Liang Chen

Dr. Liang Chen


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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1 October 2018 in Biosensors and Bioelectronics
Verified
Journal Article
Closed access
DCDabin Chen
Dabin Chen
Duanping SunDuanping Sun
Duanping Sun
ZWZhiru Wang
Zhiru Wang
WQWeiwei Qin
Weiwei Qin
LCLiang Chen
Liang Chen
YZYuanqing Zhang
Yuanqing Zhang

1 June 2018 in Sensors and Actuators B: Chemical
Verified
Journal Article
Closed access
YJYunfei Jiang
Yunfei Jiang
Duanping SunDuanping Sun
Duanping Sun
ZLZhixian Liang
Zhixian Liang
LCLiang Chen
Liang Chen
YZYuanqing Zhang
Yuanqing Zhang
ZCZuanguang Chen
Zuanguang Chen

26 May 2021 in Acta Pharmaceutica Sinica B
Verified
Journal Article
Open access
LCLiang Chen
Liang Chen
JZJie Zhang
Jie Zhang
ZLZhun Lin
Zhun Lin
ZZZiyan Zhang
Ziyan Zhang
MMMiao Mao
Miao Mao
CFChunhai Fan
Chunhai Fan
DNA is a biological polymer that encodes and stores genetic information in all living organism. Particularly, the precise nucleobase pairing inside DNA is exploited for the self-assembling of nanostructures with defined size, shape and functionality. These DNA nanostructures are known as framework nucleic acids (FNAs) for their skeleton-like features. Recently, FNAs have been explored in various fields ranging from physics, chemistry to biology. In this review, we mainly focus on the recent progress of FNAs in a pharmaceutical perspective. We summarize the advantages and applications of FNAs for drug discovery, drug delivery and drug analysis. We further discuss the drawbacks of FNAs and provide an outlook on the pharmaceutical research direction of FNAs in the future.

1 December 2017 in Colloids and Surfaces B: Biointerfaces
Verified
Journal Article
Closed access
KWKe Wang
Ke Wang
JZJialang Zhuang
Jialang Zhuang
LCLiang Chen
Liang Chen
DXDazhuang Xu
Dazhuang Xu
XZXiaoyong Zhang
Xiaoyong Zhang
YZYuanqing Zhang
Yuanqing Zhang

9 December 2019 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
LCLiang Chen
Liang Chen
SLSiping Liang
Siping Liang
YCYu Chen
Yu Chen
MWMinhao Wu
Minhao Wu
YZYuanqing Zhang
Yuanqing Zhang

31 October 2018 in Advanced Science
Verified
Journal Article
Open access
PDF file
JZJialang Zhuang
Jialang Zhuang
YWYongjian Wu
Yongjian Wu
LCLiang Chen
Liang Chen
SLSiping Liang
Siping Liang
MWMinhao Wu
Minhao Wu
YZYuanqing Zhang
Yuanqing Zhang
Efforts have been taken to enhance the study of single‐cells, however, the task remains challenging because most previous investigations cannot exclude the interactions between single cells or separately retrieved cells with specificity for further analyses. Here, a single‐cell mobility analysis platform (SCM‐Chip) is developed that can not only real‐time monitor single‐cell migration in independent niches but can also selectively recover target cells one by one. The design of each channel with a single‐cell capture unit and an outlet enables the system to place single cells in different isolated niches with fluidic capture and to respectively collect target cells based on mobilities. SCM‐Chip characterization of breast cancer cells reveals the presence of high‐ and low‐migratory populations. Whole‐cell transcriptome analysis establishes that monocyte chemotactic protein induced protein 1 (MCPIP1) is related with cell mobility; cells with a high expression of MCPIP1 exhibit low mobility in vitro and metastasis in vivo. The SCM platform provides a generic tool for accurate single‐cell isolation and differentiation that can be readily adapted for the study of cancer and drug development.