Evidence map›Paper›PMID 26553799›Full record

ArticleNucleic acids research2016

DASHR: database of small human noncoding RNAs.

Yuk Yee Leung, Pavel P Kuksa, Alexandre Amlie-Wolf, Otto Valladares, Lyle H Ungar, Sampath Kannan, Brian D Gregory, Li-San Wang

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

53 citing papers in PubMed, 91 citations in OpenAlex.

  1. Article
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  6. Non-Coding RNAs in Breast Cancer: Diagnostic and Therapeutic Implications.International journal of molecular sciences · 2024
    Review
  7. Article
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  13. Article
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  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. piRNAs as Modulators of Disease Pathogenesis.International journal of molecular sciences · 2021
    Review
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 at 3 institutions in 1 country.

Yuk Yee LeungDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA Penn Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Pavel P KuksaDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA Penn Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Alexandre Amlie-WolfDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA Genomics and Computational Biology Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA.
Otto ValladaresDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Lyle H UngarPenn Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA Genomics and Computational Biology Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
Sampath KannanPenn Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
Brian D GregoryGenomics and Computational Biology Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA bdgregor@sas.upenn.edu.
Li-San WangDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA Penn Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA Genomics and Computational Biology Graduate Group, University of Pennsylvania, Philadelphia, PA 19104, USA Institute on Aging, University of Pennsylvania, Philadelphia, PA 19104, USA lswang@mail.med.upenn.edu.
University of Pennsylvania · USPenn Center for AIDS Research · USInstitute on Aging · US

Funding

Alzheimer's Disease Genetics ConsortiumU01AG032984 · NIA · UNIVERSITY OF PENNSYLVANIA · PI SCHELLENBERG, GERARD DAVID · 2009 to 2024
$60.4M
THE NIA GENETICS OF ALZHEIMER'S DISEASE DATA STORAGE SITEU24AG041689 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LI-SAN WANG · 2012 to 2026
$42.3M
Training in Alzheimer’s and Age-Related Neurodegenerative DiseasesT32AG000255 · NIA · UNIVERSITY OF PENNSYLVANIA · PI ALICE S CHEN-PLOTKIN, VIRGINIA M LEE · 1997 to 2026
$12.5M
Computational genome-wide RNA profiling using next-generation sequencingR01GM099962 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI WANG, LI-SAN · 2012 to 2016
$1.5M
NIA NIH HHS T32 AG000255NIA NIH HHS U01 AG032984NIA NIH HHS U01-AG032984NIA NIH HHS U24 AG041689NIA NIH HHS U24-AG041689NIGMS NIH HHS R01 GM099962NIGMS NIH HHS R01-GM099962
6 · The paper itself

Abstract

Small non-coding RNAs (sncRNAs) are highly abundant RNAs, typically <100 nucleotides long, that act as key regulators of diverse cellular processes. Although thousands of sncRNA genes are known to exist in the human genome, no single database provides searchable, unified annotation, and expression information for full sncRNA transcripts and mature RNA products derived from these larger RNAs. Here, we present the Database of small human noncoding RNAs (DASHR). DASHR contains the most comprehensive information to date on human sncRNA genes and mature sncRNA products. DASHR provides a simple user interface for researchers to view sequence and secondary structure, compare expression levels, and evidence of specific processing across all sncRNA genes and mature sncRNA products in various human tissues. DASHR annotation and expression data covers all major classes of sncRNAs including microRNAs (miRNAs), Piwi-interacting (piRNAs), small nuclear, nucleolar, cytoplasmic (sn-, sno-, scRNAs, respectively), transfer (tRNAs), and ribosomal RNAs (rRNAs). Currently, DASHR (v1.0) integrates 187 smRNA high-throughput sequencing (smRNA-seq) datasets with over 2.5 billion reads and annotation data from multiple public sources. DASHR contains annotations for ∼ 48,000 human sncRNA genes and mature sncRNA products, 82% of which are expressed in one or more of the curated tissues. DASHR is available at http://lisanwanglab.org/DASHR.

Indexed as

Databases, Nucleic AcidHumansMolecular Sequence AnnotationRNA Processing, Post-TranscriptionalRNA, Small UntranslatedRNA, Small Untranslated

Identifiers

PMID26553799
PMCPMC4702848
OpenAlexW2172932999

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.