Quantitative analyses reveal extracellular dynamics of Wnt ligands in Xenopus embryos

  1. Yusuke Mii  Is a corresponding author
  2. Kenichi Nakazato
  3. Chan-Gi Pack
  4. Takafumi Ikeda
  5. Yasushi Sako
  6. Atsushi Mochizuki
  7. Masanori Taira  Is a corresponding author
  8. Shinji Takada  Is a corresponding author
  1. National Institute for Basic Biology and Exploratory Research Center on Life and Living Systems (ExCELLS), National Institutes of Natural Sciences, Japan
  2. The Graduate University for Advanced Studies (SOKENDAI), Japan
  3. Japan Science and Technology Agency (JST), PRESTO, Japan
  4. Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Japan
  5. Theoretical Biology Laboratory, RIKEN, Japan
  6. Cellular Informatics Laboratory, RIKEN, Japan
  7. ASAN Institute for Life Sciences, ASAN Medical Center, University of Ulsan College of Medicine, Republic of Korea
  8. Laboratory of Mathematical Biology, Institute for Frontier Life and Medical Sciences, Kyoto University, Japan
  9. Department of Biological Sciences, Faculty of Science and Engineering, Chuo University, Japan
5 figures, 3 videos, 1 table and 9 additional files

Figures

Figure 1 with 2 supplements
Extracellular distributions of Wnt8, Frzb, and artificial secreted proteins.

All images presented were acquired using live-imaging with the photon counting method, which enables saturation-free imaging even with samples having a wide dynamic range. (A) Distribution of secreted proteins in the superficial layer of a living Xenopus gastrula (st. 10.5–11.5). Observed focal planes were at the subapical level, as illustrated. mRNAs for indicated mVenus (mV) fusion proteins were microinjected into a single ventral blastomere of four- or eight-cell stage embryos to observe regions adjacent to the source cells (indicated with asterisks). All images were acquired in the same condition with photon counting detection. Look-up tables (LUT) show the range of the photon counts in the images. (B) Intensity plots for mV-Wnt8 and mV-Frzb in the intercellular space. Plots along the arrows in enlarged pictures in (A) are shown. (C) Distribution of artificial secreted proteins in Xenopus embryos. The data of sec-mV is the same as in (A). sec-mV was not apparent in the intercellular space, whereas sec-mV-HB2 and sec-mV-HB4 were distributed in the intercellular space (arrowheads). SP, signal peptide; HB, heparin binding peptide. (D) Quantification of fluorescent intensities in the intercellular space. Photon counts per pixel are presented. All samples show statistically significant differences (p<2e-16, pairwise comparisons using the Wilcoxon rank sum test adjusted for multiple comparison with Holm’s method). Scale bars, 20 μm. Amounts of injected mRNAs (ng/embryo): mV-wnt8, mV-frzb, sp-mV, sp-mV-hb2, or sp-mV-hb4, 0.25.

Figure 1—figure supplement 1
Endogenous-equivalent dose of mV-wnt8 and biological activity of mV-Wnt8 and mV-Frzb.

(A) Estimation of an endogenous-equivalent dose of mV-wnt8 mRNA injected into the animal cap region. Mean fluorescent intensities of anti-Wnt8 staining from 75 cell boundaries in five (VMZ) or six (others) embryos (st. 11) were plotted. Cell boundaries within three cell diameters from source cells were analyzed. The ventral marginal zone (VMZ) is just over the ventral mesoderm expressing wnt8, thus highest for Wnt8 distribution. Twenty pg of mV-wnt8 mRNA injected into the animal cap region showed similar staining intensities to that of endogenous Wnt8 staining in the VMZ. Statistical significance (p, red when significant) was analyzed with pairwise comparisons using the Wilcoxon rank sum test adjusted for multiple comparison with Holm’s method. Scale bars, 20 μm. (B, C) TOP-FLASH reporter assay. Reporter DNA was injected into the animal pole region of a ventral blastomere of four- or eight-cell stage Xenopus embryos with or without mRNAs, as indicated, and injected embryos were harvested at st. 11.5. Six pools of three embryos for each sample were analyzed. Statistical significance (p) was calculated by pairwise comparisons using the Wilcoxon rank sum test adjusted for multiple comparison with Holm’s method and when it was significant, the p value is indicated in red. (B) mV-wnt8 (20 pg) showed significantly higher activities than those of TOP-FLASH only, but significantly lower than those of the wild-type wnt8 (12.8 pg). Activity of mV-Wnt8 ranges from 1/3 to 1/2 of wild-type Wnt8. (C) Endogenous expression levels of Xenopus embryonic mRNAs were published in Session et al., 2016. In this data, wnt8a (L + S) shows 288 transcripts per million (TPM) and frzb (L + S) shows 180 TPM. Thus, we estimated an endogenous-equivalent dose of mV-frzb as 20 pg/embryo. mV-frzb showed similar activities to the wild type Frzb. Amounts of TOP-FLASH DNA, 150 pg/embryo; amounts of mRNA are as indicated (pg/embryo).

