Evidence map›Paper›PMID 35704183›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

R-Loop Detection in Bacteria.

Émilie Vlachos-Breton, Marc Drolet

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
4.0field-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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Kinetic Features of Degradation of R-Loops by RNase H1 fromInternational journal of molecular sciences · 2024
    Article
  5. Article
  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

2 authors at 1 institution in 1 country.

Émilie Vlachos-BretonDépartement de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montreal, QC, Canada.
Marc DroletDépartement de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montreal, QC, Canada. marc.drolet@umontreal.ca.
Université de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early evidence for R-loop formation in vivo came from the study of Escherichia coli topA (topoisomerase I; topo I) null mutants. Assays with plasmids to detect RNase HI-sensitive hypernegative supercoiling or R-looped DNA were used in vitro and in vivo to demonstrate R-loop formation. In addition, these R-loop-dependent topological modifications of plasmid DNA were shown to correlate with severe growth and gene expression inhibition in topA null mutants that could be corrected by RNase HI overproduction. However, direct evidence for R-loop formation on chromosomal DNA from E. coli cells was only obtained recently by using the S9.6 antibody to detect RNA-DNA hybrids in dot-blot experiments. Here, we present a protocol for such experiments with a special emphasis on the procedure used for bacterial genomic DNA extraction and preparation including treatment with appropriate ribonucleases to eliminate RNA-RNA hybrids (that are also recognized by S9.6) as well as single-stranded RNA (ssRNA), in order to obtain a signal that is specific to stable RNA-DNA hybrids generated. Furthermore, we recommend that the results of such experiments be correlated with RNase HI-sensitive phenotypes.

Indexed as

Escherichia coliEscherichia coli ProteinsDNA, BacterialDNA Topoisomerases, Type IPlasmidsRibonuclease HR-Loop StructuresRNADNA, BacterialDNA Topoisomerases, Type IEscherichia coli ProteinsRibonuclease HRNABacteriaR-loopRNase HS9.6Topoisomerases

Identifiers

PMID35704183
OpenAlexW4285061118

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.