A5042102236- MicroRNA in disease regulation
- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Dementia and Cognitive Impairment Research
- Cancer-related molecular mechanisms research
- RNA modifications and cancer
- Circular RNAs in diseases
- Neuroscience and Neural Engineering
- RNA Research and Splicing
- Alzheimer's disease research and treatments
- Cancer Genomics and Diagnostics
- Computational Drug Discovery Methods
- Cerebrovascular and Carotid Artery Diseases
- Acute Ischemic Stroke Management
- DNA and Biological Computing
- Plant Reproductive Biology
- Cancer Cells and Metastasis
- Neurogenetic and Muscular Disorders Research
- Molecular Biology Techniques and Applications
- Animal Genetics and Reproduction
- Algorithms and Data Compression
- Ferroptosis and cancer prognosis
- Extracellular vesicles in disease
Singapore General Hospital
2024
Lancashire Teaching Hospitals NHS Foundation Trust
2023
Pfizer (United States)
2014-2020
Vellore Institute of Technology University
2019
Eli Lilly (United States)
2014-2016
University of Missouri–Kansas City
2007-2012
Stowers Institute for Medical Research
2008-2010
The aim of this study is to use classification methods predict future onset Alzheimer's disease in cognitively normal subjects through automated linguistic analysis.To performance as an early biomarker AD, we performed predictive modeling diagnosis AD from a baseline Framingham Heart Study participants. variables were derived written responses the cookie-theft picture-description task. We compared with clinical and neuropsychological variables. included 703 samples 270 participants out which...
Peritoneal metastasis (PM) in gastric cancer (GC) is associated with poor prognosis and significant morbidity. We sought to understand the genomic, transcriptomic, tumor microenvironment (TME) features that contribute peritoneal organotropism GC.
MicroRNAs (miRNAs) are small, non-coding RNAs that regulate protein levels post-transcriptionally. miRNAs play important regulatory roles in many cellular processes and have been implicated several diseases. Recent studies reported significant of a variety body fluids, raising the possibility could serve as useful biomarkers. Next-generation sequencing (NGS) is increasingly employed biomedical investigations. Although concordance between this platform qRT-PCR based assays has high quality...
MicroRNAs (miRNA) are ~19–25 nucleotide long RNA molecules that fine tune gene expression through the inhibition of translation or degradation mRNA incorporation into induced silencing complex (RISC). stable in serum and plasma, detectable a wide variety body fluids, conserved across veterinary species humans expressed tissue specific manner. They can be detected at low concentrations circulation animals humans, generating interest utilization miRNAs as and/or plasma based biomarkers injury....
Genome-wide miRNA expression data can be used to study dysregulation comprehensively. Although many open-source tools for microRNA (miRNA)-seq analyses are available, challenges remain in accurate quantification from large-scale miRNA-seq dataset. We implemented a pipeline called QuickMIRSeq of known miRNAs and isoforms (isomiRs) multiple samples simultaneously.QuickMIRSeq considers the unique nature combines important features into its implementation. First, it takes advantage high...
Abstract Background Considerable progress has been made in our understanding of sex determination and dosage compensation mechanisms model organisms such as C. elegans , Drosophila M. musculus . Strikingly, the mechanism involved are very different among these three organisms. Birds present yet another situation where heterogametic is female. Sex still poorly understood birds few key determinants have so far identified. In contrast to most other species, bird chromosomal genes appears rather...
MicroRNAs (miRNAs) are small, noncoding RNAs that regulate protein levels posttranscriptionally. miRNAs play important regulatory roles in many cellular processes and have been implicated several diseases. Recent studies reported significant of a variety body fluids, raising the possibility could serve as useful biomarkers. Here, changes miRNA expression patterns described 2 different rodent models glomerular injury (acute puromycin aminonucleoside nephropathy passive Heymann nephritis). By...
C5-substituted 2,4-diaminoquinazoline inhibitors of the decapping scavenger enzyme DcpS (DAQ-DcpSi) have been developed for treatment spinal muscular atrophy (SMA), which is caused by genetic deficiency in Survival Motor Neuron (SMN) protein. These compounds are claimed to act as SMN2 transcriptional activators but data underlying that claim equivocal. In addition it unclear whether effects on a direct consequence inhibitor or might be lysosomotropism, known neuroprotective. DAQ-DcpSi were...
Time series RNASeq studies can enable understanding of the dynamics disease progression and treatment response in patients. They also provide information on biomarkers, activated repressed pathways, more. While useful, data from multiple patients is challenging to integrate due heterogeneity among patients, small number timepoints that are usually profiled. Due relying sampled time points across individuals does not lead correct reconstruction patterns. To address these challenges, we...
Analysis of time series transcriptomics data from clinical trials is challenging. Such studies usually profile very few points several individuals with varying response patterns and dynamics. Current methods for these datasets are mainly based on linear, global orderings using visit times which do not account the rates subgroups within a patient cohort.
The widespread use of microarray technology and sequencing genomes has made it increasingly possible to study the cellular sub-systems organisms. Computational techniques applied sequence data annotated with ontologies such as gene ontology (GO) aid in understanding regulatory networks genes. An important related problem is estimation similarity between products based on their annotations. We present an approach compute product that takes into account both hierarchical nature GO...
We have developed the web based tool GOAPhAR (Gene Ontology, Annotations and Pathways for Array Research), that integrates information from disparate sources regarding gene annotations, protein identifiers associated with probe sets, functional pathways, interactions, Gene publicly available microarray datasets tools statistically validating clusters in data. Genes of interest can be input as Affymetrix identifiers, Genbank, or Unigene human, mouse rat genomes. Results are provided a user...
<h3></h3> Cerebral small vessel disease (CSVD) burden is increasing, contributing to stroke, gait disturbance and cognitive decline. Radiological CSVD markers include white matter hyperintensities (WMHs) detected on magnetic resonance imaging (MRI), but these can also be associated with demyelination migraine. To understand the prevalence characteristics of WMHs, we reviewed outcome regional multi-disciplinary team (MDT) meeting for patients referred 2-week wait direct-to-scan suspected...