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通过对人类和小鼠的单细胞RNA测序进行综合网络建模,揭示了造血过程中高度保守的转录调控。

Comprehensive network modeling from single cell RNA sequencing of human and mouse reveals well conserved transcription regulation of hematopoiesis.

作者信息

Gao Shouguo, Wu Zhijie, Feng Xingmin, Kajigaya Sachiko, Wang Xujing, Young Neal S

机构信息

Hematopoiesis and Bone Marrow Failure Laboratory, Hematology Branch, NHLBI, National Institutes of Health, Bethesda, MD, 20892, USA.

Division of Diabetes, Endocrinology, and Metabolic Diseases (DEM), NIDDK, National Institutes of Health, Bethesda, MD, 20817, USA.

出版信息

BMC Genomics. 2020 Dec 29;21(Suppl 11):849. doi: 10.1186/s12864-020-07241-2.

Abstract

BACKGROUND

Presently, there is no comprehensive analysis of the transcription regulation network in hematopoiesis. Comparison of networks arising from gene co-expression across species can facilitate an understanding of the conservation of functional gene modules in hematopoiesis.

RESULTS

We used single-cell RNA sequencing to profile bone marrow from human and mouse, and inferred transcription regulatory networks in each species in order to characterize transcriptional programs governing hematopoietic stem cell differentiation. We designed an algorithm for network reconstruction to conduct comparative transcriptomic analysis of hematopoietic gene co-expression and transcription regulation in human and mouse bone marrow cells. Co-expression network connectivity of hematopoiesis-related genes was found to be well conserved between mouse and human. The co-expression network showed "small-world" and "scale-free" architecture. The gene regulatory network formed a hierarchical structure, and hematopoiesis transcription factors localized to the hierarchy's middle level.

CONCLUSIONS

Transcriptional regulatory networks are well conserved between human and mouse. The hierarchical organization of transcription factors may provide insights into hematopoietic cell lineage commitment, and to signal processing, cell survival and disease initiation.

摘要

背景

目前,尚无对造血过程中转录调控网络的全面分析。跨物种基因共表达产生的网络比较有助于理解造血过程中功能基因模块的保守性。

结果

我们使用单细胞RNA测序对人和小鼠的骨髓进行分析,并推断每个物种中的转录调控网络,以表征控制造血干细胞分化的转录程序。我们设计了一种网络重建算法,对人和小鼠骨髓细胞中的造血基因共表达和转录调控进行比较转录组分析。发现造血相关基因的共表达网络连通性在小鼠和人类之间具有良好的保守性。共表达网络呈现“小世界”和“无标度”结构。基因调控网络形成了层次结构,造血转录因子定位于该层次结构的中间水平。

结论

人和小鼠之间的转录调控网络具有良好的保守性。转录因子的层次组织可能为造血细胞谱系定向、信号处理、细胞存活和疾病发生提供见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bbb/7771096/b9419a66e7bd/12864_2020_7241_Fig1_HTML.jpg

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