ArticleNAR genomics and bioinformatics2020
Global variability analysis of mRNA and protein concentrations across and within human tissues.
Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
What it found
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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.
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Who cites it
49 citing papers in PubMed, 99 citations in OpenAlex.
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- Expression and function of CYP enzymes and hepatobiliary transporters in an improved long-term sandwich culture hepatocyte model.Scientific reports · 2026Article
- NKAIN1 expression relates to the immune evasion and prognosis of gastric cancer.Scientific reports · 2025Article
- Proteomic and morphologic characterization of ovine macrophage differentiation and polarization.Scientific reports · 2025Article
- Integrative Omics and AI-Driven Systems Biology: Multilayer Networks DecodingJournal of proteome research · 2025Review
- PLCXD2 expression relates to the immune microenvironment and prognosis of head and neck squamous cell carcinoma: a retrospective cohort study.Translational cancer research · 2025Article
- Astrocyte alterations and dysfunction in alcohol use disorder: A comprehensive scoping review of clinical postmortem and preclinical evidence.Progress in neuro-psychopharmacology & biological psychiatry · 2025Article
- Neural xenografts contribute to long-term recovery in stroke via molecular graft-host crosstalk.Nature communications · 2025Article
- Investigating cocaine- and abstinence-induced effects on astrocyte gene expression in the nucleus accumbens.bioRxiv : the preprint server for biology · 2025Article
- Quantifying the Evolution of SNPs That Affect RNA Secondary Structure in Arabidopsis thaliana Genes.Molecular biology and evolution · 2025Article
- A Patient-Derived 3D Cyst Model of Polycystic Kidney Disease That Mimics Disease Development and Responds to Repurposing Candidates.Clinical and translational science · 2025Article
- The Influence of AQP5 on the Response to Hydrogen Peroxide in Breast Cancer Cell Lines.International journal of molecular sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genes and proteins show variable expression patterns throughout the human body. However, it is not clear whether relative differences in mRNA concentrations are retained on the protein level. Furthermore, inter-individual protein concentration variability within single tissue types has not been comprehensively explored. Here, we used the Gini index for in-depth concentration variability analysis of publicly available transcriptomics and proteomics data, and of an in-house proteomics dataset of human liver and jejunum from 38 donors. We found that the transfer of concentration variability from mRNA to protein is limited, that established 'reference genes' for data normalization vary markedly at the protein level, that protein concentrations cover a wide variability spectrum within single tissue types, and that concentration variability analysis can be a convenient starting point for identifying disease-associated proteins and novel biomarkers. Our results emphasize the importance of considering individual concentration levels, as opposed to population averages, for personalized systems biology analysis.
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.