Evidence map›Paper›PMID 39468212›Full record

ArticleNature methods2024

Multiomic characterization of RNA microenvironments by oligonucleotide-mediated proximity-interactome mapping.

Ashley F Tsue, Evan E Kania, Diana Q Lei, Rose Fields, Christopher D McGann, Daphnée M Marciniak, Elliot A Hershberg, Xinxian Deng, Maryanne Kihiu, Shao-En Ong and 5 more

Abstract 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 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Accurate RNA-Ligand Binding Site Prediction Based on a Multi-Channel Graph Neural Network.Interdisciplinary sciences, computational life sciences · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
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  10. Article
  11. A unified photosensitizer platform forbioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
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  20. Review
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

15 authors.

Ashley F Tsue *Department of Pharmacology, University of Washington, Seattle, WA, USA.
Evan E Kania *Department of Pharmacology, University of Washington, Seattle, WA, USA.
Diana Q LeiDepartment of Pharmacology, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-9784-7501
Rose FieldsDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Christopher D McGannDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-9379-1910
Daphnée M MarciniakDepartment of Pharmacology, University of Washington, Seattle, WA, USA.
Elliot A HershbergDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Xinxian DengDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-5007-218X
Maryanne KihiuDepartment of Pharmacology, University of Washington, Seattle, WA, USA.
Shao-En OngDepartment of Pharmacology, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-3314-5903
Christine M DistecheDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-5433-495X
Sita KugelBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.
Brian J BeliveauBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-1314-3118
Devin K SchweppeBrotman Baty Institute for Precision Medicine, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-3241-6276
David M ShechnerDepartment of Pharmacology, University of Washington, Seattle, WA, USA. shechner@uw.edu.ORCID http://orcid.org/0000-0002-0574-256X

Funding

INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
Pharmacological Sciences SupplementT32GM007750 · NIGMS · UNIVERSITY OF WASHINGTON · PI ATKINS, WILLIAM M · 1985 to 2023
$12.6M
UW 4-Dimensional Genomic Organization of Mammalian Embryogenesis CenterUM1HG011586 · NHGRI · UNIVERSITY OF WASHINGTON · PI DISTECHE, CHRISTINE M., NOBLE, WILLIAM STAFFORD · 2020 to 2024
$10.3M
X chromosome regulation and role in aneuploidyR35GM131745 · NIGMS · UNIVERSITY OF WASHINGTON · PI Christine M. Disteche · 2019 to 2026
$4.1M
Probing the dynamics of chromosome organization in single cellsR35GM137916 · NIGMS · UNIVERSITY OF WASHINGTON · PI Brian Joseph Beliveau · 2020 to 2026
$2.9M
Exploring the epigenetic control of pancreatic cancer subtypesR37CA241472 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KUGEL, SITA · 2019 to 2025
$2.8M
Function, composition, and mechanism of RNA splicing factories in cardiomyopathyR01HL160825 · NHLBI · UNIVERSITY OF WASHINGTON · PI Charles E Murry · 2023 to 2026
$2.3M
Oligonucleotide-directed in situ proximity biotinylation: a unified method for mapping RNA-interacting proteomes, transcriptomes and genomic loci within intact cells.R01GM138799 · NIGMS · UNIVERSITY OF WASHINGTON · PI SHECHNER, DAVID MICHAEL · 2020 to 2024
$1.7M
Supplement to DEFINING PATHWAY-SPECIFIC KINASE SIGNALING MODULES WITH PROTEOMICSR01GM129090 · NIGMS · UNIVERSITY OF WASHINGTON · PI ONG, SHAO-EN · 2019 to 2022
$1.7M
Technology for evaluating drug-binding responses to small-molecule perturbationR35GM150919 · NIGMS · UNIVERSITY OF WASHINGTON · PI Devin Karl Schweppe · 2023 to 2026
$1.6M
A NanoLC-Orbitrap Tribrid Instrument for Comprehensive Proteomics AnalysesS10OD021502 · OD · UNIVERSITY OF WASHINGTON · PI ONG, SHAO-EN · 2017 to 2017
$906k
Leica SP8 WWL Confocal MicroscopeS10OD016240 · OD · UNIVERSITY OF WASHINGTON · PI CATTERALL, WILLIAM A · 2014 to 2014
$581k
American Heart Association (American Heart Association, Inc.) 902616National Science Foundation (NSF) DEB2016186NCI NIH HHS R37 CA241472NHGRI NIH HHS T32 HG000035NHGRI NIH HHS UM1 HG011586NHLBI NIH HHS R01 HL160825NIGMS NIH HHS R01 GM129090NIGMS NIH HHS R01 GM138799NIGMS NIH HHS R35 GM131745NIGMS NIH HHS R35 GM137916NIGMS NIH HHS R35 GM150919NIGMS NIH HHS T32 GM007750NIH HHS S10 OD016240NIH HHS S10 OD021502U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R37CA241472U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) 1R01HL160825-01U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) T32HG000035U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) UM1HG011586U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) 1R01GM138799-01U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) 1R35GM137916U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) 1R35GM150919-01U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) GM131745U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01GM129090U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) T32GM007750U.S. Department of Health & Human Services | NIH | NIH Office of the Director (OD) S10OD021502
6 · The paper itself

Abstract

RNA molecules form complex networks of molecular interactions that are central to their function and to cellular architecture. But these interaction networks are difficult to probe in situ. Here, we introduce Oligonucleotide-mediated proximity-interactome MAPping (O-MAP), a method for elucidating the biomolecules near an RNA of interest, within its native context. O-MAP uses RNA-fluorescence in situ hybridization-like oligonucleotide probes to deliver proximity-biotinylating enzymes to a target RNA in situ, enabling nearby molecules to be enriched by streptavidin pulldown. This induces exceptionally precise biotinylation that can be easily optimized and ported to new targets or sample types. Using the noncoding RNAs 47S, 7SK and Xist as models, we develop O-MAP workflows for discovering RNA-proximal proteins, transcripts and genomic loci, yielding a multiomic characterization of these RNAs' subcellular compartments and new regulatory interactions. O-MAP requires no genetic manipulation, uses exclusively off-the-shelf parts and requires orders of magnitude fewer cells than established methods, making it accessible to most laboratories.

Indexed as

In Situ Hybridization, FluorescenceAnimalsBiotinylationHumansMiceOligonucleotidesRNARNA, Long NoncodingOligonucleotidesRNARNA, Long NoncodingXIST non-coding RNA

Identifiers

PMID39468212
PMCPMC12185099

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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.