Literature DB >> 35802489

Cross-Organ Transcriptomic Comparison Reveals Universal Factors During Maturation.

Sandeep Kambhampati1,2,3,4, Sean Murphy1,2,3,4, Hideki Uosaki1,4,5, Chulan Kwon1,2,3,4.   

Abstract

Various cell types can be derived from stem cells. However, these cells are immature and do not match their adult counterparts in functional capabilities, limiting their use in disease modeling and cell therapies. Thus, it is crucial to understand the mechanisms of maturation in vivo. However, it is unknown if there are genes and pathways conserved across organs during maturation. To address this, we performed a time-series analysis of the transcriptome of the mouse heart, brain, liver, and kidney and analyzed their trajectories over time. In addition, gene regulatory networks were reconstructed to determine overlapping expression patterns. Based on these, we identified commonly upregulated and downregulated pathways across all four organs. Key upstream regulators were also predicted based on the temporal expression of downstream genes. These findings suggest the presence of universal regulators during organ maturation, which may help us develop a general strategy to mature stem cell-derived cells in vitro.

Entities:  

Keywords:  bioinformatics; maturation; microarray; organogenesis; transcriptome

Mesh:

Year:  2022        PMID: 35802489      PMCID: PMC9499449          DOI: 10.1089/cmb.2021.0349

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.549


  36 in total

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Authors:  J A Warrington; A Nair; M Mahadevappa; M Tsyganskaya
Journal:  Physiol Genomics       Date:  2000-04-27       Impact factor: 3.107

Review 2.  Gastrula organiser and embryonic patterning in the mouse.

Authors:  Lorraine Robb; Patrick P L Tam
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Review 3.  Similarities and differences between mechanisms of organ and tissue growth regulation.

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Review 4.  Energy metabolic phenotype of the cardiomyocyte during development, differentiation, and postnatal maturation.

Authors:  Gary D Lopaschuk; Jagdip S Jaswal
Journal:  J Cardiovasc Pharmacol       Date:  2010-08       Impact factor: 3.105

5.  Noise-robust soft clustering of gene expression time-course data.

Authors:  Matthias E Futschik; Bronwyn Carlisle
Journal:  J Bioinform Comput Biol       Date:  2005-08       Impact factor: 1.122

6.  Detecting and profiling tissue-selective genes.

Authors:  Shuang Liang; Yizheng Li; Xiaobing Be; Steve Howes; Wei Liu
Journal:  Physiol Genomics       Date:  2006-05-09       Impact factor: 3.107

7.  Human housekeeping genes, revisited.

Authors:  Eli Eisenberg; Erez Y Levanon
Journal:  Trends Genet       Date:  2013-06-27       Impact factor: 11.639

Review 8.  Inter-organ cross-talk in metabolic syndrome.

Authors:  Christina Priest; Peter Tontonoz
Journal:  Nat Metab       Date:  2019-12-09

9.  Comparative transcriptome analysis reveals vertebrate phylotypic period during organogenesis.

Authors:  Naoki Irie; Shigeru Kuratani
Journal:  Nat Commun       Date:  2011       Impact factor: 14.919

10.  Identification and characterization of functional modules reflecting transcriptome transition during human neuron maturation.

Authors:  Zhisong He; Qianhui Yu
Journal:  BMC Genomics       Date:  2018-04-17       Impact factor: 3.969

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