LPA (20:4), the major species produced extracellularly by ATX (Yukiura et al., 2011), were predominantly observed in the paracortex both close to and at a distance from HEVs, but only marginally in the medulla. These signals were substantially decreased in the cortex of Ccl19-Cre Enpp2fl/fl as compared with Enpp2fl/fl mice (Figure 2B).

Figure 2 with 1 supplement see all
Download asset Open asset
Multiple LPA species are produced in the LN parenchyma by FRCs.

(A) Enpp2 and Ccl21 mRNA expression in LN stromal cells in Ccl19-Cre Enpp2fl/fl or Enpp2fl/fl mice. See also analysis of stromal cell populations in those mice in Figure 2—figure supplement 1. (B) LPA-species distribution in the LNs of Ccl19-Cre Enpp2fl/fl and Enpp2fl/fl mice. Fluorescein-conjugated dextran (pseudocolored in yellow) was injected into the footpads to visualize the lymphatics, and draining LNs were collected 10 min after the injection. Signals corresponding to LPA (18:0) (ion transition from m/z 437 to 153), LPA (18:1) (from m/z 435 to 153), LPA (18:2) (from m/z 433 to 153), and LPA (20:4) (from m/z 457 to 153) were visualized by IMS analysis (magenta) and overlapped with MECA-79 staining (blue) on LN serial sections. LPA signals located within 50 μm of an HEV are circled by dotted lines and signals more than 50 μm away from an HEV are indicated by arrows for each of the LPA (18:1), LPA (18:2), and LPA (20:4) species. (C) The frequency of LPA signals by distance from an HEV, and the median distance from an HEV. Data are representative of three (A) or two (B, C) independent experiments. Differences between groups were evaluated by Student’s t-test. *P < 0.05, **P < 0.005, ***P < 0.0005. Bars, 100 μm.

https://doi.org/10.7554/eLife.10561.004
Video 1
Download asset
FRC-specific ATX ablation reduced the velocity of T cells in LNs.

Intravital two-photon microscopy was used to analyze the intranodal migration of eGFP-expressing CD4+ T cells (green) 15 hr after the cells were injected into Enpp2fl/fl (left) or Ccl19-Cre Enpp2fl/fl mice (right). Data shown are representative of three independent experiments. Bars, 50 μm.

https://doi.org/10.7554/eLife.10561.006

To verify that the cortical LPA signals associated with non-HEV structures were derived from FRCs, we next mapped the LPA signals relative to HEVs in Enpp2fl/fl mice and Ccl19-Cre Enpp2fl/fl mice by measuring the distance between individual signals and the nearest HEV. As shown in Figure 2C, the frequency of LPA (18:1), LPA (18:2), and LPA (20:4) signals within 50 μm of an HEV did not differ significantly between Enpp2fl/fl and Ccl19-Cre Enpp2fl/fl mice. However, the frequency of relatively distant signals (more than 50 μm) decreased substantially when ATX was ablated in FRCs. Hence, the median distance between LPA signals and HEVs was significantly reduced in Ccl19-Cre Enpp2fl/fl compared with Enpp2fl/fl mice, consistent with the idea that distant LPA signals were associated with FRCs. Together with the observations showing robust expression of ATX in FRCs, these findings indicate that the cortical LPA signals not associated with HEVs are mainly produced by FRCs in an ATX-dependent manner.

FRC-derived LPA promotes intranodal T-cell migration

To understand the role of FRC-derived LPA in regulating intranodal T-cell migration, we next examined the CD4+ T-cell interstitial migration in LNs by intravital two-photon microscopy. To this end, CD4+ T cells from WT mice expressing a transgene encoding enhanced GFP (eGFP) were injected intravenously into Enpp2fl/fl and Ccl19-Cre Enpp2fl/fl mice, and the intranodal T-cell migration in popliteal LNs (PLNs) was imaged 15–25 hr later (Video 1). As shown in Figure 3A, B, CD4+ T-cell movement and displacement from the original location in the PLN was substantially restricted in Ccl19-Cre Enpp2fl/fl compared with Enpp2fl/fl mice. The median T-cell velocity was also lower in Ccl19-Cre Enpp2fl/fl than in Enpp2fl/fl mice (Figure 3C, Figure 3—figure supplement 1). Measurement of the mean displacement and the motility coefficient, which represents the volume in which an average cell scans per unit time (Sumen et al., 2004), also indicated that T-cell motility was impaired in the LN parenchyma of Ccl19-Cre Enpp2fl/fl mice (Figure 3D,E), whereas the directionality of the intranodal T-cell movement was comparable in these mouse groups (Figure 3—figure supplement 2), supporting the hypothesis that FRC-derived LPA is required for efficient intranodal T-cell migration.

Figure 3 with 2 supplements see all
Download asset Open asset
FRC-specific ATX ablation attenuates intranodal T-cell migration.

Intranodal T-cell migration in Enpp2fl/fl mice and Ccl19-Cre Enpp2fl/fl mice, analyzed by intravital two-photon microscopy. Intranodal T-cell migration in the PLN was analyzed 15–25 hr after injecting eGFP-expressing CD4+ T cells into Ccl19-Cre Enpp2fl/fl or Enpp2fl/fl mice. (A) Automated tracking of CD4+ T-cell migration (upper panels), and images rotated to display the z-dimension of the volume (lower). Trajectories of 50 randomly chosen cells are displayed as color-coded tracks to show movement over time, from blue (start of imaging) to red (end of imaging). (B) Translated tracking with a common origin. (C-E) Analysis of T cell motility. See also Figure 3—figure supplement 2. (C) Average cell velocity. Each dot represents the average velocity of an individual cell, and bars indicate the median. Pooled data are shown in Figure 3—figure supplement 1. (D) Mean displacement plot. (E) Motility coefficients, calculated from the slope of the regression line of the mean displacement plot as x2/6t, where x is the displacement at time t. Data represent the mean ± SD (C) or mean ± SEM (D, E). Data are representative of three independent experiments. Differences between groups were evaluated by Student’s t-test. *P < 0.05, **P < 0.005, ***P < 0.0005. Bars, 100 μm.

https://doi.org/10.7554/eLife.10561.007

Adoptively transferred Lpar2-deficient T cells are retained in LNs

To understand how LPA regulates intranodal T-cell migration, we analyzed the LPA-receptor expression in lymphocytes. As shown in Figure 4A, CD4+ T cells, CD8+ T cells, and B cells expressed different levels of Lpar2, Lpar5, and Lpar6, encoding LPA2, LPA5 and LPA6 respectively, with B cells expressing relatively high levels of Lpar2 compared to T cells.

Figure 4
Download asset Open asset
Lpar2 deficiency causes T cells to be retained in LNs.

