ArticleScientific data2022
Proteomic overview of hepatocellular carcinoma cell lines and generation of the spectral library.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application and prospect analysis of chimeric antigen receptor T-cell therapy in hepatocellular carcinoma treatment: a systematic review and meta-analysis.Frontiers in immunology · 2025Pooled it
- Proteome-guided drug discovery maps and mitigates therapeutic degrader toxicity.Nature chemical biology · 2026Article
- Azvudine Suppresses Epithelial-Mesenchymal Transition in Hepatocellular Carcinoma by Targeting the Notch-HEY Signalling Pathway.International journal of molecular sciences · 2025Article
- Integration of proteomics profiling data to facilitate discovery of cancer neoantigens: a survey.Briefings in bioinformatics · 2025Review
- Comprehensive Mass Spectral Libraries of Human Thyroid Tissues and Cells.Scientific data · 2024Article
- Proteomic overview of hepatocellular carcinoma cell lines and generation of the spectral library.Scientific data · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell lines are extensively used tools, therefore a comprehensive proteomic overview of hepatocellular carcinoma (HCC) cell lines and an extensive spectral library for data independent acquisition (DIA) quantification are necessary. Here, we present the proteome of nine commonly used HCC cell lines covering 9,208 protein groups, and the HCC spectral library containing 253,921 precursors, 168,811 peptides and 10,098 protein groups. The proteomic overview reveals the heterogeneity between different cell lines, and the similarity in proliferation and metastasis characteristics and drug targets-expression with tumour tissues. The HCC spectral library generating consumed 108 hours' runtime for data dependent acquisition (DDA) of 48 runs, 24 hours' runtime for database searching by MaxQuant version 2.0.3.0, and 1 hour' runtime for processing by Spectronaut
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Registered trials
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