Evidence map›Paper›PMID 34875090›Full record

ArticleNucleic acids research2022

Analysis of subcellular transcriptomes by RNA proximity labeling with Halo-seq.

Krysta L Engel, Hei-Yong G Lo, Raeann Goering, Ying Li, Robert C Spitale, J Matthew Taliaferro

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

49 citing papers in PubMed, 65 citations in OpenAlex.

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  12. High-throughput Screening of Sequence Elements Associated with RNA Localization.Computational and structural biotechnology journal · 2026
    Article
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  16. Precise andACS central science · 2025
    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

6 authors at 3 institutions in 2 countries.

Krysta L EngelDepartment of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Hei-Yong G LoDepartment of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Raeann GoeringDepartment of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Ying LiDepartment of Chemistry, Hong Kong University.
Robert C SpitaleDepartment of Pharmaceutical Sciences, University of California Irvine, Irvine, CA, USA.ORCID 0000-0002-3511-8098
J Matthew TaliaferroDepartment of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.ORCID 0000-0001-7580-1433
University of Colorado Anschutz Medical Campus · USUniversity of California, Irvine · USUniversity of Hong Kong · HK

Funding

Predoctoral Training Program in Molecular and Cellular Biology (Supplement: Mentoring in the Research Environment)T32GM136444 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI MICHAEL A MCMURRAY, Rytis Prekeris · 2020 to 2026
$3.7M
Understanding the regulatory language of RNA localizationR35GM133385 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI Jefferson Matthew Taliaferro · 2019 to 2026
$3.4M
Predoctoral Training Program in Molecular BiologyT32GM008730 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI PREKERIS, RYTIS, SCLAFANI, ROBERT A · 1999 to 2019
$3.3M
Cracking the RNA Localization CodeDP2GM119164 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI SPITALE, ROBERT C · 2015 to 2015
$2.2M
NIGMS NIH HHS DP2 GM119164NIGMS NIH HHS R35 GM133385NIGMS NIH HHS T32 GM008730NIGMS NIH HHS T32 GM136444
6 · The paper itself

Abstract

Thousands of RNA species display nonuniform distribution within cells. However, quantification of the spatial patterns adopted by individual RNAs remains difficult, in part by a lack of quantitative tools for subcellular transcriptome analysis. In this study, we describe an RNA proximity labeling method that facilitates the quantification of subcellular RNA populations with high spatial specificity. This method, termed Halo-seq, pairs a light-activatable, radical generating small molecule with highly efficient Click chemistry to efficiently label and purify spatially defined RNA samples. We compared Halo-seq with previously reported similar methods and found that Halo-seq displayed a higher efficiency of RNA labeling, indicating that it is well suited to the investigation of small, precisely localized RNA populations. We then used Halo-seq to quantify nuclear, nucleolar and cytoplasmic transcriptomes, characterize their dynamic nature following perturbation, and identify RNA sequence features associated with their composition. Specifically, we found that RNAs containing AU-rich elements are relatively enriched in the nucleus. This enrichment becomes stronger upon treatment with the nuclear export inhibitor leptomycin B, both expanding the role of HuR in RNA export and generating a comprehensive set of transcripts whose export from the nucleus depends on HuR.

Indexed as

RNATranscriptomeActive Transport, Cell NucleusCell NucleusCytoplasmSequence Analysis, RNARNA

Identifiers

PMID34875090
PMCPMC8887463
OpenAlexW4221024622

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.