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Construction of high coverage whole-genome sequencing libraries from single colon crypts without DNA extraction or whole-genome amplification

OBJECTIVE: Comprehensive and reliable genome-wide variant analysis of a small number of cells has been challenging due to genome coverage bias, PCR over-cycling, and the requirement of expensive technologies. To comprehensively identify genome alterations in single colon crypts that reflect genome h...

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Detalles Bibliográficos
Autores principales: Manojlovic, Zarko, Wlodarczyk, Jordan, Okitsu, Cindy, Jin, Yuxin, Van Den Berg, David, Lieber, Michael R., Hsieh, Chih-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142246/
https://www.ncbi.nlm.nih.gov/pubmed/37106434
http://dx.doi.org/10.1186/s13104-023-06333-y
Descripción
Sumario:OBJECTIVE: Comprehensive and reliable genome-wide variant analysis of a small number of cells has been challenging due to genome coverage bias, PCR over-cycling, and the requirement of expensive technologies. To comprehensively identify genome alterations in single colon crypts that reflect genome heterogeneity of stem cells, we developed a method to construct whole-genome sequencing libraries from single colon crypts without DNA extraction, whole-genome amplification, or increased PCR enrichment cycles. RESULTS: We present post-alignment statistics of 81 single-crypts (each contains four- to eight-fold less DNA than the requirement of conventional methods) and 16 bulk-tissue libraries to demonstrate the consistent success in obtaining reliable coverage, both in depth (≥ 30X) and breadth (≥ 92% of the genome covered at ≥ 10X depth), of the human genome. These single-crypt libraries are of comparable quality as libraries generated with the conventional method using high quality and quantities of purified DNA. Conceivably, our method can be applied to small biopsy samples from many tissues and can be combined with single cell targeted sequencing to comprehensively profile cancer genomes and their evolution. The broad potential application of this method offers expanded possibilities in cost-effectively examining genome heterogeneity in small numbers of cells at high resolution. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-023-06333-y.