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Patel JH
,
Ong DJ
,
Williams CR
,
Callies LK
,
Wills AE
.
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A fundamental step in regeneration is rapid growth to replace lost tissue. Cells must generate sufficient lipids, nucleotides, and proteins to fuel rapid cell division. To define metabolic pathways underlying regenerative growth, we undertake a multimodal investigation of metabolic reprogramming in Xenopus tropicalis appendage regeneration. Regenerating tissues have increased glucose uptake; however, inhibition of glycolysis does not decrease regeneration. Instead, glucose is funneled to the pentose phosphate pathway (PPP), which is essential for full tail regeneration. Liquid chromatography-mass spectrometry (LC-MS) metabolite profiling reveals increased nucleotide and nicotinamide intermediates required for cell division. Using single-cell RNA sequencing (scRNA-seq), we find that highly proliferative cells have increased transcription of PPP enzymes and not glycolytic enzymes. Further, PPP inhibition results in decreased cell division specifically in regenerating tissue. Our results inform a model wherein regenerating tissues direct glucose toward the PPP, yielding nucleotide precursors to drive regenerative cell proliferation.
Figure 1. Glucose uptake does not drive increased glycolysis in regeneration
(A) Tail vein injection diagram and fluorescent image of 2NBDG uptake in stage 41 tadpole 3 h post injection.
(B) 2NBDG uptake at the time of amputation (0 hpa), 24, and 72 hpa. Signal saturated to notochord, with increased uptake in regenerating tissue visible in the bud at 24 hpa and axial tissues by 72 hpa. White lines mark amputation. Numbers indicate proportion of animals displaying phenotype over total assayed.
(C) Bulk RNA-seq expression of glucose transporters (slc2a) significantly increased from 0 to 24 hpa as log2 fold change (FC) to 0 hpa mean. (D) Expression of glycolytic genes at 0 and 24 hpa as log2FC to 0 hpa mean. Statistical significance for (C) and (D) was determined with EdgeR. ââp < 0.01; âââp < 0.001; ns, not significant.
(E) Metabolomics time course, with 8â10 biological replicates per time point.
(F and G) Sum normalized peak intensity across time course, color coded as in (E). Glucose (F) trends up at 3 and 24 hpa relative to 0 hpa, while lactate (G) is unchanged.
(H) Representative images of 72 hpa tails after injection of miniRuby or 4 nmol 2DG. Black lines mark amputation.
(I) Regeneration length for 1 and 4 nmol 2DG normalized to miniRuby clutchmates. Statistical significance between groups was evaluated with ANOVA.
(J) Regeneration scores tails in (I). No statistical significance in phenotype distribution was found by chi-square analysis.
(K) Sum normalized peak intensity for lactate in miniRuby- and 2DG-injected animals, showing reduction following inhibition of glycolysis.
Numbers (n) in (B), (I), and (J) correspond to the number of individual animals assayed.
Figure 2. Pentose phosphate flux is increased in regeneration
(A) Glucose metabolism coded by reactions specific to different branches. Targets of inhibitors are marked.
(B) Expression of PPP genes at 0 and 24 hpa as log2FC to 0 hpa mean. Statistical significance was determined using EdgeR. âââp < 0.001; ns, not significant.
(C) Enzymatic activity of G6PD at 1 or 24 hpa (normalized to 1 hpa) reported in mUnits/mg of isolated protein across 3 biological replicates. Significance was evaluated with a t test, p = 0.003045.
(D) In situ hybridization of g6pd and tkt at 0 and 24 hpa. Both transcripts are expressed in axial tissues, with increases in regenerating tissue at 24. For 0 hpa, top right indicates the number that resemble the representative image over the total number assayed. For 24 hpa, top right indicates the number with transcript expression in regenerating tissues over the total number assayed. Dashed lines mark amputation.
Figure 3. Pentose phosphate flux is required for tail regeneration
(A) DAPI-stained tails 72 hpa treated with 0.1% DMSO, 25 μM DHEA, or 10 μM g6pdi. Dashed lines mark amputation.
