Evidence map›Paper›PMID 26243198›Full record

ArticleScientific reports2015

miRegulome: a knowledge-base of miRNA regulomics and analysis.

Debmalya Barh, Bhanu Kamapantula, Neha Jain, Joseph Nalluri, Antaripa Bhattacharya, Lucky Juneja, Neha Barve, Sandeep Tiwari, Anderson Miyoshi, Vasco Azevedo and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 14 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

14 authors at 5 institutions in 3 countries.

Debmalya BarhCentre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, WB-721172, India.
Bhanu KamapantulaDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA-23284, USA.
Neha Jain1] Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, WB-721172, India [2] School of Biotechnology, Devi Ahilya University, Khandwa Road Campus, Indore, MP, India.
Joseph NalluriDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA-23284, USA.
Antaripa BhattacharyaCentre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, WB-721172, India.
Lucky Juneja1] Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, WB-721172, India [2] School of Biotechnology, Devi Ahilya University, Khandwa Road Campus, Indore, MP, India.
Neha Barve1] Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, WB-721172, India [2] School of Biotechnology, Devi Ahilya University, Khandwa Road Campus, Indore, MP, India.
Sandeep Tiwari1] Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, WB-721172, India [2] Laboratorio de Genetica Celular eMolecular, Departmento de Biologia Geral, Instituto de Ciencias Biologics, Universidade Federal de Minas Gerais CP 486, CEP 31270-901 Belo Horizonte, Minas Gerais, Brazil.
Anderson MiyoshiLaboratorio de Genetica Celular eMolecular, Departmento de Biologia Geral, Instituto de Ciencias Biologics, Universidade Federal de Minas Gerais CP 486, CEP 31270-901 Belo Horizonte, Minas Gerais, Brazil.
Vasco AzevedoLaboratorio de Genetica Celular eMolecular, Departmento de Biologia Geral, Instituto de Ciencias Biologics, Universidade Federal de Minas Gerais CP 486, CEP 31270-901 Belo Horizonte, Minas Gerais, Brazil.
Kenneth Blum1] Centre for Genomics and Applied Gene Technology, Institute of Integrative Omics and Applied Biotechnology (IIOAB), Nonakuri, Purba Medinipur, WB-721172, India [2] Department of Psychiatry and McKnight Brain Institute, University of Florida, College of Medicine, Gainesville, Florida, USA.
Anil KumarSchool of Biotechnology, Devi Ahilya University, Khandwa Road Campus, Indore, MP, India.
Artur SilvaInstituto de Ciências Biológicas, Universidade Federal do Pará, Rua Augusto Corrêa, 01 - Guamá, Belém, PA, Brazil.
Preetam GhoshDepartment of Computer Science, Virginia Commonwealth University, Richmond, VA-23284, USA.
Institute of Bioinformatics and Applied Biotechnology · INVirginia Commonwealth University · USUniversidade Federal de Minas Gerais · BRDevi Ahilya Vishwavidyalaya · INUniversidade Federal do Pará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledmiRNAs regulate post transcriptional gene expression by targeting multiple mRNAs and hence can modulate multiple signalling pathways, biological processes, and patho-physiologies. Therefore, understanding of miRNA regulatory networks is essential in order to modulate the functions of a miRNA. The focus of several existing databases is to provide information on specific aspects of miRNA regulation. However, an integrated resource on the miRNA regulome is currently not available to facilitate the exploration and understanding of miRNA regulomics. miRegulome attempts to bridge this gap. The current version of miRegulome v1.0 provides details on the entire regulatory modules of miRNAs altered in response to chemical treatments and transcription factors, based on validated data manually curated from published literature. Modules of miRegulome (upstream regulators, downstream targets, miRNA regulated pathways, functions, diseases, etc) are hyperlinked to an appropriate external resource and are displayed visually to provide a comprehensive understanding. Four analysis tools are incorporated to identify relationships among different modules based on user specified datasets. miRegulome and its tools are helpful in understanding the biology of miRNAs and will also facilitate the discovery of biomarkers and therapeutics. With added features in upcoming releases, miRegulome will be an essential resource to the scientific community. AVAILABILITY: http://bnet.egr.vcu.edu/miRegulome.

Indexed as

SoftwareAnimalsDatabases, GeneticGene Regulatory NetworksHumansKnowledge BasesMicroRNAsRNA InterferenceMicroRNAs

Identifiers

PMID26243198
PMCPMC4525332
OpenAlexW1878394753

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.