A5101900135- Bioinformatics and Genomic Networks
- Ferroptosis and cancer prognosis
- Computational Drug Discovery Methods
- Machine Learning in Bioinformatics
- RNA modifications and cancer
- Mass Spectrometry Techniques and Applications
- Data Management and Algorithms
- RNA Research and Splicing
- Protein Structure and Dynamics
- Metabolomics and Mass Spectrometry Studies
- Clinical Laboratory Practices and Quality Control
- Silicon Carbide Semiconductor Technologies
- CAR-T cell therapy research
- RNA and protein synthesis mechanisms
- Advanced Proteomics Techniques and Applications
- Gene expression and cancer classification
- Meta-analysis and systematic reviews
- Extracellular vesicles in disease
- Biotin and Related Studies
- Recommender Systems and Techniques
- Matrix Theory and Algorithms
- Statistical Methods in Clinical Trials
- Pancreatic and Hepatic Oncology Research
- Cancer-related gene regulation
- Music and Audio Processing
Second Military Medical University
2017-2023
Shanghai Cell Therapy Research Institute
2021-2023
Shanghai Jiao Tong University
2022
Tongji University
2022
Beijing Tsinghua Chang Gung Hospital
2019
Tsinghua University
2019
Peking University
2004-2016
National University of Defense Technology
2011-2014
Lanzhou University
2013
Langfang Normal University
2010
The identification and validation of drug targets are crucial in biomedical research many studies have been conducted on analyzing target features for getting a better understanding principles their mechanisms. But most them based either strong biological hypotheses or the chemical physical properties those separately. In this paper, we investigated three main ways to understand functional biomolecules topological targets. There no significant differences between common proteins...
The identification of drug target proteins (IDTP) plays a critical role in biometrics. aim this study was to retrieve potential (DTPs) from collected protein dataset, which represents an overwhelming task great significance. Previously reported methodologies for generally employ protein-protein interactive networks but neglect informative biochemical attributes. We formulated novel framework utilizing attributes address problem. In the framework, biased support vector machine (BSVM) combined...
Abstract Background Enolase is an essential enzyme in the process of glycolysis and has been implicated cancer progression. Though dysregulation ENOs reported multiple cancers, their prognostic value specific role bladder (BLCA) remain unclear. Methods Multiple databases were employed to examine expression BLCA. The ENO1 was also validated BLCA cell lines tissue samples by western blotting immunohistochemistry. Kaplan–Meier analysis, ROC curve, univariate multivariate Cox regression...
Although chimeric antigen receptor (CAR)-T cell therapy has been remarkably successful for haematological malignancies, its efficacy against solid tumors is limited. The combination of CAR-T with immune checkpoint inhibitors (CPIs), such as PD-1, PD-L1, and CTLA-4 antibodies, a promising strategy enhancing the antitumor cells. However, because most patients acquire resistance to CPIs, investigating other strategies necessary further improve tumors. Recently, CD40 agonist antibodies showed...
Abstract Hepatocellular carcinoma (HCC) is a challenging disease to evaluate in terms of prognosis, requiring close attention the prognosis HCC patients. Exosomes have been shown play an important role development and significant potential managing patient as they are detectable patients’ blood. By using small extracellular vesicular RNA, liquid biopsies can reflect underlying physiological pathological status originating cells, providing valuable assessment human health. No study has...
Construction and analyses of tissue specific networks is crucial to unveil the function organizational structure biological systems. As a direct method detect protein dynamics, human proteome-wide expression data provide an valuable resource investigate specificity proteins interactions. By integrating with large-scale interaction network, we constructed 30 tissue/cell in analyzed their properties functions. Rather than proteins, mainly focused on interactions distill networks. Through...
Abstract Immunotherapy, including ICIs, has emerged as an invaluable treatment option for advanced PLC. Nevertheless, the expression patterns of PD‐L1 and PD‐1 in PLC remain incompletely understood. In this study, pattern clinical correlation were analysed 5245 patients. The positivity rates very low patient PLCs, but higher ICC cHCC‐ICC than HCC. correlated with malignant phenotypes clinicopathological characteristics Interestingly, might serve independent prognostic factor. Based on a...
The physical properties of gene products are the foundation their biological functions. In this study, we systematically explored relationships between and including origin time, evolution pressure, mRNA protein stability, molecular weight, hydrophobicity, acidity/alkaline, amino acid compositions, chromosome location. functions defined from 4 aspects: process, function, cellular component cell/tissue/organ expression. We found that proteins associated with basic material energy metabolism...
Abstract Background Accurate and timely clinical laboratory critical values notification are crucial steps in supporting effective decision making, thereby improving patient safety. Methods A closed‐loop value system was developed by a multidisciplinary team of clinicians, laboratorians, administrators, information technology experts. All the that occurred at Beijing Tsinghua Changgung Hospital (BTCH, Beijing, China) from 2015 to 2019 were analyzed studied retrospectively. Results The total...
The tumor suppressor gene TP53, one of the most frequently mutated genes, is recognized as guardian genome and can provide a significant barrier to neoplastic transformation progression. Traditional theory believes that TP53 mutations are equal among cancer types. However, date, no study has explored mutation profile from holistic systematic standpoint discovery its relevance feature with cancers. Mutation signature, an unbiased approach identify mutational processes, be potent indicator for...
Uncovering the signaling architecture in protein-protein interaction (PPI) can certainly benefit understanding of disease mechanisms and promise to facilitate therapeutic interventions. Therefore, it is important reveal relationship from one protein another terms activation inhibition. In this study, we propose a new measurement characterize regulation PPI pair. By utilizing both Gene Ontology (GO) functional annotation domain information, developed tool called Prediction...
Recent research studies on interrogation of the tumor microbiome (including bacteria, viruses, and fungi) have yielded important insights into role microbes in carcinogenesis, therapeutic responses, resistance. Once thought to be a sterile organ, number showed presence within this organ PDAC status. A microbiome–pancreas axis for (pancreatic ductal adenocarcinoma) carcinogenesis is proposed. However, microbial composition localized tissue still unclear. The associations between reported...
Introduction RNA editing, a wide-acknowledged post-transcriptional mechanism, has been reported to be involved in the occurrence and development of cancer, especially abnormal alteration adenosine inosine. However, fewer studies focus on pancreaticcancer. Therefore, we aimed explore possible linkages between altered editing events PDAC. Method We characterized global A-to-I spectrum from matched whole-genome sequencing data 41 primary PDAC adjacent normal tissues. The following analyses were...
Objective To improve the quality of clinical biochemistry laboratory by indicators pre-analytical, analytical, post-analytical phase and whole process. Methods Analytical Phase: The Sigma values items were calculated, applying equation Sigma=(TEa%-Bias%)/CV%. Total allowable error (TEa) is from analyticalal specification defined in WS/T403-2012 China, Bias% evaluation results National Center for Clinical Laboratory (NCCL) trueness verification PT series CV% internal control data...
To help the biomedical scientist pre-confirm disease-related genes, we considered these gene as a whole research set and analyzed topological features of their interaction network. Two strategies had been proposed to construct network from OMIM database. Using two constructed sets, trained support vector machine prediction models, accuracy which are 75.09% 83.63%. As result, gained 27 2873 potential genes respectively. The intersection predicted sets contains 19 genes. In addition, locuses...