Evidence map›Paper›PMID 42788881›Full record

ReviewRNA biology2026

MicroRNA circuits and regulatory networks: emerging therapeutic paradigm.

Swati Goswami, Shailza Singh

Abstract readReview
In one paragraph

Review in RNA biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Swati GoswamiSystems Medicine Laboratory, BRIC-National Centre for Cell Science, NCCS Complex, Pune, India.
Shailza SinghSystems Medicine Laboratory, BRIC-National Centre for Cell Science, NCCS Complex, Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs whose function is to regulate gene expression post-transcriptionally. Transcription factors (TFs) are the DNA-binding proteins responsible for activation or repression of a gene. Together, miRNAs and TFs form regulatory networks that modulate cellular homeostasis. In these regulatory networks, these TFs often regulate the expression of miRNAs, and in turn, miRNAs regulate the expression of TFs, thus forming feedback and feedforward loops. These loops and regulatory networks allow precise control over gene expression patterns by enabling accurate signal processing. Utilizing mathematical modelling and machine learning approaches helps understand the global structure of these networks. These reveal cellular fate selection, stress adaptation, disease development, and gaining insights into these interconnected regulatory systems opens new prospects for novel biomarker discovery and therapeutic approaches in a variety of disciplines, including cancer and immunotherapy.

Indexed as

Gene Regulatory NetworksMicroRNAsNeoplasmsAnimalsFeedback, PhysiologicalGene Expression RegulationHumansTranscription FactorsMicroRNAsTranscription Factorsfeedback loopsMicroRNAsregulatory networkssynthetic circuittranscription factors

Identifiers

PMID42788881
PMCPMC13618824

What OpenQuestion holds

Textmetadata
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.