Lipopolysaccharide stimulates dynamic changes in B cell metabolism to promote proliferation

  1. Dana MS Cheung
  2. Momchil Razsolkov
  3. Fabrizia Bonacina
  4. Stephen Andrews
  5. Megan C Sumoreeah
  6. Linda V Sinclair
  7. Andrew JM Howden
  8. J Simon C Arthur  Is a corresponding author
  1. Division of Cell Signalling and Immunology, Faculty of Life Sciences, University of Dundee, United Kingdom
  2. Department of Pharmacological and Biomolecular Sciences “Rodolfo Paoletti”, University of Milan, Italy
10 figures, 5 tables and 6 additional files

Figures

Figure 1 with 4 supplements
Stimulation with LPS + IL-4 promotes B cell proliferation and class switch recombination.

(A–D) Cells from the lymph nodes of C57BL6/J mice were stained with Cell Trace Violet (CTV) and stimulated with IL-4 (10 ng/ml) +/- LPS (20 μg/ml) for 72 hr and analysed by flow cytometry. Data for naive B cells (stained on day 0) is also shown. Live CD19+B cells were identified using the gating strategy described in Figure 1—figure supplement 4A. (A) Representative flow cytometry plots comparing IgG1 expression and CTV staining after 72 hr of IL-4 or LPS + IL-4 stimulation. (B) Representative plots for FSC and SSC at 72 hr of IL-4 or LPS + IL-4 stimulation with geometric means for the (C) forward scatter and (D) side scatter. Data shows the results of three biological replicates. Data was analysed by one-way ANOVA followed by multiple comparison testing via Sidak’s analysis. For comparisons to naive B cells, p<0.0001 is indicated by ****. Full ANOVA results are given in Supplementary file 5. (E–H) Cells from the lymph nodes of C57BL6/J mice were stimulated with LPS (20 μg/ml) and IL-4 (10 ng/ml) for 24 hr, then CD19+B cells were isolated by FACS. Alternatively, naive CD19+B cells were sorted directly from ex vivo lymph node cells. Cells were lysed and analysed by proteomics as described in the methods. Samples from four mice for LPS + IL-4 and three mice for naive were generated. (E) Total protein content (pg/cell) was estimated from the proteomic data. Statistical power was determined using an unpaired two-tailed Student’s t-test, where p<0.01 is indicated by **. (F) Volcano plot depicting changes in estimated protein copy number in naive vs LPS + IL-4 stimulated B cells. (G) Volcano plot showing the estimated cellular protein concentration (μM) in naive vs LPS + IL-4 stimulated B cells. Horizontal dashed lines indicate q<0.05. Vertical dashed lines indicate log2 fold change of one standard deviation away from the median. (H) Enrichment analysis of the upregulated proteins in (G) against GO-term and KEGG databases.

Figure 1—source data 1

Raw FACS files for Figure 1A-D (72 hr LPS + IL-4 stimulation lymph nodes).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig1-data1-v1.zip
Figure 1—figure supplement 1
Unstimulated B cells do not proliferate or undergo class switching.

(A–B) Lymph node cells from C57BL6/J mice were stained with Cell Trace Violet (CTV), cultured for 24 or 72 hr and analysed by flow cytometry. Live CD19+B cells were identified using the gating strategy described in Figure 1—figure supplement 4A. (A) Representative flow cytometry plots comparing IgG1 expression and CTV staining after 24 or 72 hr. (B) Representative plots for FSC and SSC at 24 or 72 hr.

Figure 1—figure supplement 2
LPS + IL-4 stimulation upregulates glycolysis in B cells.

(A) Volcano plot showing the cellular protein concentration (μM) of proteins involved in glycolysis, the citric acid cycle (TCA), and the pentose phosphate pathway (PPP) between naive vs LPS + IL-4 stimulated B cells derived from the proteomic dataset described in Figure 1. (B) Volcano plot showing the cellular protein concentration (μM) of proteins involved in the electron transport chain (ECT) between naive vs LPS + IL-4 stimulated B cells. (C) Volcano plot depicting changes in protein copy number of proteins involved in glycolysis, the TCA cycle and PPP between naive vs LPS + IL-4 stimulated B cells. (D) Volcano plot depicting changes in protein copy number of proteins involved in the ECT between naive vs LPS + IL-4 stimulated B cells. For (A–D), horizontal dashed lines indicate q<0.05. Vertical dashed lines indicate log2 fold change of one standard deviation away from the median. (E, F) Graphs depicting changes in cellular concentration (nM) of (E) SLC2A1 and (F) HK2. Adjusted p values from the FDR calculations applied to the proteomic dataset described in Figure 1, where p(adj)<0.05 is indicated by * and p(adj)<0.0001 by ****. (G, H) Splenocytes from C57BL6/J mice were stimulated with LPS (20 μg/ml) and IL-4 (10 ng/ml) for 24 hr before staining with MitoTracker Red to measure mitochondrial volume. Gating strategy described in Figure 1—figure supplement 4B. Representative histograms are shown in (G), and quantification of MFI of MitoTracker staining between naive and LPS + IL-4 stimulated B cells in (H). The graph shows three technical replicates from cells isolated from one mouse and is representative of three independent experiments. Statistical power was determined using an unpaired Student’s t-test (two-tailed), where p<0.001 is indicated by ***.

Figure 1—figure supplement 3
LPS + IL-4 stimulation does not increase STAT1 phosphorylation.

(A) Volcano plot showing the cellular protein concentration (μM) of proteins regulated by IFNα between naive vs LPS + IL-4 stimulated B cells derived from the proteomic dataset described in Figure 1. A list of B-cell-specific genes upregulated by IFNα stimulation from Mostafavi et al., 2016 (Table S1. Transcripts induced by systemic IFNa in different mouse immunocyte lineages). Horizontal dashed lines indicate q<0.05. Vertical dashed lines indicate log2 fold change of one standard deviation away from the median. (B, C) Splenocytes from C57BL6/J mice were stimulated with LPS (20 μg/ml) and/or IFN-β (10 ng/ml) for 15 min before fixing and staining for p-STAT1. Representative histograms are shown in (B), and quantification of the MFI of p-STAT1 staining between naive, IFN-β, LPS, and LPS +IFN-β stimulated B cells in (C). The graph shows three technical replicates from cells isolated from one mouse and is representative of three independent experiments. Statistical power was determined using one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis, where p<0.0001 is indicated by ****.

Figure 1—figure supplement 4
Representative gating strategies.

