ArticleGenome medicine2012
Comprehensive analysis of the genome transcriptome and proteome landscapes of three tumor cell lines.
Article in Genome medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed, 47 citations in OpenAlex.
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- Haplotype-resolved assemblies of the MHC region in five widely used tumor cell lines.Genes & diseases · 2025Article
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- Proteomics: Unraveling the Cross Talk Between Innate Immunity and Disease Pathophysiology, Diagnostics, and Treatment Options.Advances in experimental medicine and biology · 2024Review
- Feasibility of mass cytometry proteomic characterisation of circulating tumour cells in head and neck squamous cell carcinoma for deep phenotyping.British journal of cancer · 2023Article
- Mutational spectrum of ATRX aberrations in neuroblastoma and associated patient and tumor characteristics.Cancer science · 2022Article
- Experimental investigation of a combinational iron chelating protoporphyrin IX prodrug for fluorescence detection and photodynamic therapy.Lasers in medical science · 2022Article
- Folate Deficiency Triggers the Abnormal Segregation of a Region With Large Cluster of CG-Rich Trinucleotide Repeats on Human Chromosome 2.Frontiers in genetics · 2021Article
- Heterogeneous glutamatergic receptor mRNA expression across phrenic motor neurons in rats.Journal of neurochemistry · 2020Article
- Computational Analysis Concerning the Impact of DNA Accessibility on CRISPR-Cas9 Cleavage Efficiency.Molecular therapy : the journal of the American Society of Gene Therapy · 2020Article
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- MUDENG Expression Profiling in Cohorts and Brain Tumor Biospecimens to Evaluate Its Role in Cancer.Frontiers in genetics · 2019Article
- Multiscale, multimodal analysis of tumor heterogeneity in IDH1 mutant vs wild-type diffuse gliomas.PloS one · 2019Article
- CRISPR-Sirius: RNA scaffolds for signal amplification in genome imaging.Nature methods · 2018Article
- EviNet: a web platform for network enrichment analysis with flexible definition of gene sets.Nucleic acids research · 2018Article
- Discovery of coding regions in the human genome by integrated proteogenomics analysis workflow.Nature communications · 2018Article
- Novel protein signatures suggest progression to muscular invasiveness in bladder cancer.PloS one · 2018Article
- Inherited DNA lesions determine G1 duration in the next cell cycle.Cell cycle (Georgetown, Tex.) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We here present a comparative genome, transcriptome and functional network analysis of three human cancer cell lines (A431, U251MG and U2OS), and investigate their relation to protein expression. Gene copy numbers significantly influenced corresponding transcript levels; their effect on protein levels was less pronounced. We focused on genes with altered mRNA and/or protein levels to identify those active in tumor maintenance. We provide comprehensive information for the three genomes and demonstrate the advantage of integrative analysis for identifying tumor-related genes amidst numerous background mutations by relating genomic variation to expression/protein abundance data and use gene networks to reveal implicated pathways.
Identifiers
What Socratic 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 Socratic graph.