Figure 1—figure supplement 2
Imaging of secreted mVenus protein in intercellular space.

All images presented were acquired using live-imaging with photon counting detection. LUT used is as indicated. (A) Photon counting image of an uninjected gastrula. In such a highly enhanced condition, autofluorescence from pigment granules (orange arrowheads) and yolk granules (orange dashed circles) can be observed. However, little fluorescence was observed in the intercellular region (cyan arrows). Original data were the same as in Figure 1A. (B, C) Photon counting image of an sp-mV mRNA-injected gastrula. (B) Data acquisition and processing were done in the same conditions as A. Unlike uninjected embryos, fluorescent signals were detected in the intercellular region (green arrows), indicating existence of secreted mVenus (sec-mV) protein. Original data were the same as in Figure 1A. (C) A faster scan speed resulted in an image of poor quality. The same position as in B was scanned at 400 Hz (the default setting of the Leica SP8 confocal system). In this condition, fluorescence in the intercellular space was hard to recognize. Scale bars, 20 μm. Amounts of injected mRNAs (pg/embryo): sp-mV, 250.

Figure 2 with 1 supplement
Tethered-anti-HA Ab and morphotrap.

(A) Schematic representation of tethered-anti-HA Ab. (B) Results of tethered-anti-HA Ab. The artificial ligand (sec-mV-2HA) was trapped at tethered-anti-HA Ab-expressing cells, distant from the source. The superficial layer of a Xenopus gastrula (st. 11.5) was imaged as a z-stack and its maximum intensity projection (MIP) was presented for the fluorescent images. Intercellular mVenus signal (green) of sec-mV-2HA was not apparent in the vicinity of source cells, but was detected around the tethered-anti-HA Ab-expressing cells (arrowheads) that are traced with memRFP (magenta). (C) Morphotrap at a distant region from the source. The superficial layer of a Xenopus gastrula (st. 11.5) was imaged as a z-stack and its maximum intensity projection (MIP) was presented for the fluorescent images. The intercellular mVenus signal of an artificial ligand, sec-mV (green), was not detected in the vicinity of source cells (green) (left panel), but was detected around the morphotrap-expressing cells that can be traced by mCherry fluorescence (middle panels). Also, mV-Wnt8 and mV-Frzb were trapped and accumulated on distant morphotrap-expressing cells, suggesting the existence of diffusing molecules in the distant region. Source regions are indicated with cyan lines according to memBFP (tracer for mV-tagged proteins, not shown). (D) Distribution of mVenus and morphotrap. Fluorescent intensity of mVenus and mCherry (for morphotrap) was plotted from the left to the right. Scale bars, 100 μm. Amounts of injected mRNAs (ng/embryo) sp-mV-2ha, 1.0; memRFP, 0.15; ig gamma2b-gpi, 1.1; ig kappa, 0.63 (B); sec-mV, mV-wnt8, or mV-frzb (high dose), 0.25; mV-frzb (low dose), 0.063; morphotrap, 1.0; memBFP, 0.1 (C).

Figure 2—figure supplement 1
Generation of functional antibody protein by mRNA-injection into Xenopus embryos.

(A) Summary of cDNA cloning for anti-HA and anti-Myc monoclonal antibodies. (B) Immunoprecipitation assays to examine the specificity of IgG (9E10, anti-Myc; 12CA5, anti-HA) generated from injected mRNAs. Combinations of lysates are indicated by +. (+) indicates addition of the monoclonal antibody as a positive control. IgG generated in Xenopus embryos properly worked, similar to the monoclonal antibody. UI, lysate of uninjected embryos. EGFP-6Myc and EGFP-4HA were expressed by DNA injection (50 ng/embryo). Amounts of injected mRNAs (ng/embryo): heavy chains (B), 1.0; light chains (B), 0.61.