(A) Gating strategy for lymph nodes and splenocytes cell size, proliferation, CTV, IgG1 (Figure 1A–D). (B) Gating strategy for MitoTracker (Figure 1—figure supplement 2G–H). (C) Gating strategy for cell cycle analysis (Figure 2A, B, G, H). (D) Gating strategy for OPP uptake (Figure 3H-I, Figure 3—figure supplement 1A-B, Figure 9—figure supplement 2A).

Figure 1—figure supplement 4—source data 1

Raw FACS files for Figure 1—figure supplement 4A (lymph node gating strategy), 4B (MitoTracker gating strategy), 4 C (cell cycle analysis gating strategy), 4D (OPP gating strategy).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig1-figsupp4-data1-v1.zip
Proteins involved in cell cycle progression are upregulated in LPS + IL-4 activated B cells.

(A–B) B cells were purified from the spleens of C57BL6/J mice and either fixed on isolation (naive) or stimulated with LPS (20 μg/ml) and IL-4 (10 ng/ml) for 24 hr before fixation. Cells were then stained with DAPI and CD19. The cell cycle stages were analysed using the gating strategy shown in Figure 1—figure supplement 4C. (A) Representative histograms showing the proportion of B cells in different phases of the cell cycle. (B) Quantification shows three technical replicates from cells isolated from one mouse and is representative of three independent experiments. Statistical power was determined using two-way ANOVA followed by multiple comparison testing via Sidak’s analysis, where p<0.01 is indicated by **, p<0.001 by *** and p<0.0001 by **** for comparisons between the naive and LPS + IL-4 conditions. (C–F) Graphs depicting changes in the estimated cellular concentration (nM) of proteins implicated in entry into the cell cycle, determined from the proteomic dataset described in Figure 1. (C) Cyclin D, (D) CDK4, (E) CDK6, (F) p27Kip1. (G–H) B cells were purified from the spleens of C57BL6/J mice and stimulated with LPS (20 μg/ml) and IL-4 (10 ng/ml) for 24 hr before fixing and staining for phospho-retinoblastoma (p–Rb). Gating strategy for p-Rb staining is shown in Figure 1—figure supplement 4C. (G) Representative histogram comparing p-Rb staining in naive and LPS + IL-4 stimulated B cells. (H) Quantification shows three technical replicates from cells isolated from one mouse and is representative of three independent experiments. (I) Heat map showing the expression of proteins encoded by E2F target genes, derived from the proteomic data. (J–M) Graphs depicting changes in the estimated cellular concentration (nM) of proteins implicated in cell cycle progression, determined from the proteomic dataset described in Figure 1. (J) Cyclin A, (K) Cyclin B, (L) CDK2, (M) CDK1. P values were determined using an unpaired two-tailed Student’s t-test for (H) or represent adjusted p values from the FDR calculations applied to the proteomic dataset (D, E, F, L), where p(adj)<0.01 is indicated by **, p(adj)<0.001 by ***, and p(adj)<0.0001 by ****.

Figure 3 with 1 supplement
LPS + IL-4 stimulation promotes protein synthesis.

(A, B) Graphs show changes in cellular concentration (nM) of the sum of proteins that make up the large (A) and small (B) ribosomal subunits, with heat maps showing the expression of the individual proteins making up the (C) large and (D) small subunits. Adjusted p values from the FDR calculations applied to the proteomic dataset, where p(adj)<0.001 is indicated by ***. (E–G) The proteomic dataset was mined for proteins involved in the biogenesis of the large and small ribosomal subunits based on the GO terms: GO:0000027, GO:0042273, GO:0000028, GO:0042274. (E) shows the sum of the proteins involved in the biogenesis of the large subunit and (F) shows the small subunit, with individual proteins represented on the volcano plot (G). Horizontal dashed lines on (G) indicate q<0.05 while vertical dashed lines indicate log2 fold change more than one standard deviation away from the median. Adjusted p values from the FDR calculations applied to the proteomic dataset, where p(adj)<0.0001 is indicated by ****. (H–I) Splenocytes from C57BL6/J mice were stimulated with LPS (20 μg/ml) and IL-4 (10 ng/ml) for 24 hr before fixing and staining for the uptake of puromycin analogue O-propargyl-puromycin (OPP) to measure protein synthesis. Gating strategy for OPP staining is shown in Figure 1—figure supplement 4D. (H) Representative histogram comparing OPP uptake between naive and LPS + IL-4 stimulated B cells. (I) Quantification shows three technical replicates from cells isolated from one mouse. Statistical power was determined using an unpaired two-tailed Student’s t-test, where p<0.0001 is indicated by ****.

Figure 3—figure supplement 1
Protein synthesis is increased in B cells regardless of stimuli.

(A–B) Splenocytes from C57BL6/J mice were plated in normal media before stimulation with LPS (20 μg/ml), Resiquimod (1 μg/ml), ODN 1826 (1 μg/ml), anti-IgM (10 μg/ml), or CD40L (500 ng/ml) for 24 hr before fixing and staining for the uptake of puromycin analogue O-propargyl-puromycin (OPP) to measure protein synthesis. Gating strategy for OPP staining is shown in Figure 1—figure supplement 4D. (A) Representative histogram comparing OPP uptake between different stimuli. (B) Quantification shows the results of three biological replicates. Statistical power was determined using one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis. For comparisons to naive B cells, p<0.0001 is indicated by ****.

Figure 4 with 3 supplements
Amino acid transporter SLC7A5 is required for key B cell functions.

