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Cell Rep. 2023 Apr 25;42(4):112330. doi: 10.1016/j.celrep.2023.112330. Epub 2023 Apr 3.
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Transcriptomic entropy benchmarks stem cell-derived cardiomyocyte maturation against endogenous tissue at single cell level.转录组熵基准将干细胞来源的心肌细胞成熟度与单细胞水平的内源性组织进行比较。
PLoS Comput Biol. 2021 Sep 17;17(9):e1009305. doi: 10.1371/journal.pcbi.1009305. eCollection 2021 Sep.
3
Molecular logic of cellular diversification in the mouse cerebral cortex.小鼠大脑皮层细胞多样化的分子逻辑。
Nature. 2021 Jul;595(7868):554-559. doi: 10.1038/s41586-021-03670-5. Epub 2021 Jun 23.
4
Maturing heart muscle cells: Mechanisms and transcriptomic insights.成熟心肌细胞:机制与转录组学研究进展。
Semin Cell Dev Biol. 2021 Nov;119:49-60. doi: 10.1016/j.semcdb.2021.04.019. Epub 2021 May 2.
5
PGC1/PPAR drive cardiomyocyte maturation at single cell level via YAP1 and SF3B2.PGC1/PPAR 通过 YAP1 和 SF3B2 驱动心肌细胞在单细胞水平上的成熟。
Nat Commun. 2021 Mar 12;12(1):1648. doi: 10.1038/s41467-021-21957-z.
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Embryonic liver developmental trajectory revealed by single-cell RNA sequencing in the Foxa2 mouse.单细胞 RNA 测序揭示 Foxa2 小鼠胚胎肝脏发育轨迹。
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8
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Comparative Transcriptome Landscape of Mouse and Human Hearts.小鼠和人类心脏的比较转录组图谱
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跨器官转录组比较揭示了成熟过程中的普遍因素。

Cross-Organ Transcriptomic Comparison Reveals Universal Factors During Maturation.

机构信息

Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

出版信息

J Comput Biol. 2022 Sep;29(9):1031-1044. doi: 10.1089/cmb.2021.0349. Epub 2022 Jul 8.

DOI:10.1089/cmb.2021.0349
PMID:35802489
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9499449/
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.

摘要

各种细胞类型可以由干细胞衍生而来。然而,这些细胞不成熟,在功能能力上与成年细胞不匹配,限制了它们在疾病建模和细胞治疗中的应用。因此,了解体内成熟的机制至关重要。然而,目前尚不清楚在成熟过程中是否存在器官间保守的基因和途径。为了解决这个问题,我们对小鼠心脏、大脑、肝脏和肾脏的转录组进行了时间序列分析,并分析了它们随时间的轨迹。此外,还重建了基因调控网络以确定重叠的表达模式。在此基础上,我们确定了所有四个器官中共同上调和下调的途径。还根据下游基因的时间表达预测了关键的上游调节剂。这些发现表明在器官成熟过程中存在通用调节剂,这可能有助于我们开发一种通用策略,使体外干细胞衍生的细胞成熟。