Evidence map›Paper›PMID 31733513›Full record

ArticleiScience2019

Quantitative Proteome Landscape of the NCI-60 Cancer Cell Lines.

Tiannan Guo, Augustin Luna, Vinodh N Rajapakse, Ching Chiek Koh, Zhicheng Wu, Wei Liu, Yaoting Sun, Huanhuan Gao, Michael P Menden, Chao Xu and 29 more

Abstract read
In one paragraph

Article in iScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

  1. Article
  2. Establishment of cell size-dependent growth rate via differential scaling of metabolite uptake and release.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

39 authors.

Tiannan GuoKey Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, P. R. China; Guomics Laboratory of Proteomic Big Data, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland. Electronic address: guotiannan@westlake.edu.cn.
Augustin LunacBio Center, Division of Biostatistics, Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.
Vinodh N RajapakseDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Ching Chiek KohDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Zhicheng WuKey Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, P. R. China; Guomics Laboratory of Proteomic Big Data, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.
Wei LiuKey Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, P. R. China; Guomics Laboratory of Proteomic Big Data, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China; Department of Clinical Pharmacology, College of Pharmacy, Dalian Medical University, Dalian, Liaoning, China.
Yaoting SunKey Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, P. R. China; Guomics Laboratory of Proteomic Big Data, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.
Huanhuan GaoKey Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, P. R. China; Guomics Laboratory of Proteomic Big Data, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.
Michael P MendenRWTH Aachen University, Faculty of Medicine, Joint Research Centre for Computational Biomedicine (JRC-COMBINE), Aachen, Germany; Bioscience, Oncology, IMED Biotech Unit, AstraZeneca, Cambridge, UK.
Chao XuFaculty of Software, Fujian Normal University, Fuzhou, China.
Laurence CalzoneInstitut Curie, PSL Research University, INSERM, U900, Mines Paris Tech 75005, Paris, France.
Loredana MartignettiInstitut Curie, PSL Research University, INSERM, U900, Mines Paris Tech 75005, Paris, France.
Chiara AuwerxDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Marija BuljanDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Amir Banaei-EsfahaniDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; PhD Program in Systems Biology, Life Science Zurich Graduate School, University of Zurich and ETH Zurich, Zurich, Switzerland.
Alessandro OriLeibniz Institute on Aging, Fritz Lipmann Institute (FLI), Beutenbergstrasse 11, 07745 Jena, Germany.
Murat IskarStructural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Ludovic GilletDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Ran BiDepartment of Clinical Pharmacology, College of Pharmacy, Dalian Medical University, Dalian, Liaoning, China.
Jiangnan ZhangDepartment of Clinical Pharmacology, College of Pharmacy, Dalian Medical University, Dalian, Liaoning, China.
Huanhuan ZhangKey Laboratory of Experimental Animal and Safety Evaluation, Zhejiang Academy of Medical Sciences, Hangzhou, Zhejiang, China.
Chenhuan YuKey Laboratory of Experimental Animal and Safety Evaluation, Zhejiang Academy of Medical Sciences, Hangzhou, Zhejiang, China.
Qing ZhongInstitute of Surgical Pathology, University Hospital Zurich, Zurich, Switzerland; Cancer Data Science Group, Children's Medical Research Institute, University of Sydney, Sydney, NSW, Australia.
Sudhir VarmaHiThru Analytics, Laurel, MD 20707, USA.
Uwe SchmittScientific IT Services, ETH Zurich, Zurich, Switzerland.
Peng QiuDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University, 313 Ferst Dr., Atlanta, GA 30332, USA.
Qiushi ZhangKey Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, P. R. China; Guomics Laboratory of Proteomic Big Data, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.
Yi ZhuKey Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, P. R. China; Guomics Laboratory of Proteomic Big Data, Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China; Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Peter J WildInstitute of Surgical Pathology, University Hospital Zurich, Zurich, Switzerland.
Mathew J GarnettSanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Peer BorkStructural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany; Molecular Medicine Partnership Unit, University of Heidelberg and European Molecular Biology Laboratory, 69120 Heidelberg, Germany; Max Delbrück Centre for Molecular Medicine, 13125 Berlin, Germany; Department of Bioinformatics, Biocenter, University of Würzburg, 97074 Würzburg, Germany.
Martin BeckStructural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany; Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Kexin LiuDepartment of Clinical Pharmacology, College of Pharmacy, Dalian Medical University, Dalian, Liaoning, China.
Julio Saez-RodriguezRWTH Aachen University, Faculty of Medicine, Joint Research Centre for Computational Biomedicine (JRC-COMBINE), Aachen, Germany.
Fathi ElloumiDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
William C ReinholdDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Chris SandercBio Center, Division of Biostatistics, Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.
Yves PommierDevelopmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. Electronic address: yves.pommier@nih.gov.
Ruedi AebersoldDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; Faculty of Science, University of Zurich, Zurich, Switzerland. Electronic address: aebersold@imsb.biol.ethz.ch.

Funding

Wellcome Trust 102696
6 · The paper itself

Abstract

Here we describe a proteomic data resource for the NCI-60 cell lines generated by pressure cycling technology and SWATH mass spectrometry. We developed the DIA-expert software to curate and visualize the SWATH data, leading to reproducible detection of over 3,100 SwissProt proteotypic proteins and systematic quantification of pathway activities. Stoichiometric relationships of interacting proteins for DNA replication, repair, the chromatin remodeling NuRD complex, β-catenin, RNA metabolism, and prefoldins are more evident than that at the mRNA level. The data are available in CellMiner (discover.nci.nih.gov/cellminercdb and discover.nci.nih.gov/cellminer), allowing casual users to test hypotheses and perform integrative, cross-database analyses of multi-omic drug response correlations for over 20,000 drugs. We demonstrate the value of proteome data in predicting drug response for over 240 clinically relevant chemotherapeutic and targeted therapies. In summary, we present a novel proteome resource for the NCI-60, together with relevant software tools, and demonstrate the benefit of proteome analyses.

Indexed as

Biological SciencesCancer Systems BiologyProteomicsSystems Biology

Identifiers

PMID31733513
PMCPMC6889472

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.