(A) Heat map showing the expression of genes encoding for proteins involved in plasma membrane amino acid transport determined from the proteomic dataset described in Figure 1. (B, C) Graphs depicting changes in cellular concentration (nM) of (B) SLC7A5 and (C) SLC3A2 derived from the proteomic data. Adjusted p values from the FDR calculations applied to the proteomic dataset, where p(adj)<0.0001 is indicated by ****. (D–E) Lymph node cells from C57BL6/J mice were stimulated with LPS (20 μg/ml) and IL-4 (10 ng/ml) for 24 hr before staining for CD98. (D) Representative FACS plot comparing CD98 expression. (E) Quantification shows three technical replicates from cells isolated from one mouse and is representative of two independent experiments. Statistical power was determined using one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis. For comparison to naive B cells, where p<0.001 is indicated by *** and p<0.0001 by ****. (F–I) B cells were purified from the spleens of wild type (WT) and Slc7a5fl/fl/Tg(Vav1-iCre)+/- mice and stained with CTV before stimulation with LPS (20 μg/ml) and IL-4 (10 ng/ml) for 72 hr. (F) Percentage of live B cells (7AAD-ve) in WT and Slc7a5fl/fl/Tg(Vav1-iCre)+/- mice. (G) Histogram representing CTV staining of WT and Slc7a5fl/fl/Tg(Vav1-iCre)+/- B cells. (H) Live B cell number of WT and Slc7a5fl/fl/Tg(Vav1-iCre)+/- mice. (I) Percentage of B cells that are IgG1+ve in WT and Slc7a5fl/fl/Tg(Vav1-iCre)+/- mice. Data shows the results of four biological replicates per genotype. Statistical power was determined using an unpaired two-tailed Student’s t-test, where p<0.0001 is indicated by ****. (J–K) B cells were purified from the spleens of WT and Slc7a5fl/fl/Tg(Vav1-iCre)+/- mice and stimulated with LPS (20 μg/ml) +/- IL-4 (10 ng/ml) for 24 hr before fixing and staining for the uptake of kynurenine to measure amino acid uptake. Gating strategy for kynurenine uptake in Figure 4—figure supplement 3A. (J) Quantification of kynurenine MFI between B cells from WT and Slc7a5fl/fl/Tg(Vav1-iCre)+/- mice with (+) or without (-) LPS +IL-4, kynurenine or aminobicyclo-(2,2,1)-heptane-2-carboxylic acid (BCH). (K) Quantification of kynurenine MFI between B cells from WT and Slc7a5fl/fl/Tg(Vav1-iCre)+/- mice with (+) or without (-) LPS, kynurenine or BCH. Data shows the results of four biological replicates per genotype. Statistical power was determined for using two-way ANOVA followed by multiple comparison testing via Sidak’s analysis, where p<0.0001 is indicated by **** for comparisons between genotypes.

Figure 4—source data 1

Raw FACS files for Figure 4D–E (CD98 staining), 4F-I (WT vs SLC7A5 KO proliferation).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig4-data1-v1.zip
Figure 4—source data 2

Raw FACS files for Figure 4J (Kynurenine uptake – LPS +IL-4 [WT vs SLC7A5 KO]), 4 K (Kynurenine uptake – LPS [WT vs SLC7A5 KO]).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig4-data2-v1.zip
Figure 4—figure supplement 1
LPS + IL-4 stimulation upregulates serine biosynthesis.

(A) Schematic depicting the serine biosynthetic pathway. (B–F) Graphs depicting changes in cellular concentration (nM) of (B) PHGDH, (C) PSAT1, (D) PSPH, (E) SHMT1, and (F) SHMT2. Adjusted p values from the FDR calculations applied to the proteomic dataset described in Figure 1, where p(adj)<0.05 is indicated by *, p(adj)<0.01 by **, p(adj)<0.001 by ***, and p(adj)<0.0001 by ****.

Figure 4—figure supplement 2
Short-term LPS stimulation increases the transcription of genes involved in amino acid uptake and cholesterol metabolism in B cells.

RNA-Seq data comparing reads per kilobase million (RPKM) between naive and LPS stimulated B cells at different time points from wild-type C57BL/6 mice derived from dataset EV1 (Tesi et al., 2019). Reads per kilobase million (RPKM) of (A) SLC7A5, (B) SLC3A2, (C) HMGCR, (D) SQLE, (E) LDLR, and (F) SREBP2. Statistical power was determined using one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis. For comparisons to naive B cells, p<0.01 is indicated by **, p<0.001 by ***, and p<0.0001 by ****. ns indicated by p>0.05.

Figure 4—figure supplement 3
Representative gating strategies.

(A) Gating strategy for kynurenine uptake (Figure 4J-K, Figure 9—figure supplement 2B). (B) Gating strategy for filipin staining (Figures 5F-I and 7A-B, Figures 8I-J and 9F, Figure 10A-B, Figure 5—figure supplement 2J, Figure 7—figure supplement 1). (C) Gating strategy for purified B cells for cell size, proliferation, and CTV (Figures 6A-P and 7C-F, Figures 8A-H and 9A-E, Figure 10C-E, Figure 5—figure supplement 2A-I).

Figure 4—figure supplement 3—source data 1

Raw FACS files for Figure 4—figure supplement 3A (Kynurenine uptake gating strategy), 3B (filipin staining gating strategy), 3 C (purified B cell gating strategy).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig4-figsupp3-data1-v1.zip
Figure 5 with 2 supplements
LPS + IL-4 stimulation upregulates cholesterol metabolism in B cells.

(A–E) Analysis of the genes involved in cholesterol metabolism in the proteomic dataset. (A) Heat map of all the enzymes involved in cholesterol biosynthesis. Cellular concentration (nM) of (B) HMGCR, (C) SQLE, (D) LDLR, and (E) SREBP2. Adjusted p values from the FDR calculations applied to the proteomic dataset, where p(adj)<0.01 is indicated by **. (F) Splenocytes from C57BL6/J mice were plated in cholesterol-free (CF) media and stimulated with LPS (20 μg/ml) and IL-4 (10 ng/ml). The cells were fixed at the stated time points and stained with filipin. The gating strategy for filipin staining in Figure 4—figure supplement 3B. (F) Filipin time course. Data shows three technical replicates from cells isolated from one mouse. Statistical power was determined by one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis. For comparisons to naive B cells, p<0.05 is indicated by * and p<0.0001 by ****. ns indicated by p>0.05. (G–H) Splenocytes from C57BL6/J mice were plated in cholesterol-free media and pre-treated with DMSO as a vehicle control or varying concentrations of Fluvastatin or NB-598 for 45 min before stimulation with LPS (20 μg/ml) and IL-4 (10 ng/ml). The cells were fixed after 24 hr and stained with filipin before acquisition. (G) Filipin staining of Fluvastatin titration. (H) Filipin staining of NB-598 titration. Data shows three technical replicates from cells isolated from one mouse and is representative of two independent experiments, each with one biological replicate. Statistical power was determined using a one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis. For comparison to LPS + IL-4 stimulated B cells, p<0.001 is indicated by *** and p<0.0001 by ****. (I) Splenocytes from C57BL6/J mice were plated in normal or cholesterol-free (CF) media and pre-treated with DMSO as a vehicle control, Fluvastatin (10 μM) or NB-598 (10 μM) before stimulation with LPS +IL-4. The cells were fixed after 24 hr and stained with filipin before acquisition. Data shows the results of three biological replicates. Statistical power was determined using two-way ANOVA followed by multiple comparison testing via Tukey’s analysis. For comparisons to the LPS + IL-4 condition, p<0.0001 is indicated by ****.

