Ren-Jun Pei

Ren-Jun Pei


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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26 June 2020 in Nanoscale
Verified
Journal Article
Closed access
PDF file
HZHongbo Zhao
Hongbo Zhao
MLMin Liu
Min Liu
YZYajie Zhang
Yajie Zhang
JYJingbo Yin
Jingbo Yin
RPRen-Jun Pei
Ren-Jun Pei
Various nanomaterials and polymer chains were combined to form nanocomposite hydrogels for different types of tissue engineering.

22 September 2020 in Biomacromolecules
Verified
Journal Article
Closed access
LZLiwei Zhang
Liwei Zhang
MLMin Liu
Min Liu
YZYajie Zhang
Yajie Zhang
RPRen-Jun Pei
Ren-Jun Pei

7 September 2020 in Nature Communications
Verified
Journal Article
Open access
PDF file
NSNa Sun
Na Sun
YLYi-Te Lee
Yi-Te Lee
RZRyan Y. Zhang
Ryan Y. Zhang
RKRueihung Kao
Rueihung Kao
PTPai-Chi Teng
Pai-Chi Teng
YZyazhen zhu
yazhen zhu
We report a covalent chemistry-based hepatocellular carcinoma (HCC)-specific extracellular vesicle (EV) purification system for early detection of HCC by performing digital scoring on the purified EVs. Earlier detection of HCC creates more opportunities for curative therapeutic interventions. EVs are present in circulation at relatively early stages of disease, providing potential opportunities for HCC early detection. We develop an HCC EV purification system (i.e., EV Click Chips) by synergistically integrating covalent chemistry-mediated EV capture/release, multimarker antibody cocktails, nanostructured substrates, and microfluidic chaotic mixers. We then explore the translational potential of EV Click Chips using 158 plasma samples of HCC patients and control cohorts. The purified HCC EVs are subjected to reverse-transcription droplet digital PCR for quantification of 10 HCC-specific mRNA markers and computation of digital scoring. The HCC EV-derived molecular signatures exhibit great potential for noninvasive early detection of HCC from at-risk cirrhotic patients with an area under receiver operator characteristic curve of 0.93 (95% CI, 0.86 to 1.00; sensitivity = 94.4%, specificity = 88.5%).

30 May 2020 in Journal of the American Chemical Society
Verified
Journal Article
Closed access
Yuewu ZhaoYuewu Zhao
Yuewu Zhao
JWJine Wang
Jine Wang
RPRen-Jun Pei
Ren-Jun Pei

4 May 2020 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
Yuewu ZhaoYuewu Zhao
Yuewu Zhao
JWJine Wang
Jine Wang
XCXue Cai
Xue Cai
PDPi Ding
Pi Ding
HLHaiyin Lv
Haiyin Lv
RPRen-Jun Pei
Ren-Jun Pei

28 March 2017 in ACS Applied Materials & Interfaces
Verified
Journal Article
Closed access
YKYe Kuang
Ye Kuang
KZKunchi Zhang
Kunchi Zhang
YCYi Cao
Yi Cao
XCXing Chen
Xing Chen
KWKewei Wang
Kewei Wang
RPRen-Jun Pei
Ren-Jun Pei