Evidence map›Paper›PMID 26169798›Full record

ArticleGenomics, proteomics & bioinformatics2015

Regulatory microRNA networks: complex patterns of target pathways for disease-related and housekeeping microRNAs.

Sachli Zafari, Christina Backes, Petra Leidinger, Eckart Meese, Andreas Keller

Open access · goldAbstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Sachli ZafariChair for Clinical Bioinformatics, Saarland University, University Hospital, Saarbrücken 66123, Germany.
Christina BackesChair for Clinical Bioinformatics, Saarland University, University Hospital, Saarbrücken 66123, Germany.
Petra LeidingerDepartment of Human Genetics, Saarland University, University Hospital, Homburg 66421, Germany.
Eckart MeeseDepartment of Human Genetics, Saarland University, University Hospital, Homburg 66421, Germany.
Andreas KellerChair for Clinical Bioinformatics, Saarland University, University Hospital, Saarbrücken 66123, Germany. Electronic address: andreas.keller@ccb.uni-saarland.de.
Saarland University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood-based microRNA (miRNA) signatures as biomarkers have been reported for various pathologies, including cancer, neurological disorders, cardiovascular diseases, and also infections. The regulatory mechanism behind respective miRNA patterns is only partially understood. Moreover, "preserved" miRNAs, i.e., miRNAs that are not dysregulated in any disease, and their biological impact have been explored to a very limited extent. We set out to systematically determine their role in regulatory networks by defining groups of highly-dysregulated miRNAs that contribute to a disease signature as opposed to preserved housekeeping miRNAs. We further determined preferential targets and pathways of both dysregulated and preserved miRNAs by computing multi-layer networks, which were compared between housekeeping and dysregulated miRNAs. Of 848 miRNAs examined across 1049 blood samples, 8 potential housekeepers showed very limited expression variations, while 20 miRNAs showed highly-dysregulated expression throughout the investigated blood samples. Our approach provides important insights into miRNAs and their role in regulatory networks. The methodology can be applied to systematically investigate the differences in target genes and pathways of arbitrary miRNA sets.

Indexed as

Biomarkers, TumorGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksGenetic MarkersHumansMicroRNAsNeoplasmsBiomarkers, TumorGenetic MarkersMicroRNAsmiRNAmiRNA housekeepersmiRNA targetingRegulatory networksSystems biology

Identifiers

PMID26169798
PMCPMC4563351
OpenAlexW786806679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.