Figure 3 with 3 supplements
Fluorescence correlation spectroscopy (FCS) in the extracellular space of Xenopus embryos.

mRNAs for mV-tagged proteins or sec-mV were injected into the animal pole region of a ventral blastomere of four- or eight-cell stage Xenopus embryo. Injected embryos were observed at gastrula stages (st. 10.5–11.5). Each FCS measurement (10 s) was performed at a point in the intercellular region within three cell diameters of the source cells. (A) Schematic illustration of FCS measurement. In FCS measurements, the fluorescent signal usually fluctuates due to Brownian motion of fluorescent molecules. Such fluctuations contain dynamic properties of fluorescent molecules. Briefly, temporal frequency of the fluctuations corresponds to the diffusion coefficient (D) and amplitude of the fluctuations corresponds inversely to the number of particles in the confocal detection volume (0.3 fl with Leica system; 0.12 fl with Zeiss system). (B) Trace of fluorescent intensities in a single measurement of indicated conditions. mV-Wnt8 shows characteristic peaks, probably corresponding to multimeric forms (asterisks, Takada et al., 2018). (C) Normalized autocorrelation curves of averaged data. Numbers of embryos/measurements are as indicated in (D). Experimental data are plotted with circles with the best fitting curve. (D) Summary of FCS measurements. Mean values are presented. s.d., standard deviation. Indicated numbers of measurements were omitted for averaging (in the table, no data were omitted for C), based on Dfast values over 80 μm2/s (reflecting blinking of mVenus). (E–H) Effect of HS digestion by HepIII-GPI on mV-Wnt8 or sec-mV. Measurements were performed in the same embryos to achieve side-by-side comparison at control regions (HepIII–) or HS-digested regions (HepIII+). (E, G) Unnormalized autocorrelation curves of averaged data (number of embryos: (E) 3, (G) 4; number of measurements: (E) HepIII–, 84 HepIII+, 97; (G) HepIII–, 56 HepIII+, 87). (F) Measured parameters obtained by curve-fitting. Statistical significance (p, indicated in red, when significant) was calculated using the Wilcoxon rank sum test. Numbers of omitted measurements due to unreliable parameters (Dfast values over 80 μm2/s; inadequate Ffast values due to virtually the same Dfast and Dslow values): (F) HepIII–, 24;2 HepIII+, 10;3 (H) HepIII–, 17;1, HepIII+, 21;5. Lyn-mTagBFP2 and/or Lyn-miRFP703 were used to trace source cells, control regions, or HepIII +regions. Fluorescence of these tracers did not interfere with FCS measurements because these can be completely separated from mVenus. Amounts of injected mRNAs (pg/embryo): mV-wnt8, 250 or 20; mV-frzb, 20; sec-mV, 250; sp-hepIII-ha-gpi, 400; lyn-mTagBFP2, 100; lyn-miRFP703, 200.

Figure 3—figure supplement 1
Supplementary data for FCS analysis.

(A) Evaluation of one-component and two-component models using the Akaike Information criterion (AIC). For averaged data, AIC values were indicated. All tested groups were fit better with the two-component model (a smaller value is more preferable). For individual data, numbers of measurements fit better to each model are indicated. (B) Measured parameters obtained by curve-fitting. Bootstrapping was performed to test statistical significance of differences in means of indicated pairs. Numbers indicate times that a difference in bootstrapped is not less than the difference in observed means, out of 10,000 bootstrapping (significant cases are indicated in red). (C, D) Fluorescence cross correlation spectroscopy (FCCS) analysis of sec-mV and a membrane marker (Lyn-miRFP703). Measurements were performed at Lyn-miRFP703-expressing cell boundaries within 2–3 cell diameters from the sec-mV source cells. (B) Trace of a single measurement (10 s). (C) Auto- and cross-correlation curves of averaged data (39 total measurements from three embryos). Little cross-correlation suggests that sec-mV does not have a population interacting with the cell membrane. (E) Schematic view of the extracellular space, which may be packed with many types of membrane proteins, extracellular matrices (ECMs), and HSPGs. In general, surfaces of these molecules are highly hydrophilic, and hydration (cyan) would make excluded volume of these molecules quite large. In such an environment, slow diffusion of a secreted protein could be explained not only by binding but also by ‘hindered diffusion’ (Müller et al., 2013) at a nanometer scale.

