Evidence map›Paper›PMID 42862711›Full record

ReviewEpigenetics2026

Decoding chromatin-associated RNA (caRNA) interaction networks: from genome-wide dynamic capture to epigenetic mechanisms in plants and animals.

Can Liu, Wenze Li, Qi Lv, Rui Su

Abstract readReview
In one paragraph

Review in Epigenetics, 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

4 authors.

Can LiuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Wenze LiCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Qi LvCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.
Rui SuCollege of Animal Science, Inner Mongolia Agricultural University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromatin-associated RNAs (caRNAs) serve as central hubs for regulation within the cell nucleus and are involved in key biological processes such as transcriptional homeostasis, chromatin remodeling, and transgenerational inheritance. In recent years, the development of various genome-wide RNA-chromatin interaction capture technologies has made it possible to resolve the spatial interaction networks between caRNAs and chromatin with high precision. This paper systematically reviews the concepts, functions, and interaction patterns of caRNA, and provides a comprehensive overview of the principles, characteristics, technical biases, and applicable scenarios in the fields of targeted and non-targeted identification technologies. Building on this foundation, this paper conducts a comparative analysis of caRNA regulatory mechanisms in animals and plants across four functional dimensions: the organization of three-dimensional chromatin topology, RNA modification-mediated epigenetic regulatory switches, the transmission of environmental and transgenerational signals, and the pathological mechanisms associated with caRNA network dysregulation. Through this comparative analysis, this paper reveals the common characteristics of caRNA-mediated functional regulation in animals and plants, as well as lineage-specific adaptive strategies, and discusses the challenges and future directions in this field regarding single-cell resolution, AI-assisted data analysis, and translational applications.

Indexed as

ChromatinEpigenesis, GeneticRNAAnimalsGene Regulatory NetworksHumansPlantsChromatinRNA3D genomeChromatin-associated RNA (caRNA)epigenetic networksGenome-wide capture technologyRNA-chromatin interaction

Identifiers

PMID42862711
PMCPMC13671441

What OpenQuestion holds

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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.