Junge Chen

Dr. Junge 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 2021 in Biomaterials
Verified
Journal Article
Closed access
JZJie Zhong
Jie Zhong
BXBozhang Xia
Bozhang Xia
SSShaobo Shan
Shaobo Shan
AZAiping Zheng
Aiping Zheng
SZShouwen Zhang
Shouwen Zhang
XLXingjie Liang
Xingjie Liang

29 October 2018 in Analytical Chemistry
Verified
Journal Article
Closed access
JCJunge Chen
Junge Chen
YXYouchun Xu
Youchun Xu
YLYing Lu
Ying Lu
WXWanli Xing
Wanli Xing

2 July 2018 in Lab on a Chip
Verified
Journal Article
Closed access
PDF file
JCJunge Chen
Junge Chen
YXYouchun Xu
Youchun Xu
HYHe Yan
He Yan
YZYunzeng Zhu
Yunzeng Zhu
LWLei Wang
Lei Wang
WXWanli Xing
Wanli Xing
Bacterial infections may cause severe diseases such as tuberculosis, sepsis, nephritis and cystitis. The rapid and sensitive detection of bacteria is a prerequisite for the treatment of these diseases. The current gold standard for bacterial identification is bacteriological culture. However, culture-based identification takes 3–7 days, which is time-consuming and laborious. In this study, bacteria in urine samples were enriched using a portable filter-based pipette. Then, a centrifugal chip was constructed to detect multiple pathogenic bacteria from urine samples by integrating the DNA extraction, multiplex recombinase polymerase amplification (RPA) and fluorescent detection together. This eliminated the time-consuming cultivation step, and thus accelerated the diagnosis of the urinary tract infections (UTIs). The five major pathogenic bacteria in UTIs were detected in this study, which are Escherichia coli, Proteus mirabilis, Pseudomonas aeruginosa, Staphylococcus aureus and Salmonella typhimurium. Escherichia coli, Proteus mirabilis, Pseudomonas aeruginosa and Staphylococcus aureus were successfully detected with limits of detection of 100 CFU mL−1 from urine samples within 40 min. Salmonella typhimurium was successfully detected with a limit of detection of 1000 CFU mL−1 from urine samples. The chip-based bacteria detection proposed in this study is a promising tool for sensitive, accurate, and multiplex identification of bacteria in clinical urine samples of UTIs and bacteriuria.

12 December 2018 in Lab on a Chip
Verified
Journal Article
Closed access
PDF file
JCJunge Chen
Junge Chen
YXYouchun Xu
Youchun Xu
XWXun Wang
Xun Wang
DLDongchen Liu
Dongchen Liu
FYFan Yang
Fan Yang
WXWanli Xing
Wanli Xing
Extracellular vesicles (EVs) are cell-derived nanoscale vesicles that provide promising biomarkers for the non-invasive diagnosis of cancer because they carry important cancer-related DNA, RNA and protein biomarkers. However, the clinical application of EVs is limited by tedious and non-standardized isolation methods that require bulky instrumentation. Here, we propose an easy-to-operate, simple dielectrophoretic (DEP) method for EV isolation with higher recovery efficiency (>83%) and higher purity than ultracentrifugation (UC). The DEP chip reduces the isolation procedure from 8 h to 30 min. To facilitate subsequent analysis, our DEP chip achieved integration of EV isolation and in situ lysis of EVs for the first time. Our chip also achieved on-chip siRNA delivery to EVs isolated by DEP. We found that EVs isolated from the plasma of lung cancer patients contained higher levels of miR-21, miR-191 and miR-192 compared to those from healthy people. With on-chip detection, EGFR in EVs could distinguish lung cancer patients from healthy people. Overall, this study provides an efficient and practical approach to the isolation and detection of EVs, which could be used for the early diagnosis of lung cancer.

1 January 2022 in Matter
Verified
Journal Article
Closed access
xuelin Wangxuelin Wang
xuelin Wang
XLXuedong Li
Xuedong Li
MDMinghui Duan
Minghui Duan
SSShaobo Shan
Shaobo Shan
XZXiyu Zhu
Xiyu Zhu
JLJing Liu
Jing Liu

3 May 2017 in Scientific Reports
Verified
Journal Article
Open access
PDF file
HYHe Yan
He Yan
YZYunzeng Zhu
Yunzeng Zhu
YZYan Zhang
Yan Zhang
LWLei Wang
Lei Wang
JCJunge Chen
Junge Chen
WXWanli Xing
Wanli Xing
Although culture-based identification of bacteria is the gold-standard for the diagnosis of infectious diseases, it is time consuming. Recent advances in molecular diagnostics and microfluidic technologies have opened up new avenues for rapid detection of bacteria. Here, we describe a centrifugal-microfluidic chip for the detection of bacteria by integrating the cell lysis, clarification, and loop-mediated amplification (LAMP). The major advantages of this chip are as follows. Firstly, bacteria lysis was innovatively achieved by rotating a pair of magnets to generate bead-beating while the chip was kept stationary during lysis, which simplified the chip design because no additional valve was needed. Secondly, the on-chip assay time was short (within 70 min), which was competitive in emergency situations. Thirdly, results of the analysis can be interpreted by using a fluorescence detector or by the naked-eye, making it versatile in many areas, especially the resource-limited areas. The on-chip limits of detection of six types of bacteria were valued by gel electrophoresis, showing the similar results compared to the bench-top LAMP protocol. This chip can be used for rapid, sensitive, accurate and automated detection of bacteria, offering a promising alternative for simplifying the molecular diagnostics of infectious diseases.