Figure 5—source data 1

Raw FACS files for Figure 5F (filipin staining timecourse), 5 G (filipin staining – Fluvastatin titration).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig5-data1-v1.zip
Figure 5—source data 2

Raw FACS files for Figure 5H (filipin staining – NB-598 titration), 5I (filipin staining – Fluvastatin/NB-598 treatment (normal/CF)).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig5-data2-v1.zip
Figure 5—figure supplement 1
Terpenoid and cholesterol biosynthetic pathway.

Schematic depicting the terpenoid and cholesterol biosynthetic pathways.

Figure 5—figure supplement 2
Blocking rate-limiting enzymes in the cholesterol biosynthesis pathway reduces B cell growth, survival, and proliferation.

(A–I) B cells were purified from the spleens of C57BL6/J mice and cultured in normal media. The cells were stained with CTV and pre-treated with DMSO as a vehicle control or varying concentrations of Fluvastatin, NB-598 or Rosuvastatin for 45 min before stimulation with LPS (20 μg/ml) and IL-4 (10 ng/ml) for 24 hr. For all panels, cells in the absence of LPS + IL-4 were naive B cells analysed on the day of isolation. (A–C) relates to the data in Figure 5G and shows the (A) percentage of live (7AAD-ve) B cells, (B) forward scatter of B cells and (C) representative histograms for CTV staining for Fluvastatin treatment. (D–F) relates to the data in Figure 5H and shows the (D) percentage of live (7AAD-ve) B cells, (E) forward scatter of B cells, and (F) representative histograms for CTV staining for NB-598 treatment. (G–I) Graphs show the (G) percentage of live (7AAD-ve) B cells, (H) forward scatter of B cells, and (I) representative histograms for CTV staining for Rosuvastatin treatment. (J) Splenocytes from C57BL6/J mice were plated in cholesterol-free (CF) media and pre-treated with DMSO as a vehicle control or varying concentrations of Rosuvastatin for 45 min before stimulation with LPS (20 μg/ml) and IL-4 (10 ng/ml). The cells were fixed after 24 hr and stained with filipin. (J) Filipin staining of Rosuvastatin titration. Graphs show three technical replicates from cells isolated from one mouse and are representative of three independent experiments. Statistical power was determined using one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis, where p<0.05 is indicated by *, p<0.01 by **, p<0.001 by ***, and p<0.0001 by **** for comparison to the LPS + IL-4 condition. ns indicated by p>0.05.

Figure 5—figure supplement 2—source data 1

Raw FACS files for Figure 5—figure supplement 2A–C (Fluvastatin titration – 24 hr LPS + IL-4 stimulation), 2D-F (NB-598 titration – 24 hr LPS + IL-4 stimulation).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig5-figsupp2-data1-v1.zip
Figure 5—figure supplement 2—source data 2

Raw FACS files for Figure 5—figure supplement 2G–I (Rosuvastatin titration – 24 hr LPS + IL-4 stimulation), 2 J (filipin staining – Rosuvastatin titration).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig5-figsupp2-data2-v1.zip
Figure 6 with 1 supplement
Blocking rate-limiting enzymes in the cholesterol biosynthesis pathway reduces B cell growth, survival, and proliferation.

(A–D) B cells were purified from the spleens of C57BL6/J mice and cultured in normal or cholesterol-free (CF) media. The cells were stained with CTV, then pre-treated with DMSO as a vehicle control, Fluvastatin (10 µM), or NB-598 (10 µM), where indicated, for 45 min prior to stimulation with LPS (20 μg/ml) and IL-4 (10 μg/ml) for 48 hr. Gating strategy for CTV staining is shown in Figure 4—figure supplement 3C. (A) shows representative CTV staining, (B) live B cell number, (C) percentage of live B cells (7AAD-ve), and (D) forward scatter. Data shows the results of three biological replicates. (E–H) Same as (A–D) but with pretreatment using FGTI-2734 (10 µM). (E) shows representative CTV staining, (F) live B cell number, (G) percentage of live B cells (7AAD-ve), and (H) forward scatter of B cells. Data shows the results of three biological replicates. (I–P) Same as (A–D) but with pretreatment using FTI-277 or GGTI-298 (10 µM-30 µM). (I) shows representative CTV staining in normal media, (J) live B cell number, (K) percentage of live B cells (7AAD-ve), and (L) forward scatter of B cells. (M) shows representative CTV staining in CF media, (N) live B cell number, (O) percentage of live B cells (7AAD-ve), and (P) forward scatter of B cells. Data shows the results of three biological replicates. (B–D) (F–H) Statistical power was determined using two-way ANOVA followed by multiple comparison testing via Tukey’s analysis. For comparisons to the LPS + IL-4 condition, p<0.05 is indicated by *, p<0.01 by **, p<0.001 by *** and p<0.0001 by ****. ns indicated by p>0.05. (J–L) (N–P) Statistical power was determined using one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis. For comparisons to the LPS + IL-4 condition, p<0.01 is indicated by **, p<0.001 by *** and p<0.0001 by ****. ns indicated by p>0.05. For all panels, cells in the absence of LPS + IL-4 were naive B cells analysed on the day of isolation.

Figure 6—source data 1

Raw FACS files for Figure 6A–D (proliferation – Fluvastatin/NB-598 treatment [normal/CF]), 6E-H (proliferation – FGTI-2734 treatment [normal/CF]).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig6-data1-v1.zip
Figure 6—source data 2

Raw FACS files for Figure 6I–L (GGTI-298 treatment [normal/CF]), 6 M-P (proliferation – FTI-277 [normal/CF]).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig6-data2-v1.zip
Figure 6—figure supplement 1
Blocking cholesterol biosynthesis or uptake upregulates proteins involved in cholesterol metabolism in B cells.

B cells were purified from the spleens of C57BL6/J mice and cultured in normal or cholesterol-free (CF) media. The cells were then pre-treated with DMSO as a vehicle control or Fluvastatin (10 µM), where indicated, for 45 min prior to stimulation with LPS (20 μg/ml) and IL-4 (10 μg/ml) for 24 hr. Alternatively, naive B cells were lysed directly. Cells were lysed and analysed by proteomics as described in the methods. Samples from four mice for each condition were generated. (A) Volcano plot showing the estimated cellular protein concentration (μM) of LPS + IL-4 stimulated B cells cultured in normal or CF media. (B) Volcano plot showing the estimated cellular protein concentration (μM) of LPS + IL-4 stimulated B cells cultured in normal media +/- Fluvastatin. (C) Volcano plot showing the estimated cellular protein concentration (μM) of LPS + IL-4 stimulated B cells cultured in normal media or CF media + Fluvastatin. Horizontal dashed lines indicate q<0.01. Vertical dashed lines indicate log2 fold change of one standard deviation away from the median. Heat map showing the expression of proteins significantly (D) upregulated or (E) downregulated derived from the proteomic data. (F) Heatmap of all the enzymes involved in cholesterol biosynthesis. (G–I) Graphs depicting changes in cellular concentration (nM) of (G) HMGCR, (H) SQLE, and (I) LDLR. Statistical power was determined using a one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis. For comparison to the LPS + IL-4 condition, where p<0.01 is indicated by **, p<0.001 by ***, p<0.0001 by ****.

