A5100432002- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Circular RNAs in diseases
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Chemical Synthesis and Characterization
- Integrated Circuits and Semiconductor Failure Analysis
- Pancreatic function and diabetes
- RNA modifications and cancer
- Electrostatic Discharge in Electronics
- RNA regulation and disease
- Metallic Glasses and Amorphous Alloys
- Crystal Structures and Properties
- Zeolite Catalysis and Synthesis
- Electromagnetic Compatibility and Noise Suppression
- Single-cell and spatial transcriptomics
- Glass properties and applications
- Metal-Organic Frameworks: Synthesis and Applications
- Particle Dynamics in Fluid Flows
- Hemoglobin structure and function
- Diabetes Treatment and Management
- Face and Expression Recognition
- Medicinal Plant Pharmacodynamics Research
- Protein Interaction Studies and Fluorescence Analysis
Peking University People's Hospital
2018-2025
Peking University
2018-2025
Xiangtan University
2012-2024
Institute of Microelectronics
2024
Central South University
2010-2020
Guangdong Pharmaceutical University
2020
Xiangya Hospital Central South University
2020
Chinese Academy of Medical Sciences & Peking Union Medical College
2010-2019
State Key Laboratory of Chemobiosensing and Chemometrics
2019
Hunan University
2005-2019
MicroRNAs (miRNAs) are key regulators of gene expression involved in a broad range biological processes. MiRNASNP aims to provide single nucleotide polymorphisms (SNPs) miRNAs and genes that may impact miRNA biogenesis and/or target binding. Advanced research provided abundant data about expression, validated targets related phenotypic variants. In miRNASNP v2.0, we have updated our previous database with several new features, including: (i) level correlation different tissues, (ii) linking...
To investigate the glucose profile of Chinese individuals with type 1 diabetes (T1D) who also have metabolic syndrome. Type participants from Peking University People's Hospital were recruited Jan 2017 to 2024. The diagnosis syndrome was developed based on updated National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII) criteria. Demographic data, anthropometric measurements, clinical information and continuous monitoring (CGM) data collected compared between those...
MicroRNAs (miRNAs) play key regulatory roles in various biological processes and diseases. A comprehensive analysis of large scale small RNA sequencing data (smRNA-seq) will be very helpful to explore tissue or disease specific miRNA markers uncover variants. Here, we systematically analyzed 410 human smRNA-seq datasets, which samples are from 24 tissue/disease/cell lines. We tested the mapping strategies found that it was necessary make multiple-round mappings with different mismatch...
Deregulation of microRNAs (miRNAs) is essential to tumor development, and serum miRNA profiles have been reported in several cancers. However, the profile oral squamous cell carcinoma (OSCC) remained unclear. The present study aimed explore abnormal sera samples from OSCC patients association miR-483-5p with patient prognosis. Microarray analysis was performed versus healthy controls. expression measured by reverse transcription (RT)-PCR correlated clinicopathological characteristics...
Abstract The elucidation of gene regulatory networks (GRNs) is one the central challenges systems biology, which crucial for understanding pathogenesis and curing diseases. Various computational methods have been developed GRN inference, but identifying redundant regulation remains a fundamental problem. Although considering topological properties edge importance measures simultaneously can identify reduce regulations, how to address their respective weaknesses whilst leveraging strengths...
Background: Dysregulation of microRNAs (miRNAs) was found to play crucial roles in varieties cancers, which affect tumor proliferation and migration. MiR-27a-3p has been identified as a tumor-related miRNA liver cancer, lung colorectal cancer. However, the function miR-27a-3p triple-negative breast cancer (TNBC) its possible molecular mechanisms have still not elucidated. Methods: QRT-PCR technique used detect expression TNBC normal cell lines or effects knockdown overexpression lines....
In this paper, a novel silicon-controlled rectifier (SCR) electrostatic discharge (ESD) protection device, called low voltage triggered SCR (LVTSCR) (LVTSCRTSCR), is proposed for 3.3 V I/O applications in 0.18 μm CMOS technology. One side of the device traditional LVTSCR structure, and other structure. The two structures are connected by floating P+ diffusion layer. working principle LVTSCRTSCR was verified TCAD simulation results TLP test results. show that triggering determined LVTSCR,...
The title compound, synthesized in a water-free flux under mild conditions (513 K autoclaves), exhibits zeolite-like and chiral open-framework related to gismondine (GIS).
Here, we have developed a new colorimetric and luminescence nanosensor, based on upconversion nanoparticles (UCNPs), for in vitro ex vivo measurement of carbon monoxide (CO). The nanoprobe has two strong fluorescence emission peaks the UCNP core to excite fluorophores at 540 800 nm. CO-responsive palladium ion-bounded rhodamine B derivatives (Pd-RBDs) are encapsulated mesoporous silica (mSiO2) shell particles outside cyclodextrin (CD) layer. Reduction ions by CO results release from Pd-RBDs,...
Gene-set analysis (GSA) aims to identify sets of differentially expressed genes by a phenotype in DNA microarray studies. Challenges occur due the salient characteristics data: (1) number is far larger than observations; (2) gene expression measurements, especially within each set, can be highly correlated; and (3) that examined large increasing rapidly. These challenges call for gene-set testing procedures have both efficiency computation GSAs high power presence correlation. We propose new...
MicroRNAs (miRs) are considered to be tumor suppressors or oncogenes as they regulate cell proliferation, migration, invasion, and differentiation. Recently, microRNA-505 (miR-505) has been reported being involved in the progression of several human cancers. In present study, we aim investigate expression rate functional role miR-505-5p cervical cancer (CC) determine its significance regarding disease's development.The cyclin-dependent kinase 5 (CDK5) specimens patients with CC lines was...
miR-122, the expression of which is regulated by several transcription factors, such as HNF1A, was recently reported to be associated with type 2 diabetes (T2DM) and hepatocellular carcinoma. HNF1A variants can cause might involved in development primary liver neoplasm. Differences miR-122 among different types have not been studied. This study aimed investigate differences serum levels Chinese patients forms diabetes, including T2DM, 1 (T1DM), variant-induced (HNF1A-DM), glucokinase...
Inferring time-varying networks is important to understand the development and evolution of interactions over time. However, vast majority currently used models assume direct measurements node states, which are often difficult obtain, especially in fields like cell biology, where perturbation experiments only provide indirect information network structure. Here we propose hidden Markov nested effects (HM-NEMs) model evolving by a chain on state space signalling networks, derived from (NEMs)...
Inferring gene regulatory networks from expression data is essential in identifying complex relationships among genes and revealing the mechanism of certain diseases. Various computation methods have been developed for inferring networks. However, these focus on local topology network rather than global topology. From optimisation standpoint, emphasising also reduces redundant relationships. In this study, we propose a novel inference algorithm using Random Walk with Restart (RWRNET) that...