Pengfeng Xiao

Dr. Pengfeng Xiao


Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 January 2023 in Frontiers in Bioengineering and Biotechnology
Verified
Journal Article
Open access
CCChu Cheng
Chu Cheng
ZFZhongjie Fei
Zhongjie Fei
PXPengfeng Xiao
Pengfeng Xiao
Next-generation sequencing (NGS) is present in all fields of life science, which has greatly promoted the development of basic research while being gradually applied in clinical diagnosis. However, the cost and throughput advantages of next-generation sequencing are offset by large tradeoffs with respect to read length and accuracy. Specifically, its high error rate makes it extremely difficult to detect SNPs or low-abundance mutations, limiting its clinical applications, such as pharmacogenomics studies primarily based on SNP and early clinical diagnosis primarily based on low abundance mutations. Currently, Sanger sequencing is still considered to be the gold standard due to its high accuracy, so the results of next-generation sequencing require verification by Sanger sequencing in clinical practice. In order to maintain high quality next-generation sequencing data, a variety of improvements at the levels of template preparation, sequencing strategy and data processing have been developed. This study summarized the general procedures of next-generation sequencing platforms, highlighting the improvements involved in eliminating errors at each step. Furthermore, the challenges and future development of next-generation sequencing in clinical application was discussed.

19 July 2003 in Langmuir
Verified
Journal Article
Closed access
QHQuanguo He
Quanguo He
ZLZhengchun Liu
Zhengchun Liu
PXPengfeng Xiao
Pengfeng Xiao
RLRongqing Liang
Rongqing Liang
NHNongyue He
Nongyue He
ZLZuhong Lu
Zuhong Lu

12 May 2023 in Science Advances
Verified
Journal Article
Open access
ZFZhongjie Fei
Zhongjie Fei
NGNupur Gupta
Nupur Gupta
MLMengjie Li
Mengjie Li
PXPengfeng Xiao
Pengfeng Xiao
XHXiao ‘Matthew’ Hu
Xiao ‘Matthew’ Hu
Digital information, when converted into a DNA sequence, provides dense, stable, energy-efficient, and sustainable data storage. The most stable method for encapsulating DNA has been in an inorganic matrix of silica, iron oxide, or both, but are limited by low DNA uptake and complex recovery techniques. This study investigated a rationally designed thermally responsive functionally graded (TRFG) hydrogel as a simple and cost-effective method for storing DNA. The TRFG hydrogel shows high DNA uptake, long-term protection, and reusability due to nondestructive DNA extraction. The high loading capacity was achieved by directly absorbing DNA from the solution, which is then retained because of its interaction with a hyperbranched cationic polymer loaded into a negatively charged hydrogel matrix used as a support and because of its thermoresponsive nature, which allows DNA concentration within the hydrogel through multiple swelling/deswelling cycles. We were able to achieve a high DNA data density of 7.0 × 10 9 gigabytes per gram using a hydrogel-based system.

9 October 2006 in Electrophoresis
Verified
Journal Article
Closed access
PDF file
PXPengfeng Xiao
Pengfeng Xiao
LCLu Cheng
Lu Cheng
YWYuan Wan
Yuan Wan
BSBei Li Sun
Bei Li Sun
ZCZao Zao Chen
Zao Zao Chen
ZLZuhong Lu
Zuhong Lu

1 April 2005 in Analytica Chimica Acta
Verified
Journal Article
Closed access
HGHuishi Guo
Huishi Guo
YLYiheng Li
Yiheng Li
PXPengfeng Xiao
Pengfeng Xiao
NHNongyue He
Nongyue He

1 November 2003 in Materials Chemistry and Physics
Verified
Journal Article
Closed access
ZLZheng-Chun Liu
Zheng-Chun Liu
QHQuan-Guo He
Quan-Guo He
PXPengfeng Xiao
Pengfeng Xiao
BLBo Liang
Bo Liang
JTJian-Xin Tan
Jian-Xin Tan
ZLZu-Hong Lu
Zu-Hong Lu