Evidence map›Paper›PMID 33584810›Full record

ReviewFrontiers in genetics2020

Emerging Technologies for Genome-Wide Profiling of DNA Breakage.

Matthew J Rybin, Melina Ramic, Natalie R Ricciardi, Philipp Kapranov, Claes Wahlestedt, Zane Zeier

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Matthew J RybinDepartment of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.
Melina RamicDepartment of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.
Natalie R RicciardiDepartment of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.
Philipp KapranovInstitute of Genomics, School of Biomedical Sciences, Huaqiao University, Xiamen, China.
Claes WahlestedtDepartment of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.
Zane ZeierDepartment of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.
University of Miami · USHuaqiao University · CN

Funding

Elucidation of specific nucleocytoplasmic trafficking pathways that are disrupted in C9ORF72 ALSR21NS102829 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ZEIER, ZANE · 2017 to 2018
$422k
NINDS NIH HHS R21 NS102829
6 · The paper itself

Abstract

Genome instability is associated with myriad human diseases and is a well-known feature of both cancer and neurodegenerative disease. Until recently, the ability to assess DNA damage-the principal driver of genome instability-was limited to relatively imprecise methods or restricted to studying predefined genomic regions. Recently, new techniques for detecting DNA double strand breaks (DSBs) and single strand breaks (SSBs) with next-generation sequencing on a genome-wide scale with single nucleotide resolution have emerged. With these new tools, efforts are underway to define the "breakome" in normal aging and disease. Here, we compare the relative strengths and weaknesses of these technologies and their potential application to studying neurodegenerative diseases.

Indexed as

agingDNA damagedouble strand break (DSB)genome instabilityneurodegenerationneurodegenerative diseasesingle strand break (SSB)

Identifiers

PMID33584810
PMCPMC7873462
OpenAlexW3121919523

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.