(A) LPA-receptor expression in lymphocyte subsets: CD4+ T, CD8+T, B cells and whole LNs were analyzed by real-time RT-PCR; expression levels were normalized to Gapdh. Data shown are representative of three individual experiments. (B–D) Migration of LPA receptor–deficient lymphocytes into secondary lymphoid tissues. Splenocytes from eGFP-expressing mice and from Lpar2-/-, Lpar5-/-, or Lpar6-/- mice were mixed in equal numbers, labeled with biotin, and injected intravenously into WT recipients. After 1.5 hr, secondary lymphoid tissues were collected from the recipient mice and donor-derived lymphocytes were detected with flow cytometry. (B) Ratio of LPA receptor-deficient (Lpar2-/-, Lpar5-/- or Lpar6-/-) cells to eGFP-expressing (WT) cells that migrated into the spleen, peripheral LN, and MLN after adoptive transfer into WT recipient mice. (C) Representative dot plots of donor cells (before transfer) and biotinylated cells in LNs of recipient mice (after transfer). (D) Lpar2-/- lymphocyte subpopulations that migrated into the spleen, peripheral LN, and MLN of recipient mice. Data shown for adoptive transfer experiments using Lpar2-/-, Lpar5-/- and Lpar6-/- lymphocytes are representative of five, two, and three independent experiments, respectively (n=4 mice per group). (E, F) Localization of adoptively transferred WT and Lpar2-/- CD4+T cells in LNs. DiD-labeled CD4+ T cells from WT mice (1 x 107 cells, pseudocolored in green) were mixed equally with CMTMR-labeled Lpar2-/- CD4+ T cells (red) and injected intravenously into WT recipient mice; 90 min later, Alexa Fluor 488-conjugated MECA-79 mAb (pseudocolored in blue) was injected intravenously to visualize HEVs. (E) LNs were collected and analyzed by confocal microscopy. (F) The distance that CD4+ T cells migrated from HEVs was measured, and the ratio of Lpar2-/- to WT T cells was calculated. Data represent mean ± SD from 3 mice. Data are representative of two (E, F) independent experiments. (G) Ratio of Lpar2-/- T cells to WT T cells retained in LNs when lymphocyte entry into LNs was blocked. CFSE-labeled CD45.1+ WT and CD45.2+Lpar2-/- CD4+ T cells were intravenously injected into CD45.2+ WT mice. Two hours later, anti-L-selectin antibody (MEL-14) was injected (T = 0 hr). At T=0 hr and T=23 hr, the total cell number in LNs (left) and the frequency of donor-derived cells (right) were measured. Data are pooled from two independent experiments. Data represent the mean ± SD (A, B, D, F, G). Differences between groups were evaluated by one-way ANOVA (B, D, G [right]) or Student’s t-test (G [left]). *P < 0.05, **P < 0.005, ***P < 0.0005. Bars: 100 μm.

https://doi.org/10.7554/eLife.10561.010

We next examined whether LPA-receptor deficiency in lymphocytes causes abnormal migration into LNs, as seen in myosin IIA–deficient T cells (Jacobelli et al., 2010). Splenocytes from eGFP-expressing mice and from LPA receptor-deficient mice were biotinylated, mixed in equivalent numbers, and injected intravenously into WT recipients, and lymphocytes that migrated into the LNs and spleen were counted 1.5 hr later. As shown in Figure 4B, Lpar5-/- and Lpar6-/- lymphocytes migrated into the LN and spleen at levels comparable to WT lymphocytes. In contrast, there were more Lpar2-/- than WT lymphocytes in the LNs but not the spleen (Figure 4B,C). Among the migrating cells, this increase was evident for CD4+ T cells and CD8+ T cells but not B cells (Figure 4D). A similar increase was also observed when purified CD4+ T cells were used (Figure 4G). These results suggest two possibilities for the role of LPA2: one is that LPA2 negatively regulates the entry of T cells into LNs across HEVs, and the other is that LPA2 promotes intranodal T-cell motility and hence their egress from the LNs. To test these hypotheses, we co-injected differentially labeled WT and Lpar2-/- T cells and examined their intranodal localization after 90 min by whole-mount LN analysis. Among the donor T cells in the LN parenchyma, Lpar2-/- and WT T cells localized in the vicinity of HEVs (within 50 μm distance) at comparable levels (Figure 4E and F), indicating that LPA2 plays a minor role in T cell entry into LNs across HEVs. By contrast, Lpar2-/- T cells localized more frequently in the area distant (more than 50 μm away) from HEVs compared with WT T cells (Figure 4E and F), consistent with the hypothesis that LPA promotes intranodal T cell migration via LPA2, and hence, Lpar2-deficient T cells were retained in the LN parenchyma. To directly assess the involvement of the LPA2 signaling in T-cell egress from LNs, we blocked the T cell entry by injecting anti-L-selectin antibody MEL-14 intravenously (T = 0 hr), and measured the number of WT and Lpar2-/- CD4+ T cells residing in the LNs 23 hr after the injection. As shown in Figure 4G, the blockade of T cell entry (T = 23 hr) resulted in reduction of the cellularity in LNs and increased the ratio of Lpar2-/- T cells to WT cells compared to that before the injection. These results indicate that retention of Lpar2-deficient T cells was seen even after blockade of lymphocyte ingress to LNs and are compatible with the hypothesis that Lpar2-deficiency leads to T cell retention in the LN parenchyma without affecting lymphocyte migration into LNs.

LPA2-mediated signaling regulates intranodal T-cell migration

To verify that LPA2-mediated signaling is required for intranodal T-cell motility, we next compared the intranodal migration of Lpar2-deficient and WT T cells. We adoptively transferred CD4+ T cells from Lpar2-/- mice and WT mice and used intravital two-photon microscopy to compare the behavior of these cells in the PLN of the recipient mice. Preliminary experiments indicated that the lymphocyte labeling used for in vivo cell tracking did not affect cell motility under the experimental conditions (unpublished observation). Compared to WT T cells, the Lpar2-/- T cells moved noticeably more slowly and had comparatively shorter track lengths and less displacement from their original position per unit of time (Figure 5A, Figure 5—figure supplement 1, Video 2). Lpar2-/- T cells had a 13% lower average velocity (Figure 5B), a 45% lower mean square displacement (Figure 5C), and a 70% lower motility coefficient than WT T cells (Figure 5D), although the directionality of T-cell motion was comparable in these cell types (Figure 5—figure supplement 2). Results using explanted LNs were compatible with those from intravital imaging analysis (unpublished observation).

Figure 5 with 3 supplements see all
Download asset Open asset
Lpar2 deficiency attenuates intranodal T-cell migration.

(A–D) Analysis of the intranodal migration of WT and Lpar2-/- CD4+ T cells in the PLN of WT mice by intravital two-photon microscopy. CD4+ T cells from eGFP-expressing mice (green, 5 x 106 cells) mixed with an equal number of CMTMR-labeled Lpar2-/- CD4+ T cells (red) were injected into WT mice; the transferred cells' internodal migration was analyzed by intravital two-photon microscopy 15–25 hr later (Figure 5—figure supplement 1). (A) Translated tracking of CD4+ T-cell migration with a common origin. (B-D) Analysis of T cell motility. See also Figure 5—figure supplement 2. (B) Average cell velocity. Each dot represents the average velocity of an individual cell; bars indicate the median. (C) Mean displacement plot. (D) Motility coefficient. (E–G) The intranodal migration of WT and Lpar2-/- CD4+ T cells in the PLN of Ccl19-Cre Enpp2fl/fl or Enpp2fl/fl mice. Lpar2-/- CD4+ T cells and WT CD4+ T cells were mixed in equivalent numbers and injected into Enpp2fl/fl (E) or Ccl19-Cre Enpp2fl/fl mice (F). The mean displacement (E, F) and motility coefficient (G) are shown. (H–J) The intranodal migration of WT and Lpar2-/- CD4+ T cells in the presence of anti-LFA-1 blocking antibody. (H) Average cell velocity. (I) Mean displacement plot. (J) Motility coefficient. Data are representative of at least three (A–D, H–J) or, two (E–G) independent experiments. Pooled data of two photon microscopic analyses are shown in Figure 5—figure supplement 3. Data represent the mean ± SD (B, H) or mean ± SEM (C–G, I, J). Differences between groups were evaluated by Student’s t-test (B, D, G, J) or one-way ANOVA (H). *P < 0.05, **P < 0.005, ***P < 0.0005. Bars: 100 μm.

https://doi.org/10.7554/eLife.10561.011
Video 2
Download asset
Lpar2 deficiency attenuated the intranodal T-cell motility.

