Ankush Sharma

ORCID: 0000-0002-1399-7503
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About
Contact & Profiles
Research Areas
  • Bioinformatics and Genomic Networks
  • Single-cell and spatial transcriptomics
  • Epigenetics and DNA Methylation
  • Cancer Genomics and Diagnostics
  • Cancer Immunotherapy and Biomarkers
  • Sirtuins and Resveratrol in Medicine
  • Lymphoma Diagnosis and Treatment
  • Machine Learning and Data Classification
  • RNA Research and Splicing
  • Cardiac Fibrosis and Remodeling
  • Hepatocellular Carcinoma Treatment and Prognosis
  • T-cell and B-cell Immunology
  • CAR-T cell therapy research
  • Mitochondrial Function and Pathology
  • Artificial Intelligence in Healthcare
  • Histone Deacetylase Inhibitors Research
  • Genetic Neurodegenerative Diseases
  • Gastric Cancer Management and Outcomes
  • Immune Cell Function and Interaction
  • Pancreatic function and diabetes
  • Anomaly Detection Techniques and Applications
  • Cardiac Valve Diseases and Treatments
  • Cell Image Analysis Techniques
  • Advanced Biosensing Techniques and Applications
  • Peptidase Inhibition and Analysis

Oslo University Hospital
2020-2024

University of Oslo
2019-2024

Cancer Registry of Norway
2023

Lovely Professional University
2021

Wright State University
2017-2018

Erasmus MC
2018

Indo Soviet Friendship College of Pharmacy
2017-2018

University of California, Irvine Medical Center
2015-2017

University of Miami
2017

St. Stephen’s Hospital
2016-2017

Metal nanoparticles (NPs) may have the potential to overcome problems related conventional chemotherapy. NPs reported play a beneficial and powerful role in cancer therapy providing better targeting, gene silencing drug delivery. Functionalised metal with targeting ligands offer control of energy deposition tumours. Apart from therapeutic benefits, are also used as diagnostic tool for imaging cells. NP-based systems not only provide simultaneous but allow controlled targeted release which...

10.1080/1061186x.2017.1400553 article EN Journal of drug targeting 2017-11-02

Treating patients undergoing chemotherapy who display findings of liver toxicity, requires a solid understanding these medications. It is important for any clinician to have an index suspicion toxicity and be able recognize it, even on imaging. Cancer has evolved, newer medications that target cell biology different pattern may differ from the more traditional cytotoxic agents. There are several hepatic conditions can result keen clinical as well radiographic recognition paramount....

10.3350/cmh.2014.20.3.317 article EN cc-by-nc Clinical and Molecular Hepatology 2014-01-01

Sirtuins genes are widely distributed by evolution and have been found in eubacteria, archaea eukaryotes. While prokaryotic archeal species usually one or two sirtuin homologs, humans as well eukaryotes we multiple versions mammals this family is comprised of seven different homologous proteins being all NAD-dependent de-acylases. 3D structures human SIRT2, SIRT3, SIRT5 revealed the overall conformation conserved core domain but they were unable to give a structural information about...

10.1186/1471-2148-13-60 article EN cc-by BMC Evolutionary Biology 2013-01-01

Follicular lymphoma (FL) is the most common indolent type of B-cell non-Hodgkin lymphoma. Advances in treatment have improved overall survival, but early relapse or transformation to aggressive disease associated with inferior outcome. To identify genetic events and track tumor clonal evolution, we performed multi-omics analysis 94 longitudinal biopsies from 44 FL patients; 22 (tFL) without (nFL). Deep whole-exome sequencing confirmed recurrent mutations genes encoding epigenetic regulators...

10.1038/s41408-024-01124-5 article EN cc-by-nc-nd Blood Cancer Journal 2024-08-27

Machine learning (ML) has emerged as a vital asset for researchers to analyze and extract valuable information from complex datasets. However, developing an effective robust ML pipeline can present real challenge, demanding considerable time effort, thereby impeding research progress. Existing tools in this landscape require profound understanding of principles programming skills. Furthermore, users are required engage the comprehensive configuration their obtain optimal performance. To...

