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低输入全基因组甲基化测序中外显子和结构变异的性能比较

Performance comparisons of methylation and structural variants from low-input whole-genome methylation sequencing.

机构信息

Division of Computational Biology, Mayo Clinic, Rochester, MN 55905, USA.

Medical Genome Facility, Mayo Clinic, Rochester, MN 55905, USA.

出版信息

Epigenomics. 2023 Jan;15(1):11-19. doi: 10.2217/epi-2022-0453. Epub 2023 Mar 15.

Abstract

Whole-genome methylation sequencing carries both DNA methylation and structural variant information (single nucleotide variant [SNV]; copy number variant [CNV]); however, limited data is available on the reliability of obtaining this information simultaneously from low-input DNA using various library preparation and sequencing protocols. A HapMap NA12878 sample was sequenced with three protocols (EM-sequencing, QIA-sequencing and Swift-sequencing) and their performance was compared on CpG methylation measurement and SNV and CNV detection. At low DNA input (10-25 ng), EM-sequencing was superior in almost all metrics except CNV detection where all protocols were similar. EM-sequencing captured the highest number of CpGs and true SNVs. EM-sequencing is suitable to detect methylation, SNVs and CNVs from single sequencing with low-input DNA.

摘要

全基因组甲基化测序同时携带 DNA 甲基化和结构变异信息(单核苷酸变异 [SNV];拷贝数变异 [CNV]);然而,关于使用各种文库制备和测序方案从低输入 DNA 同时获得这些信息的可靠性,数据有限。使用三种方案(EM 测序、QIA 测序和 Swift 测序)对 HapMap NA12878 样本进行测序,并比较它们在 CpG 甲基化测量以及 SNV 和 CNV 检测方面的性能。在低 DNA 输入(10-25ng)下,EM 测序在除 CNV 检测外的几乎所有指标上都表现出色,而所有方案在 CNV 检测方面都相似。EM 测序捕获了最多的 CpG 和真正的 SNV。EM 测序适用于从低输入 DNA 的单个测序中检测甲基化、SNV 和 CNV。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0975/10072131/dd5e3ed970e0/epi-15-11-g1.jpg

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