A5000760930- Bioinformatics and Genomic Networks
- High Temperature Alloys and Creep
- Microstructure and mechanical properties
- Photosynthetic Processes and Mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Computational Drug Discovery Methods
- Metallurgy and Material Forming
- Traumatic Brain Injury and Neurovascular Disturbances
- Plant Gene Expression Analysis
- Neuroendocrine Tumor Research Advances
- Single-cell and spatial transcriptomics
- Lung Cancer Research Studies
- SARS-CoV-2 and COVID-19 Research
- Plant-Microbe Interactions and Immunity
- Fluid Dynamics and Vibration Analysis
- Hidradenitis Suppurativa and Treatments
- Facial Nerve Paralysis Treatment and Research
- Peripheral Neuropathies and Disorders
- Inflammasome and immune disorders
- Skin Protection and Aging
- Aerodynamics and Acoustics in Jet Flows
- Transcranial Magnetic Stimulation Studies
- Topic Modeling
- Acute Myeloid Leukemia Research
- Artificial Intelligence in Healthcare
Banaras Hindu University
2011-2025
University of Alabama at Birmingham
2018-2025
Indian Institute of Technology BHU
2022-2025
University of Delhi
2025
Indian Institute of Technology Indore
2024
Narayana Nethralaya
2024
Indira Gandhi Agricultural University
2022-2024
SRM Institute of Science and Technology
2024
All India Institute of Medical Sciences
2019-2023
Institut de Recherche Dupuy de Lôme
2023
COVID-19 (coronavirus disease 2019) is a respiratory illness caused by severe acute syndrome coronavirus 2 (SARS-CoV-2). Although the pathophysiology of this virus complex and largely unknown, we employed network-biology-fueled approach integrated transcriptome data pertaining to lung epithelial cells with human interactome generate Calu-3-specific human-SARS-CoV-2 (CSI). Topological clustering pathway enrichment analysis show that SARS-CoV-2 targets central nodes host-viral network, which...
The regulation of gene expression in plant responses to drought has been thoroughly investigated previous studies. Despite this, a detailed understanding the cell type-specific regulatory mechanisms, encompassing multi-layered biological processes, is lacking. In this study, we report use single-nucleus multiomic analysis Arabidopsis seedlings response stress. Our single-nuclei RNA (snRNA) delineated 14 distinct clusters representing major root and shoot types discovered new markers....
Biological networks are often large and complex, making it difficult to accurately identify the most important nodes. Node prioritization algorithms used influential nodes in a biological network by considering their relationships with other These can help us understand functioning of role individual We developed CentralityCosDist, an algorithm that ranks based on combination centrality measures seed applied this four protein-protein interactions co-expression patterns Arabidopsis thaliana...
Understanding the intricacies of genes function within biological systems is paramount for scientific advancement and medical progress. Owing to evolving landscape this research complexity processes, however, task presents challenges. We introduce PATHAK, a natural language processing (NLP)-based method that mines relationships between their functions from published articles. PATHAK utilizes pre-trained Transformer model generate sentence embeddings vast dataset documents. This enables...
Significance This study validates a path toward personalized medicine that utilizes survey of the effective signaling state tumors via posttranslational modification analysis as diagnostic alternative to direct examination genetic mutations. Here, this approach is utilized identify biomarkers for Cdk5-driven tumors. The same could be adapted markers other tumor drivers. As number cancer types in which Cdk5 implicated rising and drugs with potential selectively target are moved clinic,...
Disrupted synaptic plasticity is the hallmark of major depressive disorder (MDD), with accompanying changes at molecular and cellular levels. Often, maladaptive synapse are result global transcriptional reprogramming dictated by activity-dependent modulation. Thus far, no study has directly studied transcriptome-wide expression locally in MDD brain. Here, we have examined altered transcriptomics their functional relevance a focus on dorsolateral prefrontal cortex (dlPFC). RNA was isolated...
Network science identifies key players in diverse biological systems including host-pathogen interactions. We demonstrated a scale-free network property for comprehensive rice protein-protein interactome (RicePPInets) that exhibits nodes with increased centrality indices. While weighted k-shell decomposition was shown efficacious to predict pathogen effector targets Arabidopsis, we improved its computational code broader implementation on large-scale networks RicePPInets. determined residing...
Drought is one of the most serious abiotic stressors in environment, restricting agricultural production by reducing plant growth, development, and productivity. To investigate such a complex multifaceted stressor its effects on plants, systems biology-based approach necessitated, entailing generation co-expression networks, identification high-priority transcription factors (TFs), dynamic mathematical modeling, computational simulations. Here, we studied high-resolution drought...
Hidradenitis suppurativa (HS) is a chronic, debilitating inflammatory skin disease with poorly understood immunopathogenesis. Here, we report that HS lesional characterized by the expansion of innate lymphocytes and T cells expressing CD2, an essential activation receptor adhesion molecule. Lymphocytes elevated CD2 predominated unique spatial distribution throughout epidermis hypodermis in lesion. + were mainly NK cell marker, CD56, CD4 cells. Importantly, these interacted CD58 (LFA3)...
Abstract Age-dependent senescence is a multifaceted and highly coordinated developmental phase in the life of plants that manifested with genetic, biochemical phenotypic continuum. Thus, elucidating dynamic network modeling simulation molecular events, particular gene regulatory during onset essential. Here, we constructed computational pipeline integrates senescence-related co-expression networks transcription factor (TF)-promoter relationships microRNA (miR)-target interactions. Network...
Pancreatic neuroendocrine tumors (PanNETs) are a heterogeneous population of neoplasms that arise from hormone-secreting islet cells the pancreas and have increased markedly in incidence over past four decades. Non-functional PanNETs, which occur more frequently than tumors, often not diagnosed until later stages tumor development poorer prognoses. Development successful therapeutics for PanNETs has been slow, partially due to lack diverse animal models pre-clinical testing. Here, we report...
Abstract Melanocyte stem cells (McSCs) of the hair follicle are a rare cell population within skin and notably underrepresented in whole‐skin, single‐cell RNA sequencing (scRNA‐seq) datasets. Using enrichment strategy to isolate KIT+/CD45− from telogen adult female C57BL/6J mice, we evaluated transcriptional landscape quiescent McSCs (qMcSCs) at high resolution. Through this evaluation, confirmed existing molecular signatures for qMcCS subpopulations (e.g., Kit+ , Cd34+/− Plp1+ Cd274+/−...
Abstract Understanding the intricacies of genes function within biological systems is paramount for scientific advancement and medical progress. Owing to evolving landscape this research complexity processes, however, task presents challenges. We introduce PATHAK, a natural language processing (NLP)-based method that mines relationships between their functions from published articles. PATHAK utilizes pre-trained Transformer model generate sentence embeddings vast dataset documents. This...