Evidence map›Paper›PMID 39149289›Full record

ArticlebioRxiv : the preprint server for biology2024

Optimized methods for mapping DNA double-strand-break ends and resection tracts and application to meiotic recombination in mouse spermatocytes.

Soonjoung Kim, Shintaro Yamada, Kaku Maekawa, Scott Keeney

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In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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.

Soonjoung KimMolecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA.ORCID 0009-0003-0029-4715
Shintaro YamadaMolecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA.ORCID 0000-0002-4882-0871
Kaku MaekawaMolecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA.ORCID 0000-0001-5025-1527
Scott KeeneyMolecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, New York 10065, USA.ORCID 0000-0002-1283-6417

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Mechanism and regulation of meiotic recombinationR35GM118092 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI Scott Keeney · 2016 to 2026
$7.0M
NCI NIH HHS P30 CA008748NIGMS NIH HHS R35 GM118092
6 · The paper itself

Abstract

DNA double-strand breaks (DSBs) made by SPO11 protein initiate homologous recombination during meiosis. Subsequent to DNA strand breakage, endo- and exo-nucleases process the DNA ends to resect the strands whose 5´ termini are at the DSB, generating long 3´-terminal single-stranded tails that serve as substrates for strand exchange proteins. DSB resection is essential for meiotic recombination, but a detailed understanding of its molecular mechanism is currently lacking. Genomic approaches to mapping DSBs and resection endpoints, e.g., S1-sequencing (S1-seq) and similar methods, play a critical role in studies of meiotic DSB processing. In these methods, nuclease S1 or other enzymes that specifically degrade ssDNA are used to trim resected DSBs, allowing capture and sequencing of the ends of resection tracts. Here, we present optimization of S1-seq that improves its signal:noise ratio and allows its application to analysis of spermatocyte meiosis in adult mice. Furthermore, quantitative features of meiotic resection are evaluated for reproducibility, and we suggest approaches for analysis and interpretation of S1-seq data. We also compare S1-seq to variants that use exonuclease T and/or exonuclease VII from

Identifiers

PMID39149289
PMCPMC11326271

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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.