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

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 g...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480497/
https://www.ncbi.nlm.nih.gov/pubmed/37669926
http://dx.doi.org/10.1038/s41467-023-41132-w
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author 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
author_facet 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
author_sort Jin, Han
collection PubMed
description 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.
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spelling pubmed-104804972023-09-07 Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation 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 Nat Commun Article 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. Nature Publishing Group UK 2023-09-05 /pmc/articles/PMC10480497/ /pubmed/37669926 http://dx.doi.org/10.1038/s41467-023-41132-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
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
Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation
title Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation
title_full Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation
title_fullStr Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation
title_full_unstemmed Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation
title_short Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation
title_sort systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10480497/
https://www.ncbi.nlm.nih.gov/pubmed/37669926
http://dx.doi.org/10.1038/s41467-023-41132-w
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