Intravital two-photon microscopy of the intranodal migration of eGFP-expressing CD4+ T cells (green) and CMTMR-labeled Lpar2-/- CD4+ T cells (red) in PLNs 15 hr after the cells were injected into WT mice. Data shown are representative of three independent experiments. Bar, 100 μm.

https://doi.org/10.7554/eLife.10561.015

We next examined the importance of the LPA2 receptor in the FRC-derived LPA-dependent T-cell motility in the LN parenchyma. WT and Lpar2-/- CD4+ T cells were mixed and injected intravenously into Enpp2fl/fl or Ccl19-Cre Enpp2fl/fl mice, and the migration of these cells within the LN was monitored. In Enpp2fl/fl mice, Lpar2-/- T cells had significantly less intranodal motility than WT cells (Figure 5E,G and Figure 5—figure supplement 3A,B). On the other hand, a reduced intranodal motility of Lpar2-/- T cells was not observed in Ccl19-Cre Enpp2fl/fl mice, which lack ATX/LPA in the FRCs (Figure 5F,G and Figure 5—figure supplement 3A,B). These results indicate that intranodal T-cell motility is regulated via LPA2 on T cells and that the LPA2-mediated T-cell motility requires FRC-derived LPA.

Because LFA-1 regulates high-speed intranodal T cell migration (Katakai et al., 2013; Woolf et al., 2007), we examined integrin dependency in the LPA2-mediated intranodal T-cell migration by transferring the WT and Lpar2-/- T cells and monitoring the cell migration before and after injecting anti-LFA-1 antibody (M17/4). As shown in Figure 5H–J and Figure 5—figure supplement 3C–E, the blockade of the interaction between LFA-1 and ICAM-1 significantly attenuated WT T cell motility as reported previously (Katakai et al., 2013; Woolf et al., 2007). Of note, even in the absence of the LFA-1/ICAM-1 interaction, Lpar2 deficiency reduced T-cell motility, and the extent of reduction in T-cell velocity (19.9 ± 5.5%) and motility coefficient (43.5 ± 16.8%) was comparable to that observed in the presence of the integrin interaction (15.8 ± 4.4% and 43.0 ± 13.6% reduction in velocity and motility coefficient, respectively) (Figure 5H–J and Figure 5—figure supplement 3C–E). These results support the hypothesis that LPA/LPA2 regulates T-cell motility at least partly in an integrin-independent manner.

LPA enhances T-cell migration across narrow pores in an LPA2/Rho-dependent manner

LPA is reported to promote T-cell migration in a two-dimensional (2D) environment by inducing chemokinesis (Katakai et al., 2014; Zhang et al., 2012; Knowlden et al., 2014). We therefore investigated the motility of WT and Lpar2-deficient CD4+ T cells in a 2D environment by time-lapse microscopy. Untreated or LPA-pretreated CD4+ T cells were applied to one side of an EZ-Taxiscan chamber coated with ICAM-1, and the migration of cells toward CCL21 placed on the other side of the chamber was monitored in real time. As shown in Figure 6A,B, WT T cells efficiently migrated toward CCL21 in response to LPA in a time-dependent manner. Compared to untreated WT T cells, LPA-sensitized WT T cells had a higher velocity and a smaller mean turning angle (Figure 6C,D). In contrast, LPA treatment did not enhance the migration of Lpar2-/- T cells toward CCL21.

Figure 6
Download asset Open asset
LPA/LPA2-mediated signaling promotes T-cell migration on a 2D surface.

CD4+ T cells from WT or Lpar2-/- mice were left untreated or were treated with LPA (1 μM) and immediately loaded on one side of an EZ-Taxiscan chamber, and medium containing CCL21 (100 ng) was applied on the other side. (A) Cell migration on a surface coated with ICAM-1-Fc was monitored at 1-min intervals. (B) Cells that migrated toward the CCL21-containing contra-wells were counted, and the (C) average cell velocity and (D) turning angle were calculated. Bars represent the median. Differences between groups were evaluated by Student’s t-test. *P < 0.05, **P < 0.005.

https://doi.org/10.7554/eLife.10561.016

We next examined whether LPA also regulates T-cell migration via LPA2 in a three-dimensional (3D) environment, in which leukocyte migration largely depends on actomyosin contraction (Lämmermann and Germain, 2014). Transwell analyses have shown that lymphocyte migration across a filter with a 3-μm pore diameter depends on ROCK/myosin II signaling, while migration across a 5-μm pore does not (Soriano et al., 2011). Since LPA induces chemokinesis (Kanda et al., 2008; Katakai et al., 2014), we added LPA to lymphocytes placed in the upper chamber of a Transwell apparatus with a 3-μm pore diameter filter and counted the cells that migrated to the lower well. As shown in Figure 7A, LPA sensitization enhanced the migration of CD4+ T cells, and this enhancement was strongly inhibited by the ROCK inhibitor Y27632 (Figure 7A), or the myosin II ATPase inhibitor blebbistatin (Figure 7B), but not by pertussis toxin (PTX), which inhibits Gαi signaling (Figure 7A). At 1 μM, LPA prominently induced chemokinesis in WT CD4+T cells, consistent with previous reports (Kanda et al., 2008; Katakai et al., 2014) (Figure 7C), but this effect was not observed in Lpar2-/- CD4+ T cells (Figure 7C). As shown in Figure 7D and E, LPA induced RhoA activation in WT but not Lpar2-/- CD4+ T cells. Reminiscent of the findings of Soriano et al for ROCK/myosin II signaling (Soriano et al., 2011), LPA noticeably enhanced the CCL21-dependent migration of T cells across a 3-μm- but not 5-μm-pore diameter filter (Figure 7F), and that Lpar2 deficiency abolished the LPA-induced enhancement (Figure 7G).

Figure 7
Download asset Open asset
LPA/LPA2 axis regulates T-cell migration in a Rho/ROCK/myosin II-dependent manner.

(A, B) The involvement of ROCK-myosin II signaling in LPA-enhanced cell migration across narrow pores. Lymphocytes were pretreated with the indicated concentrations of blebbistatin (Bleb), Y27632 (10 μM), or PTX (100 ng/ml), and were added with LPA to the upper chamber of a Transwell apparatus with a 3-μm-pore filter. After 2 hr, the migrated CD4+ T cells in the lower chambers were counted by flow cytometry. (C) Role of LPA2 in the LPA-induced chemokinesis of CD4+ T cells. WT or Lpar2-/- lymphocytes were added with various concentrations of LPA to the upper chamber. (D) Role of LPA2 in the LPA-induced activation of RhoA. WT and Lpar2-/- T cells were incubated with 1 μM LPA for the periods indicated, and were lysed immediately thereafter. RhoA-GTP in the lysates was pulled down using Rhotekin and was detected with an anti-RhoA antibody. (E) The relative band intensities of LPA-treated WT and Lpar2-/- T cells, normalized to untreated WT and Lpar2-/- T cells, respectively. (F) Effect of LPA on CD4+ T cell migration through Transwell membranes with a pore diameter of 3 or 5 μm. WT lymphocytes pretreated with or without LPA (1 μM) were applied to the upper chamber, and CCL21 (200 ng/ml) was added to the lower chamber. (G) Role of LPA2 in LPA-induced enhancement of CD4+ T cell chemotaxis toward CCL21. WT or Lpar2-/- lymphocytes were added with LPA (1 μM) to the upper chamber and CCL21 (200 ng/ml) was added to the lower chamber. Data are representative of two (A, B) or at least three (C–G) independent experiments (n = 3 per group). Data were evaluated by one-way ANOVA (A–C, F, G) or Student’s t-test (E) and represent the mean ± SD. *P < 0.05, **P < 0.005.

https://doi.org/10.7554/eLife.10561.017

The myosin II signaling allows T cells to make selective contacts with the adhesive substrates, enabling rapid movement (Jacobelli et al., 2010). We thus measured cell surface adhesion area in WT and Lpar2-/- T cells by total internal reflection fluorescence (TIRF) microscopy (Jacobelli et al., 2010). As shown in Figure 8A,B, and D, LPA limited T-cell adhesion area on the fibronectin- or ICAM-1-coated substrate in WT T cells, which was inhibited by treatment of cells with blebbistatin, but this effect was not observed in Lpar2-/- T cells, suggesting that Lpar2-/- T cells over-adhere to substrate coated with or without LFA-1 ligand. Consistently, the LPA/LPA2 signaling induced T-cell elongation in a myosin II-dependent manner, allowing swift cell movement (Figure 8A, C, E).

