Evidence map›Paper›PMID 32753502›Full record

ArticlemSystems2020

Genome-Wide Analysis of RNA Decay in the Cyanobacterium

Gina C Gordon, Jeffrey C Cameron, Sanjan T P Gupta, Michael D Engstrom, Jennifer L Reed, Brian F Pfleger

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Comparative Genomic Analysis of Two Monokaryons ofJournal of fungi (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Review
  6. 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

6 authors at 1 institution in 1 country.

Gina C GordonDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jeffrey C CameronDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Sanjan T P GuptaDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Michael D EngstromDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jennifer L ReedDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Brian F PflegerDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA brian.pfleger@wisc.edu.ORCID https://orcid.org/0000-0002-9232-9959
University of Wisconsin–Madison · US

Funding

BIOTECHNOLOGY TRAINING PROGRAMT32GM008349 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI FOX, BRIAN G · 1989 to 2019
$22.5M
Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
NHGRI NIH HHS T32 HG002760NIGMS NIH HHS T32 GM008349
6 · The paper itself

Abstract

RNA degradation is an important process that influences the ultimate concentration of individual proteins inside cells. While the main enzymes that facilitate this process have been identified, global maps of RNA turnover are available for only a few species. Even in these cases, there are few sequence elements that are known to enhance or destabilize a native transcript; even fewer confer the same effect when added to a heterologous transcript. To address this knowledge gap, we assayed genome-wide RNA degradation in the cyanobacterium

Indexed as

cyanobacteriagene expressionmachine learningmRNA decayphotosynthesisRNaseterminationterminatortranscriptome

Identifiers

PMID32753502
PMCPMC7406221
OpenAlexW3047149246

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.