Evidence mapPaperPMID 40563521Full record

ReviewBiomolecules2025

LncRNA-Protein Interactions: A Key to Deciphering LncRNA Mechanisms.

Zuoneng Wang, Muhammad Aftab, Zigang Dong, Yanan Jiang, Kangdong Liu

Abstract readReview
In one paragraph

Review in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. 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

5 authors.

Zuoneng WangTianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Muhammad AftabState Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou 450000, China.
Zigang DongState Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou 450000, China.
Yanan JiangTianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Kangdong LiuTianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0002-4425-5625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) have emerged as pivotal regulators in a multitude of biological processes. However, their functional basis, particularly structure-based functional characteristics, remains elusive. lncRNAs exert their influence primarily through intricate interactions with various cellular components. Among these, interactions with proteins have garnered increasing attention. Recent research highlights the significance of the interactions with proteins as a plausible mechanism underlying lncRNA functions. Here, we delve into the interactions between lncRNAs and RNA-binding proteins (RBPs), explore their implications in cellular processes, and examine bioinformatic and experimental approaches for characterizing these interactions. We introduce an innovative ISD strategy to decipher the mysterious mechanism of lncRNAs. Through reviewing the recent advances in the study of proteins and their complexes, we incorporate the ISD strategy into our integrated structural analysis pipeline for comprehensively understanding the structure-function relationship of lncRNAs. Advances in the development of innovative therapeutic approaches based on lncRNA-protein interactions (LPIs) are reviewed accordingly.

Indexed as

RNA-Binding ProteinsRNA, Long NoncodingAnimalsHumansProtein BindingRNA-Binding ProteinsRNA, Long NoncodinglncRNA-protein interactionslong non-coding RNARNA-binding proteinsstructure-function relationshiptherapeutic targets

Identifiers

PMID40563521
PMCPMC12190918

What Socratic 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 Socratic graph.