Figure 8
Download asset Open asset
LPA/LPA2 axis limits T cell-adhesion area on adhesive substrates.

(A–C) Role of the LPA/LPA2 axis in T cell adhesion and morphology. CMFDA-labeled T cells were incubated on a fibronectin- (A–C) or ICAM-1- (D, E) coated slide glass, pretreated with or without blebbistatin (50 μM), and stimulated with LPA (1 μM). The adhesion area of CD4+ cells was assessed by TIRF microscopy (green) (A-B, D). Aspect ratio (cell length/cell breadth) and circularity (4 x π x area/perimeter2) (C, E) were assessed by bright-field images. Bars: 5 μm. Data are pooled from two independent experiments. Differences between groups were evaluated by one-way ANOVA. ***P < 0.0005.

https://doi.org/10.7554/eLife.10561.018

We finally analyzed LPA's effect on lymphocyte migration in a more complex confined 3D environment using 3D collagen gel (Figure 9A). T cells were placed in type I collagen gel, with LPA placed on one side of the gel and CCL21 plus LPA (5 μM) on the other. WT T cells efficiently migrated toward CCL21 in the presence of LPA, with increased displacement (Figure 9B) and velocity (Figure 9C) compared with cells stimulated with CCL21 alone, whereas the directionality of T cell movement in the gel was comparable in the presence or absence of LPA (Figure 9—figure supplement 1). The LPA’s effect was abrogated by treatment of the cells with Y27632 or blebbistatin (Figure 9D). In Lpar2-/- T cells, CCL21 did not enhance motility in the presence of LPA (Figure 9B,C). These results collectively indicate that in confined 3D environments, the LPA-LPA2 axis regulates T-cell motility in a manner dependent on Rho, ROCK, and actomyosin.

Figure 9 with 1 supplement see all
Download asset Open asset
LPA/LPA2 axis promotes T-cell motility in a confined 3D environment.

(A) Illustration of the 3D migration assay. The cell suspension was mixed with collagen gel (1.6 mg/ml). CCL21 (5 μg/ml) was loaded into one side of the gel, and LPA (5 μM) was applied to both sides. The migration of eGFP-expressing CD4+ T cells or their Lpar2-/- counterparts was recorded for 120 min by time-lapse microscopy. (B) Manual tracking of T cell motility. (C) T cell velocity. See also the directionality of T cell movement in Figure 9—figure supplement 1. (D) Involvement of myosin II/ ROCK in LPA-induced T cell motility. After eGFP-expressing CD4+ T cells and WT counterparts were treated with vehicle and indicated inhibitors, respectively, they were mixed with the collagen gel and monitored for cell migration. Data are representative of two independent experiments (B, C) and pooled from two independent experiments (D). Differences between groups were evaluated by Student’s t-test (C) or one-way ANOVA (D). *P < 0.05, **P < 0.005, ***P < 0.0005.

https://doi.org/10.7554/eLife.10561.019

Taken together, these results strongly suggest that the LPA2 signaling modulates T cell motility in the confined environments at least partly in an integrin-independent manner and may also act on cell adhesion to prevent over-adhesion to the substrates. LPA produced by FRCs is essential for this LPA2-dependent T-cell motility in densely packed LN parenchyma.

Discussion

LN tissue is densely packed with several types of cells, including lymphocytes, dendritic cells, and mesenchymal stromal cells. Lymphocyte migration in such confined environments is influenced by a delicate balance between actin polymerization/cell adhesion and actomyosin contraction/cell de-adhesion. In this study, we demonstrated that LPA is generated ATX-dependently by FRCs in the LN parenchyma, and that the LPA/LPA2-mediated signal activates Rho/myosin II in T cells. LPA2 signaling enhances T-cell migration in confined 3D collagen matrices and promotes interstitial T-cell migration in LNs in a manner dependent on FRC-derived LPA. These results strongly suggest that the LPA-LPA2 axis critically regulates the confinement-optimized T-cell motility in LNs.

We previously reported that ATX and LPA are produced by HEV ECs and pericytes (Bai et al., 2013). In the present study, we found that ATX is also generated by LN FRCs, in agreement with another recent study (Katakai et al., 2014), and that multiple LPA species are present in the LN parenchyma; in particular, we showed that LPA (18:1), LPA (18:2), and LPA (20:4) are produced in the paracortex in a manner dependent on FRC-derived ATX. The enzyme ATX has substrate specificity for LPCs with different acyl-chain lengths and saturations. Recombinant mouse ATX prefers LPC species with relatively short, unsaturated acyl chains, and produces LPA (18:2), LPA (16:0), LPA (20:4), and LPA (18:1) but not LPA (18:0) (Yukiura et al., 2011). Consistent with this observation, crystal structural analysis revealed that ATX accommodates LPA (18:1) and LPA (18:3) but not LPA (18:0) in a stable conformation in its hydrophobic pocket, accounting for ATX's preferences for the number of unsaturated bonds of LPC (18:0 < 18:1 < 18:3) (Nishimasu et al., 2011). While LPA (18:0) signals were detected in the LN parenchyma, they were ubiquitously found in other tissues independently of ATX expression; these signals are likely to represent intracellularly produced LPA, an intermediate in the synthesis of triglycerides and glycerophospholipids inside the cell (Mills and Moolenaar, 2003), which is relatively inert in activating LPA receptors (Bandoh et al., 2000). Taken together, our findings indicate that multiple biologically relevant LPA species (18:1, 18:2, 20:4) are produced by FRCs, which may in turn act locally on LPA receptors expressed by adjacent lymphocytes.

Lymphocyte morphology and migration modes adjust according to the microenvironmental context. T-cell motility on a 2D surface requires integrin-mediated adhesive forces and detachment from the integrin substrates, whereas the 3D T-cell motility in LNs only partially requires LFA-1-mediated interactions (Woolf et al., 2007). Jacobelli et al. (Jacobelli et al., 2010; Jacobelli et al., 2009) reported that lymphocytes are not restricted to adhesion-dependent motility in 3D environments, and that myosin IIA controls T-cell motility modes—including amoeboid motility, which is dependent on the degree of confinement of 3D environment, and prevents excessive adhesions on non-integrin substrates. In our in vitro model, LPA limited T-cell adhesion area on the fibronectin- and ICAM-1-coated substrate, and promoted chemokine-induced T-cell migration across 3-μm but not 5-μm filter pores and also in a confined collagen gel via LPA2 signaling. This enhanced migration was inhibited by the ROCK inhibitor Y27632 or the myosin II ATPase inhibitor blebbistatin. In vivo, the LPA/LPA2 axis promoted intranodal T-cell migration even in the absence of interaction between LFA-1 and its ligand. These findings indicate that LPA acts on LPA2 to enhance T-cell motility in chemokine-rich, confined environments at least partly independently of integrin-mediated adhesion or de-adhesion, and this enhancement depends mainly on ROCK/myosin IIA activity.

The importance of LPA2 in lymphocyte motility is suggested in recent findings by Knowlden et al (Knowlden et al., 2014) indicating that Lpar2 deficiency in lymphocytes is associated with inefficient lymphocyte movement within LNs, although it was not shown how LPA2-signaling affects lymphocyte migration and what kind of cells provide the ligand for LPA2. On the other hand, we showed that LPA activated the Rho GTPase in T cells via LPA2, promoting chemokine-induced T-cell migration across 3-μm- but not 5-μm-pore filters in vitro. We further demonstrated that FRC-derived LPA signaled T cells through LPA2 to sustain optimal T-cell motility in the LN parenchyma. Thus, LPA appears to serve as a cell-extrinsic factor regulating myosin II activity in CD4+ T cells, and the LPA2/ROCK/myosin II signaling pathway is critical for T-cell migration in the confined LN parenchymal environment. In addition, we showed that transferred Lpar2-/- T cells accumulated in LNs more abundantly than WT counterparts 1.5–2 hr after the cell transfer (Figure 4), whereas Knowlden et al showed that Lpar2-deficiency did not affect T-cell trafficking to LNs significantly 42 hr after cell transfer (Knowlden et al., 2014). It has been shown previously that intravenously injected CD4+ T cells swiftly migrate into LNs and a majority of them reside there for only about 12 hr (Mandl et al., 2012) before they enter the circulation. Therefore, at the time point used by Knowlden et al (Knowlden et al., 2014), labeled T cells in LNs might have included those that have re-entered into LNs.

