Evidence map›Paper›PMID 36512197›Full record

ArticleGenes & genomics2023

Identification of DNA methylation and genetic alteration simultaneously from a single blood biopsy.

Xiaomin Chen, Jiahui Liu, Jun Li, Yinpeng Xie, Zichen Yu, Lu Shen, Qingfeng Liu, Wei Wu, Qiang Zhao, Haoxiang Lin and 7 more

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Article in Genes & genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

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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

13 citing papers in PubMed, 23 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

17 authors at 1 institution in 1 country.

Xiaomin Chen *GenePlus, Beijing, China.
Jiahui Liu *GenePlus, Beijing, China.
Jun Li *GenePlus, Beijing, China.
Yinpeng Xie *GenePlus, Beijing, China.
Zichen YuGenePlus, Beijing, China.
Lu ShenGenePlus, Beijing, China.
Qingfeng LiuGenePlus, Beijing, China.
Wei WuGenePlus, Beijing, China.
Qiang ZhaoGenePlus, Beijing, China.
Haoxiang LinGenePlus, Beijing, China.
Gaotong LiuGenePlus, Beijing, China.
Qiuping LuoGenePlus, Beijing, China.
Ling YangGenePlus, Beijing, China.
Yi HuangGenePlus, Beijing, China.
Meiru ZhaoGenePlus, Beijing, China.
Xin YiGenePlus, Beijing, China.
Xuefeng XiaGenePlus, Beijing, China. xiaxf@geneplus.org.cn.
Inceptus (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-throughput sequencing of blood cell-free DNA (cfDNA) techniques offer an opportunity to characterize and monitor cancer rapidly in a non-invasive and real-time manner. Nonetheless, there lacks a tool within therapeutic arsenal to identify multi-omics alterations simultaneously from a single biopsy. In current times, bisulfite-based sequencing detects 5mC and 5hmC at single-base resolution is the golden standard of DNA methylation, while the degradation of DNA and biased sequencing data are the problems of this method.

objectiveTo identify the consistency analysis of methylation and genetic variation with single library, we presented a platform detecting multi-omics data simultaneously from a single blood biopsy using bisulfite-free method of genomic methylation sequencing (GM-seq) mediated by TET enzyme.

methodsWe detected methylomic and genetic changes simultaneously from a single blood biopsy in NA12878 and randomly chose ten blood biopsies from colorectal cancer or lung cancer patients to validate the ability of GM-seq.

resultsSimilar cytosine methylation level between whole genome bisulfite sequencing (WGBS) and GM-seq were identified in NA12878. Moreover, longer insert size, CpGs coverage and GC distribution were outperformed than WGBS. In addition, the comparison of the single nucleotide polymorphism (SNP), insertion-deletion (Indel) and copy number variation (CNV) in NA12878 or ctDNA from liver cancer between GM-seq and whole genome sequencing (WGS) show a good consistency, indicating that this method is feasible for detecting genetic variation in blood.

conclusionIn conclusion, our work demonstrated a method for identification of the methylated modification and genetic variations simultaneously from a single blood biopsy.

Indexed as

DNA Copy Number VariationsDNA MethylationBiopsyHumansSequence Analysis, DNAWhole Genome SequencingBlood biopsyCell-free DNA (cfDNA)DNA methylationGenetic variationGM-seq

Identifiers

PMID36512197
OpenAlexW4311292522

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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.