A Meta-Analysis of Bioelectric Data in Cancer, Embryogenesis, and Regeneration

生物 再生(生物学) 计算生物学 转录组 表型 细胞命运测定 电池类型 进化生物学 生物信息学 基因 神经科学 遗传学 基因表达 细胞 转录因子
作者
Pranjal Srivastava,Anna Kane,Christina Harrison,Michael Levin
出处
期刊:Bioelectricity [Mary Ann Liebert, Inc.]
卷期号:3 (1): 42-67 被引量:39
标识
DOI:10.1089/bioe.2019.0034
摘要

Developmental bioelectricity is the study of the endogenous role of bioelectrical signaling in all cell types. Resting potentials and other aspects of ionic cell physiology are known to be important regulatory parameters in embryogenesis, regeneration, and cancer. However, relevant quantitative measurement and genetic phenotyping data are distributed throughout wide-ranging literature, hampering experimental design and hypothesis generation. Here, we analyze published studies on bioelectrics and transcriptomic and genomic/phenotypic databases to provide a novel synthesis of what is known in three important aspects of bioelectrics research. First, we provide a comprehensive list of channelopathies—ion channel and pump gene mutations—in a range of important model systems with developmental patterning phenotypes, illustrating the breadth of channel types, tissues, and phyla (including man) in which bioelectric signaling is a critical endogenous aspect of embryogenesis. Second, we perform a novel bioinformatic analysis of transcriptomic data during regeneration in diverse taxa that reveals an electrogenic protein to be the one common factor specifically expressed in regeneration blastemas across Kingdoms. Finally, we analyze data on distinct V mem signatures in normal and cancer cells, revealing a specific bioelectrical signature corresponding to some types of malignancies. These analyses shed light on fundamental questions in developmental bioelectricity and suggest new avenues for research in this exciting field.

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