A5102011920- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Extracellular vesicles in disease
- Gene Regulatory Network Analysis
- RNA Interference and Gene Delivery
- Plant nutrient uptake and metabolism
- MicroRNA in disease regulation
- Advanced biosensing and bioanalysis techniques
- Cancer-related molecular mechanisms research
- Cell Image Analysis Techniques
- RNA and protein synthesis mechanisms
- Diabetes and associated disorders
- Immune cells in cancer
- Immune Response and Inflammation
- Pancreatic function and diabetes
- Soybean genetics and cultivation
- Toxoplasma gondii Research Studies
- Biopolymer Synthesis and Applications
- Knee injuries and reconstruction techniques
- Diet, Metabolism, and Disease
- Image and Signal Denoising Methods
- Scheduling and Optimization Algorithms
- Parasitic Infections and Diagnostics
- Scheduling and Timetabling Solutions
- Cyclone Separators and Fluid Dynamics
University of Newcastle Australia
2025
China University of Geosciences
2021-2024
Zhejiang University
2022-2024
Capital Institute of Pediatrics
2017-2023
State Key Laboratory of Chemical Engineering
2023
La Trobe University
2022
Zunyi Medical University
2021
Alnylam Pharmaceuticals (United States)
2017-2018
Peking University
2017
Harbin Medical University
2015-2016
Significant progress has been made in the advancement of RNAi therapeutics by combining a synthetic triantennary N-acetylgalactosamine ligand targeting asialoglycoprotein receptor with chemically modified small interfering RNA (siRNA) designs, including recently described Enhanced Stabilization Chemistry. This strategy demonstrated robust RNAi-mediated gene silencing liver after subcutaneous administration across species, human. Here we demonstrate that substantial efficacy improvements can...
Increasing evidence has revealed that RNA subcellular localization is a very important feature for deeply understanding RNA's biological functions after being transported into intra- or extra-cellular regions. RNALocate web-accessible database aims to provide high-quality resource and facilitate future researches on function structure. The current version of documents more than 37 700 manually curated entries with experimental evidence, involving 21 800 RNAs 42 localizations in 65 species,...
The hepatocyte-specific asialoglycoprotein receptor (ASGPR) is an ideal candidate for targeted drug delivery to the liver due its high capacity substrate clearance from circulation together with well-conserved expression and function across species. development of GalNAc-siRNA conjugates, in which a synthetic triantennary N-acetylgalactosamine-based ligand conjugated chemically modified siRNA, has enabled efficient, ASGPR-mediated hepatocytes. To investigate potential impact variations on...
SUMMARY Acyl‐acyl carrier protein (ACP) thioesterases (FAT) hydrolyze acyl‐ACP complexes to release FA in plastids, which ultimately affects biosynthesis and profiles. Soybean GmFATA1 GmFATA2 are homoeologous genes encoding oleoyl‐ACP whose role seed oil accumulation plant growth has not been defined. Using CRISPR/Cas9 gene editing mutation of Gmfata1 or 2 led reduced leaf content defect at the early seedling stage. In contrast, no homozygous double mutants were obtained. Combined this...
The increasing number of scRNA-seq data emphasizes the need for integrative analysis to interpret similarities and differences between single-cell samples. Although different batch effect removal methods have been developed, none are suitable heterogeneous samples coming from multiple biological conditions. We propose a method, scINSIGHT, learn coordinated gene expression patterns that common among, or specific to, conditions, identify cellular identities processes across compare scINSIGHT...
Ovarian cancer remains a dismal disease with diagnosing in the late, metastatic stages, therefore, there is growing realization of critical need to develop effective biomarkers for understanding underlying mechanisms. Although existing evidences demonstrate important role single genetic abnormality pathogenesis, perturbations interactors complex network are often ignored. Moreover, ovarian diagnosis and treatment still exist large gap that be bridged. In this work, we adopted network-based...