Figure 7 with 1 supplement
Mevalonate supplementation rescues the effect of Fluvastatin treatment in B cells.

(A–B) Splenocytes from C57BL6/J mice were plated in normal or cholesterol-free (CF) media and pre-treated with HEPES as a vehicle control or mevalonate (2 mM) for 1 hr prior to treatment with DMSO or Fluvastatin (10 µM), where indicated, for 45 min before stimulation with LPS (20 μg/ml) and IL-4 (10 ng/ml). The cells were fixed after 24 hr or 48 hr of LPS + IL-4 stimulation and stained with filipin. (A) Filipin staining comparing B cells +/- Fluvastatin or mevalonate after 24 or 48 hr of LPS + IL-4 stimulation in normal media. (B) Filipin staining comparing B cells +/-Fluvastatin or mevalonate after 24 or 48 hr of LPS + IL-4 stimulation in CF media. Data shows the results of three biological replicates. (C–F) B cells were purified from the spleens of C57BL6/J mice and cultured in normal or cholesterol-free (CF) media. The cells were stained with CTV, then pre-treated with HEPES as a vehicle control or mevalonate (2 mM) for 1 hr. The cells were treated with DMSO or Fluvastatin (10 µM), where indicated, for 45 min prior to stimulation with LPS (20 μg/ml) and IL-4 (10 μg/ml) for 48 hr. (C) Shows percentage of live B cells (7AAD-ve), (D) forward scatter of B cells, (E) representative CTV staining, and (F) live B cell number. Data shows the results of three biological replicates. Where shown, statistical power was determined using two-way ANOVA followed by multiple comparison testing via Sidak’s analysis. For comparison to Fluvastatin-treated B cells, p<0.05 is indicated by *, p<0.01 by **, p<0.001 by ***, p<0.0001 by ****. ns by >0.05. For all panels, cells in the absence of LPS + IL-4 were naive B cells analysed on the day of isolation.

Figure 7—source data 1

Raw FACS files for Figure 7A (filipin staining – mevalonate supplementation [normal]), 7B (filipin staining - mevalonate supplementation [CF]).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig7-data1-v1.zip
Figure 7—source data 2

Raw FACS files for Figure 7C–F (proliferation – mevalonate supplementation [normal/CF]).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig7-data2-v1.zip
Figure 7—figure supplement 1
High levels of exogenous mevalonate are toxic to B cells.

Splenocytes from C57BL6/J mice were plated in normal media and pre-treated with HEPES as a vehicle control or mevalonate at the stated concentrations for 1 hr prior to LPS (20 μg/ml) and IL-4 (10 ng/ml) stimulation. The cells were cultured for 24 hr, then fixed and stained with filipin prior to acquisition. Gating strategy described in Figure 4—figure supplement 3B. (A) Filipin staining. (B) Percentage of live B cells (L/D-ve). The graph shows three technical replicates from cells isolated from one mouse and is representative of two independent experiments. Statistical power for was determined using one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis, where p<0.0001 is indicated by ****.

GGPP supplementation rescues the effect of Fluvastatin treatment in B cells.

(A–H) B cells were purified from the spleens of C57BL6/J mice and cultured in normal or cholesterol-free (CF) media. The cells were stained with CTV, pre-treated with methanol:ammonium hydroxide solution (CH3OH:NH4OH) as a vehicle control, mevalonate (2 mM), or geranylgeranyl pyrophosphate (GGPP; 10 μM) for 1 hr before treatment with Fluvastatin (10 μM), where indicated. The cells were stimulated with LPS (20 μg/ml) and IL-4 (10 μg/ml) and cultured for 48 hr. (A) shows representative CTV staining for B cells cultured in normal media, (B) live B cell number, (C) percentage of live B cells, and (D) forward scatter of B cells. (E) shows representative CTV staining for B cells cultured in CF media, (F) live B cell number, (G) percentage of live B cells, and (H) forward scatter of B cells. Data shows the results of three biological replicates. Statistical power was determined using one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis. For comparison to Fluvastatin treated B cells, p<0.001 is indicated by *** and p<0.0001 by ****. ns indicated p>0.05. For (B) and (F), this data was log-transformed and then statistically analysed due to unequal variance. (I–J) Splenocytes were plated in normal or cholesterol-free (CF) media and pre-treated with methanol:ammonium hydroxide solution (CH3OH:NH4OH) as a vehicle control or geranylgeranyl pyrophosphate (GGPP; 10 μM), where indicated, for 1 hr before treatment with DMSO or Fluvastatin (10 μM). The cells were then stimulated with LPS (20 μg/ml) and IL-4 (10 ng/ml). The cells were fixed after 24 hr and stained with filipin before acquisition. (I) Filipin staining comparing B cells +/- Fluvastatin or GGPP after 24 or 48 hr of LPS + IL-4 stimulation in normal media. (J) Filipin staining comparing B cells +/-Fluvastatin or GGPP after 24 or 48 hr of LPS + IL-4 stimulation in CF media. Data shows the results of three biological replicates. Statistical power was determined using two-way ANOVA followed by multiple comparison testing via Sidak’s analysis. For comparison to Fluvastatin-treated B cells, p<0.01 is indicated by **, p<0.001 by ***, and p<0.0001 by ****. ns indicated p>0.05. For all panels, cells in the absence of LPS + IL-4 were naive B cells analysed on the day of isolation.

Figure 8—source data 1

Raw FACS files for Figure 8A–D (proliferation – GGPP supplementation [normal]), 8E-H (proliferation – GGPP supplementation [CF]).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig8-data1-v1.zip
Figure 8—source data 2

Raw FACS files for Figure 8I (filipin staining – GGPP supplementation [normal]), 8 J (filipin staining – GGPP supplementation [CF]).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig8-data2-v1.zip
Figure 9 with 2 supplements
MAPK and mTOR signalling regulate B cell proliferation and cholesterol levels.

