Evidence map›Paper›PMID 32240723›Full record

ArticleGenomics2020

Shared distal regulatory regions may contribute to the coordinated expression of human ribosomal protein genes.

Saidi Wang, Haiyan Hu, Xiaoman Li

Open access · greenAbstract read
In one paragraph

Article in Genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
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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

3 authors at 1 institution in 1 country.

Saidi WangDepartment of Computer Science, University of Central Florida, Orlando, FL, 32816, USA. Electronic address: tjwangsaidi@knights.ucf.edu.
Haiyan HuDepartment of Computer Science, University of Central Florida, Orlando, FL, 32816, USA. Electronic address: haihu@cs.ucf.edu.
Xiaoman LiBurnett School of Biomedical Science, School of Medicine, University of Central Florida, Orlando, FL, 32816, USA. Electronic address: xiaoman@mail.ucf.edu.
University of Central Florida · US

Funding

Bacterial haplotype reconstruction directly from next generation sequencing readsR15GM123407 · NIGMS · UNIVERSITY OF CENTRAL FLORIDA · PI LI, XIAOMAN · 2017 to 2017
$371k
NIGMS NIH HHS R15 GM123407
6 · The paper itself

Abstract

To identify the potential distal regulatory regions of human ribosomal protein genes (RPGs) and to understand their characteristics, we studied the chromatin interactions in seven cell lines and four primary cell types. We identified 22,797 putative regulatory regions that directly or indirectly interact with human RPG promoters. A large proportion of these regions are only present in one cell line or one cell type, implying that RPGs may be differentially regulated across experimental conditions. We also noticed that groups of RPGs, which are the same groups across cell lines and cell types, share common regulatory regions. These shared regulatory regions by RPGs may contribute to their coordinated regulation. By studying the overrepresented motifs in the identified regulatory regions, we showed that there are about two dozen motifs in these regions shared across cell lines and cell types. Our study shed new light on the coordinated transcriptional regulation of human RPGs.

Indexed as

Regulatory Elements, TranscriptionalCell LineGene Expression RegulationHumansNucleotide MotifsRibosomal ProteinsRibosomal ProteinsChromatin interactionCoordinated expressionDistal regulatory regionsRibosomal protein genes

Identifiers

PMID32240723
PMCPMC7217726
OpenAlexW3014963173

What OpenQuestion holds

Textmetadata
LicenceTDM
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.