ArticleScience (New York, N.Y.)2013
Primate transcript and protein expression levels evolve under compensatory selection pressures.
Article in Science (New York, N.Y.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers, 1 of them a synthesis that pooled it.
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.
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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
153 citing papers in PubMed, 1 synthesis or guideline pooled it, 263 citations in OpenAlex.
- Risk alleles of genes with monoallelic expression are enriched in gain-of-function variants and depleted in loss-of-function variants for neurodevelopmental disorders.Molecular psychiatry · 2017Pooled it
- The IL18RAP region disease polymorphism decreases IL-18RAP/IL-18R1/IL-1R1 expression and signaling through innate receptor-initiated pathways.Journal of immunology (Baltimore, Md. : 1950) · 2014Trial
- Accelerated Evolution of Context-Dependent Gene Expression in Primate Immune Cells.bioRxiv : the preprint server for biology · 2026Article
- Genome-wide pQTL mapping in human skin identifies specific genetic regulators and mechanistic links to skin disorders.Nature communications · 2026Article
- A pre-trained large generative model for translating single-cell transcriptomes to proteomes.Nature biomedical engineering · 2026Article
- Addressing multiple facets of ligand-receptor network inference including single-cell proteomics.Nucleic acids research · 2026Article
- Quantitative system drift.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Post-Transcriptional Modification Integration for Ligand-Receptor Cellular Network Inference.Molecular & cellular proteomics : MCP · 2026Article
- PaxDb v6.0: reprocessed, LLM-selected, curated protein abundance data across organisms.Nucleic acids research · 2026Article
- Comparative analysis of m6A mRNA modification inFrontiers in genetics · 2026Article
- Genetic profiling of the circulating proteome in common diseases suggests causal proteins and improves risk prediction.Nature communications · 2025Article
- Identification and applications of disease-associated differential human and bacterial proteins with metaproteomic evidence.Health information science and systems · 2025Article
- The regulatory architecture of gene expression variation in Caenorhabditis elegans revealed by multi-strain allele-specific analysis.Genetics · 2025Article
- Comparative Analysis of Testicular Transcriptional and Translational Landscapes in Yak and Cattle-Yak: Implications for Hybrid Male Sterility.Biomolecules · 2025Article
- Switch-like gene expression modulates disease risk.Nature communications · 2025Article
- The regulatory architecture of gene expression variation inbioRxiv : the preprint server for biology · 2025Article
- Article
- Identification of microbial species and proteins associated with colorectal cancer by reanalyzing CPTAC proteomic datasets.Scientific reports · 2025Article
- Use of polyadenosine tail mimetics to enhance mRNA expression from genes associated with haploinsufficiency disorders.Molecular therapy. Nucleic acids · 2025Article
- Macroevolutionary divergence of gene expression driven by selection on protein abundance.Science (New York, N.Y.) · 2025Article
93 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Changes in gene regulation have likely played an important role in the evolution of primates. Differences in messenger RNA (mRNA) expression levels across primates have often been documented; however, it is not yet known to what extent measurements of divergence in mRNA levels reflect divergence in protein expression levels, which are probably more important in determining phenotypic differences. We used high-resolution, quantitative mass spectrometry to collect protein expression measurements from human, chimpanzee, and rhesus macaque lymphoblastoid cell lines and compared them to transcript expression data from the same samples. We found dozens of genes with significant expression differences between species at the mRNA level yet little or no difference in protein expression. Overall, our data suggest that protein expression levels evolve under stronger evolutionary constraint than mRNA levels.
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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.