(A–E) B cells were purified from the spleens of C57BL6/J mice and stained with CTV, then pre-treated with DMSO as a vehicle control, PD18352 (2 μM), VX745 (1 μM), or Rapamycin (20 nM), where indicated, for 45 min prior to stimulation with LPS (20 μg/ml) and IL-4 (10 μg/ml) for 48 hr. (A) shows representative CTV staining, (B) percentage of B cells per generation quantified from (A), (C) live B cell number (D) percentage of live B cells (7AAD-ve), and (E) forward scatter. Data shows three technical replicates from cells isolated from one mouse and is representative of three independent experiments. Statistical power for (B) was determined using two-way ANOVA followed by multiple comparison testing via Sidak’s analysis. For comparison to LPS + IL-4 stimulated B cells, p<0.0001 by **** and ns by >0.05. (F) Splenocytes from C57BL6/J mice were pre-treated with DMSO as a vehicle control, PD18352 (2 μM), VX745 (1 μM), or Rapamycin (20 nM), where indicated, for 45 min prior to stimulation with LPS (20 μg/ml) and IL-4 (10 μg/ml). The cells were fixed after 24 hr and stained with filipin before acquisition. (F) Filipin staining after inhibitor treatment. Data shows three technical replicates from cells isolated from one mouse and is representative of three independent experiments. Statistical power for (C-F) was determined by one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis, where p<0.05 is indicated by *, p<0.01 by **, p<0.001 by ***, p<0.0001 by **** and ns by >0.05. For all panels, cells in the absence of LPS + IL-4 were naive B cells analysed on the day of isolation.

Figure 9—source data 1

Raw FACS files for Figure 9A–E (proliferation – PD184352, VX745, Rapamycin), 9 F (filipin staining - PD184352, VX745, Rapamycin).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig9-data1-v1.zip
Figure 9—figure supplement 1
MyD88 is required for signalling through TLR4.

B cells were purified from the spleens of WT and MyD88-/- (MyD88 KO) mice, then stimulated with LPS (20 μg/ml). The cells were lysed after 30 min. Western blotting was used to probe samples with the appropriate antibody (Table 4).

Figure 9—figure supplement 1—source data 1

PDF files containing labelled and uncropped images for western blots displayed in Figure 9—figure supplement 1.

https://cdn.elifesciences.org/articles/109093/elife-109093-fig9-figsupp1-data1-v1.zip
Figure 9—figure supplement 1—source data 2

Original files for western blot images displayed in Figure 9—figure supplement 1.

https://cdn.elifesciences.org/articles/109093/elife-109093-fig9-figsupp1-data2-v1.zip
Figure 9—figure supplement 2
Inhibition of mTOR impacts B cell function.

(A) Splenocytes from C57BL6/J mice were pre-treated with DMSO as a vehicle control or rapamycin (20 nM), where indicated, for 45 min. The cells were stimulated with LPS (20 μg/ml) and IL-4 (10 μg/ml) for 24 hr before fixing and staining for the uptake of puromycin analogue O-propargyl-puromycin (OPP) to measure protein synthesis. Gating strategy for OPP staining is shown in Figure 1—figure supplement 4D. (A) OPP uptake after rapamycin treatment. Data shows the results of three biological replicates. (B) B cells were purified from the spleens of C57BL6/J mice, then pre-treated with DMSO as a vehicle control or rapamycin (20 nM), where indicated, for 45 min. The cells were stimulated with LPS (20 μg/ml) and IL-4 (10 μg/ml) for 24 hr before fixing and staining for the uptake of kynurenine to measure amino acid uptake. Gating strategy for kynurenine uptake in Figure 4—figure supplement 3A. (B) Kynurenine uptake after rapamycin treatment. Data shows the results of three biological replicates. Statistical power was determined by one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis, where p<0.05 is indicated by *, p<0.001 by *** and p<0.0001 by ****.

Figure 9—figure supplement 2—source data 1

Raw FACS files for Figure 9—figure supplement 2A (OPP uptake – rapamycin), 2B (kynurenine uptake – rapamycin).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig9-figsupp2-data1-v1.zip
Figure 10 with 1 supplement
Cholesterol is required for the growth and proliferation of B cells by multiple stimuli.

(A) Splenocytes from C57BL6/J mice were plated in normal or cholesterol-free (CF) media, before stimulation with LPS (20 μg/ml), IL-4 (10 μg/ml), or a combination of LPS and IL-4. The cells were fixed after 24 hr and stained with filipin. (A) Filipin staining comparing cholesterol content between different stimuli. Data shows the results of three biological replicates. Statistical power was determined using two-way ANOVA followed by multiple comparison testing via Tukey’s analysis. For comparisons to naive B cells, p<0.0001 is indicated by ****. (B) Splenocytes from C57BL6/J mice were plated in normal media before stimulation with LPS (20 μg/ml), Resiquimod (1 μg/ml), ODN 1826 (1 μg/ml), anti-IgM (10 μg/ml), or CD40L (500 ng/ml). The cells were fixed after 24 hr and stained with filipin. (B) Filipin staining comparing cholesterol content between different stimuli. Data shows the results of three biological replicates. Statistical power was determined using one-way ANOVA followed by multiple comparison testing via Dunnett’s analysis. For comparisons to naive B cells, p<0.0001 is indicated by ****. (C–E) B cells were purified from the spleens of C57BL6/J mice and cultured in normal media. The cells were stained with CTV, then pre-treated with DMSO as a vehicle control or Fluvastatin (10 µM) for 45 min before stimulation with LPS (20 μg/ml), Resiquimod (1 μg/ml), ODN 1826 (1 μg/ml), anti-IgM (10 μg/ml), or CD40L (500 ng/ml) as indicated for 72 hr. (C) shows the percentage of live B cells (7AAD-ve), (D) representative histogram for CTV staining, and (E) live B cell number. Data shows the results of three biological replicates. Statistical power was determined using two-way ANOVA followed by multiple comparison testing via Tukey’s analysis, where p<0.0001 is indicated by ****. For (E), this data was log-transformed and then statistically analysed due to unequal variance. Statistical power was determined using two-way ANOVA followed by multiple comparison testing via Sidak’s analysis, where p<0.0001 is indicated by ****.

Figure 10—source data 1

Raw FACS files for Figure 10A (filipin staining – IL-4, LPS, LPS +IL-4 [normal/CF]), 10B (filipin staining – all agonists).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig10-data1-v1.zip
Figure 10—source data 2

Raw FACS files for Figure 10C–D (proliferation – all agonists).

https://cdn.elifesciences.org/articles/109093/elife-109093-fig10-data2-v1.zip
Figure 10—figure supplement 1
IL-4, anti-IgM, and anti-CD40 stimulation upregulate proteins involved in cholesterol metabolism in B cells.

