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Sequencing data of cell-free DNA fragments in living-related liver transplantation for inborn errors of metabolism

Graft derived cell-free DNA was recently reported as a non-invasive biomarker to detect graft damage or rejection after liver transplantation. There are a number of methods for quantification of Gcf-DNA, including quantitative-PCR, digital droplet PCR and massively parallel sequencing (next generati...

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Detalles Bibliográficos
Autores principales: Zhu, Xiaofan, Ng, Hoi Ioi, Xuan, Liming, Long, Yan, Mao, Yan, Shi, Yu, Sun, Liying, Liang, Bo, Scaglia, Fernando, Zhu, Zhijun, Choy, Kwong Wai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013363/
https://www.ncbi.nlm.nih.gov/pubmed/32071968
http://dx.doi.org/10.1016/j.dib.2020.105183
Descripción
Sumario:Graft derived cell-free DNA was recently reported as a non-invasive biomarker to detect graft damage or rejection after liver transplantation. There are a number of methods for quantification of Gcf-DNA, including quantitative-PCR, digital droplet PCR and massively parallel sequencing (next generation sequencing). Here we present the NGS data and fragment size distribution of cell-free DNA in the plasma of patients with inborn errors of metabolism who underwent living-related liver transplantation. For more insights please see Analysis of fragment size distribution of cell-free DNA: a potential noninvasive marker to monitor graft damage in living-related liver transplantation for inborn errors of metabolism. [1].