Evidence map›Paper›PMID 39498432›Full record

ArticleNAR genomics and bioinformatics2024

Diverse intrinsic properties shape transcript stability and stabilization in

Huaming Sun, Diego A Vargas-Blanco, Ying Zhou, Catherine S Masiello, Jessica M Kelly, Justin K Moy, Dmitry Korkin, Scarlet S Shell

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Huaming SunProgram in Bioinformatics and Computational Biology, Worcester Polytechnic Institute, Worcester, MA 01609, USA.ORCID https://orcid.org/0000-0002-3942-7648
Diego A Vargas-BlancoDepartment of Biology and Biotechnology, Worcester Polytechnic Institute, Worcester, MA 01609, USA.
Ying ZhouDepartment of Biology and Biotechnology, Worcester Polytechnic Institute, Worcester, MA 01609, USA.
Catherine S MasielloDepartment of Biology and Biotechnology, Worcester Polytechnic Institute, Worcester, MA 01609, USA.
Jessica M KellyProgram in Bioinformatics and Computational Biology, Worcester Polytechnic Institute, Worcester, MA 01609, USA.
Justin K MoyProgram in Bioinformatics and Computational Biology, Worcester Polytechnic Institute, Worcester, MA 01609, USA.ORCID https://orcid.org/0000-0002-7566-2215
Dmitry KorkinProgram in Bioinformatics and Computational Biology, Worcester Polytechnic Institute, Worcester, MA 01609, USA.
Scarlet S ShellProgram in Bioinformatics and Computational Biology, Worcester Polytechnic Institute, Worcester, MA 01609, USA.ORCID https://orcid.org/0000-0003-1136-1728

Funding

Surviving evolution: Short-term adaptations for fitnessP01AI143575 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI SABINE EHRT · 2020 to 2026
$18.2M
Predicting the functional impact of alternative splicing on protein-protein interactions using an integrated approachR01LM014017 · NLM · WORCESTER POLYTECHNIC INSTITUTE · PI KORKIN, DMITRY, SHEYNKMAN, GLORIA · 2022 to 2025
$1.3M
NIAID NIH HHS P01 AI143575NLM NIH HHS R01 LM014017
6 · The paper itself

Abstract

Mycobacteria regulate transcript degradation to facilitate adaptation to environmental stress. However, the mechanisms underlying this regulation are unknown. Here we sought to gain understanding of the mechanisms controlling mRNA stability by investigating the transcript properties associated with variance in transcript stability and stress-induced transcript stabilization. We measured mRNA half-lives transcriptome-wide in

Identifiers

PMID39498432
PMCPMC11532794

What OpenQuestion holds

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LicenceCC BY-NC
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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.