(B) Regeneration length normalized to DMSO clutchmates. Statistical significance between groups was determined by ANOVA (p < 2 Ã 10â16) followed by Tukeyâs post test. ââââp < 0.0001.
(C) Regeneration scores at 72 hpa. The treatments have statistically significant distribution of phenotypes by chi-square (p = 0.0016).
Numbers (n) in (B) and (C) correspond to the number of individual animals assayed.
Figure 4. PPP activity is required for proliferation during regeneration
(A) Differentially abundant metabolites determined by ANOVA. Post hoc Fisherâs least significant difference (LSD) was used. Metabolites significantly increased at 24 hpa relative to uninjured tips are labeled red.
(B) Pathway analysis of 24 hpa enriched metabolites. Labeled processes have p <0.05 and impact >0.
(C) Uniform manifold approximation and projection (UMAP) of cells from 24 hpa regenerating tissue.
(D) Aggregated gene indices for proliferative, PPP, and glycolytic genes by cell. Red indicates higher expression.
(E) Correlation between proliferative and glycolytic or PPP indices. Each point is a cell colored by density, with green representing more cells near that position. High values correlate to higher aggregate expression.
(F and G) Immunohistochemistry (IHC) for proliferative marker pH3.
(F) pH3 cell density normalized to DMSO by experimental clutch for 24 and 72 hpa. Statistical significance between groups was determined by ANOVA (p = 4.413 Ã 10â10 for 24 hpa and 8.25 Ã 10â6 for 72 hpa) followed by Tukeyâs post test. âââp < 0.001 and ââââp < 0.0001. 23â34 animals were assayed per condition.
(G) 72 hpa tails treated with 0.1% DMSO, 25 μM DHEA, or 10 μM g6pdi. Dashed lines outline regenerating tissue.
Figure S1: Nucleotide metabolic intermediates are increased at 24hpa, related to Figures 1 and 4. A,B) Mean fluorescence of 2NBDG signal in anterior (excluding the notocord) or regenerating tissue at 24 (A) and 72hpa (B). Measurements from the same animal are connected by lines. C) Heatmap of all metabolites detected. Metabolites with significant changes in abundance (as determined by ANOVA, FDR<0.05) are marked with a red box. D) Pathway analysis of differentially abundant metabolites. Processes which have a p value<0.05 and pathway impact>0 are labeled. E) Plot of sum normalized peak intensities across miniRuby and 2DG injected tadpoles. G1P/F1P/G6P are significantly reduced in 2DG treated samples. F) Quantification of regeneration length for 25 and 100 mM 2DG normalized to controls. Statistical significance between groups was evaluated with ANOVA. G) Regeneration scores for experiment in F. No statistical significance in phenotype distribution was found by chi-square analysis.
Figure S2: Effective dose determination for G6PD inhibitors, related to Figure 3. A,C) Quantification of regeneration length normalized to DMSO clutchmates for DHEA (A) and g6pdi (C) dose curves. B,D) Regeneration scores for the same dose curves binned to complete (full tail regeneration), strong (incomplete fin regeneration), poor (very little regeneration), or none. For C, 10µM is significantly different from all other conditions (p<0.01). For A and C, significance was determined by ANOVA followed by Tukeyâs posttest.
Figure S3: Single cell analysis of 24hpa tissue, related to Figure 4. A) Dot plot showing cell types and marker genes. B-C) UMAPs showing gene expression of individual glycolytic (B) and PPP (C) genes. Red indicates higher aggregate expression.
Figure S4: Proliferation in tissue anterior to wound site is not sensitive to G6PD inhibition, related to Figure 4. A) 24hpa pH3 stains under DMSO, DHEA, or g6pdi treatments noting regions quantified in proliferation assay. Anterior proliferation rate is indicated by the solid white line, 300µm from the amputation plane. Regenerating tissue outlined in dotted line. B-C) pH3 cell density 24 (B) and 72hpa (C) in anterior (top) and regenerating tissue (bottom). A subset of samples from Figure 4F-G were used in this analysis. Statistical significance between groups was determined by ANOVA followed by Tukeyâs posttest. * = p<0.05, ** = p<0.01, *** = p<0.001, **** = p<0.0001, ns is not significant.
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