Evidence map›Paper›PMID 38177506›Full record

ArticleNature methods2024

RNA structure profiling at single-cell resolution reveals new determinants of cell identity.

Jiaxu Wang, Yu Zhang, Tong Zhang, Wen Ting Tan, Finnlay Lambert, Jefferson Darmawan, Roland Huber, Yue Wan

Open access · hybridAbstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

17 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  5. Review
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  8. Article
  9. Sequencing technologies to measure translation in single cells.Nature reviews. Molecular cell biology · 2025
    Review
  10. Article
  11. Review
  12. RNA Structure: Past, Future, and Gene Therapy Applications.International journal of molecular sciences · 2024
    Review
  13. Review
  14. Review
  15. The RNA Revolution in the Central Molecular Biology Dogma Evolution.International journal of molecular sciences · 2024
    Review
  16. Article
  17. 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

8 authors at 2 institutions in 2 countries.

Jiaxu Wang *Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, Singapore. wangjx@gis.a-star.edu.sg.ORCID http://orcid.org/0000-0001-7101-8230
Yu Zhang *Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, Singapore.ORCID http://orcid.org/0000-0003-1567-289X
Tong Zhang *Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, Singapore.
Wen Ting TanStem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, Singapore.
Finnlay LambertStem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, Singapore.
Jefferson DarmawanStem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, Singapore.
Roland HuberBioinformatics Institute, A*STAR, Singapore, Singapore.ORCID http://orcid.org/0000-0001-5093-5988
Yue WanStem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, Singapore. wany@gis.a-star.edu.sg.ORCID http://orcid.org/0000-0002-2433-9637
Agency for Science, Technology and Research · SGNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA structure is critical for multiple steps in gene regulation. However, how the structures of transcripts differ both within and between individual cells is unknown. Here we develop a SHAPE-inspired method called single-cell structure probing of RNA transcripts that enables simultaneous determination of transcript secondary structure and abundance at single-cell resolution. We apply single-cell structure probing of RNA transcripts to human embryonic stem cells and differentiating neurons. Remarkably, RNA structure is more homogeneous in human embryonic stem cells compared with neurons, with the greatest homogeneity found in coding regions. More extensive heterogeneity is found within 3' untranslated regions and is determined by specific RNA-binding proteins. Overall RNA structure profiles better discriminate cell type identity and differentiation stage than gene expression profiles alone. We further discover a cell-type variable region of 18S ribosomal RNA that is associated with cell cycle and translation control. Our method opens the door to the systematic characterization of RNA structure-function relationships at single-cell resolution.

Indexed as

RNABase SequenceCell DifferentiationHumansNucleic Acid ConformationRNA, MessengerRNARNA, Messenger

Identifiers

PMID38177506
PMCPMC10927541
OpenAlexW4390587684

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.