Evidence map›Paper›PMID 35434195›Full record

ArticleBio-protocol2022

Single-cell Damagenome Profiling by Linear Copying and Splitting based Whole Genome Amplification (LCS-WGA).

Yichi Niu, Qiangyuan Zhu, Chenghang Zong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bio-protocol, 2022. 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

3 authors.

Yichi NiuDepartment of Molecular and Human Genetics, Baylor College of Medicine, TX, USA.
Qiangyuan ZhuDepartment of Molecular and Human Genetics, Baylor College of Medicine, TX, USA.
Chenghang ZongDepartment of Molecular and Human Genetics, Baylor College of Medicine, TX, USA.

Funding

Detecting the onset of genome heterogeneity in tumor at single cell resolutionDP2EB020399 · NIBIB · BAYLOR COLLEGE OF MEDICINE · PI ZONG, CHENGHANG · 2014 to 2014
$2.4M
NIBIB NIH HHS DP2 EB020399
6 · The paper itself

Abstract

Spontaneous DNA damage frequently occurs on the human genome, and it could alter gene expression by inducing mutagenesis or epigenetic changes. Therefore, it is highly desired to profile DNA damage distribution on the human genome and identify the genes that are prone to DNA damage. Here, we present a novel single-cell whole-genome amplification method which employs linear-copying followed by a split-amplification scheme, to efficiently remove amplification errors and achieve accurate detection of DNA damage in individual cells. In comparison to previous methods that measure DNA damage, our method uses a next-generation sequencing platform to detect misincorporated bases derived from spontaneous DNA damage with single-cell resolution.

Indexed as

DamagenomeDNA damageGenome vulnerabilityHigh-damage genesLinear amplificationSingle cell whole genome amplification (scWGA)Vulnerable genesWhole genome amplification (WGA)

Identifiers

PMID35434195
PMCPMC8983167

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.