We and others previously reported that LPA locally produced by HEV ECs regulates constitutive lymphocyte transmigration across HEVs (Bai et al., 2013; Zhang et al., 2012). This raises the question of whether LPA produced in the HEV area also affects T-cell motility in the LN parenchyma. In this regard, we are currently investigating the effect of EC-specific ATX ablation on lymphocyte behaviors within LNs but do not yet have a definitive answer. Concerning the question of whether LPA produced in the LN parenchyma would affect T-cell extravasation from the HEVs, we found comparable lymphocyte migration across HEVs in Enpp2fl/fl and Ccl19-Cre Enpp2fl/fl mice (unpublished observation). Given that Ccl19-Cre mice express transgenes in FRCs and in the mesenchymal cells ensheathing HEV ECs, but not in HEV ECs (Chai et al., 2013), and that biologically relevant LPA species were produced near HEVs at comparable levels in Ccl19-Cre Enpp2fl/fl mice and Enpp2fl/fl mice (Figure 2B,C), it appears that ATX produced outside HEVs plays a minor or dispensable role in the lymphocyte transmigration across HEVs.

While B cells expressed high levels of Lpar2 (Figure 4A), adoptively transferred Lpar2-deficient B cells were not retained in the LN (Figure 4D). Since B cells, like T cells, showed chemokinesis in response to LPA in an LPA2-dependent manner (unpublished observation), B cells may possess functional downstream elements for LPA2-mediated signals. However, whether their intranodal motility depends on motogenic factor(s) other than LPA requires further investigation.

Naïve T cells continuously search for antigen-bearing dendritic cells in the FRC-rich paracortex, and their random migration creates critical opportunities to encounter cognate antigens. It is possible that LPA promotes immune responses by increasing the T cells' chances of encountering dendritic cells. Once activated by TCR stimulation, T cells reduce their migration speed and S1P1 expression, and thus gain time to proliferate and differentiate into effector cells within the LN (Schwab and Cyster, 2007). Interestingly, TCR activation is reported to downregulate LPA2expression (Knowlden et al., 2014; Huang et al., 2002), which might reduce the velocity of the T cells and allow them to achieve proper activation.

Taken together, our work offers direct evidence that multiple biologically relevant LPA species produced by FRCs in an ATX-dependent manner act locally on LPA2 on T cells. This LPA2-mediated signaling activates the RhoA-ROCK-myosin II pathway and promotes confinement-optimized interstitial T-cell migration in LNs at least partly in an integrin-independent manner. Thus, the LPA-LPA2 axis is an attractive pharmacological target for novel strategies to control immune responses.

Materials and methods

Mice

C57BL/6J mice were obtained from Japan SLC. Beta-actin-eGFP mice were a gift from Dr. Masaru Okabe (Research Institute of Microbial Diseases, Osaka University) (Okabe et al., 1997). Lpar2-/- mice and Enpp2-flox mice were provided by Dr. Jerold Chun (the Scripps Research Institute) (Contos et al., 2002) and Dr. Woulter H. Moolenaar (The Netherlands Cancer Institute) (van Meeteren et al., 2006), respectively, to one of us (JA). The Ccl19-Cre mice were described previously (Chai et al., 2013). The Lpar5-/- and Lpar6-/- mice will be described elsewhere. B6.129X1-Gt(ROSA)26Sortm1Hjf (R26-YFP) mice and CD45.1 mice were purchased from the Jackson Laboratory (Bar Harbor, ME). All mice were housed at the Institute of Experimental Animal Sciences at Osaka University Medical School or Central Animal Laboratory at University of Turku. Animal experiments at Osaka University followed protocols approved by the Ethics Review Committee for Animal Experimentation of Osaka University Graduate School of Medicine. The experiments performed in Finland were approved by the Ethical Committee for Animal Experimentation in Finland and, they were done in accordance with the rules and regulations of the Finnish Act on Animal Experimentation (62/200).

Reagents and antibodies

Request a detailed protocol

Anti-PNAd (MECA-79) mAb was purified using a size-exclusion column with size-exclusion resin (Toyopearl TSK HW55; Tosoh, Japan) from the ascites of mice inoculated with the hybridoma. Purified MECA-79 was labeled with the Alexa Fluor 488 Protein Labeling Kit (Thermo Fisher Scientific, Waltham, MA). APC anti-CD4, Pacific Blue anti-CD8, APC-Cy7 anti-B220, APC anti-gp38, and biotin anti-CD31 mAbs were purchased from Biolegend (San Diego, CA). Anti-L-selectin mAb (MEL-14) was generated from the hybridoma, and anti-integrin LFA-1 (αL) mAb (M17/4) was purchased from Bio X cell (Lebanon, NH). Streptavidin-BD Horizon V500 was obtained from BD Biosciences (San Jose, CA), and LPA (18:1) and blebbistatin were from Sigma-Aldrich (St. Louis, MO). Mouse CCL21 and mouse ICAM-1-Fc were from R&D Systems (Minneapolis, MN).

Stromal cell isolation

Request a detailed protocol

FRCs and BECs were isolated as described previously (Fletcher et al., 2011). Cells were incubated with PE anti-CD45, APC anti-gp38, and biotin anti-CD31 mAbs, followed by streptavidin-BD Horizon V500. Stromal-cell populations were sorted by FACSAria (BD Biosciences).

Real-time RT-PCR

Request a detailed protocol

Total RNA was isolated using RNeasy (Qiagen, Germany), and single-strand cDNA was synthesized using M-MLV reverse transcriptase (Promega, Fitchburg, WI) with a random primer. PCR was performed using the Go Taq qPCR system (Promega) at 95°C for 10 min followed by 40 cycles at 95°C for 15 s and 60°C for 1 min. The PCR primer pairs are described in Supplementary file 1.

Transmission electron microscopy

Request a detailed protocol

ATX localization was examined by immuno-transmission electron microscopy as previously described (Bai et al., 2013). Cryosections were incubated with a guinea pig–derived polyclonal antibody against mouse ATX.

Soluble LTβR-Fc treatment

Request a detailed protocol

The LTβR-Fc expression vector, in which LTβR's extracellular domain was fused to the Fc region of human IgG1, was a gift from Dr. Atsushi Togawa (Yoshida et al., 2002) (Fukuoka University Hospital). LTβR-Fc was expressed in 293T cells and purified by a HiTrap Protein A column (GE Healthcare, UK). To block LTβR signaling, LTβR-Fc or control human IgG Fc (100 μg each) was injected intraperitoneally into mice (8–12 weeks old) weekly for 4 weeks as described previously (Browning et al., 2005).

Imaging mass spectrometry (IMS)

Request a detailed protocol

IMS was performed as previously described (Bai et al., 2013), with minor modifications. Briefly, fluorescein-conjugated dextran (40 kDa) (Thermo Fisher Scientific) was injected into the foreleg footpads to visualize LN structures, and 10 min later, brachial LNs were collected and snap-frozen in liquid nitrogen. Cryosections (8-μm thick) were cut and transferred onto glass slides coated with Indium Tin Oxide (Resistance, 20 ohm; Matsunami, Japan). The sections were washed with 0.03% formate to remove endogenous salts and coated with matrix compound (10 mg/ml 9-aminoacridine dissolved in 70% ethanol). IMS analysis was performed with a MALDI-QIT-TOF-mass spectrometer (iMscope; Shimadzu, Japan) equipped with a 355-nm Nd:YAG laser. Ions at m/z 437, 435, 433 and 457, which include ions of LPA (18:0), LPA (18:1), LPA (18:2), and LPA (20:4) respectively, were fragmented by collision-induced dissociation, and the ions produced were analyzed. The ion at m/z 153 corresponded to the LPA-specific fragment ion. MS/MS imaging analysis was performed at a raster scan pitch of 50 μm. Image reconstruction of the LPA signals was performed with BioMap Software (Novartis, Switzerland). Images of fluorescein-dextran in the same section were acquired before IMS analysis. For immunohistochemical analyses, serial sections were stained with Alexa Fluor 594-conjugated MECA-79 and Hoechst 33342, and examined by confocal microscopy (LSM710; Zeiss, Germany). Distances between LPA signals and MECA-79+ HEVs were measured with ImageJ software.

