Literature DB >> 32138647

Gene expression analysis reveals the tipping points during infant brain development for human and chimpanzee.

Hui Tang1, Ying Tang1, Tao Zeng2, Luonan Chen3,4,5.   

Abstract

BACKGROUND: Postpartum developmental delay has been proposed as an important phenotype of human evolution which contributes to many human-specific features including the increase in brain size and the advanced human-specific cognitive traits. However, the biological processes and molecular functions underlying early brain development still remain poorly understood, especially in human and primates.
RESULTS: In this paper, we comparatively and extensively studied dorsolarteral prefrontal cortex expression data in human and chimpanzee to investigate the critical processes or biological events during early brain development at a molecular level. By using the dynamic network biomarker (DNB) model, we found that there are tipping points around 3 months and 1 month, which are crucial periods in infant human and chimpanzee brain development, respectively. In particular, we shown that the human postnatal development and the corresponding expression changes are delayed 3 times relative to chimpanzee, and we also revealed that many common biological processes are highly involved in those critical periods for both human and chimpanzee, e.g., physiological system development functions, nervous system development, organismal development and tissue morphology. These findings support that the maximal rates of brain growth will be in those two critical periods for respective human and primates. In addition, different from chimpanzee, our analytic results also showed that human can further develop a number of advanced behavior functions around this tipping point (around 3 months), such as the ability of learning and memory.
CONCLUSION: This work not only provides biological insights into primate brain development at a molecular level but also opens a new way to study the criticality of nonlinear biological processes based on the observed omics data.

Entities:  

Keywords:  Bioinformatics; Brain development; Dynamic network biomarker; Gene expression; Tipping point

Year:  2020        PMID: 32138647     DOI: 10.1186/s12864-020-6465-8

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


  2 in total

1.  Vec2image: an explainable artificial intelligence model for the feature representation and classification of high-dimensional biological data by vector-to-image conversion.

Authors:  Hui Tang; Xiangtian Yu; Rui Liu; Tao Zeng
Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

2.  Integrative analysis of miRNA-mRNA network in idiopathic membranous nephropathy by bioinformatics analysis.

Authors:  Wenfang He; Jinshi Zhang; Shizhu Yuan; Mingzhu Liang; Weidong Chen; Juan Jin
Journal:  PeerJ       Date:  2021-09-29       Impact factor: 2.984

  2 in total

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