Proteomic data comparing protein concentration (nM) between naive, IL-4, anti-IgM, or anti-CD40 stimulated B cells for 40 hr from wild-type C57BL/6 mice derived from James et al., 2026. (A–D) Graphs depicting changes in cellular concentration (nM) of (A) HMGCR, (B) SQLE, (C) LDLR, and (D) SREBP2.

Tables

Table 1
MACS antibodies.
AntibodyCloneConcentrationCatalogue numberSupplier
Anti-CD11bM1/7010 µg/ml101204BioLegend
Anti-CD11cN41810 µg/ml117304BioLegend
Anti-CD3ε145–2 C1110 µg/ml100304BioLegend
Anti-TER119TER-11910 µg/ml116204BioLegend
Table 2
Inhibitors.
NameTargetConcentrationCatalogue numberSupplier
2-Aminobicyclo-(2,2,1)-heptane-2-carboxylic acid (BCH) LAT110 mMA7902-1G Sigma
Fluvastatin sodiumHMG-CoA reductase0.1 µM –100 µM3309Tocris
Rosuvastatin calciumHMG-CoA reductase0.1 µM –100 µM6343Tocris
NB-598Squalene monooxygenase0.1 µM –100 µMHY-16343MedChem Express
FGTI-2734Farnesyl and geranylgeranyl transferase-110 µMHY-128350MedChem Express
FTI-277 hydrochlorideFarnesyl transferase10 µM-30µMHY-15872AMedChem Express
GGTI-289 trifluoroacetateGeranylgeranyl transferase-110 µM-30µMHY-15871MedChem Express
PD18352MSK1/22 µM4237Tocris
VX745P381 µM3915Tocris
RapamycinmTOR20 nMR8781Merck
Table 3
Flow cytometry antibodies.
AntibodyFluorophoreCloneDilutionCatalogue numberSupplier
Anti-CD19APC6D51:300115512Biolegend
Anti-CD19PE1D31:200557399BD Biosciences
Anti-CD19FITC1D31:200152403BioLegend
Anti-CD93APCAA4.11:200136510BioLegend
Anti-CD98PERL3881:200128208BioLegend
dsDNAeFluor 660-1:100065-0864-14eBioscience
Anti-IgG1FITCA85-11:200553443BD Biosciences
Anti-pRbFITCD20B121:3004277 SCell Signaling Technology
Table 4
Western blot primary antibodies.
Antibody targetAnimal raised inDilutionCodeSource
Phospho-STAT1 (Tyr701)Rabbit1:10009167Cell Signalling Technology
Phospho-p44/42 MAPK (Erk1/2) (Thr202/Tyr204)Rabbit1:10009101Cell Signalling Technology
p44/42 MAPK (Erk1/2)Rabbit1:10009102Cell Signalling Technology
Phospho-p38 MAPK (Thr180/Tyr182)Rabbit1:10004511Cell Signalling Technology
p38 MAPKRabbit1:10009212Cell Signalling Technology
Phospho-Akt (Ser473)Rabbit1:10004060Cell Signalling Technology
Phospho-p70 S6 Kinase (Thr389)Rabbit1:10009234Cell Signalling Technology
Phospho-S6 Ribosomal Protein (Ser235/236)Rabbit1:10002211Cell Signalling Technology
S6 Ribosomal Protein (5G10)Rabbit1:10002217Cell Signalling Technology
Appendix 1—key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Genetic reagent (Mus musculus)C57BL/6J (WT)Charles River UK
Genetic reagent (Mus musculus)Slc7a5fl/fl/Tg(Vav1-iCre)+/-Poncet et al., 2014
Genetic reagent (Mus musculus)MyD88−/−Adachi et al., 1998
Biological sample, Escherichia coli O26:B6LipopolysaccharideSigma AldrichCatalogue number: L2654Concentration: 20 µg/ml
Biological sample, Streptomyces filipinensisFilipinMerckCatalogue number: F9765Concentration: 1 µg/µl
AntibodyAnti-mouse/human CD11b (Rat, monoclonal, M1/70)BioLegendCatalogue number: 101204
RRID:AB_312787
Concentration: 10 µg/ml
AntibodyAnti-mouse CD11c (Armenian hamster, monoclonal, N418)BioLegendCatalogue number: 117304
RRID:AB_313773
Concentration: 10 µg/ml
AntibodyAnti-mouse CD3ε (Armenian hamster, monoclonal, 145–2 C11)BioLegendCatalogue number: 100304
RRID:AB_312669
Concentration: 10 µg/ml
AntibodyAnti-mouse TER119 (Rat, monoclonal, TER-119)BioLegendCatalogue number: 116204
RRID:AB_313705
Concentration: 10 µg/ml
AntibodyAnti-mouse CD19 (Rat, monoclonal, 6D5)BioLegendCatalogue number: 115512
RRID:AB_313647
Fluorophore: APC
Cell surface stain dilution: (1:300)
AntibodyAnti-mouse CD19 (Rat, monoclonal, 1D3)BD BiosciencesCatalogue number: 557399
RRID:AB_396682
Fluorophore: PE
Cell surface stain dilution: (1:200)
AntibodyAnti-mouse CD19 (Rat, monoclonal, 1D3)BioLegendCatalogue number: 152403
RRID:AB_2629812
Fluorophore: FITC
Cell surface stain dilution: (1:200)
AntibodyAnti-mouse CD93 (Rat, monoclonal, AA4.1)BioLegendCatalogue number: 136510
RRID:AB_2275868
Fluorophore: APC
Cell surface stain dilution: (1:200)
AntibodyAnti-mouse CD98 (Rat, monoclonal, RL388)BioLegendCatalogue number: 128208
RRID:AB_2190813
Fluorophore: PE
Cell surface stain dilution: (1:200)
AntibodyAnti-mouse IgG1 (Rat, monoclonal, A85-1)BD BiosciencesCatalogue number: 553443
RRID:AB_394862
Fluorophore: FITC
Cell surface stain dilution: (1:200)
AntibodyPhospho-Rb (Ser807/811) (Rabbit, monoclonal, D20B12)Cell Signalling Technology Catalogue number: 4277
RRID:AB_2797605
Fluorophore: Alexa Fluor 488
Intracellular stain dilution: (1:300)
AntibodyAnti-rabbit IgG (H+L), F(ab')2 Fragment (Goat, unknown clonality)Cell Signalling TechnologyCatalogue number: 4414
RRID:AB_10693544
Fluorophore: Alexa Fluor 647 Conjugate
Dilution: (1:1000)
AntibodyPhospho-STAT1 (Tyr701) (Rabbit, monoclonal, 58D6)Cell Signalling TechnologyCatalogue number: 9167
RRID:AB_561284
