ArticleNature biotechnology2019
Multi-omic measurements of heterogeneity in HeLa cells across laboratories.
Article in Nature biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 193 papers, 3 of them syntheses that pooled it.
What it found
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Who cites it
193 citing papers in PubMed, 3 syntheses or guidelines pooled it, 362 citations in OpenAlex.
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- Comprehensive Integration of Genome-Wide Association and Gene Expression Studies Reveals Novel Gene Signatures and Potential Therapeutic Targets forFrontiers in immunology · 2021Pooled it
- Identification of key genes in osteosarcoma by meta‑analysis of gene expression microarray.Molecular medicine reports · 2019Pooled it
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- A medium throughput approach for single cell copy number variation sequencing towards efficient application in clinics.Journal of advanced research · 2026Article
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- Molecular links between reelin downregulation, topoisomerase IIβ alterations, and proteins involved in Alzheimer pathology in human SH-SY5Y neuroblastoma cell line.Experimental brain research · 2026Article
- Genomic Variability of the HCT116 Cell Line Identified Using Oxford Nanopore Sequencing.International journal of molecular sciences · 2026Article
- Eradication of Mycoplasma contamination in HeLa cells using neomycin resistance gene introduction and aminoglycoside G418 (Geneticin) treatment.Scientific reports · 2026Article
- From Genes to Proteins: The Indispensable Role of Proteogenomics in Advancing Clear Cell Renal Cell Carcinoma Research.International journal of molecular sciences · 2026Review
- A versatile and GMP-compliant bead-based IFN-γ potency assay for standardized quality control and release testing of CAR-T cell drug products.International journal of pharmaceutics: X · 2026Article
- A tissue-specific atlas of protein-protein associations enables prioritization of candidate disease genes.Nature biotechnology · 2026Article
- LysG-driven transcriptional network rewiring underlies lineage-specific phenotypes in Mycobacterium tuberculosis.Nature communications · 2026Article
- Cell Calcification Models and Their Implications for Medicine and Biomaterial Research.Advanced healthcare materials · 2026Review
- Detecting foldback artifacts in long-reads.BMC genomics · 2026Article
- Long-term cultivation shifts transcriptomic profile of HCT-116 cells.microPublication biology · 2026Article
- Micrometastasis-derived models enable drug testing for early-stage, high-risk melanoma patients.EMBO molecular medicine · 2026Article
133 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors at 11 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Reproducibility in research can be compromised by both biological and technical variation, but most of the focus is on removing the latter. Here we investigate the effects of biological variation in HeLa cell lines using a systems-wide approach. We determine the degree of molecular and phenotypic variability across 14 stock HeLa samples from 13 international laboratories. We cultured cells in uniform conditions and profiled genome-wide copy numbers, mRNAs, proteins and protein turnover rates in each cell line. We discovered substantial heterogeneity between HeLa variants, especially between lines of the CCL2 and Kyoto varieties, and observed progressive divergence within a specific cell line over 50 successive passages. Genomic variability has a complex, nonlinear effect on transcriptome, proteome and protein turnover profiles, and proteotype patterns explain the varying phenotypic response of different cell lines to Salmonella infection. These findings have implications for the interpretation and reproducibility of research results obtained from human cultured cells.
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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.