Evidence map›Paper›PMID 33355294›Full record

ArticleGenome research2021

DENT-seq for genome-wide strand-specific identification of DNA single-strand break sites with single-nucleotide resolution.

Juniper J Elacqua, Navpreet Ranu, Sarah E DiIorio, Paul C Blainey

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 15 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

4 authors at 1 institution in 1 country.

Juniper J Elacqua *MIT Department of Biological Engineering, Cambridge, Massachusetts 02139, USA.
Navpreet Ranu *MIT Department of Biological Engineering, Cambridge, Massachusetts 02139, USA.
Sarah E DiIorioMIT Department of Biological Engineering, Cambridge, Massachusetts 02139, USA.
Paul C BlaineyMIT Department of Biological Engineering, Cambridge, Massachusetts 02139, USA.ORCID 0000-0002-4889-8783
Broad Institute · US

Funding

Live Cell TranscriptomicsDP2HL141005 · NHLBI · BROAD INSTITUTE, INC. · PI BLAINEY, PAUL CLARK · 2017 to 2017
$2.7M
NHLBI NIH HHS DP2 HL141005
6 · The paper itself

Abstract

DNA single-strand breaks (SSBs), or "nicks," are the most common form of DNA damage. Oxidative stress, endogenous enzyme activities, and other processes cause tens of thousands of nicks per cell per day. Accumulation of nicks, caused by high rates of occurrence or defects in repair enzymes, has been implicated in multiple diseases. However, improved methods for nick analysis are needed to characterize the mechanisms of these processes and learn how the location and number of nicks affect cells, disease progression, and health outcomes. In addition to natural processes, including DNA repair, leading genome editing technologies rely on nuclease activity, including nick generation, at specific target sites. There is currently a pressing need for methods to study off-target nicking activity genome-wide to evaluate the side effects of emerging genome editing tools on cells and organisms. Here, we developed a new method, DENT-seq, for efficient strand-specific profiling of nicks in complex DNA samples with single-nucleotide resolution and low false-positive rates. DENT-seq produces a single deep sequence data set enriched for reads near nick sites and establishes a readily detectable mutational signal that allows for determination of the nick site and strand with single-base resolution at penetrance as low as one strand per thousand. We apply DENT-seq to profile the off-target activity of the Nb.BsmI nicking endonuclease and an engineered spCas9 nickase. DENT-seq will be useful in exploring the activity of engineered nucleases in genome editing and other biotechnological applications as well as spontaneous and therapeutic-associated strand breaks.

Indexed as

DNA RepairDNAEndonucleasesGene EditingNucleotidesDNAEndonucleasesNucleotides

Identifiers

PMID33355294
PMCPMC7849381
OpenAlexW3113464492

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.