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. 2020 Jan 25:29:105183.
doi: 10.1016/j.dib.2020.105183. eCollection 2020 Apr.

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

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

Xiaofan Zhu et al. Data Brief. .

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].

Keywords: Fragment size; Graft derived cell-free DNA; Inborn errors of metabolism; Living-related liver transplantation.

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Figures

Fig. 1
Fig. 1
Size distribution of cell-free DNA in the plasma of liver transplantation patients with inborn errors of metabolism (IEM) before and after operation. Each line represents the size distribution of cell-free DNA in the plasma at different dates, with d0 and d1-60 indicating pre-operation and 1–60 days post-operation, respectively.

References

    1. Ng H.I. Analysis of fragment size distribution of cell-free DNA: a potential noninvasive marker to monitor graft damage in liver transplantation for inborn errors of metabolism. Mol. Genet. Metabol. 2019;127(1):45–50. - PubMed
    1. Wang T. An optimized method for accurate fetal sex prediction and sex chromosome aneuploidy detection in non-invasive prenatal testing. PloS One. 2016;11 - PMC - PubMed

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