Evidence map›Paper›PMID 26297486›Full record

ArticleGenome research2015

Integrative analysis of RNA, translation, and protein levels reveals distinct regulatory variation across humans.

Can Cenik, Elif Sarinay Cenik, Gun W Byeon, Fabian Grubert, Sophie I Candille, Damek Spacek, Bilal Alsallakh, Hagen Tilgner, Carlos L Araya, Hua Tang and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

136 citing papers in PubMed, 227 citations in OpenAlex.

  1. Article
  2. Estimating protein isoform abundances with [Formula: see text].Proceedings of the National Academy of Sciences of the United States of America · 2026
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  12. METTL16-mBMC biology · 2026
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  16. Analysis of MSX1, RYK, NFκB p65, and CCL4 Proteins andInternational journal of molecular sciences · 2025
    Article
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  19. Article
  20. Landscape and regulation of mRNA translation in the earlybioRxiv : the preprint server for biology · 2025
    Article

76 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 3 countries.

Can CenikDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Elif Sarinay CenikDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Gun W ByeonDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Fabian GrubertDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Sophie I CandilleDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Damek SpacekDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Bilal AlsallakhInstitute of Software Technology and Interactive Systems, Vienna University of Technology, A-140 Vienna, Austria;
Hagen TilgnerDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Carlos L ArayaDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Hua TangDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Emiliano RicciRNA Therapeutics Institute, University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA; CIRI, International Center for Infectiology Research, Eukaryotic and Viral Translation Team, Université de Lyon, INSERM U1111, Lyon, 69634, France.
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Stanford University · USTU Wien · ATUniversité Claude Bernard Lyon 1 · FR

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Production Center for Mapping Regulatory Regions of the Human GenomeU54HG006996 · NHGRI · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2012 to 2016
$14.6M
Stanford Center for Clinical and Translational Education and Research (SCCTER)UL1UL1TR000093 · NCATS · STANFORD UNIVERSITY · PI GREENBERG, HARRY BERNARD · 2012 to 2013
$6.5M
Integrative Omics as a Discovery Tool for Pulmonary HypertensionR01HL122887 · NHLBI · STANFORD UNIVERSITY · PI NICOLLS, MARK ROBERT, RABINOVITCH, MARLENE · 2015 to 2018
$4.1M
Genetic Architecture of Complex Traits in Admixed PopulationsR01GM073059 · NIGMS · STANFORD UNIVERSITY · PI TANG, HUA · 2005 to 2016
$2.4M
Genotype-Tissue-Protein: proteomic variation and quantitative trait loci (pQTL)U01HG007611 · NHGRI · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P., TANG, HUA · 2014 to 2014
$1.7M
NCATS NIH HHS UL1 TR000093NCATS NIH HHS UL1TR000093NCATS NIH HHS UL1 TR001085NHGRI NIH HHS 1U01HG00761101NHGRI NIH HHS HG006996NHGRI NIH HHS HG007611NHGRI NIH HHS T32 HG000044NHGRI NIH HHS U01 HG007611NHGRI NIH HHS U54 HG006996NHLBI NIH HHS R01 HL122887NIGMS NIH HHS GM07305907NIGMS NIH HHS R01 GM073059
6 · The paper itself

Abstract

Elucidating the consequences of genetic differences between humans is essential for understanding phenotypic diversity and personalized medicine. Although variation in RNA levels, transcription factor binding, and chromatin have been explored, little is known about global variation in translation and its genetic determinants. We used ribosome profiling, RNA sequencing, and mass spectrometry to perform an integrated analysis in lymphoblastoid cell lines from a diverse group of individuals. We find significant differences in RNA, translation, and protein levels suggesting diverse mechanisms of personalized gene expression control. Combined analysis of RNA expression and ribosome occupancy improves the identification of individual protein level differences. Finally, we identify genetic differences that specifically modulate ribosome occupancy--many of these differences lie close to start codons and upstream ORFs. Our results reveal a new level of gene expression variation among humans and indicate that genetic variants can cause changes in protein levels through effects on translation.

Indexed as

Polymorphism, Single NucleotideProtein BiosynthesisChromatinGene Expression ProfilingGene Expression RegulationHumansProteomicsQuantitative Trait LociRibosomesRNARNA, MessengerSequence AlignmentSequence Analysis, RNAChromatinRNARNA, Messenger

Identifiers

PMID26297486
PMCPMC4617958
OpenAlexW1906706885

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.