ArticleiScience2019
Quantitative Proteome Landscape of the NCI-60 Cancer Cell Lines.
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.
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.
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.
Who cites it
32 citing papers in PubMed.
- Integrated multi-dimensional comparison of proteomic profiles across 54 cancer cell lines.iScience · 2025Article
- 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 · 2025Article
- Receptor-binding proteins from animal viruses are broadly compatible with human cell entry factors.Nature microbiology · 2025Article
- iDIA-QC: AI-empowered data-independent acquisition mass spectrometry-based quality control.Nature communications · 2025Article
- Cilengitide sensitivity is predicted by overall integrin expression in breast cancer.Breast cancer research : BCR · 2024Article
- AI-empowered perturbation proteomics for complex biological systems.Cell genomics · 2024Article
- Proteome-wide copy-number estimation from transcriptomics.Molecular systems biology · 2024Article
- B Cell Lymphocytes as a Potential Source of Breast Carcinoma Marker Candidates.International journal of molecular sciences · 2024Article
- Multiplexed quantitative proteomics in prostate cancer biomarker development.Advances in cancer research · 2024Review
- Histone methyltransferase activity affects metabolism in human cells independently of transcriptional regulation.PLoS biology · 2023Article
- CellMinerCDB: NCATS Is a Web-Based Portal Integrating Public Cancer Cell Line Databases for Pharmacogenomic Explorations.Cancer research · 2023Article
- Single-cell proteo-genomic reveals a comprehensive map of centrosome-associated spliceosome components.iScience · 2023Article
- Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics.Nature communications · 2023Article
- Article
- Identifying the genes impacted by cell proliferation in proteomics and transcriptomics studies.PLoS computational biology · 2022Article
- Experimental reproducibility limits the correlation between mRNA and protein abundances in tumor proteomic profiles.Cell reports methods · 2022Article
- Saturation of the mitochondrial NADH shuttles drives aerobic glycolysis in proliferating cells.Molecular cell · 2022Article
- Pan-cancer proteomic map of 949 human cell lines.Cancer cell · 2022Article
- Reducing Peptide Sequence Bias in Quantitative Mass Spectrometry Data with Machine Learning.Journal of proteome research · 2022Article
- Implementing the reuse of public DIA proteomics datasets: from the PRIDE database to Expression Atlas.Scientific data · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
39 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.