Intravital two-photon microscopy

Request a detailed protocol

Intravital two-photon microscopy was performed as described previously (Liou et al., 2012). Briefly, CD4+ T cells were isolated by negative selection kits (Stemcell Tech, Canada or Miltenyi Biotec, Germany) from the LNs and spleen of eGFP-expressing and Lpar2-/- mice. Lpar2-/- CD4+ T cells were labeled with 5 μM CMTMR (Thermo Fisher Scientific), mixed with an equivalent number of WT CD4+ T cells, and injected into recipient mice (5 x 106 cells/mouse); 15–25 hr later, the mice were anesthetized using isoflurane admixed with O2. The animals were placed on a custom-built preparation stage, the right hind leg was immobilized, and microdissection tweezers were used to expose the PLNs without jeopardizing the blood vessels and afferent lymphatic vessels. Sterile PBS at 37°C was applied to the stage to submerge the LNs, and the temperature was maintained at 37°C using a heating pad with a feedback probe. Two-photon laser-scanning microscopy was performed with an upright Leica TCS SP5 equipped with a 20x water immersion objective (HCX APO, N.A. 1.0; Leica, Germany) and a MaiTai Ti:sapphire-pulsed laser (Spectra-Physics, Santa Clara, CA) set at 880 nm for two-photon excitation. To generate time-lapse series, stacks of more than 30 x-y sections spaced at 2–3 μm were acquired every 20–30 s in resonance mode. For evaluating integrin-dependency in LPA-induced T-cell motility, 300 μg of anti-LFA-1 antibody was intravenously injected, and 1 hr later, cell migration was monitored again. Imaris software (Bitplane, UK) was used to track cells in 3D and measure the cells’ velocity and x, y, z coordinates. Mean displacement plots were calculated from the x, y, z coordinates using Excel (Microsoft, Redmond, WA) as described previously (Sumen et al., 2004). The motility coefficient (M) was calculated from the mean displacement plot as M = D2/6t, in which D is displacement and t is time, using 10-min tracks. The directionality of cells’ motion was calculated by dividing cells’ net displacement by the total path length, using over 10-min tracks (Sumen et al., 2004).

Lymphocyte migration assay by flow cytometry

Request a detailed protocol

Lymphocyte migration was assayed by flow cytometry as previously described (Bai et al., 2009). Splenocytes from eGFP-expressing mice and LPA receptor–deficient mice were mixed in equal numbers and incubated with Sulfo-NHS-LC-biotin reagent (80 μg/ml) (Thermo Fisher Scientific) for 30 min (Nolte et al., 2004). The biotin-labeled cells were injected intravenously into recipient mice (2 x 107 cells/mouse), and the LNs and spleen were harvested 1.5 hr later. The cell suspension was incubated with APC anti-CD4, Pacific Blue anti-CD8, APC-Cy7 anti-B220 mAbs, and streptavidin-PE. The frequencies of T and B cells in GFP+ and GFP- populations of biotinylated cells were analyzed by flow cytometry (FACSCanto, BD Biosciences).

Lymphocyte migration assay with whole-mount microscopy

Request a detailed protocol

Lymphocyte migration was assayed by whole-mount microscopy as described previously (Kanemitsu et al., 2005). Briefly, WT and Lpar2-/- CD4+ T cells (L-selectin+ CD44- naïve T cells in CD4+ T cells of WT and Lpar2-/- mice were 79.7 ± 10.7% and 78.7 ± 9.1%, respectively) were isolated by negative immunomagnetic cell sorting (Miltenyi Biotec) and labeled with 5 μM DiD and 5 μM CMTMR (Thermo Fisher Scientific), respectively. The cells were mixed in equal numbers (1 x 107 cells) and injected intravenously into WT mice; after 1.5 hr, MECA-79 mAb was injected to label the luminal HEV surface, and inguinal LNs were isolated. The LNs were fixed with 4% paraformaldehyde in phosphate buffer and incubated with sucrose (30%). Immunofluorescence signals were observed with a confocal laser-scanning microscope (FV1000-D, Olympus, Japan). The distance between T cells and the nearest HEV was measured using Imaris software.

T cell retention assay

Request a detailed protocol

T cell retention was assessed as described before with minor modifications (Pham et al., 2008). CD45.1+ WT and CD45.2+Lpar2-/- CD4+ T cells were isolated by negative sorting, mixed in equal numbers (1 x 107 cells), and labeled with 2 μM of CFSE (Thermo Fisher Scientific). The cells were injected intravenously into recipient WT mice; 2 hr later, the LNs and spleen were collected from half of the recipient mice, and 100 μg of anti-L-selectin antibody (MEL-14) was intraperitoneally injected into the rest of the recipient mice; 23 hr later, tissues were harvested from the antibody-treated mice. The frequency of donor-derived T cells was measured by flow cytometry.

Time-lapse 2D chemotaxis assay

Request a detailed protocol

An EZ-Taxiscan chamber (Effector Cell Institute, Japan) was used for time-lapse chemotaxis assays as described previously (Bai et al., 2009). Negatively sorted CD4+ T cells were incubated in serum-free medium for 30 min at 37°C. Cells were suspended in LPA (1 μM)-containing or control buffer (0.1% BSA/RPMI1640) and loaded into microchamber wells (4-μm deep), each holding a cover glass precoated with ICAM-1 (5 μg/ml), and 100 ng of CCL21 was applied to the contra-wells. Phase-contrast images of migrating cells were acquired at 1-min intervals for 1 hr at 37°C. Cells that migrated toward the contra-wells were counted from the images, and 30 migrating cells were tracked using the ImageJ (NIH) manual tracking plug-in. ImageJ software was also used to measure the cells’ velocity and x, y coordinates. Turning angles were calculated with Excel using the cells’ x, y coordinates.

Transwell migration assay

Request a detailed protocol

LN cells were incubated in serum-free medium (0.1% BSA/RPMI1640) for 30 min at 37°C. The cells (1 x 106 cells) were added in the presence or absence of LPA to the upper chamber of a Transwell apparatus (pore size, 3 or 5 μm; Corning, Corning, NY) and allowed to migrate for 2 hr at 37°C. In some experiments, CCL21 (200 ng/ml) was added to the lower chamber. Migrated cells were counted by flow cytometry using 6.0-μm Fluoscribe microspheres (Polysciences, Warrington, PA).

RhoA-GTP pull-down assay

Request a detailed protocol

FCS and fatty acid–free BSA were incubated with activated charcoal (Wako, Japan) to remove all lipid fractions. The spleen and LNs were collected, and a single-cell suspension was prepared in RPMI1640 containing 1% FCS. T cells were negatively sorted and starved in serum-free medium (0.1% BSA/RPMI1640) for 2 hr at 37°C. Next, cells (1 x 107) were stimulated with 1 μM LPA at 37°C for 2 or 5 min. The cells were collected by centrifugation and immediately dissolved in lysis buffer. The GTP-bound form of RhoA in the lysate was pulled down with Rhotekin and detected by western blotting using the RhoA Activation Assay Biochem Kit (Cytoskeleton, Denver, CO).

