Evidence map›Paper›PMID 26232079›Full record

ReviewCurrent genetics2016

Using the power of genetic suppressors to probe the essential functions of RNase E.

Diarmaid Hughes

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current genetics, 2016. 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
0.5field-weighted citation impact, top 35% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Bacterial ribonucleases and their roles in RNA metabolism.Critical reviews in biochemistry and molecular biology · 2019
    Review
  5. Review
  6. 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

1 author at 1 institution in 1 country.

Diarmaid HughesDepartment of Medical Biochemistry and Microbiology, Biomedical Center (Box 582), Uppsala University, Husargatan 3, 75123, Uppsala, Sweden. diarmaid.hughes@imbim.uu.se.
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review describes how, using the power of genetic suppressor analysis, mRNA turnover in bacteria was shown to be an essential function of RNase E. RNase E is an essential multifunctional enzyme in bacteria, involved in the processing of stable RNAs to their mature forms (rRNAs and tRNAs) and in the turnover of most mRNAs. Genetic suppressor analysis was successfully used to address whether mRNA turnover is one of the essential functions of RNase E. Conditional lethal mutations in rne were shown to be suppressible by three different classes of extragenic suppressors, including a class that caused overexpression of RelE. The only known function of RelE is the cleavage of mRNA in the ribosomal A-site. Suppression of the conditional lethal defect in rne by RelE overexpression provides strong genetic evidence that mRNA turnover is one of the essential functions of RNase E. Several hypotheses that could explain why mRNA turnover is essential are discussed. Suppressor analysis is an old-fashioned but very powerful approach that can be usefully applied to address a wide variety of important questions in biology and genetics. In this work suppressor analysis has revealed that mRNA turnover is an essential function of RNase E, a conclusion that raises a host of interesting questions for future research.

Indexed as

Genes, SuppressorSuppression, GeneticEndoribonucleasesMutationRNA, MessengerRNA, RibosomalRNA, TransferStructure-Activity RelationshipEndoribonucleasesribonuclease ERNA, MessengerRNA, RibosomalRNA, TransferEscherichia coliGenetic screenGenetic suppressionRelBERibosomal protein S1RNase RrneSalmonella

Identifiers

PMID26232079
OpenAlexW998174307

What OpenQuestion holds

Textmetadata
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.