Evidence map›Paper›PMID 37166671›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Detecting R-Loop Formation Using a Plasmid-Based In Vitro Transcription Assay.

Lei Shen, Yanzhong Yang

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Lei ShenDepartment of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope National Cancer Center, Duarte, CA, USA.
Yanzhong YangDepartment of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope National Cancer Center, Duarte, CA, USA. yyang@coh.org.
City of Hope · USCity Of Hope National Medical Center · US

Funding

Regulation of N6-methyladenosine (m6A) deposition by arginine methylationR01GM133850 · NIGMS · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI YANG, YANZHONG · 2019 to 2023
$2.1M
6 · The paper itself

Abstract

R-loops are three-stranded nucleic acid structures that consist of a DNA-RNA hybrid and a displaced single-stranded DNA. Since it was first reported by Ronald Davis and colleagues over 40 years ago, the study of R-loops has become an increasingly expanded area of research. Numerous factors have been identified to modulate the dynamic formation and resolution of R-loops, which are critical for proper controls of gene expression and genome stability. Along the lines of these discoveries, various biochemical and cellular assays have been developed to detect R-loop changes in vitro and in vivo. In this chapter, we describe a protocol for measuring R-loop formation using a plasmid-based in vitro transcription assay. The R-loop formed is then detected and quantified by using gel mobility, antibody staining, and DNA-RNA immunoprecipitation (DRIP)-qPCR assays. Unlike the helicase assay that uses short R-loop substrates, this assay system introduces DNA topology and active transcription as additional variables that impact R-loop formation, thus, more closely recapitulating in vivo situations. Furthermore, this method can be adopted for investigation of cis-elements and trans-acting factors that influence R-loop formation.

Indexed as

DNAR-Loop StructuresDNA, Single-StrandedPlasmidsRNADNADNA, Single-StrandedRNADNA/RNA immunoprecipitation-qPCRDot-blotGel electrophoresisIn vitro transcriptionR-loop

Identifiers

PMID37166671
OpenAlexW4376132036

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.