Chengyu Li

1 month ago | genomebiology.biomedcentral.com | Xin Shao |Lingqi Yu |Chengyu Li |Jingyang Qian |Xinyu Yang |Haihong Yang | +4 more

For the analyses of human ovarian cancer investigations, patient participants with platinum-free intervals exceeding 20 days and corresponding peritoneum and omentum samples containing a minimum of 100 epithelial ovarian cancer cells in the scRNA-seq data were retained. The genes were revised in accordance with the National Center for Biotechnology Information gene database (https://www.ncbi.nlm.nih.gov/gene/), in which unmatched and duplicated genes were removed.

Feb 16, 2025 | nature.com | Jingyang Qian |Xin Shao |Yin Fang |Wenbo Guo |Chengyu Li |Xiaohui Fan | +1 more

Deciphering the features, structure, and functions of the cell niche in tissues remains a major challenge. Here, we present scNiche, a computational framework to identify and characterize cell niches from spatial omics data at single-cell resolution. We benchmark scNiche with both simulated and biological datasets, and demonstrate that scNiche can effectively and robustly identify cell niches while outperforming other existing methods. In spatial proteomics data from human triple-negative breast cancer, scNiche reveals the influence of the microenvironment on cellular phenotypes, and further dissects patient-specific niches with distinct cellular compositions or phenotypic characteristics. By analyzing mouse liver spatial transcriptomics data across normal and early-onset liver failure donors, scNiche uncovers disease-specific liver injury niches, and further delineates the niche remodeling from normal liver to liver failure. Overall, scNiche enables decoding the cellular microenvironment in tissues from single-cell spatial omics data. Deciphering the features, structure, and functions of the cell niche in tissues remains a major challenge. Here, the authors develop scNiche, a computational framework to identify and characterise cell niches from spatial omics data at single-cell resolution.

Sep 29, 2024 | onlinelibrary.wiley.com | Zhao Yang |Xiao Han |Yue Zhao |Chengyu Li

CONFLICT OF INTEREST STATEMENT The authors declare no conflict of interest. REFERENCES , , & (2021). Prevalence of home storage of medicines and associated factors in Iraq, Open Access Maced. journal of Medical Sciences, 9, 356–363. , , & (2013). Storage and wastage of drug products in Jordanian households: A cross-sectional survey. The International Journal of Pharmacy Practice, 21, 185–191. https://doi.org/10.1111/j.2042-7174.2012.00250.x , , , , & (2021).

Oct 27, 2023 | mdpi.com | Yulin Lu |Chengyu Li |Min-Jae Lee

This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticleby 1,†, 2,† and 3,* 1Directly Affiliated College, Shandong Open University, Jinan 250014, China2College of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, China3Department of Global Business, Mokwon University, Daejeon 35349, Republic of Korea*Author to whom correspondence should be addressed. †These authors contributed equally to this work.

Jun 28, 2023 | mdpi.com | Chengyu Li |Gao Yu |Yuhan Yang |Yurui Shang

3. Results and Discussion This study proposes a high storable power density triboelectric nanogenerator. Figure 3 illustrates the fundamental constituent materials of the multilayer TENG and presents the 3D model of the experimental setup. The figure provides a succinct overview of the generator’s basic operating principle and showcases its potential distribution on the simulation surface. Moreover, it highlights the scientific advancements accomplished in this study.