A5100700942- Single-cell and spatial transcriptomics
- Extracellular vesicles in disease
- COVID-19 Clinical Research Studies
- Gene expression and cancer classification
- Anesthesia and Pain Management
- Cardiac, Anesthesia and Surgical Outcomes
- Genetic Associations and Epidemiology
- Liver Disease Diagnosis and Treatment
- Cancer Genomics and Diagnostics
- Microplastics and Plastic Pollution
- Zebrafish Biomedical Research Applications
- Fermentation and Sensory Analysis
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- biodegradable polymer synthesis and properties
- MicroRNA in disease regulation
- Heart Failure Treatment and Management
- Kawasaki Disease and Coronary Complications
- Gout, Hyperuricemia, Uric Acid
- Hip and Femur Fractures
- RNA modifications and cancer
- Genetic Mapping and Diversity in Plants and Animals
- Complex Network Analysis Techniques
- Long-Term Effects of COVID-19
- SARS-CoV-2 and COVID-19 Research
Yili Normal University
2024-2025
Central South University
2025
Third Xiangya Hospital
2025
Yale University
2020-2024
South China Normal University
2024
Weifang Medical University
2024
Shandong First Medical University
2024
Shandong Tumor Hospital
2024
Heilongjiang Bayi Agricultural University
2024
Heilongjiang Provincial Academy of Agricultural Sciences
2024
Abstract Dysregulated immune responses against the SARS-CoV-2 virus are instrumental in severe COVID-19. However, signatures associated with immunopathology poorly understood. Here we use multi-omics single-cell analysis to probe dynamic hospitalized patients stable or progressive course of COVID-19, explore V(D)J repertoires, and assess cellular effects tocilizumab. Coordinated profiling gene expression cell lineage protein markers shows that S100A hi /HLA-DR lo classical monocytes...
Advancing from gene discovery in autism spectrum disorders (ASDs) to the identification of biologically relevant mechanisms remains a central challenge. Here, we perform parallel vivo functional analysis 10 ASD genes at behavioral, structural, and circuit levels zebrafish mutants, revealing both unique overlapping effects loss function. Whole-brain mapping identifies forebrain cerebellum as most significant contributors brain size differences, while regions involved sensory-motor control,...
Abstract A dysregulated immune response against the SARS-CoV-2 virus plays a critical role in severe COVID-19. However, molecular and cellular mechanisms by which causes lethal immunopathology are poorly understood. Here, we utilize multiomics single-cell analysis to probe dynamic responses patients with stable or progressive manifestations of COVID-19, assess effects tocilizumab, an anti-IL-6 receptor monoclonal antibody. Coordinated profiling gene expression cell lineage protein markers...
Background The aim of this study is to evaluate analgesic efficacy pericapsular nerve group (PENG) block in patients with intertrochanteric femur fracture (IFF). Methods This double-blinded randomized controlled trial IFF scheduled for proximal femoral nail antirotation (PFNA) between December 2020 and November 2021. primary outcome was VAS scores during exercising at 6 h after surgery; secondary outcomes were pain rest, intraoperative dose remifentanil, cumulative postoperative fentanyl,...
The pervasive presence of microplastics (MPs) in agroecosystems poses a significant threat to soil health and plant growth. This study investigates the effects varying concentrations sizes polystyrene (PS-MPs) on Solanum lycopersicum L.'s height, dry weight, antioxidant enzyme activities, physicochemical properties, rhizosphere microbial communities. results showed that PS0510 treatment significantly increased height (93.70 cm, +40.83%) weight (2.98 g, +100%). Additionally, activities...
Multisystem inflammatory syndrome in children (MIS-C) is a life-threatening post-infectious complication occurring unpredictably weeks after mild or asymptomatic SARS-CoV2 infection otherwise healthy children. Here, we define immune abnormalities MIS-C compared to adult COVID-19 and pediatric/adult controls using single-cell RNA sequencing, antigen receptor repertoire analysis, unbiased serum proteomics, vitro assays. Despite no evidence of active infection, uncover elevated S100A-family...
Fucosyltransferase 1 encodes a Golgi membrane protein involved in H-antigen precursor production and plays critical role tumor-associated glycosylation angiogenesis. While FUT1 is known to enhance tumor stemness, adhesion, migration, drug resistance specific cancers, its across diverse cancer types association with clinical prognosis molecular features remain unclear. In this study, expression was systematically analyzed 33 using data from multiple public databases, including CCLE, TCGA,...
