Evidence map›Paper›PMID 27047535›Full record

ArticleFrontiers in genetics2016

Global Intersection of Long Non-Coding RNAs with Processed and Unprocessed Pseudogenes in the Human Genome.

Michael J Milligan, Erin Harvey, Albert Yu, Ashleigh L Morgan, Daniela L Smith, Eden Zhang, Jonathan Berengut, Jothini Sivananthan, Radhini Subramaniam, Aleksandra Skoric and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

21 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Computational Methods for Pseudogene Annotation Based on Sequence Homology.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  11. Article
  12. Article
  13. Pseudogenes in Cardiovascular Disease.Frontiers in molecular biosciences · 2020
    Review
  14. Article
  15. High Expression ofDisease markers · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Classification and function of small open reading frames.Nature reviews. Molecular cell biology · 2017
    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

14 authors at 2 institutions in 2 countries.

Michael J MilliganCenter for Molecular Medicine and Genetics, Wayne State University Detroit, MI, USA.
Erin HarveyDepartment of Biotechnology and Biomedical Sciences, The University of New South Wales Sydney, NSW, Australia.
Albert YuDepartment of Biotechnology and Biomedical Sciences, The University of New South Wales Sydney, NSW, Australia.
Ashleigh L MorganDepartment of Biotechnology and Biomedical Sciences, The University of New South Wales Sydney, NSW, Australia.
Daniela L SmithDepartment of Biotechnology and Biomedical Sciences, The University of New South Wales Sydney, NSW, Australia.
Eden ZhangDepartment of Biotechnology and Biomedical Sciences, The University of New South Wales Sydney, NSW, Australia.
Jonathan BerengutDepartment of Biotechnology and Biomedical Sciences, The University of New South Wales Sydney, NSW, Australia.
Jothini SivananthanDepartment of Biotechnology and Biomedical Sciences, The University of New South Wales Sydney, NSW, Australia.
Radhini SubramaniamDepartment of Biotechnology and Biomedical Sciences, The University of New South Wales Sydney, NSW, Australia.
Aleksandra SkoricDepartment of Biotechnology and Biomedical Sciences, The University of New South Wales Sydney, NSW, Australia.
Scott CollinsDepartment of Biotechnology and Biomedical Sciences, The University of New South Wales Sydney, NSW, Australia.
Caio DamskiDepartment of Biotechnology and Biomedical Sciences, The University of New South Wales Sydney, NSW, Australia.
Kevin V MorrisDepartment of Biotechnology and Biomedical Sciences, The University of New South Wales Sydney, NSW, Australia.
Leonard LipovichCenter for Molecular Medicine and Genetics, Wayne State University Detroit, MI, USA.
UNSW Sydney · AUWayne State University · US

Funding

Targeted inhibition of HIV-1 latencyR01AI111139 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI MORRIS, KEVIN V · 2014 to 2018
$2.7M
Life, Death, and Function: The Primate-Specific Long Non-Coding RNA TranscriptomeDP2CA196375 · NCI · WAYNE STATE UNIVERSITY · PI LIPOVICH, LEONARD · 2014 to 2014
$2.3M
NCI NIH HHS DP2 CA196375NIAID NIH HHS R01 AI111139
6 · The paper itself

Abstract

Pseudogenes are abundant in the human genome and had long been thought of purely as nonfunctional gene fossils. Recent observations point to a role for pseudogenes in regulating genes transcriptionally and post-transcriptionally in human cells. To computationally interrogate the network space of integrated pseudogene and long non-coding RNA regulation in the human transcriptome, we developed and implemented an algorithm to identify all long non-coding RNA (lncRNA) transcripts that overlap the genomic spans, and specifically the exons, of any human pseudogenes in either sense or antisense orientation. As inputs to our algorithm, we imported three public repositories of pseudogenes: GENCODE v17 (processed and unprocessed, Ensembl 72); Retroposed Pseudogenes V5 (processed only), and Yale Pseudo60 (processed and unprocessed, Ensembl 60); two public lncRNA catalogs: Broad Institute, GENCODE v17; NCBI annotated piRNAs; and NHGRI clinical variants. The data sets were retrieved from the UCSC Genome Database using the UCSC Table Browser. We identified 2277 loci containing exon-to-exon overlaps between pseudogenes, both processed and unprocessed, and long non-coding RNA genes. Of these loci we identified 1167 with Genbank EST and full-length cDNA support providing direct evidence of transcription on one or both strands with exon-to-exon overlaps. The analysis converged on 313 pseudogene-lncRNA exon-to-exon overlaps that were bidirectionally supported by both full-length cDNAs and ESTs. In the process of identifying transcribed pseudogenes, we generated a comprehensive, positionally non-redundant encyclopedia of human pseudogenes, drawing upon multiple, and formerly disparate public pseudogene repositories. Collectively, these observations suggest that pseudogenes are pervasively transcribed on both strands and are common drivers of gene regulation.

Indexed as

ESTs (expressed sequence tags)gene expressionhuman diseaselncRNA (long non-coding RNA)piRNApseudogenesSNPs (single nucleotide polymorphisms)transcriptome

Identifiers

PMID27047535
PMCPMC4805607
OpenAlexW2326936938

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.