Evidence map›Paper›PMID 42083594›Full record

ArticleActa naturae

Cellular Type Is a Major Determinant of R-Loop Genomic Distribution.

K Yu Oleynikova, N A Zhigalova, A P Hutchins, A S Ruzov

Abstract read
In one paragraph

Article in Acta naturae. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

K Yu OleynikovaInstitute of Bioengineering, Research Center of Biotechnology, Russian Academy of Sciences, Moscow, 117312 Russia.
N A ZhigalovaInstitute of Bioengineering, Research Center of Biotechnology, Russian Academy of Sciences, Moscow, 117312 Russia.
A P HutchinsDepartment of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, 518055 China.
A S RuzovInstitute of Bioengineering, Research Center of Biotechnology, Russian Academy of Sciences, Moscow, 117312 Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

R-loops that contain a DNA:RNA hybrid and unpaired single-stranded DNA are important determinants of normal cell physiology and of the pathogenesis of numerous diseases. Although several different approaches to R-loop mapping in the genome have been developed, these techniques can produce conflicting results. In order to assess their robustness, a recent study by Chedin et al. compared the R-loop genomic distribution assessed using different methods in normal and cancer cell lines. Importantly, that study assumed a high degree of similarity between R-loop genomic distributions across different cellular types. Here, we compared DRIP datasets produced using the same protocol in different cell lines to show that only 26% of R-loop peaks are shared between chronic myeloid leukemia-derived HAP1 cells and human pluripotent stem cells. Meanwhile, HAP1-derived double knockout cell lines are characterized by much higher fractions of R-loop peaks that are identical both to each other (most of them) and to the R-loop peaks of their parental line (71 and 55%). We conclude that cellular type represents a major determinant of R-loop genomic distribution and, therefore, that only a systematic comparison of a large array of various cell/tissue type-derived R-loop datasets may address the inconsistencies between different R-loop mapping techniques.

Indexed as

cellular differentiationDNA:RNA hybridsDNA-RNA Immunoprecipitation (DRIP)HAP1 cellshPSCsR-loops

Identifiers

PMID42083594
PMCPMC13135829

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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.