Evidence map›Paper›PMID 37669926›Full record

ArticleNature communications2023

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

Han Jin, Cheng Zhang, Martin Zwahlen, Kalle von Feilitzen, Max Karlsson, Mengnan Shi, Meng Yuan, Xiya Song, Xiangyu Li, Hong Yang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed
44.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

115 citing papers in PubMed, 124 citations in OpenAlex.

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55 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 3 countries.

Han Jin *Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-0955-6289
Cheng Zhang *Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3721-8586
Martin ZwahlenScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-0064-4776
Kalle von FeilitzenScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-0257-7554
Max KarlssonScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-7000-4416
Mengnan ShiScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-8643-5846
Meng YuanScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.
Xiya SongScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.
Xiangyu LiScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-8301-9959
Hong YangScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID http://orcid.org/0009-0002-0414-2471
Hasan TurkezDepartment of Medical Biology, Faculty of Medicine, Atatürk University, Erzurum, Turkey.
Linn FagerbergScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-0198-7137
Mathias UhlénScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden. mathias.uhlen@scilifelab.se.ORCID http://orcid.org/0000-0002-4858-8056
Adil MardinogluScience for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden. adilm@scilifelab.se.ORCID http://orcid.org/0000-0002-4254-6090
Science for Life Laboratory · SEAtatürk University · TRKarolinska Institutet · SEKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

NeoplasmsCell LineDrug DevelopmentGene ExpressionGene Expression ProfilingHumans

Identifiers

PMID37669926
PMCPMC10480497
OpenAlexW4386444294

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.