Evidence map›Paper›PMID 39152130›Full record

ArticleNature communications2024

High-sensitivity in situ capture of endogenous RNA-protein interactions in fixed cells and primary tissues.

Qishan Liang, Tao Yu, Eric Kofman, Pratibha Jagannatha, Kevin Rhine, Brian A Yee, Kevin D Corbett, Gene W Yeo

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. RNA-binding proteins orchestrating immunity in plants.The Plant journal : for cell and molecular biology · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

8 authors.

Qishan Liang *Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-4351-3140
Tao Yu *Center for RNA Technologies and Therapeutics, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-7753-7741
Eric KofmanDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
Pratibha JagannathaDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-0257-3139
Kevin RhineDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
Brian A YeeCenter for RNA Technologies and Therapeutics, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-5615-8550
Kevin D CorbettCenter for RNA Technologies and Therapeutics, University of California San Diego, La Jolla, CA, USA. kcorbett@ucsd.edu.
Gene W YeoCenter for RNA Technologies and Therapeutics, University of California San Diego, La Jolla, CA, USA. gene.w.yeo@gmail.com.ORCID 0000-0002-0799-6037

Funding

Functional RNA elements in the human genomeR01HG004659 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Kevin Daniel Corbett, Eugene Wei-Ming Yeo · 2008 to 2026
$12.4M
Technology Development Coordinating CenterU24HG011735 · NHGRI · JACKSON LABORATORY · PI Mark D ADAMS · 2021 to 2026
$8.1M
STAMP technology to enable single-cell and isoform-sensitive detection of RBP sitesR01HG011864 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI YEO, EUGENE WEI-MING · 2021 to 2024
$4.0M
Molecular mechanisms of nucleic acid recognition and maintenance in meiosis and innate immunityR35GM144121 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Kevin Daniel Corbett · 2022 to 2026
$2.7M
Ribo-STAMPEDE: novel tools for molecular profiling of brain cell typesRF1MH126719 · NIMH · SCRIPPS RESEARCH INSTITUTE, THE · PI LIPPI, GIORDANO, YEO, EUGENE WEI-MING · 2022 to 2022
$2.3M
NovaSeq5000 High Throughput SequencerS10OD025052 · OD · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI SEUMOIS, GREGORY · 2018 to 2018
$832k
Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
American Heart Association-American Stroke Association 23PRE1025605NHGRI NIH HHS R01 HG004659NHGRI NIH HHS R01 HG011864NHGRI NIH HHS U24 HG011735NIGMS NIH HHS R35 GM144121NIH HHS S10 OD025052NIH HHS S10 OD026929NIMH NIH HHS RF1 MH126719
6 · The paper itself

Abstract

RNA-binding proteins (RBPs) have pivotal functions in RNA metabolism, but current methods are limited in retrieving RBP-RNA interactions within endogenous biological contexts. Here, we develop INSCRIBE (IN situ Sensitive Capture of RNA-protein Interactions in Biological Environments), circumventing the challenges through in situ RNA labeling by precisely directing a purified APOBEC1-nanobody fusion to the RBP of interest. This method enables highly specific RNA-binding site identification across a diverse range of fixed biological samples such as HEK293T cells and mouse brain tissue and accurately identifies the canonical binding motifs of RBFOX2 (UGCAUG) and TDP-43 (UGUGUG) in native cellular environments. Applicable to any RBP with available primary antibodies, INSCRIBE enables sensitive capture of RBP-RNA interactions from ultra-low input equivalent to ~5 cells. The robust, versatile, and sensitive INSCRIBE workflow is particularly beneficial for precious tissues such as clinical samples, empowering the exploration of genuine RBP-RNA interactions in RNA-related disease contexts.

Indexed as

DNA-Binding ProteinsRNARNA-Binding ProteinsRNA Splicing FactorsAnimalsBinding SitesBrainHEK293 CellsHumansMiceProtein BindingRepressor ProteinsDNA-Binding ProteinsRBFOX2 protein, humanRepressor ProteinsRNARNA-Binding ProteinsRNA Splicing FactorsTARDBP protein, human

Identifiers

PMID39152130
PMCPMC11329496

What OpenQuestion holds

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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.