A5008851811- Metabolomics and Mass Spectrometry Studies
- Advanced Proteomics Techniques and Applications
- Ferroptosis and cancer prognosis
- Analytical Chemistry and Chromatography
- Advanced Chemical Sensor Technologies
- Cancer, Hypoxia, and Metabolism
- Pancreatic and Hepatic Oncology Research
- Metabolism and Genetic Disorders
- Ubiquitin and proteasome pathways
- Molecular Biology Techniques and Applications
- RNA modifications and cancer
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Epigenetics and DNA Methylation
- Migraine and Headache Studies
- Lung Cancer Treatments and Mutations
- Extracellular vesicles in disease
- Mass Spectrometry Techniques and Applications
- Cancer, Lipids, and Metabolism
- Diet and metabolism studies
- Single-cell and spatial transcriptomics
- Advanced Biosensing Techniques and Applications
- Cardiovascular and exercise physiology
- High Altitude and Hypoxia
- Machine Learning in Bioinformatics
- Autophagy in Disease and Therapy
Center for Life Sciences
2016-2024
Peking University
2013-2024
Beihang University
2019-2023
Peking University People's Hospital
2022
Peking University Shenzhen Hospital
2022
Peking University Third Hospital
2020-2021
Peking University Cancer Hospital
2020
Health First
2017
Lung cancer is the leading cause of mortality, and early detection key to improving survival. However, there are no reliable blood-based tests currently available for early-stage lung diagnosis. Here, we performed single-cell RNA sequencing different cancers found that lipid metabolism was broadly dysregulated in cell types, with glycerophospholipid as most altered metabolism–related pathway. Untargeted lipidomics carried out an exploratory cohort 311 participants. Through support vector...
Recent advances in mass spectrometers which have yielded higher resolution and faster scanning speeds expanded their application metabolomics of diverse diseases. Using a quadrupole-Orbitrap LC-MS system, we developed an efficient large-scale quantitative method targeting 237 metabolites involved various metabolic pathways using scheduled, parallel reaction monitoring (PRM). We assessed the dynamic range, linearity, reproducibility, system suitability PRM assay by measuring concentration...
BackgroundMost malignant brain gliomas (MBGs) are associated with dismal outcomes, mainly due to their late diagnosis. Current diagnostic methods for MBGs based on imaging and histological examination, which limits early detection. Here, we aimed identify reliable plasma lipid biomarkers non-invasive diagnosis MBGs.MethodsUntargeted lipidomic analysis was firstly performed using a discovery cohort (n=107). The data were processed by support vector machine (SVM)-based discriminating model...
Purpose Renal cell carcinoma (RCC) is a malignant and metastatic cancer with 95% mortality, clear RCC (ccRCC) the most observed among five major subtypes of RCC. Specific biomarkers that can distinguish tissues from adjacent normal should be developed to diagnose this disease in early stages conduct reliable prognostic evaluation. Experimental design Data‐independent acquisition (DIA) strategy has been widely employed proteomic analysis because various advantages, including enhanced protein...
Abstract Background Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous with high morbidity mortality, especially in advanced patients. We aimed to develop multi-omics panels of biomarkers for the diagnosis explore its molecular subtypes. Methods A total 40 stable patients COPD controls were enrolled study. Proteomics metabolomics techniques applied identify potential biomarkers. An additional 29 31 validation obtained proteomic signatures. Information on demographic,...
Migraine is a prevalent, disabling type of primary headache disorder associated with high socioeconomic burden. The clinical management migraine challenging. This study was to identify potential serum lipidomic biomarkers migraine. profile sufferers compared healthy individuals using Liquid Chromatography coupled Mass Spectrometry (LC-MS). Volcano plot analysis by Student's t-test performed the differential metabolites. Receiver operating characteristic (ROC) curves were constructed and area...
Background: Chronic obstructive pulmonary disease (COPD) is a common characterized by persistent respiratory symptoms and airflow restriction. It usually manifested as airway and/or alveolar abnormalities caused significant exposure to harmful particulates or gases. Objective: We aim explore plasma metabolomic changes in the acute exacerbation stage of COPD (AECOPD) stable (Stable COPD) identify potential biomarkers for diagnosis prognosis clinical practice. Methods: Untargeted metabolomics...
Abstract B12 belongs to the coumarin class of compounds that have been shown various physiological and pharmacological activities including anti-inflammatory, antibacterial antioxidant. In present study, we characterised neuroprotective effects against H 2 O -induced neuronal cell damage in SH-SY5Y cells. Protein expression profiling combination with pathway analysis was deployed investigate molecular events associated human cells using a label-free quantitative proteomics approach. A total...
Objective: To analyze the proteome of preoperative cerebrospinal fluid (CSF) in older orthopedic patients with or without postoperative delirium (POD) using untargeted proteomics. Methods: A prospective cohort study was conducted. Eighty hip fracture aged ≥ 65 years were recruited. After successful spinal anesthesia, CSF collected. The divided into POD and No-POD groups based on Confusion Assessment Method, graded Memorial Delirium Scale (MDAS). Thirty matched to 10 by age (± 2 years)...
BackgroundVitiligo is a common depigmentation disorder resulting from destruction of melanocytes, and has both genetic environmental influences. Although genomic analyses have been performed to investigate the pathogenesis vitiligo, lipidomics, metabolomics proteomics serum not reported, role small molecules proteins in vitiligo remains unknown.
The histopathological subtype of lung adenocarcinoma (LUAD) is closely associated with prognosis. Micropapillary or solid predominant LUAD tends to relapse after surgery at an early stage, whereas lepidic pattern shows a favorable outcome. However, the molecular mechanism underlying this phenomenon remains unknown. Here, we recruited 31 LUADs (LR: low-risk group) and 28 micropapillary (HR: high-risk group). Tissues these cases were obtained label-free quantitative proteomic bioinformatic...
EVA1A is an autophagy-related protein, which plays important role in embryonic neurogenesis. In this study, we found that loss of could decrease neural differentiation the brain adult Eva1a-/- mice. To determine mechanism underlying phenotype, performed label-free quantitative proteomics and bioinformatics analysis using brains wild-type We identified 11 proteins were up-regulated 17 down-regulated knockout mice compared to counterparts. Bioinformatics indicated biological processes,...