Evidence map›Paper›PMID 31565069›Full record

ArticleComputational and mathematical methods in medicine2019

Portrait of Tissue-Specific Coexpression Networks of Noncoding RNAs (miRNA and lncRNA) and mRNAs in Normal Tissues.

Claudia Cava, Gloria Bertoli, Isabella Castiglioni

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 31 citations in OpenAlex.

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  11. Web tools to perform long non-coding RNAs analysis in oncology research.Database : the journal of biological databases and curation · 2021
    Review
  12. Article
  13. The role of MMolecular therapy. Nucleic acids · 2021
    Review
  14. Article
  15. Article
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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.

Claudia CavaInstitute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Segrate (Mi), Italy.ORCID https://orcid.org/0000-0002-5540-4104
Gloria BertoliInstitute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Segrate (Mi), Italy.ORCID https://orcid.org/0000-0002-5901-4269
Isabella CastiglioniInstitute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Segrate (Mi), Italy.ORCID https://orcid.org/0000-0001-7191-5417
Institute of Molecular Bioimaging and Physiology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genes that encode proteins playing a role in more than one biological process are frequently dependent on their tissue context, and human diseases result from the altered interplay of tissue- and cell-specific processes. In this work, we performed a computational approach that identifies tissue-specific co-expression networks by integrating miRNAs, long-non-coding RNAs, and mRNAs in more than eight thousands of human samples from thirty normal tissue types. Our analysis (1) shows that long-non coding RNAs and miRNAs have a high specificity, (2) confirms several known tissue-specific RNAs, and (3) identifies new tissue-specific co-expressed RNAs that are currently still not described in the literature. Some of these RNAs interact with known tissue-specific RNAs or are crucial in key cancer functions, suggesting that they are implicated in tissue specification or cell differentiation.

Indexed as

Gene Expression ProfilingAnimalsCell DifferentiationComputational BiologyComputer SimulationDatabases, FactualFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleMiceMicroRNAsRNA, Long NoncodingRNA, MessengerSoftwareMicroRNAsRNA, Long NoncodingRNA, Messenger

Identifiers

PMID31565069
PMCPMC6745163
OpenAlexW2971469782

What Socratic 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 Socratic graph.