Evidence map›Paper›PMID 34949670›Full record

ArticleGenome research2022

Integration of high-resolution promoter profiling assays reveals novel, cell type-specific transcription start sites across 115 human cell and tissue types.

Jill E Moore, Xiao-Ou Zhang, Shaimae I Elhajjajy, Kaili Fan, Henry E Pratt, Fairlie Reese, Ali Mortazavi, Zhiping Weng

Abstract read
In one paragraph

Article in Genome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. DiabetesOmic: A comprehensive multi-omics diabetes database.Computational and structural biotechnology journal · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
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

8 authors.

Jill E MooreProgram in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01605, USA.ORCID 0000-0002-3023-0806
Xiao-Ou ZhangProgram in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01605, USA.ORCID 0000-0002-2027-1313
Shaimae I ElhajjajyProgram in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01605, USA.ORCID 0000-0002-7497-5519
Kaili FanProgram in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01605, USA.ORCID 0000-0002-8723-7902
Henry E PrattProgram in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01605, USA.ORCID 0000-0001-9413-834X
Fairlie ReeseDepartment of Developmental and Cell Biology, University of California Irvine, Irvine, California 92697, USA.ORCID 0000-0002-9240-0102
Ali MortazaviDepartment of Developmental and Cell Biology, University of California Irvine, Irvine, California 92697, USA.ORCID 0000-0002-4259-6362
Zhiping WengProgram in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01605, USA.ORCID 0000-0002-3032-7966

Funding

Higher Precision Human and Mouse TranscriptomesUM1HG009443 · NHGRI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI MORTAZAVI, SEYED ALI, WOLD, BARBARA J · 2017 to 2021
$15.5M
EDAC: ENCODE Data Analysis CenterU24HG009446 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GERSTEIN, MARK BENDER, WENG, ZHIPING · 2017 to 2022
$10.4M
NHGRI NIH HHS U24 HG009446NHGRI NIH HHS UM1 HG009443
6 · The paper itself

Abstract

Accurate transcription start site (TSS) annotations are essential for understanding transcriptional regulation and its role in human disease. Gene collections such as GENCODE contain annotations for tens of thousands of TSSs, but not all of these annotations are experimentally validated nor do they contain information on cell type-specific usage. Therefore, we sought to generate a collection of experimentally validated TSSs by integrating RNA Annotation and Mapping of Promoters for the Analysis of Gene Expression (RAMPAGE) data from 115 cell and tissue types, which resulted in a collection of approximately 50 thousand representative RAMPAGE peaks. These peaks are primarily proximal to GENCODE-annotated TSSs and are concordant with other transcription assays. Because RAMPAGE uses paired-end reads, we were then able to connect peaks to transcripts by analyzing the genomic positions of the 3' ends of read mates. Using this paired-end information, we classified the vast majority (37 thousand) of our RAMPAGE peaks as verified TSSs, updating TSS annotations for 20% of GENCODE genes. We also found that these updated TSS annotations are supported by epigenomic and other transcriptomic data sets. To show the utility of this RAMPAGE rPeak collection, we intersected it with the NHGRI/EBI genome-wide association study (GWAS) catalog and identified new candidate GWAS genes. Overall, our work shows the importance of integrating experimental data to further refine TSS annotations and provides a valuable resource for the biological community.

Indexed as

Gene Expression RegulationGenome-Wide Association StudyHumansPromoter Regions, GeneticTranscription Initiation Site

Identifiers

PMID34949670
PMCPMC8805725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.