Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation-Reference-Cited by-同舟云学术

Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation

Published:2023-09-05 Issue:1 Volume:14 Page:
ISSN:2041-1723
Container-title:Nature Communications
language:en
Short-container-title:Nat Commun

Author:

Jin Han^ORCID,Zhang Cheng^ORCID,Zwahlen Martin^ORCID,von Feilitzen Kalle^ORCID,Karlsson Max^ORCID,Shi Mengnan^ORCID,Yuan Meng,Song Xiya,Li Xiangyu^ORCID,Yang Hong^ORCID,Turkez Hasan,Fagerberg Linn^ORCID,Uhlén Mathias^ORCID,Mardinoglu Adil^ORCID

Abstract

AbstractCell lines are valuable resources as model for human biology and translational medicine. It is thus important to explore the concordance between the expression in various cell lines vis-à-vis human native and disease tissues. In this study, we investigate the expression of all human protein-coding genes in more than 1,000 human cell lines representing 27 cancer types by a genome-wide transcriptomics analysis. The cell line gene expression is compared with the corresponding profiles in various tissues, organs, single-cell types and cancers. Here, we present the expression for each cell line and give guidance for the most appropriate cell line for a given experimental study. In addition, we explore the cancer-related pathway and cytokine activity of the cell lines to aid human biology studies and drug development projects. All data are presented in an open access cell line section of the Human Protein Atlas to facilitate the exploration of all human protein-coding genes across these cell lines.

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary

Link

https://www.nature.com/articles/s41467-023-41132-w.pdf

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