Evidence map›Paper›PMID 37985452›Full record

ArticleBriefings in bioinformatics2023

PanomiR: a systems biology framework for analysis of multi-pathway targeting by miRNAs.

Pourya Naderi Yeganeh, Yue Y Teo, Dimitra Karagkouni, Yered Pita-Juárez, Sarah L Morgan, Frank J Slack, Ioannis S Vlachos, Winston A Hide

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Pourya Naderi YeganehHarvard Medical School, Boston, MA, USA.
Yue Y TeoNational University of Singapore, Singapore.
Dimitra KaragkouniHarvard Medical School, Boston, MA, USA.
Yered Pita-JuárezHarvard Medical School, Boston, MA, USA.
Sarah L MorganHarvard Medical School, Boston, MA, USA.
Frank J SlackHarvard Medical School, Boston, MA, USA.
Ioannis S VlachosHarvard Medical School, Boston, MA, USA.
Winston A HideHarvard Medical School, Boston, MA, USA.

Funding

Precision microRNA medicine in cancerR35CA232105 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SLACK, FRANK J. · 2019 to 2025
$7.2M
Non-coding RNAs in resilience to Alzheimer’s DiseaseR01AG082093 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Winston Alexander Hide, Doo Yeon Kim · 2023 to 2026
$3.4M
Pan-Cancer characterization of 3’UTR somatic mutations controlling tumor immune evasionR01CA258776 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Ioannis Vlachos · 2022 to 2026
$2.9M
Juvenile microRNAs promoting healthier adult agingR01AG058816 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SLACK, FRANK J. · 2018 to 2022
$1.9M
NCI NIH HHS R01 CA258776NCI NIH HHS R35 CA232105NIA NIH HHS R01 AG058816NIA NIH HHS R01 AG082093NIH HHS R35 CA232105
6 · The paper itself

Abstract

Charting microRNA (miRNA) regulation across pathways is key to characterizing their function. Yet, no method currently exists that can quantify how miRNAs regulate multiple interconnected pathways or prioritize them for their ability to regulate coordinate transcriptional programs. Existing methods primarily infer one-to-one relationships between miRNAs and pathways using differentially expressed genes. We introduce PanomiR, an in silico framework for studying the interplay of miRNAs and disease functions. PanomiR integrates gene expression, mRNA-miRNA interactions and known biological pathways to reveal coordinated multi-pathway targeting by miRNAs. PanomiR utilizes pathway-activity profiling approaches, a pathway co-expression network and network clustering algorithms to prioritize miRNAs that target broad-scale transcriptional disease phenotypes. It directly resolves differential regulation of pathways, irrespective of their differential gene expression, and captures co-activity to establish functional pathway groupings and the miRNAs that may regulate them. PanomiR uses a systems biology approach to provide broad but precise insights into miRNA-regulated functional programs. It is available at https://bioconductor.org/packages/PanomiR.

Indexed as

MicroRNAsComputational BiologyGene Expression ProfilingGene Regulatory NetworksSystems BiologyMicroRNAsbioinformaticsbiological networkscomputational biologymicroRNAmiRNA prioritizationmiRNA regulationpathway analysispathwaysstatistical modelssystems biology

Identifiers

PMID37985452
PMCPMC10661971

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Registered trials

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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.