A5100437378- Metabolomics and Mass Spectrometry Studies
- Mitochondrial Function and Pathology
- Cancer, Lipids, and Metabolism
- ATP Synthase and ATPases Research
- Cancer, Hypoxia, and Metabolism
- Metabolism and Genetic Disorders
- Advanced biosensing and bioanalysis techniques
- Single-cell and spatial transcriptomics
- Peroxisome Proliferator-Activated Receptors
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Extracellular vesicles in disease
- Molecular Biology Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Viral gastroenteritis research and epidemiology
- Machine Learning in Bioinformatics
- Radioactivity and Radon Measurements
- Neonatal Respiratory Health Research
- RNA Interference and Gene Delivery
- RNA modifications and cancer
- Cholinesterase and Neurodegenerative Diseases
- Pulmonary Hypertension Research and Treatments
- Insect symbiosis and bacterial influences
- Head and Neck Cancer Studies
- Coal and Its By-products
Xinjiang University
2023-2025
Harbin Medical University
2025
Zhongshan Hospital
2017-2024
Fudan University
2017-2024
Yuhuangding Hospital
2024
Tianjin Medical University General Hospital
2024
Shenzhen Children's Hospital
2024
Shanghai Medical College of Fudan University
2017-2023
Shenyang Center for Disease Control and Prevention
2021-2023
Shanghai Clinical Research Center
2021-2022
Targeting oncogenic mutant p53 represents an attractive strategy for cancer treatment due to the high frequency of gain-of-function mutations and ectopic expression in various types. Despite extensive efforts, absence a druggable active site small molecules has rendered these mutants therapeutically non-actionable. Here we develop selective effective proteolysis-targeting chimera (PROTAC) p53-R175H, common hotspot with dominant-negative activity. Using novel iterative molecular...
Silencing resistance genes of pathogenic bacteria by RNA interference (RNAi) is a potential strategy to fight antibiotic-resistant bacterial infections. Currently, RNAi cannot be achieved in due the lack RNA-induced silencing complex machinery and difficulty small interfering (siRNA) delivery. Here, we show that exosomal siRNAs can efficiently delivered into cells silence target primarily through translational repression without mRNA degradation. The Argonaute 2 (AGO2) protein forms with...
Abstract Lipidomics is a measurement of large scale lipid species to understand roles their carbon atoms, dual bonds, or isomerism in the molecule. Clinical lipidomics was recently defined “as new integrative biomedicine discover correlation and regulation between elements measured analyzed liquid biopsies from patients with those patient phenomes clinical phenotypes”. The first step translate into settle number standard operation procedures protocols performance measurement. part...
Abstract Lung cancer is a widespread malignancy with high death rate and disorder of lipid metabolism. Lysophosphatidylcholine (lysoPC) has anti‐tumour effects, although the underlying mechanism not entirely known. The purpose this study aims at defining changes in lysoPC lung patients, effects on cells molecular mechanisms. cell sensitivity to was evaluated decisive roles long‐chain acyl‐coenzyme A synthase 5 (ACSL5) regulation were defined by comprehensively evaluating transcriptomic...
Accurately identifying potential drug-target interactions (DTIs) is a critical step in drug discovery. Multiple heterogeneous biological data provide abundant features for DTI prediction. Many computational methods have been proposed based on these data. However, most of either extract from sequences or networks, utilizing only one aspect the characteristics drugs and targets, neglecting complementary information between two types features. In fact, integrating different will more valuable...
Abstract A new coronavirus SARS‐CoV‐2 has caused outbreaks in multiple countries and the number of cases is rapidly increasing through human‐to‐human transmission. Clinical phenomes patients with infection are critical distinguishing it from other respiratory infections. The extent characteristics those varied depending on severities infection, for example, beginning fever or a mild cough, progressed signs pneumonia, worsened severe even fatal difficulty acute distress syndrome. We...
Abstract Metabolic abnormalities represent one of the pathological features chronic obstructive pulmonary disease (COPD). Glutamic pyruvate transaminase 2 (GPT2) is involved in glutamate metabolism and lipid synthesis pathways, whilst exact roles GPT2 occurrence development COPD remains uncertain. This study aims at investigating how associated genes modulate smoking‐induced airway epithelial damage by reprogramming synthesis. The circulating or human metabolomic lipidomic profiles patients...
Abstract Lung cancer has high mortality, often accompanied with systemic metabolic disorders. The present study aimed at defining values of trans‐nodules cross‐clinical phenomic and lipidomic network layers in patients adenocarcinoma (ADC), squamous cell carcinomas, or small lung (SCLC). We measured plasma profiles found that altered lipid panels concentrations varied among subtypes, genders, ages, stages, metastatic status, nutritional clinical phenome severity. It was shown...
An effective method for identifying Danshen and Baihua based on multi-wavelength HPLC-fingerprinting chromatographic analysis chemometric methodology was established.
This study aimed to summarize the clinical phenotype and genotype of children with epilepsy caused by GABRA1 gene variants. Eight patients, who were admitted Qilu Hospital Shandong University from 2015 2021, enrolled in study. variants detected whole-exome sequencing. Epilepsy manifestations, electroencephalography, neuroimaging characteristics treatment methods retrospectively analyzed. Among eight four males females. onset age was between 3 8 months age. Two patients had a family history...
The identification of disease-related genes is great significance for the diagnosis and treatment human disease. Most studies have focused on developing efficient accurate computational methods to predict disease-causing genes. Due sparsity complexity biomedical data, it still a challenge develop an effective multi-feature fusion model identify disease genes.This paper proposes approach pathogenic gene based multi-head attention (MHAGP). Firstly, heterogeneous biological information networks...