Evidence map›Paper›PMID 41039493›Full record

ReviewCell & bioscience2025

Challenges and opportunities in technologies and methods for lncRNA structure determination.

Maximilia Frazao De Souza Degenhardt, Yun-Xing Wang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cell & bioscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
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.

Maximilia Frazao De Souza Degenhardt *Protein-Nucleic Acid Interaction Section, Center for Structural Biology, National Cancer Institute, National Institutes of Health, Frederick, MD, 21702, USA.
Yun-Xing Wang *Protein-Nucleic Acid Interaction Section, Center for Structural Biology, National Cancer Institute, National Institutes of Health, Frederick, MD, 21702, USA. wangyunx@nih.gov.ORCID http://orcid.org/0000-0002-2175-0148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) play pivotal roles in diverse cellular processes ranging from gene regulation and chromatin remodeling to RNA stability and epigenetic modifications. Despite the identification of approximately 95,000 lncRNA genes in humans, our understanding of their structure-function relationships remains very limited. This review examines the current state of lncRNA structure determination. We briefly discuss the advantages and limitations of experimental approaches-including chemical probing methods such as SHAPE and DMS-as well as the challenges inherent to computational predictions, particularly given RNA's dynamic nature, structural heterogeneity, and the energy degeneracy of its building blocks. The review also highlights the difficulties in predicting long-range interactions, including pseudoknots, which are essential for global folding of large RNAs, and discusses how elevated, nonphysiologically Mg

Indexed as

Conformational dynamicsConformational heterogeneity and flexibilityConformational spaceEnsemble of conformerslncRNASignal averagingSingle snapshot structure

Identifiers

PMID41039493
PMCPMC12492894

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.