Analyzing single-cell RNA sequencing (scRNA-seq) data remains a challenge due to its high dimensionality, sparsity and technical noise. Recognizing the benefits of dimensionality reduction in simplifying complexity enhancing signal-to-noise ratio, we introduce scBiG, novel graph node embedding method designed for representation learning scRNA-seq data. scBiG establishes bipartite connecting cells expressed genes, then constructs multilayer convolutional network learn cell gene embeddings....
The integration of single-cell RNA sequencing data from multiple experimental batches and diverse biological conditions holds significant importance in the study cellular heterogeneity.
China has a low incidence of type 1 diabetes mellitus (T1DM); however, based on the large population, absolute numbers are high. Our aim was to assess childhood T1DM in Beijing during 2011-2020, predicted for 2025-2035, and determine diabetic ketosis or ketoacidosis (DK/DKA) this population.Data patients aged less than 15 years age with newly diagnosed between January 1, 2011 December 31, 2020 obtained from five tertiary hospitals retrospectively analyzed.In all, 636 children were 2011-2020....
The influence of impeller type on the liquid–liquid dispersion system was investigated by computational fluid dynamics coupled with population balance model (PBM). Rushton turbine (RT), pitched-blade (PBT), and parabolic blade (PB) produce different flow fields turbulence distribution. droplet size distribution (DSD), breakage frequency, coalescence rate were predicted Alopaeus CT model. simulated velocity field DSD validated particle image velocimetry analysis, respectively. analysis...
Synthetic biologists have developed DNA/molecular modules that perform genetic logic operations in living cells to track key moments a cell's life or change the fate of cell. Increasing evidence has also revealed diverse gates capable generating Boolean function play critically important roles synthetic biology. Basic been designed combine biological science with digital logic. SynBioLGDB ( http://bioinformatics.ac.cn/synbiolgdb/ ) aims provide biology community useful resource for efficient...
Abstract Motivation Since the development of single-cell RNA sequencing (scRNA-seq) technologies, clustering analysis gene expression data has been an essential tool for distinguishing cell types and identifying novel types. Even though many methods have available scRNA-seq analysis, majority them are constrained by requirement on predetermined cluster numbers or dependence selected initial assignment. Results In this article, we propose adaptive embedding method named scAce, which...
Random noise, which has a significant impact on subsequent processing and interpretation, easily interferes with seismic data. Current convolutional neural networks (CNN) use single-stage technique to boost network capacity by exploiting the complicated structure, but performance of becomes saturated prone overfitting at certain stage. Hence, we propose two-stage U-Net denoising supervised attention module (UNet-SAM). In this algorithm, first stage obtains pre-denoising results, while second...
The integration of single-cell RNA sequencing (scRNA-seq) data from multiple experimental batches enables more comprehensive characterizations cell states. Given that existing methods disregard the structural information between cells and genes, we proposed a structure-preserved scRNA-seq approach using heterogeneous graph neural network (scHetG). By establishing represents interactions combining with contrastive learning, scHetG concurrently obtained gene embeddings information. A...
Abstract The increasing number of scRNA-seq data emphasizes the need for integrative analysis to interpret similarities and differences between single-cell samples. Even though different batch effect removal methods have been developed, none existing is suitable het-erogeneous samples coming from multiple biological conditions. To address this challenge, we propose a method named scINSIGHT learn coordinated gene expression patterns that are common among or specific conditions, offering...
Objective To analyze the epidemiological features, clinical classification, manifestation and detection of islet autoantibody children with diabetes hospitalized in a single center. Methods A retrospective analysis was performed on 431 patients newly diagnosed at Department Endocrinology, Capital Institute Pediatrics-Peking University Teaching Hospital from January 2010 to December 2016.The medical records, including number per year, proportion various types diabetes, children′s...
Objective To investigate the prevalence and risk factors of Blastocystis hominis infections among AIDS patients in Nanchang City. Methods A cross-sectional questionnaire survey was conducted City during period between May September, 2016. B. infection detected patients’stool samples using a PCR assay, CD4 + T cell count measured subjects’blood samples. In addition, were identified univariate multivariate logistic regression analyses. Results from to September total 505 investigated, 4.16%....