Figure 3—figure supplement 2
FCS analysis with another system (Zeiss ConfoCor2).

Injected amount of mRNA of mV-wnt8, mV-frzb, and sec-mV were 250 pg. In these measurements, the effective confocal detection volume was calibrated to 0.12 fl by measuring Rhodamine 6G. (A) Trace of fluorescent intensities in a single measurement (5 s). mV-Wnt8 shows characteristic peaks (asterisks). (B) Normalized autocorrelation functions of mV-Wnt8, mV-Frzb, and sec-mV. (C) Distribution of Dslow, Dfast, and the number of particles (NoP) in individual measurements of FCS. Dot plots for individual data values and boxplots were drawn with R and its package ‘beeswarm.’ Statistical significance (p) was calculated using the Wilcoxon rank sum test (two-sided) and where significant, the p value is indicated in red. (D) Summary of FCS measurements. s.d., standard deviation.

Figure 3—figure supplement 3
Membrane-tethered form of Heparinase III (HepIII-HA-GPI) digests HS chains on expressing cells.

(A) Immunostaining of HepIII-HA-GPI expressing Xenopus gastrula (st.11) with anti-HS-stub antibody (monoclonal antibody F69-3G10). HepIII-HA-GPI-expressing cells were visualized with anti-HA staining. 3G10 staining localized on the HepIII-HA-GPI expressing cells. Scale bar, 20 μm. (B) Quantification of 3G10 staining with different concentrations of HepIII-HA-GPI. Regions uniformly expressing HepIII-HA-GPI were analyzed. Number of embryos, eight each; number of analyzed regions, 13 (12.5 and 50 pg) or 14 (200 and 800 pg). Statistical significance (p) was calculated by pairwise comparisons using the Wilcoxon rank sum test adjusted for multiple comparisons with Holm’s method and when it was significant, the p value is indicated in red. The data suggest that over 200 pg of sp-hepIII-ha-GPI result in saturation of the HS digestion. (C) HepIII-HA-GPI reduced NAH46 and HepSS-1 staining. NAH46 stains N-acetyl-rich HS clusters (scaffolds for Frzb) and HepSS-1 stains N-sulfo-rich HS clusters (scaffolds for Wnt8) (Mii et al., 2017). Because HepSS-1 staining in the st.11 animal cap region is relatively weak and heterogenous among cells, the activity was also examined in the st.13 neural plate region, where HepSS-1 staining is uniformly strong. Scale bars, 20 μm.

Figure 4 with 3 supplements
Fluorescence decay after photoconversion (FDAP) assay at the cell-boundary of Xenopus embryos.

(A) Stable distribution of mKikGR-Wnt8 and mKikGR-Frzb. The superficial layer of a Xenopus gastrula (st. 10.5–11) was imaged as a z-stack and maximum intensity projection (MIP) was presented. Puncta of these proteins persisted for 30 min (arrowheads). Scale bars, 10 μm. (B) Schematic illustration of cell-boundary FDAP assay. Green lines represent mKikGR-fusion protein distributed in the intercellular region. As an example, still images before and after photoconversion (PC) are shown. Width of the blue box (area of PC and measurement) was 1.66 μm. See also Videos 13 and the text for detail. (C) Time course of red (photoconverted state) fluorescent intensity within the photoconverted region. Photoconversion was performed about 4 s after the beginning of the measurement. Means of normalized intensities were presented (for s.d., see Figure supplement 2A). Data of ‘mKikGR-Frzb fixed’ were measured with MEMFA-fixed mKikGR-Frzb expressing embryos as an immobilized control. Numbers of measurements were indicated as n, which were collected in multiple experiments (twice for mKikGR-Wnt8 and mKikGR-Frzb fixed, and four times for mKikGR-Frzb). (D) Fluorescent decay curves fitted with the dissociation model. The mean of normalized intensities for each time point was corrected for photobleaching with division by 0.9991n (n, number of scanning after PC; Figure 4—figure supplement 2B). Fitting curves are shown as black lines. Residuals were mostly within 5% (0.05) and within 10% (0.1) in all cases. (E) Coefficients and evaluation of goodness of fit with the dissociation model. koff, off-rate constant; C, rate of immobile component; SSE, sum of squared errors; R2, coefficient of determination. Amounts of injected mRNAs (ng/embryo): mkikGR-wnt8 and mkikGR-frzb, 4.0.

