Document details

Reconstruction of regulatory network predicts transcription factors driving the dynamics of zebrafish heart regeneration

Author(s): Nunes, Leandro Silva ; Domingues, William Borges ; Kremer, Frederico Schmitt ; Pinhal, Danillo [UNESP] ; Campos, Vinicius Farias

Date: 2022

Persistent ID: http://hdl.handle.net/11449/230320

Origin: Oasisbr

Subject(s): Danio rerio; Heart; Regeneration; Regulation; Transcription factors; Danio rerio; Danio rerio; Heart; Heart; Regeneration; Regeneration; Regulation; Regulation; Transcription factors; Transcription factors


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Made available in DSpace on 2022-04-29T08:39:19Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-04-20

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

The limited regenerative capacity in mammals has serious implications for cardiac tissue damage. Meanwhile, zebrafish has a high regenerative capacity, but the regulation of the heart healing process has yet to be elucidated. The dynamic nature of cardiac regeneration requires consideration of the inherent temporal dimension of this process. Here, we conducted a systematic review to find genes that define the regenerative cell state of the zebrafish heart. We then performed an in silico temporal gene regulatory network analysis using transcriptomic data from the zebrafish heart regenerative process obtained from databases. In this analysis, the genes found in the systematic review were used to represent the final cell state of the transition process from a non-regenerative cell state to a regenerative state. We found 135 transcription factors driving the cellular state transition process during zebrafish cardiac regeneration, including Hand2, Nkx2.5, Tbx20, Fosl1, Fosb, Junb, Vdr, Wt1, and Tcf21 previously reported for playing a key role in tissue regeneration. Furthermore, we demonstrate that most regulators are activated in the first days post-injury, indicating that the transition from a non-regenerative to a regenerative state occurs promptly.

Laboratório de Genômica Estrutural Programa de Pós-Graduação em Biotecnologia Centro de Desenvolvimento Tecnológico Universidade Federal de Pelotas

Laboratório de Bioinformática e Proteômica Programa de Pós-Graduação em Biotecnologia Centro de Desenvolvimento Tecnológico Universidade Federal de Pelotas

Laboratório Genômica e Evolução Molecular Departamento de Genética Instituto de Biociências de Botucatu Universidade Estadual Paulista (UNESP)

Laboratório Genômica e Evolução Molecular Departamento de Genética Instituto de Biociências de Botucatu Universidade Estadual Paulista (UNESP)

Document Type Journal article
Language English
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