A5011608097- Target Tracking and Data Fusion in Sensor Networks
- Cancer-related molecular mechanisms research
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Distributed Sensor Networks and Detection Algorithms
- Microwave Imaging and Scattering Analysis
- Cancer Genomics and Diagnostics
- HER2/EGFR in Cancer Research
- Gaussian Processes and Bayesian Inference
- Ultrasonics and Acoustic Wave Propagation
- Epigenetics and DNA Methylation
- Statistical Mechanics and Entropy
- Cytokine Signaling Pathways and Interactions
- Marine and coastal ecosystems
- Amino Acid Enzymes and Metabolism
- Plant Gene Expression Analysis
- Electromagnetic Simulation and Numerical Methods
- Genomics and Phylogenetic Studies
- MicroRNA in disease regulation
- Domain Adaptation and Few-Shot Learning
- Ferroptosis and cancer prognosis
- Bayesian Methods and Mixture Models
- Fungal Biology and Applications
- Ultra-Wideband Communications Technology
- Folate and B Vitamins Research
National Institute of Environmental Health Sciences
2017-2021
Shihezi University
2020
University of Tennessee at Knoxville
2013-2016
Knoxville College
2014
King's College London
2006-2007
The Cancer Genome Atlas (TCGA) has generated comprehensive molecular profiles. We aim to identify a set of genes whose expression patterns can distinguish diverse tumor types. Those features may serve as biomarkers for diagnosis and drug development. Using RNA-seq data, we undertook pan-cancer classification 9,096 TCGA samples representing 31 randomly assigned 75% into training 25% testing, proportionally allocating from each type. could correctly classify more than 90% the test samples....
Methionine restriction, a dietary regimen that protects against metabolic diseases and aging, represses cancer growth improves therapy. However, the response of different cells to this nutritional manipulation is highly variable, molecular determinants heterogeneity remain poorly understood. Here we report hepatocyte nuclear factor 4α (HNF4α) dictates sensitivity liver methionine restriction. We show hepatic sulfur amino acid (SAA) metabolism under transcriptional control HNF4α. Knocking...
Quantifying cell-type proportions and their corresponding gene expression profiles in tissue samples would enhance understanding of the contributions individual cell types to physiological states tissue. Current approaches that address heterogeneity have drawbacks. Experimental techniques, such as fluorescence-activated sorting, single RNA sequencing are expensive. Computational use data from heterogeneous promising, but most current methods estimate either or cell-type-specific by requiring...
As there is growing evidence for the tumor microenvironment's role in tumorigenesis, we investigated of fibroblast-expressed kinases triple-negative breast cancer (TNBC). Using a high-throughput kinome screen combined with 3D invasion assays, identified PIK3Cδ (f-PIK3Cδ) as key regulator progression. Although was expressed primary fibroblasts derived from TNBC patients, it barely detectable (BC) cell lines. Genetic and pharmacological gain- loss-of-function experiments verified contribution...
Biological tissues consist of heterogenous populations cells. Because gene expression patterns from bulk tissue samples reflect the contributions all cells in tissue, understanding contribution individual cell types to overall is fundamentally important. We recently developed a computational method, CDSeq, that can simultaneously estimate both sample-specific cell-type proportions and cell-type-specific profiles using only RNA-Seq counts multiple samples. Here we present an R implementation...
It is always crucial to have an accurate human tissue model for bio-electromagnetic analysis by using the frequency-dependent finite-difference time-domain ((FD)2TD) method. A new approach proposed that constructs a Debye-type equation perform Cole-Cole dispersion in (FD)2TD The extremely flexible and promising representing different tissues, same strategy can be applied frequency spectra. provides precise outcomes, but requires only simple implementation. results obtained found particularly...
Abstract The cell type composition of many biological tissues varies widely across samples. Such sample heterogeneity hampers efforts to probe the role each in tissue microenvironment. Current approaches that address this issue have drawbacks. Cell sorting or single-cell based experimental techniques disrupt situ interactions and alter physiological status cells tissues. Computational methods are flexible promising; but they often estimate either sample-specific proportions...
Mitogen-activated protein kinase (MAPKK or MKK) is an important component of the MAPK cascade, which plays roles in plant growth and development as well various stress responses. At present, MKK gene family has been identified a variety plants, but there no systematic study Cruciferous Arabidopsis pumila. To explore evolution function pumila, 16 ApMKK genes were from pumila genome by genome-wide analysis, they distributed on 10 chromosomes According to phylogenetic analysis multiple sequence...
In this paper, we present a method for respiratory monitoring which uses UWB signaling to detect the displacement of human chest. Compared other techniques that use more narrowband sources, offers several unique advantages, including improved resolution ability, no need direct skin contact, lower cost and power consumption, among others. We system setup, discuss model thorax, focus on signal processing steps used at receiver. particular, high-resolution frequency domain approach detecting...
Abstract As there is growing evidence for the tumor microenvironment’s (TME) role in tumorigenesis, we sought to investigate of fibroblast-expressed kinases triple negative breast cancer (TNBC). Using a high-throughput kinome screen combined with 3D invasion assays, identified PIK3Cδ (f-PIK3Cδ) as key regulator progression. Although has been mainly described leucocytes, detected high expression primary fibroblasts derived from TNBC patients, while was undetectable epithelial cell lines....
Abstract Background Biological tissues consist of heterogenous populations cells. Because gene expression patterns from bulk tissue samples reflect the contributions all cells in tissue, understanding contribution individual cell types to overall is fundamentally important. We recently developed a computational method, CDSeq, that can simultaneously estimate both sample-specific cell-type proportions and cell-type-specific profiles using only RNA-Seq counts multiple samples. Here we present...