Tanya C. Petrossian

ORCID: 0000-0002-1205-9144
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Research Areas
  • Cancer-related gene regulation
  • Epigenetics and DNA Methylation
  • Clusterin in disease pathology
  • RNA modifications and cancer
  • Rheumatoid Arthritis Research and Therapies
  • Genomics and Rare Diseases
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Cystic Fibrosis Research Advances
  • Prenatal Screening and Diagnostics
  • Polyamine Metabolism and Applications
  • Psoriasis: Treatment and Pathogenesis
  • Escherichia coli research studies
  • Reliability and Agreement in Measurement
  • S100 Proteins and Annexins
  • Asthma and respiratory diseases
  • Gut microbiota and health
  • Salmonella and Campylobacter epidemiology
  • T-cell and B-cell Immunology
  • Medical Imaging Techniques and Applications
  • Single-cell and spatial transcriptomics
  • Immune Cell Function and Interaction
  • IL-33, ST2, and ILC Pathways
  • Topological and Geometric Data Analysis

Ayasdi (United States)
2014-2017

University of California, Los Angeles
2009

We present a comprehensive analysis of the human methyltransferasome. Primary sequences, predicted secondary structures, and solved crystal structures known methyltransferases were analyzed by hidden Markov models, Fisher-based statistical matrices, fold recognition prediction-based threading algorithms to create model, or profile, each methyltransferase superfamily. These profiles used scan proteome database detect novel methyltransferases. 208 proteins in genome are now identified as...

10.1074/mcp.m110.000976 article EN cc-by Molecular & Cellular Proteomics 2010-10-08

Asthma is a chronic inflammatory disease involving diverse cells and mediators whose interconnectivity relationships to asthma severity are unclear.We performed comprehensive assessment of TH17 cells, regulatory T mucosal-associated invariant (MAIT) other T-cell subsets, granulocyte in asthmatic patients.Sixty patients with mild-to-severe 24 control subjects underwent detailed clinical provided induced sputum, endobronchial biopsy, bronchoalveolar lavage, blood samples. Adaptive cytokines,...

10.1016/j.jaci.2015.01.014 article EN cc-by Journal of Allergy and Clinical Immunology 2015-03-05

Abstract Data-driven discovery in complex neurological disorders has potential to extract meaningful syndromic knowledge from large, heterogeneous data sets enhance for precision medicine. Here we describe the application of topological analysis (TDA) data-driven preclinical traumatic brain injury (TBI) and spinal cord (SCI) mined Visualized Syndromic Information Outcomes Neurotrauma-SCI (VISION-SCI) repository. Through direct visualization inter-related histopathological, functional health...

10.1038/ncomms9581 article EN cc-by Nature Communications 2015-10-14

Traumatic brain injury (TBI) is a complex disorder that traditionally stratified based on clinical signs and symptoms. Recent imaging molecular biomarker innovations provide unprecedented opportunities for improved TBI precision medicine, incorporating patho-anatomical mechanisms. Complete integration of these diverse data diagnosis patient stratification remains an unmet challenge.The Transforming Research Clinical Knowledge in Brain Injury (TRACK-TBI) Pilot multicenter study enrolled 586...

10.1371/journal.pone.0169490 article EN cc-by PLoS ONE 2017-03-03

A new program (Multiple Motif Scanning) was developed to scan the Saccharomyces cerevisiae proteome for Class I S-adenosylmethionine-dependent methyltransferases. Conserved Motifs I, Post II, and III were identified expanded in known methyltransferases by primary sequence secondary structural analysis through hidden Markov model profiling of both a yeast reference database with solved three-dimensional structures. The roles conserved amino acids four motifs methyltransferase structure...

10.1074/mcp.m900025-mcp200 article EN cc-by Molecular & Cellular Proteomics 2009-04-08

Methylation of DNA, protein and even RNA species are integral processes in epigenesis. Enzymes that catalyze these reactions using the donor S-adenosylmethionine fall into several structurally distinct classes. The members each class share sequence similarity can be used to identify additional methyltransferases. Here, we characterize classes silico approaches infer function. Computational methods, such as hidden Markov model profiling Multiple Motif Scanning program, analyze known...

10.2217/epi.09.3 article EN Epigenomics 2009-10-01

Carrier screening for mutations contributing to cystic fibrosis (CF) is typically accomplished with panels composed of variants that are clinically validated primarily in patients European descent. This approach has created a static genetic and phenotypic profile CF. An opportunity now exists reevaluate the disease CFTR at global population level.CFTR allele genotype frequencies were obtained from nonpatient cohort more than 60,000 unrelated personal genomes collected by Exome Aggregation...

10.1038/gim.2015.52 article EN cc-by Genetics in Medicine 2015-04-16

Shiga toxin-producing E. coli O157:H7 and non-O157 have been implicated in many foodborne illnesses caused by the consumption of contaminated fresh produce. However, data on their persistence soils are limited due to complexity datasets generated from different environmental variables bacterial taxa. There is a continuing need distinguish various groups understand relationships among these factors pathogen survival. Using an approach called Topological Data Analysis (TDA); we reconstructed...

10.3389/fcimb.2014.00122 article EN cc-by Frontiers in Cellular and Infection Microbiology 2014-09-05

Background 1.2% of the yeast genes are estimated to encode enzymes that catalyze transfer a methyl group from S-adenosylmethionine (AdoMet) protein, nucleic acid, lipid, and small molecule substrates [1]. These function in biosynthesis, regulating metabolic pathways, controlling gene expression, including writing histone code. BLAST MEME/MAST analysis using amino acid sequence motifs have previously generated list putative Class I methyltransferases [2]. Recently we used combination new...

10.1186/1471-2105-10-s13-p7 article EN cc-by BMC Bioinformatics 2009-10-01

Pulmonary Embolism (PE) is a common and potentially lethal condition. Most patients die within the first few hours from event. Despite diagnostic advances, delays underdiagnosis in PE are common.To increase performance PE, current work-up of with suspected acute pulmonary embolism usually starts assessment clinical pretest probability using plasma d-Dimer measurement prediction rules. The most validated widely used decision rules Wells Geneva Revised scores. We aimed to develop new rule...

10.48550/arxiv.1409.5020 preprint EN other-oa arXiv (Cornell University) 2014-01-01
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