Evidence map›Paper›PMID 32285141›Full record

ReviewCurrent genetics2020

Phase separation drives pairing of homologous chromosomes.

Yasushi Hiraoka

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Mechanisms of ribosomopathy and phase separation-related ribosomopathy.Journal of Zhejiang University. Science. B · 2025
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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.

Yasushi HiraokaGraduate School of Frontier Biosciences, Osaka University, 1-3 Yamadaoka, Suita, 565-0871, Japan. hiraoka@fbs.osaka-u.ac.jp.ORCID http://orcid.org/0000-0001-9407-8228
The University of Osaka · JP

Funding

Japan Society for the Promotion of Science JP17H01444Japan Society for the Promotion of Science JP18H05533Japan Society for the Promotion of Science JP19K22389
6 · The paper itself

Abstract

Pairing of homologous chromosomes is crucial for ensuring accurate segregation of chromosomes during meiosis. Molecular mechanisms of homologous chromosome pairing in meiosis have been extensively studied in the fission yeast Schizosaccharomyces pombe. In this organism, meiosis-specific noncoding RNA transcribed from specific genes accumulates at the respective gene loci, and chromosome-associated RNA-protein complexes mediate meiotic pairing of homologous loci through phase separation. Pairing of homologous chromosomes also occurs in somatic diploid cells in certain situations. For example, somatic pairing of homologous chromosomes occurs during the early embryogenesis in diptera, and relies on the transcription-associated chromatin architecture. Earlier models also suggest that transcription factories along the chromosome mediate pairing of homologous chromosomes in plants. These studies suggest that RNA bodies formed on chromosomes mediate the pairing of homologous chromosomes. This review summarizes lessons from S. pombe to provide general insights into mechanisms of homologous chromosome pairing mediated by phase separation of chromosome-associated RNA-protein complexes.

Indexed as

Chromosome PairingAnimalsChromosomesChromosomes, FungalDNADrosophila melanogasterMeiosisRNA-Binding ProteinsRNA, FungalRNA, UntranslatedSchizosaccharomycesSchizosaccharomyces pombe ProteinsSequence Homology, Nucleic AcidDNARNA-Binding ProteinsRNA, FungalRNA, UntranslatedSchizosaccharomyces pombe ProteinsFission yeastHomologous chromosomeNoncoding RNAPhase separation

Identifiers

PMID32285141
OpenAlexW3016072177

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.