Figure 4—figure supplement 1
Biological activity of mKikGR-Wnt8 and -Frzb.

TOP-FLASH reporter assay. Reporter DNA was injected into the animal pole region of a ventral blastomere of four- or eight-cell stage Xenopus embryos with or without mRNAs as indicated, and injected embryos were harvested at st. 11.5. Dot plots for individual data values (normalized with the mean value of TOP-FLASH only) and boxplots were drawn with R and its package ‘beeswarm.’ Numbers of a pool of three embryos for each sample are as indicated (n). Statistical significance (p) was calculated using the Wilcoxon rank sum test (two-sided) and where it was significant, the p value is indicated in red. (A) mkikGR-wnt8 showed significantly higher activity than TOP-FLASH only, indicating the activation of Wnt signaling. (B) mkikGR-frzb showed significantly lower activity than TOP-FLASH +wnt8, indicating the inhibition of Wnt signaling. Amounts of injected DNA/mRNAs (pg/embryo): TOP-FLASH DNA, 150; wnt8 mRNA, 20; mkikGR-wnt8 mRNA, 31 (equimoler to wnt8); frzb mRNA, 80; mkikGR-frzb mRNA, 127 (equimolar to frzb).

Figure 4—figure supplement 2
Fluorescence decay after a photoconversion (FDAP) assay in the extracellular space of Xenopus embryos.

(A) Time course of red (photoconverted state) fluorescent intensity within the photoconverted region. Means ± standard deviations (s.d.) were presented. (B) FDAP of mKikGR-Frzb (fixed) fits with the photobleaching model caused by iterations of scanning. (C) Spatial intensity profiles of FDAP. Representative data are shown. Regions of photoconversion are indicated with vertical dashed lines. The first panel corresponds to Video 1, showing no lateral accumulation even when punctate distributions of unconverted mK-Wnt8 proteins are present in the vicinity. The second and third panels correspond to Videos 2 and 3, respectively. To reduce fluctuations of intensities, means of intensity data from ten frames are plotted for each time point (t1–t3). Averaged time after photoconversion (s): t1, 0.2178; t2, 7.9606; t3,15.6826. (D) Distribution of coefficients in individual measurements of FDAP obtained from fitting with the dissociation model. Dot plots for individual data values and boxplots are drawn with R and its package ‘beeswarm.’ Statistical significance (p) was calculated using the Wilcoxon rank sum test (two-sided) and where it was significant, the p value is indicated in red. Note that data with a large confidence interval (95% confidence interval >twice the calculated value) or R2 <0.2 were excluded due to their low reliability. As a result, numbers of measurements (n) do not match those in Figure 4C and D.

Figure 4—figure supplement 3
Fluorescent decay curve fitted with the effective diffusion model.

(A) Fluorescent decay curve fitted with the effective diffusion model. The half-width of the photoconverted region is defined as h (=0.83 μm) in Equation 2. The mean of normalized intensities for each time point is plotted with a red cross. Fitting curves are shown as black lines. The residuals are within 5% (0.05) in all cases. (B) Coefficients and evaluations of goodness of fit with the effective diffusion model. Da, apparent diffusion coefficient; C, ratio of immobile population; SSE, sum of squared errors; R2, coefficient of determination.

Figure 5 with 1 supplement
A minimal model of secreted protein dynamics in the extracellular space.

