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


ABSTRACT: 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].

SUBMITTER: Zhu X 

PROVIDER: S-EPMC7013363 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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

Zhu Xiaofan X   Ng Hoi Ioi HI   Xuan Liming L   Long Yan Y   Mao Yan Y   Shi Yu Y   Sun Liying L   Liang Bo B   Scaglia Fernando F   Zhu Zhijun Z   Choy Kwong Wai KW  

Data in brief 20200125


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 transplantati  ...[more]

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