Evidence map›Paper›PMID 34998919›Full record

ReviewBiochimica et biophysica acta. Molecular cell research2022

Transcriptome-scale methods for uncovering subcellular RNA localization mechanisms.

J Matthew Taliaferro

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Molecular cell research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. High-throughput Screening of Sequence Elements Associated with RNA Localization.Computational and structural biotechnology journal · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. 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

1 author.

J Matthew TaliaferroDepartment of Biochemistry and Molecular Genetics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; RNA Bioscience Initiative, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. Electronic address: matthew.taliaferro@cuanschutz.edu.

Funding

Understanding the regulatory language of RNA localizationR35GM133385 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI Jefferson Matthew Taliaferro · 2019 to 2026
$3.4M
Deciphering the nanomaterial uptake in a bystander manner invoked by co-administration of functionalized nanoparticlesR01GM133885 · NIGMS · UNIVERSITY OF MINNESOTA · PI PANG, HONGBO · 2019 to 2022
$1.2M
NIGMS NIH HHS R01 GM133885NIGMS NIH HHS R35 GM133385
6 · The paper itself

Abstract

Across a variety of systems, thousands of RNAs are localized to specific subcellular locations. However, for the vast majority of these RNAs, the mechanisms that underlie their transport are unknown. Historically, these mechanisms were uncovered for a single transcript at a time by laboriously testing the ability of RNA fragments to direct transcript localization. Recently developed methods profile the content of subcellular transcriptomes using high-throughput sequencing, allowing the analysis of the localization of thousands of transcripts at once. By identifying commonalities shared among multiple localized transcripts, these methods have the potential to rapidly expand our understanding of RNA localization mechanisms.

Indexed as

AnimalsCell Culture TechniquesEmbryo, NonmammalianGene Expression ProfilingHigh-Throughput Nucleotide SequencingLaser Capture MicrodissectionNeuronsRNARNA-Binding ProteinsRNARNA-Binding ProteinsCell fractionationMPRAProximity labelingRNA localizationRNA transport

Identifiers

PMID34998919
PMCPMC9035289

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.