Evidence map›Paper›PMID 30668832›Full record

ArticleBioinformatics (Oxford, England)2019

DASHR 2.0: integrated database of human small non-coding RNA genes and mature products.

Pavel P Kuksa, Alexandre Amlie-Wolf, Živadin Katanić, Otto Valladares, Li-San Wang, Yuk Yee Leung

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

35 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Article
  3. Leveraging Foundation Models for the Characterization of Small-RNA Properties.Computational and structural biotechnology journal · 2026
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  15. Genes · 2021
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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

6 authors at 1 institution in 2 countries.

Pavel P KuksaPenn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine.
Alexandre Amlie-WolfPenn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine.
Živadin KatanićPenn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine.
Otto ValladaresPenn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine.
Li-San WangPenn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine.
Yuk Yee LeungPenn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine.
Genomics (United Kingdom) · GB

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
Genome Center for Alzheimer's Disease (GCAD)U54AG052427 · NIA · UNIVERSITY OF PENNSYLVANIA · PI SCHELLENBERG, GERARD DAVID, WANG, LI-SAN · 2016 to 2025
$32.8M
Consortium for Alzheimers Sequence Analysis (CASA)UF1AG047133 · NIA · UNIVERSITY OF PENNSYLVANIA · PI FARRER, LINDSAY A., HAINES, JONATHAN L · 2014 to 2014
$12.6M
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 U24 AG041689NIA NIH HHS U54 AG052427NIA NIH HHS UF1 AG047133NIGMS NIH HHS R01 GM099962
6 · The paper itself

Abstract

motivationSmall non-coding RNAs (sncRNAs, <100 nts) are highly abundant RNAs that regulate diverse and often tissue-specific cellular processes by associating with transcription factor complexes or binding to mRNAs. While thousands of sncRNA genes exist in the human genome, no single resource provides searchable, unified annotation, expression and processing information for full sncRNA transcripts and mature RNA products derived from these larger RNAs.

resultsOur goal is to establish a complete catalog of annotation, expression, processing, conservation, tissue-specificity and other biological features for all human sncRNA genes and mature products derived from all major RNA classes. DASHR (Database of small human non-coding RNAs) v2.0 database is the first that integrates human sncRNA gene and mature products profiles obtained from multiple RNA-seq protocols. Altogether, 185 tissues/cell types and sncRNA annotations and >800 curated experiments from ENCODE and GEO/SRA across multiple RNA-seq protocols for both GRCh38/hg38 and GRCh37/hg19 assemblies are integrated in DASHR. Moreover, DASHR is the first to contain both known and novel, previously un-annotated sncRNA loci identified by unsupervised segmentation (13 times more loci with 1 678 800 total). Additionally, DASHR v2.0 adds >3 200 000 annotations for non-small RNA genes and other genomic features (long-noncoding RNAs, mRNAs, promoters, repeats). Furthermore, DASHR v2.0 introduces an enhanced user interface, interactive experiment-by-locus table view, sncRNA locus sorting and filtering by biological features. All annotation and expression information directly downloadable and accessible as UCSC genome browser tracks. AVAILABILITY AND IMPLEMENTATION: DASHR v2.0 is freely available at https://lisanwanglab.org/DASHRv2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Databases, Nucleic AcidGenomicsHumansRNA, Long NoncodingRNA, Small UntranslatedSequence Analysis, RNASoftwareRNA, Long NoncodingRNA, Small Untranslated

Identifiers

PMID30668832
PMCPMC6419920
OpenAlexW2888576209

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.