Distributions of free (u) and bound (v) components of secreted proteins were obtained by computer simulation. The vertical axis indicates the amount of u and v, and the horizontal axis indicates the distance (x); Distributions in the range of 0 ≤ x ≤ 100 (μm) are shown while the model considers a field whose spatial length L = 1000 (μm). Distributions of u (red) and bound v (blue) at time t = 100 (sec) are shown, which we confirmed as being nearly steady states. We used the forward difference method with spatial step Δx = 0.1 and temporal step Δt = 0.0001 in numerical calculations. The level of v at the position where docking sites exist (a(x) = an,max) remains relatively high even after an,max exceeded b. (A) Schema of the modeling. a(x), binding rate at position x. Note that a(x) is equivalent to the amount of HS for an HS cluster. b, release rate from the HS clusters. c, internalization rate of the HS clusters. D, diffusion coefficient of u. g(x), production rate at position x. For details, see Materials and methods. (B) Rapid internalization of the docking sites. Parameter values are: D = 20.0 (μm2/s), an,max = 10.0, b = 0.1, c = 0.1, gmax = 0.2, R = L/1000, p1 = 2, and p2 = 0.2. The decay length λ is calculated as 6.346 μm, according to the fitting curve (see Figure 5—figure supplement 1A). See also Source code 1. (C) Slow internalization of the docking sites. Parameter values are the same as in (A) except for c = 0.01. The decay length λ is calculated as 10.79 μm, according to the fitting curve (see Figure 5—figure supplement 1B). This value represents a wider range than that in (A). See also Source code 2. (D) Local accumulation similar to intercellular distribution of mV-Wnt8 and -Frzb. an,max is given randomly for each n by an absolute value of the normal distribution. See also Source code 3. (E) Distant scaffolds from the source region. an,max is given to depend on space: 10.0 for 50 ≤ x ≤ 60, otherwise, an,max is 0.0. This situation is similar to tethered-anti-HA Ab (Figure 2B). See also Source code 4. (F) Ligand accumulation in front of the HS-absent region. an,max is given depending on space: 10.0 for 0 ≤ x ≤ 10 and 0 for 10 < x ≤ 1000. Values of v in (B) (vB) are also shown with green dashed lines, for comparison. Note that ligand accumulation occurs in front of the HS-absent region (10 < x.). See also Source code 5.

Figure 5—figure supplement 1
Distribution ranges of the ligands in some conditions.

(A) Slow diffusion. D = 0.50 (μm2/s). Other parameters are the same as Figure 5B. See also Source code 6. (B, C) Normalized distributions of free and bound ligands. Normalized distributions of u and v are plotted. Data are same as in Figure 5B (B) or 5C (C). The decay length λ for u and v differ slightly, but show similar values. (D) Contribution of dissociation from the HS-bound state to the diffusing state. Normalized distributions of the bound populations (v) are plotted. The blue line indicates results with dissociation from the bound state (same data as Figure 5B). The green dotted line indicates results without dissociation from the bound state (b = 0 in Equations 2 and 3). The decay length λ is as indicated. See also Source code 1. (E) Modeling of the FDAP experiment. Distribution of photoconverted ligands bound to HS clusters (v) at the indicated time are plotted. Photoconversion at a single peak was performed after non-converted ligands reached a nearly steady state. See also Source code 7.

Videos

Video 1
Photoconversion of mKikGR-Wnt8 in a cell-boundary region of a Xenopus embryo.
Video 2
Photoconversion of mKikGR-Wnt8 in a cell-boundary region of a Xenopus embryo (another example).
Video 3
Photoconversion of mKikGR-Frzb in a cell-boundary region of a Xenopus embryo.

Photoconversion of mKikGR fusion proteins was performed at a cell-boundary region in the animal cap of a Xenopus gastrula (st. 10.5 st.11.5). mKikGR-Wnt8 (Videos 1 and 2) or mKikGR-Frzb (Video 3) was photoconverted at the region indicated with the blue box after 100 frames scanned (about 4 s), and another 400 frames were scanned for measurement. The width of the region for photoconversion and intensity measurement was 20 pixels (1.66 μm). The play speed is x1.