10.1093/gigascience/giad111 article EN cc-by GigaScience 2024-01-01

Sirtuin family, in humans as well all mammalia, is composed by seven different homologous proteins with NAD-dependent deacetylase/ADP-ribosyltransferase activity. Numerous studies have determined their cellular location and biological functions. In particular, Sirt-1 defined a nuclear protein involved the molecular mechanisms of inflammation neurodegeneration through de-acetylation many substrates (PGC-α, FOXOs, NFκB). However experimental data mouse suggest both its cytoplasmatic presence...

10.3389/fphar.2012.00040 article EN cc-by Frontiers in Pharmacology 2012-01-01

Tumor-infiltrating regulatory T cells (Tregs) contribute to an immunosuppressive tumor microenvironment. Despite extensive studies, the prognostic impact of tumor-infiltrating Tregs in B-cell non-Hodgkin lymphomas (B-NHLs) remains unclear. Emerging studies suggest substantial heterogeneity phenotypes and suppressive capacities Tregs, emphasizing importance understanding Treg diversity need for additional markers identify highly Tregs. Here, we applied single-cell RNA sequencing T-cell...

10.1182/bloodadvances.2023010158 article EN cc-by-nc-nd Blood Advances 2023-11-30

10.1016/j.bbapap.2013.06.012 article EN Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics 2013-06-28

This study highlights the relevance of network-guided controllability analysis as a precision oncology tool. Target through networks is potentially relevant to cancer research for identification therapeutic targets. With reference recent on multiple phenotypes from 22 osteosarcoma (OS) cell lines characterized both in vitro and vivo, we found that variety critical proteins OS regulation circuits were part phenotype specific shared. To generalize our inference approach match phenotypic...

10.3389/fimmu.2017.00918 article EN cc-by Frontiers in Immunology 2017-07-31

Prenatal paracetamol exposure has been associated with neurodevelopmental outcomes in childhood. Pharmacoepigenetic studies show differences cord blood DNA methylation between unexposed and paracetamol-exposed neonates, however, causality impact of long-term prenatal on brain development remain unclear. Using a multi-omics approach, we investigated the effects an

10.1016/j.isci.2023.107755 article EN cc-by iScience 2023-08-28

Neuronal differentiation of pluripotent stem cells is an established method to study physiology, disease, and medication safety. However, the sequence events in human neuronal ability vitro models recapitulate early brain development are poorly understood. We developed a protocol optimized for neuropharmacological applications. comprehensively characterized gene expression epigenetic profiles at four timepoints, because differentiate from embryonic towards heterogeneous population...

10.1016/j.isci.2022.105279 article EN cc-by iScience 2022-10-04

Cardiovascular disease is the main cause of death worldwide, making it crucial to search for new therapies mitigate major adverse cardiac events (MACEs) after a ischemic episode. Drugs in class glucagon-like peptide-1 receptor agonists (GLP1Ra) have demonstrated benefits heart function and reduced incidence MACE patients with diabetes. Previously, we that short-acting GLP1Ra known as DMB (2-quinoxalinamine,...

10.3390/ijms22168711 article EN International Journal of Molecular Sciences 2021-08-13

Mapping of chromatin accessibility landscapes in single-cells and the integration with gene expression enables a better understanding regulatory mechanisms defining cell identities cell-fate determination development disease. Generally, raw data generated from single-cell Assay for Transposase-Accessible Chromatin sequencing (scATAC-seq) are deposited repositories that generally inaccessible due to lack in-depth knowledge computational programming.We have developed ShinyArchR.UiO, an R-based...

10.1093/bioinformatics/btab680 article EN cc-by-nc Bioinformatics 2021-09-24

Abstract Background Machine learning (ML) has emerged as a vital asset for researchers to analyze and extract valuable information from complex datasets. However, developing an effective robust ML pipeline can present real challenge, demanding considerable time effort, thereby impeding research progress. Existing tools in this landscape require profound understanding of principles programming skills. Furthermore, users are required engage the comprehensive configuration their obtain optimal...

10.1101/2023.07.04.546825 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2023-07-04
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