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

Authors :
Jin, Han
Zhang, Cheng
Zwahlen, Martin
von Feilitzen, Kalle
Karlsson, Max
Shi, Mengnan
Yuan, Meng
Song, Xiya
Li, Xiangyu
Yang, Hong
Turkez, Hasan
Fagerberg, Linn
Uhlén, Mathias
Mardinoglu, Adil
Jin, Han
Zhang, Cheng
Zwahlen, Martin
von Feilitzen, Kalle
Karlsson, Max
Shi, Mengnan
Yuan, Meng
Song, Xiya
Li, Xiangyu
Yang, Hong
Turkez, Hasan
Fagerberg, Linn
Uhlén, Mathias
Mardinoglu, Adil
Publication Year :
2023

Abstract

Cell 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.<br />QC 20230913

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1400072623
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1038.s41467-023-41132-w