Tables

Key resources table
Reagent type
(species) or resource
DesignationSource or referenceIdentifiersAdditional information
AntibodyHepSS-1 (mouse monoclonal, IgM)Kure and Yoshie, 1986
Mii et al., 2017
1:400
Figure 3—figure supplement 3C
AntibodyNAH46 (mouse monoclonal, IgM)Suzuki et al., 2008
Mii et al., 2017
1:50
Figure 3—figure supplement 3C
AntibodyF69-3G10 (mouse monoclonal, IgG2b)Seikagaku Corp.3702601:200
Figure 3—figure supplement 3AB
AntibodyAnti-HA (rabbit polyclonal)MBL#5611:200
Figure 3—figure supplement 3ABC
AntibodyAnti-Wnt8 (rabbit antiserum)Mii et al., 20171:4000
Figure 1—figure supplement 1A
AntibodyAnti-mouse IgG-AlexaFluor 488 (goat polyclonal)InvitrogenA110291:500
Figure 3—figure supplement 3AB
AntibodyAnti-rabbit IgG-AlexaFluor 555 (goat polyclonal)InvitrogenA214341:500
Figure 3—figure supplement 3AB
AntibodyAnti-rabbit IgG-AlexaFluor 568 (goat polyclonal)InvitrogenA110111:500
Figure 3—figure supplement 3C
AntibodyAnti-mouse IgM-AlexaFluor 488 (goat polyclonal)InvitrogenA210421:500
Figure 3—figure supplement 3C
AntibodyAnti-rabbit IgG-AlexaFluor 647 (donkey polyclonal)InvitrogenA212451:500
Figure 1—figure supplement 1A
AntibodyAnti-mouse IgM-AlexaFluor 488 (goat polyclonal)InvitrogenA210421:500
Figure 3—figure supplement 3C
Cell line (Mus musculus)Hybridoma anti-HA (clone 12CA5)Field et al., 1988Mouse monoclonal, IgG2b, kappa
Cell line (Mus musculus)Hybridoma anti-Myc (clone 9E10)Evan et al., 1985Mouse monoclonal, IgG1, kappa
Gene (Mus musculus)12CA5-ig-gamma-2bThis studyLC522514Gene
Gene (Mus musculus)12CA5-ig-kappaThis studyLC522515Gene
Recombinant DNA reagentmorphotrapHarmansa et al., 2015
Recombinant DNA reagentpET21b-Phep_3797 (plasmid)Hashimoto et al., 2014
Recombinant DNA reagentpCSf107-SP-HepIII-HA-GPI (plasmid)This study
Software, algorithmPyCorrFitMüller et al., 2014Version 1.1.7Windows version
Software, algorithmFijiSchindelin et al., 2012
Software, algorithmimage JNIH
Software, algorithmZen2009Zeiss
Software, algorithmMatlab
Curve Fitting Toolbox
Mathworks
Software, algorithmRThe R Foundation

Additional files

Source code 1

Source code for Figure 5B and Figure 5—figure supplement 1D.

https://cdn.elifesciences.org/articles/55108/elife-55108-code1-v2.zip
Source code 2

Source code for Figure 5C.

https://cdn.elifesciences.org/articles/55108/elife-55108-code2-v2.zip
Source code 3

Source code for Figure 5D.

https://cdn.elifesciences.org/articles/55108/elife-55108-code3-v2.zip
Source code 4

Source code for Figure 5E.

https://cdn.elifesciences.org/articles/55108/elife-55108-code4-v2.zip
Source code 5

Source code for Figure 5F.

https://cdn.elifesciences.org/articles/55108/elife-55108-code5-v2.zip
Source code 6

Source code for Figure 5—figure supplement 1A.

https://cdn.elifesciences.org/articles/55108/elife-55108-code6-v2.zip
Source code 7

Source code for Figure 5—figure supplement 1E.

All source code files are written in C. An executable file ‘a.out’ will be generated by compilation. By executing ‘a.out’, amounts of u (free) and v (bound) at each position in the field is recorded in a data file ‘dists_uv.dat’.

https://cdn.elifesciences.org/articles/55108/elife-55108-code7-v2.zip
Supplementary file 1

Primers used for molecular cloning of IgG cDNAs from hybridomas.

See the section of ‘cDNA cloning of IgG from cultured hybridomas’ in Materials and methods for details.

https://cdn.elifesciences.org/articles/55108/elife-55108-supp1-v2.xlsx
Transparent reporting form
https://cdn.elifesciences.org/articles/55108/elife-55108-transrepform-v2.docx

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  1. Yusuke Mii
  2. Kenichi Nakazato
  3. Chan-Gi Pack
  4. Takafumi Ikeda
  5. Yasushi Sako
  6. Atsushi Mochizuki
  7. Masanori Taira
  8. Shinji Takada
(2021)
Quantitative analyses reveal extracellular dynamics of Wnt ligands in Xenopus embryos
eLife 10:e55108.
https://doi.org/10.7554/eLife.55108