A5045137247- Cancer Genomics and Diagnostics
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Liver Disease Diagnosis and Treatment
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Genetic factors in colorectal cancer
- Renal Diseases and Glomerulopathies
- Cancer-related molecular mechanisms research
- Genetic Syndromes and Imprinting
- Hepatitis C virus research
- Metastasis and carcinoma case studies
- Advanced Proteomics Techniques and Applications
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- BRCA gene mutations in cancer
- Gene Regulatory Network Analysis
- RNA and protein synthesis mechanisms
- Chronic Kidney Disease and Diabetes
- Kruppel-like factors research
- RNA modifications and cancer
- Glycosylation and Glycoproteins Research
- Radiomics and Machine Learning in Medical Imaging
Mayo Clinic
2021
The University of Texas Southwestern Medical Center
2019
University of Hong Kong
2016-2018
Vitalant
2018
Mayo Clinic in Florida
2018
Mayo Clinic in Arizona
2017
Chinese University of Hong Kong
2016
Icahn School of Medicine at Mount Sinai
2014
Boston University
2014
Linnorm is a novel normalization and transformation method for the analysis of single cell RNA sequencing (scRNA-seq) data. developed to remove technical noises simultaneously preserve biological variations in scRNA-seq data, such that existing statistical methods can be improved. Using real we compared with methods, including NODES, SAMstrt, SCnorm, scran, DESeq TMM. shows advantages speed, noise removal preservation heterogeneity, which improve discovery subtypes, pseudo-temporal ordering...
<h3>Objective</h3> The number of patients with HCV-related cirrhosis is increasing, leading to a rising risk complications and death. Prognostic stratification in early-stage still challenging. We aimed develop validate clinically useful prognostic index based on genomic clinical variables identify at high disease progression. <h3>Design</h3> developed index, comprised 186-gene signature validated our previous genome-wide profiling study, bilirubin (>1 mg/dL) platelet count (<100...
A glycoprotein may contain several sites of glycosylation, each which is heterogeneous. As a consequence glycoform diversity and signal suppression from nonglycosylated peptides that ionize more efficiently, typical reversed-phase LC-MS bottom-up proteomics database searching workflows do not perform well for identification site-specific glycosylation complex glycoproteins. We present an system enrichment, separation, analysis glycopeptides glycoproteins (>4 N-glycosylation sequons) in...
IgA nephropathy(IgAN) is the most common primary glomerular disease in China. Primary infections always occur before IgAN. However, pathology of IgAN still unclear. Previously we found that LL37, a protein secreted by senescent cells, was specific for progression IgAN, and also played role neutrophil function. So hypothesized infiltration neutrophils, inflammation factors, aging markers , which were modulated functional networks, induced immune response renal injury. RNA-Sequencing (RNA-seq)...
Abstract Background: Plasma WGS for non-invasive cancer detection has been an active area of research, where fragmentomics studies have gaining attention its promising results. Previous showed that the quantity short and long fragments could be used prognosis malignant tumor. In this study, efficacy fragment read depth on reference genome nodule was evaluated. Methods: samples from 40 patients with Indeterminate Pulmonary Nodules (IPN) (20 Benign nodule, 20 Malignant) were collected WGS. Low...
Abstract Background: Recent studies have identified blood plasma DNA as a rich source of biomarkers for non-invasive cancer detection. In particular, analysis shorter fragments or “fragmentomics” shown promising results with numerous competing approaches such those based on mutation calls, length distributions, preferred fragmentation patterns. this study, we assessed the potential fragment end motif distributions in discriminating patients lung adenocarcinoma versus benign tumors. Methods:...
Prognostic biomarker is vital in the management of progressive chronic diseases such as liver cirrhosis, affecting 1-2% global population and causing over 1 million deaths every year. Despite numerous candidate biomarkers literature, costly lengthy process validation hampers their clinical translation. Existing omics databases are not suitable for silico due to ignorance critical factors, i.e., study design, context application, statistical power. To address unmet need, we have developed...