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Systematic profiling of early regulators during tissue regeneration using zebrafish model
Author(s) -
Shi Linsheng,
Chen Changsheng,
Yin Zhenhua,
Wei Guanyun,
Xie Gangcai,
Liu Dong
Publication year - 2020
Publication title -
wound repair and regeneration
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.847
H-Index - 109
eISSN - 1524-475X
pISSN - 1067-1927
DOI - 10.1111/wrr.12852
Subject(s) - zebrafish , regeneration (biology) , biology , transcriptome , gene , fibroblast growth factor , model organism , computational biology , gene expression profiling , genetics , microbiology and biotechnology , gene expression , receptor
Great progresses have been made in comprehension of tissue regeneration process. However, one of the central questions in regeneration research remains to be deciphered is what factors initiate regenerative process. In present study, we focused on systematic profiling of early regulators in tissue regeneration via high‐throughput screening on zebrafish caudal fin model. Firstly, 53 GO‐annotated regeneration‐related genes, which were specifically activated upon fin amputation, were identified according to the transcriptomic analysis. Moreover, qRT‐PCR analysis of a couple of randomly selected genes from the aforementioned gene list validated our sequencing results. These studies confirmed the reliability of transcriptome sequencing analysis. Fibroblast growth factor 20a ( fgf20a ) is a key initial factor in the regeneration of zebrafish. Through a gene expression correlation analysis, we discovered a collection of 70 genes correlating with fgf20a , whose expression increased promptly at 2 days post amputation (dpa) and went down to the basal level until the completion of fin regeneration. In addition, two genes, socs3b and nppc , were chosen to investigate their functions during the fin regeneration. Inhibition of either of those genes significantly delayed the regenerative process. Taken together, we provided a simple and effective time‐saving strategy that may serve as a tool for identifying early regulators in regeneration and identified 71 genes as early regulators of fin regeneration.