Human tryptophanyl-tRNA synthetase (hTrpRS) produces a full-length and three N terminus-truncated forms through alternative splicing proteolysis. The shortest fragment that contains the aminoacylation catalytic (T2-hTrpRS) exhibits most potent angiostatic activity. We report here crystal structure of T2-hTrpRS at 2.5 Å resolution, which was solved using multi-wavelength anomalous diffraction method. shares very low sequence homology 22% with Bacillus stearothermophilus TrpRS (bTrpRS);...
Abstract Background Single-cell RNA sequencing (scRNA-seq) technology has enabled assessment of transcriptome-wide changes at single-cell resolution. Due to the heterogeneity in environmental exposure and genetic background across subjects, subject effect contributes major source variation scRNA-seq data with multiple which severely confounds cell type specific differential expression (DE) analysis. Moreover, dropout events are prevalent data, leading excessive number zeroes further...
The recovery of liver mass is mainly mediated by proliferation hepatocytes after 2/3 partial hepatectomy (PH) in rats. Studying the gene expression profiles PH will be helpful to investigate molecular mechanisms regeneration (LR). We report here first application weighted co-expression network analysis (WGCNA) analyze biological implications changes associated with LR. WGCNA identifies 12 specific modules and some hub genes from genome-scale microarray data rat results suggest that...
Many genetic studies contain rich information on longitudinal phenotypes that require powerful analytical tools for optimal analysis. Genetic analysis of data incorporates temporal variation is important understanding the architecture and biological complex diseases. Most existing methods assume contribution variants constant over time fail to capture dynamic pattern disease progression. However, relative influence traits fluctuates time. In this study, we propose a retrospective varying...
Spatial barcoding-based transcriptomic (ST) data require deconvolution for cellular-level downstream analysis. Here we present SDePER, a hybrid machine learning and regression method to deconvolve ST using reference single-cell RNA sequencing (scRNA-seq) data. SDePER tackles platform effects between scRNA-seq data, ensuring linear relationship them while addressing sparsity spatial correlations in cell types across capture spots. estimates cell-type proportions, enabling enhanced resolution...
Head and neck squamous cell carcinoma (HNSCC) accounts for more than half of head tumors, roughly 90%. This study focused on constructing the heterogeneous landscape using single-cell bulk transcriptomic data to identify molecular characteristics microenvironment in primary lymphatic metastatic carcinomas.The enrolled 23 HNSCC samples with scRNA-seq 546 from TCGA. We used Monocle sort cells CellPhoneDB explore cell-cell interactions. Infercnv, which was infer apparent copy number variation...
Single-cell RNA sequencing technology provides an opportunity to study gene expression at single-cell resolution. However, prevalent dropout events result in high data sparsity and noise that may obscure downstream analyses transcriptomic studies. We propose a new method, G2S3, imputes dropouts by borrowing information from adjacent genes sparse graph learned profiles across cells. applied G2S3 ten existing imputation methods eight datasets compared their performance. Our results...
Mollusca is the second largest animal phylum and represents one of most evolutionarily successful groups.
Diffusion models, as a novel generative paradigm, have achieved remarkable success in various image generation tasks such inpainting, image-to-text translation, and video generation. Graph is crucial computational task on graphs with numerous real-world applications. It aims to learn the distribution of given then generate new graphs. Given great diffusion models generation, increasing efforts been made leverage these techniques advance graph recent years. In this paper, we first provide...
Abstract Spatial barcoding-based transcriptomic (ST) data require cell type deconvolution for cellular-level downstream analysis. Here we present SDePER, a hybrid machine learning and regression method, to deconvolve ST using reference single-cell RNA sequencing (scRNA-seq) data. SDePER uses approach remove the systematic difference between scRNA-seq (platform effects) explicitly efficiently ensure linear relationship type-specific expression profile. It also considers sparsity of types per...
Abstract Erythropoietin (EPO) has a beneficial effect on hepatic cell proliferation during liver regeneration. However, the underlying mechanism not yet been elucidated. To uncover response of EPO in rat regeneration after partial hepatectomy (PH) at cellular level, hepatocytes (HCs) were isolated using Percoll density gradient centrifugation. The genes EPO-mediated signaling pathway and target transcription factor (TF) identified TF database search. Their expression profiles then detected...