Measurement of T-cell adhesion area and morphology on the substrate

Request a detailed protocol

Splenocytes were labeled with 2 μM CMFDA ( Thermo Fisher Scientific) and incubated with biotin-conjugated anti-CD4 mAb. The cells were applied onto human fibronectin (0.002%, Sigma-Aldrich) or mouse ICAM-1-Fc (5 μg/ml)-coated glass slides and starved in serum-free medium (0.1% BSA/RPMI) for 2.5 hr at 37°C. The cells were then cultured in the presence or absence of 50 μM blebbistatin for 15 min, followed by stimulation with LPA (1 μM) for 30 min. After unbound cells were gently washed off, adherent cells were fixed with paraformaldehyde and CD4+ cells were stained by applying Alexa Flour 594-conjugated streptavidin. Surface adhesion zones of CD4+ T cells to the substrate were measured as CMFDA+ area by total internal reflection fluorescence (TIRF) microscopy (Jacobelli et al., 2010). TIRF images were acquired with Olympus IX71 equipped with a 100x oil immersion objective (PlanApo; Olympus), 488 nm blue laser (FITEL HPU50101; Furukawa Electric, Japan) and an electron multiplier CCD camera (C9100; Hamamatsu, Japan). The laser and camera were controlled by Metamorph software (Molecular Devices, Sunnyvale, CA). The circularity was calculated as (4 x π x area)/perimeter2. The value should range from 0 to 1, and value 1 represents most circular. The aspect ratio was calculated as a ratio of cell length to cell breadth. These morphology parameters were analyzed with brightfield images by using ImageJ software.

Time-lapse 3D migration assay

Request a detailed protocol

3D migration assays were performed with μ-Slide Chemotaxis3D (Ibidi, Germany) according to the manufacturer's protocol. Negatively sorted CD4+ T cells were incubated in serum-free medium for 1 hr at 37ºC. In some experiments, the cells were treated by 50 μM blebbistatin or 10 μM Y27632. Cell suspensions were mixed with collagen type I (Advanced Biomatrix, San Diego, CA) and incubated for 1 hr at 37°C to allow collagen polymerization. The final cell and gel concentrations were 9 x 106 cells/ml and 1.6 mg/ml, respectively. CCL21 (5 μg/ml) and LPA (5 μM) were loaded into one side of the reservoir, and LPA (5 μM) was applied to the other side. Fluorescent and phase-contrast images of migrating cells were acquired at 1-min intervals for 3 hr at 37°C using an inverted microscope (IX-81, Olympus), and 30 migrating cells were manually tracked and their velocity measured using ImageJ software.

Statistical analysis

Request a detailed protocol

Differences between groups were evaluated using Prism software (GraphPad Software, La Jolla, CA) by Student's t-test for single comparisons or one-way ANOVA for multiple comparisons, followed by post-hoc Tukey tests. A P value < 0.05 was considered significant. Data are presented as mean ± SD unless otherwise described.

References

    1. Stracke ML
    2. Krutzsch HC
    3. Unsworth EJ
    4. Arestad A
    5. Cioce V
    6. Schiffmann E
    7. Liotta LA
    (1992)
    Identification, purification, and partial sequence analysis of autotaxin, a novel motility-stimulating protein
    The Journal of Biological Chemistry 267:2524–2529.

Article and author information

Author details

  1. Akira Takeda

    1. Laboratory of Immunodynamics, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
    2. WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan
    3. MediCity Research Laboratory, University of Turku, Turku, Finland
    Contribution
    AT, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article
    Competing interests
    The authors declare that no competing interests exist.

  2. Daichi Kobayashi

    1. Laboratory of Immunodynamics, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
    2. WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan
    Contribution
    DK, Acquisition of data, Analysis and interpretation of data
    Competing interests
    The authors declare that no competing interests exist.

  3. Keita Aoi

    1. WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan
    2. Department of Immunology and Cell Biology, Osaka University Graduate School of Medicine, Osaka, Japan
    Contribution
    KA, Acquisition of data, Analysis and interpretation of data
    Competing interests
    The authors declare that no competing interests exist.

  4. Naoko Sasaki

    Laboratory of Immunodynamics, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
    Contribution
    NS, Acquisition of data, Analysis and interpretation of data
    Competing interests
    The authors declare that no competing interests exist.

  5. Yuki Sugiura

    1. Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
    2. JST Precursory Research for Embryonic Science and Technology project, Saitama, Japan
    Contribution
    YS, Acquisition of data, Analysis and interpretation of data
    Competing interests
    The authors declare that no competing interests exist.

  6. Hidemitsu Igarashi

    Department of Immunology, Graduate School of Medicine, Akita University, Akita, Japan
    Contribution
    HI, Acquisition of data
    Competing interests
    The authors declare that no competing interests exist.

  7. Kazuo Tohya

    Department of Anatomy, Kansai University of Health Sciences, Awaji, Japan
    Contribution
    KT, Acquisition of data
    Competing interests
    The authors declare that no competing interests exist.

  8. Asuka Inoue

    Laboratory of Molecular and Cellular Biochemistry, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
    Contribution
    AI, Analysis and interpretation of data
    Competing interests
    The authors declare that no competing interests exist.

  9. Erina Hata

    1. Laboratory of Immunodynamics, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
    2. WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan
    Contribution
    EH, Analysis and interpretation of data
    Competing interests
    The authors declare that no competing interests exist.

  10. Noriyuki Akahoshi

    Department of Immunology, Graduate School of Medicine, Akita University, Akita, Japan
    Contribution
    NA, Acquisition of data
    Competing interests
    The authors declare that no competing interests exist.

  11. Haruko Hayasaka

    1. Laboratory of Immunodynamics, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
    2. WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan
    Contribution
    HH, Analysis and interpretation of data
    Competing interests
    The authors declare that no competing interests exist.

  12. Junichi Kikuta

    1. WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan
    2. Department of Immunology and Cell Biology, Osaka University Graduate School of Medicine, Osaka, Japan
    Contribution
    JK, Acquisition of data
    Competing interests
    The authors declare that no competing interests exist.

  13. Elke Scandella

    Institute of Immunobiology, Kantonal Hospital St. Gallen, St. Gallen, Switzerland
    Contribution
    ES, Contributed unpublished essential data or reagents
    Competing interests
    The authors declare that no competing interests exist.

  14. Burkhard Ludewig

    Institute of Immunobiology, Kantonal Hospital St. Gallen, St. Gallen, Switzerland
    Contribution
    BL, Drafting or revising the article, Contributed unpublished essential data or reagents
    Competing interests
    The authors declare that no competing interests exist.

  15. Satoshi Ishii

    Department of Immunology, Graduate School of Medicine, Akita University, Akita, Japan
    Contribution
    SI, Contributed unpublished essential data or reagents
    Competing interests
    The authors declare that no competing interests exist.

  16. Junken Aoki

    Laboratory of Molecular and Cellular Biochemistry, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
    Contribution
    JA, Analysis and interpretation of data, Contributed unpublished essential data or reagents
    Competing interests
    The authors declare that no competing interests exist.

  17. Makoto Suematsu

    1. Department of Biochemistry, Keio University School of Medicine, Tokyo, Japan
    2. Core Research for Evolutional Science and Technology project, Saitama, Japan
    Contribution
    MS, Analysis and interpretation of data
    Competing interests
    The authors declare that no competing interests exist.

  18. Masaru Ishii

    1. WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan
    2. Department of Immunology and Cell Biology, Osaka University Graduate School of Medicine, Osaka, Japan
    Contribution
    MI, Analysis and interpretation of data
    Competing interests
    The authors declare that no competing interests exist.

  19. Kiyoshi Takeda

    1. WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan
    2. Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
    Contribution
    KT, Analysis and interpretation of data
    Competing interests
    The authors declare that no competing interests exist.

  20. Sirpa Jalkanen

    MediCity Research Laboratory, University of Turku, Turku, Finland
    Contribution
    SJ, Analysis and interpretation of data
    Competing interests
    The authors declare that no competing interests exist.

