A5024552279- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Immunotherapy and Immune Responses
- Computational Drug Discovery Methods
- Gene expression and cancer classification
- Amyotrophic Lateral Sclerosis Research
- Immune cells in cancer
- Prostate Cancer Treatment and Research
- Neurogenetic and Muscular Disorders Research
- Ferroptosis and cancer prognosis
- COVID-19 Impact on Reproduction
- Energy, Environment, Economic Growth
- Fungal and yeast genetics research
- Immune Cell Function and Interaction
- Artificial Intelligence in Healthcare
- Immune responses and vaccinations
- Cancer Genomics and Diagnostics
- COVID-19 Pandemic Impacts
- Cancer, Lipids, and Metabolism
- Alzheimer's disease research and treatments
- Zoonotic diseases and public health
- Cancer-related molecular mechanisms research
- Urban Transport and Accessibility
- Advanced Data Processing Techniques
- Cancer Immunotherapy and Biomarkers
Norwegian University of Science and Technology
2024
Jawaharlal Nehru University
2020-2022
Breast cancer (BC) is a leading cause of cancer-related death worldwide. The diverse nature and heterogeneous biology BC pose challenges for survival prediction, as patients with similar diagnoses often respond differently to treatment. Clinically relevant intrinsic subtypes have been established through gene expression profiling are implemented in the clinic. While these show significant association clinical outcomes, their long-term prediction beyond 5 years deviates from expected...
Coronavirus disease 2019 (COVID-19) is a severe acute respiratory syndrome caused by 2 (SARS-CoV-2). In the light of its rapid global spreading, on 11 March 2020, World Health Organization has declared it pandemic. Interestingly, spreading not uniform, but so far left some countries relatively less affected. The reason(s) for this anomalous behavior are fully understood, distinct hypotheses have been proposed. Here we discuss plausibility two them: universal vaccination with Bacillus...
Abstract Prostate cancer treatment resistance is a significant challenge facing the field. Genomic and transcriptomic profiling have partially elucidated mechanisms through which cells escape treatment, but their relation toward tumor microenvironment (TME) remains elusive. Here we present comprehensive landscape of prostate TME at multiple points in standard timeline employing single-cell RNA-sequencing spatial transcriptomics data from 120 patients. We identify club-like as key epithelial...
Abstract Understanding the molecular characteristics and changes of tumor microenvironment (TME) associated with aggressive prostate cancer (PCa) is essential for precise diagnosis treatment. We interrogated spatially resolved integrated transcriptomics metabolomics data to build strafiers discriminating patients aggressive, potentially relapsing, metastasizing PCa. report a relapse (RA) gene expression signature characterized by upregulated immune response related scoring high in cancer,...
Abstract Prostate cancer treatment resistance is a significant challenge facing the field. Genomic and transcriptomic profiling have partially elucidated mechanisms through which cells escape treatment, but their relation toward tumor microenvironment (TME) remains elusive. Here we present comprehensive landscape of prostate TME at multiple points in standard timeline employing single-cell RNA-sequencing spatial transcriptomics data from 110 patients. We identify club-like as key epithelial...
Over the last two decades, pathogenic aggregation of TAR DNA-binding protein 43 (TDP-43) is found to be strongly associated with several fatal neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTD), etc. While mutations truncation in TDP-43 have been suggested responsible for pathogenesis by accelerating process, effects these on bio-mechanism pathological remained poorly understood. Investigating this at molecular level, we...
Abstract Alzheimer’s disease (AD) is a progressive neurodegenerative disorder whose aetiology currently unknown. Although numerous studies have attempted to identify the genetic risk factor(s) of AD, interpretability and/or prediction accuracies achieved by these remained unsatisfactory, reducing their clinical significance. Here, we employ ensemble random-forest and regularized regression model (LASSO) AD-associated microarray datasets from four brain regions - Prefrontal cortex, Middle...
1. Abstract Protein-protein interactions (PPIs) are a vital phenomenon for every biological process. Prediction of PPI can be very helpful in the probing protein functions which further help development new and powerful therapy designs disease prevention. A lot experimental studies have been done previously to study PPIs. However, lab-based prediction resource-extensive time-consuming. In recent years, several high throughput, computational approaches predict developed but they could...
Abstract Background On March 11, 2020, The World Health Organization (WHO) declared coronavirus disease (COVID-19) as a global pandemic. There emerged need for reliable models to estimate the imminent incidence and overall assessment of outbreak, in order develop effective interventions control strategies. One such vital metrics monitoring transmission trends over time is time-dependent reproduction number ( R t ). an secondary cases caused by infected individual at during given that certain...
Abstract Over the last two decades, pathogenic aggregation of TAR DNA-binding protein 43 (TDP-43) is found to be strongly associated with several fatal neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) and frontotemporal lobar degeneration (FTD), etc. While mutations truncation in TDP-43 have been suggested responsible for pathogenesis by accelerating process, effects these on bio-mechanism pathologic remained poorly understood. Investigating this at molecular level, we...