Evidence map›Paper›PMID 34570238›Full record

ArticleNucleic acids research2022

miRNATissueAtlas2: an update to the human miRNA tissue atlas.

Andreas Keller, Laura Gröger, Thomas Tschernig, Jeffrey Solomon, Omar Laham, Nicholas Schaum, Viktoria Wagner, Fabian Kern, Georges Pierre Schmartz, Yongping Li and 6 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 1 pooled it
–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

96 citing papers in PubMed, 1 synthesis or guideline pooled it.

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36 more citing papers are in PubMed but not listed here.

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

16 authors.

Andreas KellerClinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.ORCID 0000-0002-5361-0895
Laura GrögerCenter for Human and Molecular Biology, Junior Research Group Human Genetics, Saarland University, 66421 Homburg, Germany.
Thomas TschernigInstitute for Anatomy, Saarland University, 66421 Homburg, Germany.
Jeffrey SolomonClinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Omar LahamClinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Nicholas SchaumDepartment of Neurology and Neurobiology, Stanford University, CA 94305, USA.
Viktoria WagnerClinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Fabian KernClinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.ORCID 0000-0002-8223-3750
Georges Pierre SchmartzClinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Yongping LiClinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Adam BorcherdingComplete Genomics Inc, San Jose, CA 95134, USA.
Carola MeierInstitute for Anatomy, Saarland University, 66421 Homburg, Germany.
Tony Wyss-CorayDepartment of Neurology and Neurobiology, Stanford University, CA 94305, USA.
Eckart MeeseDepartment of Human Genetics, Saarland University, 66421 Homburg, Germany.
Tobias FehlmannClinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.ORCID 0000-0003-1967-2918
Nicole LudwigCenter for Human and Molecular Biology, Junior Research Group Human Genetics, Saarland University, 66421 Homburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small non-coding RNAs (sncRNAs) are pervasive regulators of physiological and pathological processes. We previously developed the human miRNA Tissue Atlas, detailing the expression of miRNAs across organs in the human body. Here, we present an updated resource containing sequencing data of 188 tissue samples comprising 21 organ types retrieved from six humans. Sampling the organs from the same bodies minimizes intra-individual variability and facilitates the making of a precise high-resolution body map of the non-coding transcriptome. The data allow shedding light on the organ- and organ system-specificity of piwi-interacting RNAs (piRNAs), transfer RNAs (tRNAs), microRNAs (miRNAs) and other non-coding RNAs. As use case of our resource, we describe the identification of highly specific ncRNAs in different organs. The update also contains 58 samples from six tissues of the Tabula Muris collection, allowing to check if the tissue specificity is evolutionary conserved between Homo sapiens and Mus musculus. The updated resource of 87 252 non-coding RNAs from nine non-coding RNA classes for all organs and organ systems is available online without any restrictions (https://www.ccb.uni-saarland.de/tissueatlas2).

Indexed as

SoftwareAnimalsAtlases as TopicFemaleHumansInternetMaleMiceMicroRNAsOrgan SpecificityRNA, Long NoncodingRNA, Small InterferingRNA, Small NuclearRNA, Small NucleolarRNA, TransferTranscriptomeMicroRNAsRNA, Long NoncodingRNA, Small InterferingRNA, Small NuclearRNA, Small NucleolarRNA, Transfer

Identifiers

PMID34570238
PMCPMC8728130

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.