  21. Masayuki Miyasaka

    1. Laboratory of Immunodynamics, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
    2. WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan
    3. MediCity Research Laboratory, University of Turku, Turku, Finland
    Present address
    Interdisciplinary Program for Biomedical Sciences, Institute for Academic Initiatives, Osaka University, Osaka, Japan
    Contribution
    MM, Conception and design, Analysis and interpretation of data, Drafting or revising the article
    For correspondence
    mmiyasak@orgctl.med.osaka-u.ac.jp
    Competing interests
    The authors declare that no competing interests exist.

  22. Eiji Umemoto

    1. Laboratory of Immunodynamics, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
    2. WPI Immunology Frontier Research Center, Osaka University, Osaka, Japan
    Present address
    Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Osaka, Japan
    Contribution
    EU, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article
    For correspondence
    umemoto@ongene.med.osaka-u.ac.jp
    Competing interests
    The authors declare that no competing interests exist.

Funding

Ministry of Education, Culture, Sports, Science, and Technology (24111005)

  • Masayuki Miyasaka
  • Eiji Umemoto

Ministry of Education, Culture, Sports, Science, and Technology (24590252)

  • Eiji Umemoto

Japan Science and Technology Agency

  • Yuki Sugiura
  • Makoto Suematsu

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Acknowledgements

We thank T Kondo and Y Magota for technical assistance, and S Yamashita and C Hidaka for secretarial assistance. We also thank Drs. T Tanaka and Y Arima for their critical reading of the manuscript, Dr. Y Okochi for helpful discussion on the experiments, and Dr. Y Okamura for giving us the opportunity to perform TIRF microscopy. This work was supported by Grants-in-Aid 24111005 (to EU and MM) and 24590252 (to EU) from the Ministry of Education, Culture, Sports, Science, and Technology of Japan, and JST PRESTO program (to YS). MS is the leader of JST ERATO Suematsu Gas Biology Project.

Ethics

Animal experimentation: All mice were housed at the Institute of Experimental Animal Sciences at Osaka University Medical School or Central Animal Laboratory at University of Turku. Animal experiments at Osaka University followed protocols approved by the Ethics Review Committee for Animal Experimentation of Osaka University Graduate School of Medicine. The experiments performed in Finland were approved by the Ethical Committee for Animal Experimentation in Finland and, they were done in accordance with the rules and regulations of the Finnish Act on Animal Experimentation (62/200).

Copyright

© 2016, Takeda et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,343
    views
  • 567
    downloads
  • 45
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Akira Takeda
  2. Daichi Kobayashi
  3. Keita Aoi
  4. Naoko Sasaki
  5. Yuki Sugiura
  6. Hidemitsu Igarashi
  7. Kazuo Tohya
  8. Asuka Inoue
  9. Erina Hata
  10. Noriyuki Akahoshi
  11. Haruko Hayasaka
  12. Junichi Kikuta
  13. Elke Scandella
  14. Burkhard Ludewig
  15. Satoshi Ishii
  16. Junken Aoki
  17. Makoto Suematsu
  18. Masaru Ishii
  19. Kiyoshi Takeda
  20. Sirpa Jalkanen
  21. Masayuki Miyasaka
  22. Eiji Umemoto
(2016)
Fibroblastic reticular cell-derived lysophosphatidic acid regulates confined intranodal T-cell motility
eLife 5:e10561.
https://doi.org/10.7554/eLife.10561

Share this article

https://doi.org/10.7554/eLife.10561

Categories and tags

Research organism

Further reading

    1. Cell Biology

    Constitutively active receptor ADGRA3 signaling induces adipose thermogenesis

    Zewei Zhao, Longyun Hu ... Zhonghan Yang
    Research Article

    The induction of adipose thermogenesis plays a critical role in maintaining body temperature and improving metabolic homeostasis to combat obesity. β3-adrenoceptor (β3-AR) is widely recognized as a canonical β-adrenergic G-protein-coupled receptor (GPCR) that plays a crucial role in mediating adipose thermogenesis in mice. Nonetheless, the limited expression of β3-AR in human adipocytes restricts its clinical application. The objective of this study was to identify a GPCR that is highly expressed in human adipocytes and to explore its potential involvement in adipose thermogenesis. Our research findings have demonstrated that the adhesion G-protein-coupled receptor A3 (ADGRA3), an orphan GPCR, plays a significant role in adipose thermogenesis through its constitutively active effects. ADGRA3 exhibited high expression levels in human adipocytes and mouse brown fat. Furthermore, the knockdown of Adgra3 resulted in an exacerbated obese phenotype and a reduction in the expression of thermogenic markers in mice. Conversely, Adgra3 overexpression activated the adipose thermogenic program and improved metabolic homeostasis in mice without exogenous ligand. We found that ADGRA3 facilitates the biogenesis of beige human or mouse adipocytes in vitro. Moreover, hesperetin was identified as a potential agonist of ADGRA3, capable of inducing adipocyte browning and ameliorating insulin resistance in mice. In conclusion, our study demonstrated that the overexpression of constitutively active ADGRA3 or the activation of ADGRA3 by hesperetin can induce adipocyte browning by Gs-PKA-CREB axis. These findings indicate that the utilization of hesperetin and the selective overexpression of ADGRA3 in adipose tissue could serve as promising therapeutic strategies in the fight against obesity.

    1. Cell Biology
    2. Chromosomes and Gene Expression

    TPR is required for cytoplasmic chromatin fragment formation during senescence

    Bethany M Bartlett, Yatendra Kumar ... Wendy A Bickmore
    Research Article Updated

    During oncogene-induced senescence there are striking changes in the organisation of heterochromatin in the nucleus. This is accompanied by activation of a pro-inflammatory gene expression programme – the senescence-associated secretory phenotype (SASP) – driven by transcription factors such as NF-κB. The relationship between heterochromatin re-organisation and the SASP has been unclear. Here, we show that TPR, a protein of the nuclear pore complex basket required for heterochromatin re-organisation during senescence, is also required for the very early activation of NF-κB signalling during the stress-response phase of oncogene-induced senescence. This is prior to activation of the SASP and occurs without affecting NF-κB nuclear import. We show that TPR is required for the activation of innate immune signalling at these early stages of senescence and we link this to the formation of heterochromatin-enriched cytoplasmic chromatin fragments thought to bleb off from the nuclear periphery. We show that HMGA1 is also required for cytoplasmic chromatin fragment formation. Together these data suggest that re-organisation of heterochromatin is involved in altered structural integrity of the nuclear periphery during senescence, and that this can lead to activation of cytoplasmic nucleic acid sensing, NF-κB signalling, and activation of the SASP.

    1. Cell Biology
    2. Medicine

    Long non-coding RNA Malat1 fine-tunes bone homeostasis and repair by orchestrating cellular crosstalk and β-catenin-OPG/Jagged1 pathway

    Yongli Qin, Jumpei Shirakawa ... Baohong Zhao
    Research Article

    The IncRNA Malat1 was initially believed to be dispensable for physiology due to the lack of observable phenotypes in Malat1 knockout (KO) mice. However, our study challenges this conclusion. We found that both Malat1 KO and conditional KO mice in the osteoblast lineage exhibit significant osteoporosis. Mechanistically, Malat1 acts as an intrinsic regulator in osteoblasts to promote osteogenesis. Interestingly, Malat1 does not directly affect osteoclastogenesis but inhibits osteoclastogenesis in a non-autonomous manner in vivo via integrating crosstalk between multiple cell types, including osteoblasts, osteoclasts, and chondrocytes. Our findings substantiate the existence of a novel remodeling network in which Malat1 serves as a central regulator by binding to β-catenin and functioning through the β-catenin-OPG/Jagged1 pathway in osteoblasts and chondrocytes. In pathological conditions, Malat1 significantly promotes bone regeneration in fracture healing. Bone homeostasis and regeneration are crucial to well-being. Our discoveries establish a previous unrecognized paradigm model of Malat1 function in the skeletal system, providing novel mechanistic insights into how a lncRNA integrates cellular crosstalk and molecular networks to fine tune tissue homeostasis, remodeling and repair.