Intracellular stain dilution: (1:1000)
AntibodyPhospho-p44/42 MAPK (Erk1/2) (Thr202/Tyr204) (Rabbit, polyclonal)Cell Signalling TechnologyCatalogue number: 9101
RRID:AB_331646
Western blot dilution:
(1:1000)
Antibodyp44/42 MAPK (Erk1/2) (Rabbit, polyclonal)Cell Signalling TechnologyCatalogue number: 9102
RRID:AB_330744
Western blot dilution:
(1:1000)
AntibodyPhospho-p38 MAPK (Thr180/Tyr182) (Rabbit, monoclonal, D3F9)Cell Signalling TechnologyCatalogue number: 4511
RRID:AB_2139682
Western blot dilution:
(1:1000)
Antibodyp38 MAPK (Rabbit, polyclonal)Cell Signalling TechnologyCatalogue number: 9212
RRID:AB_330713
Western blot dilution:
(1:1000)
AntibodyPhospho-Akt (Ser473) (Rabbit, monoclonal, D9E)Cell Signalling TechnologyCatalogue number: 4060
RRID:AB_2315049
Western blot dilution:
(1:1000)
AntibodyPhospho-p70 S6 Kinase (Thr389) (Rabbit, monoclonal, 108D2)Cell Signalling TechnologyCatalogue number: 9234
RRID:AB_2269803
Western blot dilution:
(1:1000)
AntibodyPhospho-S6 Ribosomal Protein (Ser235/236) (Rabbit, polyclonal)Cell Signalling TechnologyCatalogue number: 2211
RRID:AB_331679
Western blot dilution:
(1:1000)
AntibodyS6 Ribosomal Protein (Rabbit, monoclonal, 5G10)Cell Signalling TechnologyCatalogue number: 2217
RRID:AB_331355
Western blot dilution:
(1:1000)
AntibodyAnti-Mouse IgM μ chain (Goat, polyclonal)StratechCatalogue number: 115-006-075
RRID:AB_2338474
Concentration: 10 µg/ml
Peptide, recombinant proteinIL-4PeprotechCatalogue number: 214–14Concentration: 10 ng/ml
Peptide, recombinant proteinResiquimod/R848InvivogenCatalogue number: tlrl-r848Concentration:1 µg/ml
Peptide, recombinant proteinBléry et al., 2006InvivogenCatalogue number: tlrl-2006Concentration:1 µg/ml
Peptide, recombinant proteinCD40 ligandR&DCatalogue number: 8230 CL-050/CFConcentration: 500 ng/ml
Chemical compound, drugO-propargyl-puromycinJena BioscienceCatalogue number: NU-931–5Concentration: 20 μM
Chemical compound, drugSaponinSigma AldrichCatalogue number: SAE0073Concentration: 0.01%
Chemical compound, drugCopper sulphateSigma AldrichCatalogue number: 209198Concentration: 1 mM
Chemical compound, drugSodium ascorbateSigma AldrichCatalogue number: A7631Concentration: 10 mM
Chemical compound, drugBTTAASigma AldrichCatalogue number: 906328Concentration: 1 mM
Chemical compound, drugAminoguanidineCayman ChemicalsCatalogue number: 81530Concentration: 10 mM
Chemical compound, drugAlexafluor 647 azideInvitrogenCatalogue number: A10277Concentration: 5 µM
Chemical compound, drugL-KynurenineSigma AldrichCatalogue number: K8625Concentration: 200 μM
Chemical compound, drug2-Amino-2-norbornanecarboxylic acid (BCH)Sigma AldrichCatalogue number: A7902-1GConcentration: 10 mM
Chemical compound, drugMevalonic acid 5-phosphate lithium salt hydrateSigma AldrichCatalogue number: 79849Concentration: 1 mM-2mM
Chemical compound, drugGeranylgeranyl pyrophosphate ammonium saltSigma AldrichCatalogue number: G6025Concentration: 10 µM
Chemical compound, drugFluvastatin sodiumTocrisCatalogue number: 3309Concentration: 0.1–100 µM
Chemical compound, drugRosuvastatin calciumTocrisCatalogue number: 6343Concentration: 0.1–100 µM
Chemical compound, drugNB-598MedChem ExpressCatalogue number: HY-16343Concentration: 0.1–100 µM
Chemical compound, drugFGTI-2734MedChem ExpressCatalogue number: HY-128350Concentration: 10 µM
Chemical compound, drugFTI-277 hydrochlorideMedChem ExpressCatalogue number: HY-15872AConcentration: 10–30 µM
Chemical compound, drugGGTI-289 trifluoroacetateMedChem ExpressCatalogue number: HY-15871Concentration: 10–30 µM
Chemical compound, drugPD18352TocrisCatalogue number: 4237Concentration: 2 µM
Chemical compound, drugVX745TocrisCatalogue number: 3915Concentration: 1 µM
Chemical compound, drugRapamycinMerckCatalogue number: R8781Concentration: 20 nM
Commercial assay, kitCellTrace Violet Cell Proliferation KitInvitrogenCatalogue number: C34557Concentration: 2.5 µM
Commercial assay, kitMitoTracker Red FMInvitrogenCatalogue number: M22425Concentration: 100 nM
Software, algorithmFlowJo softwareBD Biosciences, developed by TreestarRRID:SCR_008520Version 10.10.0 and above
Software, algorithmPerseushttps://www.maxquant.org/perseus, PMID:27348712RRID:SCR_015753Version 1.6.6.0
Software, algorithmSpectronautBiognosysVersion 19
Software, algorithmPrismGraphPadRRID:SCR_002798Version 9 or 10
OtherStreptavidin MicrobeadsMiltenyi BiotechCatalogue number: 130-042-901Dilution: (1:10)

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  1. Dana MS Cheung
  2. Momchil Razsolkov
  3. Fabrizia Bonacina
  4. Stephen Andrews
  5. Megan C Sumoreeah
  6. Linda V Sinclair
  7. Andrew JM Howden
  8. J Simon C Arthur
(2026)
Lipopolysaccharide stimulates dynamic changes in B cell metabolism to promote proliferation
eLife 14:RP109093.
https://doi.org/10.7554/eLife.109093.3