Wenxing Li
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Wenxing Li has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
Runchi Zhang
Shanghai Tenth People’s Hospital of Tongji University, Shanghai, PR China
2 shared publicationsXiaochen Tang
Department of Clinical Laboratory Medicine, Shanghai Children’s Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
2 shared publications- Bing Shen
Department of Urology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
1 shared publication Chenbin Liu
Department of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, PR China
1 shared publicationDongsheng Mao
Department of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, PR China
1 shared publication- Dongsheng Mao
Department of Clinical Laboratory Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
1 shared publication
Latest Publications
- Open Access
- 22 January 2025
- Published by Springer Nature in Nature Communications
- Vol. 16 (1) , 1-16
Multichrome encoding-based multiplexed, spatially resolved imaging reveals single-cell RNA epigenetic modifications heterogeneity
Understanding the heterogeneity of epigenetic modifications within single cells is pivotal for unraveling the nature of the complexity of gene expression and cellular function. In this study, we have developed a strategy based on multichrome encoding and “AND” Boolean logic recognition for multiplexed, spatially resolved imaging of single-cell RNA epigenetic modifications, termed as PRoximity Exchange-assisted Encoding of Multichrome (PREEM). Through the implementation of this strategy, we can now map the expression and nuclear distribution of multiple site-specific RNA N6-methyladenosine (m6A) modifications at the single-molecule resolution level in single-cells, and reveal the previously unknown heterogeneity. Notably, we demonstrate how these patterns change after treatment with various drugs. Moreover, cyclic imaging with tailed DNA self-assembly further suggest the scalability and adaptability of PREEM’s design. As an innovative epigenetic modification imaging tool, PREEM not only broadens the horizons of single-cell epigenetics research, enabling joint analysis of multiple targets beyond the limitations of imaging channels, but also reveals cell-to-cell variability, thereby enhancing our capacity to explore cellular functions.
- 22 January 2025
- Published by Springer Nature in Nature Communications
- Vol. 16 (1) , 1-16
Open AccessMultichrome encoding-based multiplexed, spatially resolved imaging reveals single-cell RNA epigenetic modifications heterogeneity
Understanding the heterogeneity of epigenetic modifications within single cells is pivotal for unraveling the nature of the complexity of gene expression and cellular function. In this study, we have developed a strategy based on multichrome encoding and “AND” Boolean logic recognition for multiplexed, spatially resolved imaging of single-cell RNA epigenetic modifications, termed as PRoximity Exchange-assisted Encoding of Multichrome (PREEM). Through the implementation of this strategy, we can now map the expression and nuclear distribution of multiple site-specific RNA N6-methyladenosine (m6A) modifications at the single-molecule resolution level in single-cells, and reveal the previously unknown heterogeneity. Notably, we demonstrate how these patterns change after treatment with various drugs. Moreover, cyclic imaging with tailed DNA self-assembly further suggest the scalability and adaptability of PREEM’s design. As an innovative epigenetic modification imaging tool, PREEM not only broadens the horizons of single-cell epigenetics research, enabling joint analysis of multiple targets beyond the limitations of imaging channels, but also reveals cell-to-cell variability, thereby enhancing our capacity to explore cellular functions.
- 28 June 2023
- Published by Elsevier in Biosensors and Bioelectronics
- Vol. 237, 115502
Biological effect abundance analysis of hemolytic pathogens based on engineered biomimetic sensor
- 28 June 2023
- Published by Elsevier in Biosensors and Bioelectronics
- Vol. 237, 115502
Biological effect abundance analysis of hemolytic pathogens based on engineered biomimetic sensor