Naresh Doni Jayavelu
- COVID-19 Clinical Research Studies
- Long-Term Effects of COVID-19
- SARS-CoV-2 and COVID-19 Research
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- Gene Regulatory Network Analysis
- Asthma and respiratory diseases
- Epigenetics and DNA Methylation
- Pediatric health and respiratory diseases
- Plant Stress Responses and Tolerance
- RNA Research and Splicing
- Cancer-related molecular mechanisms research
- Plant Molecular Biology Research
- Neural Networks and Applications
- Reproductive Biology and Fertility
- Plant Gene Expression Analysis
- Immune Cell Function and Interaction
- Respiratory Support and Mechanisms
- Respiratory viral infections research
- COVID-19 and Mental Health
- MicroRNA in disease regulation
- Chromosomal and Genetic Variations
- Photosynthetic Processes and Mechanisms
- Hearing, Cochlea, Tinnitus, Genetics
University of Washington
2017-2025
University of Washington Medical Center
2017-2025
Benaroya Research Institute
2022-2025
Seattle University
2023
Turku Centre for Biotechnology
2016-2017
University of Turku
2016-2017
Åbo Akademi University
2016
Norwegian University of Science and Technology
2013-2015
Abstract Post-acute sequelae of SARS-CoV-2 (PASC) is a significant public health concern. We describe Patient Reported Outcomes (PROs) on 590 participants prospectively assessed from hospital admission for COVID-19 through one year after discharge. Modeling identified 4 PRO clusters based reported deficits (minimal, physical, mental/cognitive, and multidomain), supporting heterogenous clinical presentations in PASC, with sub-phenotypes associated female sex distinctive comorbidities. During...
Better understanding of the association between characteristics patients hospitalized with coronavirus disease 2019 (COVID-19) and outcome is needed to further improve upon patient management.
The IMPACC cohort, composed of >1,000 hospitalized COVID-19 participants, contains five illness trajectory groups (TGs) during acute infection (first 28 days), ranging from milder (TG1–3) to more severe disease course (TG4) and death (TG5). Here, we report deep immunophenotyping, profiling >15,000 longitudinal blood nasal samples 540 participants the using 14 distinct assays. These unbiased analyses identify cellular molecular signatures present within 72 h hospital admission that...
BACKGROUNDPatients hospitalized for COVID-19 exhibit diverse clinical outcomes, with outcomes some individuals diverging over time even though their initial disease severity appears similar to that of other patients. A systematic evaluation molecular and cellular profiles the full course can link immune programs coordination progression heterogeneity.METHODSWe performed deep immunophenotyping conducted longitudinal multiomics modeling, integrating 10 assays 1,152 Immunophenotyping Assessment...
Age is a major risk factor for severe coronavirus disease 2019 (COVID-19), yet the mechanisms behind this relationship have remained incompletely understood. To address this, we evaluated impact of aging on host immune response in blood and upper airway, as well nasal microbiome prospective, multicenter cohort 1031 vaccine-naïve patients hospitalized COVID-19 between 18 96 years old. We performed mass cytometry, serum protein profiling, anti–severe acute respiratory syndrome 2 (SARS-CoV-2)...
Differentially evolved responses to various stress conditions in plants are controlled by complex regulatory circuits of transcriptional activators, and repressors, such as transcription factors (TFs). To understand the general condition-specific activities TFs their relationships with target genes (TGs), we have used a homogeneous gene expression dataset generated on ten natural ecotypes model plant Arabidopsis thaliana, during five single six combined conditions. Knowledge-based profiles...
Abstract The glycosylation of IgG plays a critical role during human severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, activating immune cells and inducing cytokine production. However, the IgM N-glycosylation has not been studied viral infection. analysis from healthy controls hospitalized disease 2019 (COVID-19) patients reveals increased high-mannose sialylation that correlates with COVID-19 severity. These trends are confirmed within SARS-CoV-2-specific...
Abstract Background Low temperature leads to major crop losses every year. Although several studies have been conducted focusing on diversity of cold tolerance level in multiple phenotypically divergent Arabidopsis thaliana (A. thaliana) ecotypes, genome-scale molecular understanding is still lacking. Results In this study, we report transcript response 10 A. ecotypes originating from different geographical locations non-freezing stress (10°C). To analyze the transcriptional diversity,...
During mammalian embryogenesis, changes in morphology and gene expression are concurrent with epigenomic reprogramming. Using human embryonic stem cells representing the preimplantation blastocyst (naive) postimplantation epiblast (primed), our data 2iL/I/F naive demonstrate that a substantial portion of known enhancers premarked by H3K4me1, providing an enhanced open chromatin state pluripotency. The enhancer repertoire occupies 9% genome, three times primed cells, can exist broad domains...
Oocyte maturation is a coordinated process that tightly linked to reproductive potential. A better understanding of gene regulation during human oocyte will not only answer an important question in biology, but also facilitate the development vitro technology as fertility treatment. We generated single-cell transcriptome and used our previously published methylome data from oocytes at different stages investigate how genes are regulated maturation, focusing on potential regulatory role...
In the scenario of global warming and climate change, heat stress is a serious threat to crop production worldwide. Being sessile, plants cannot escape from heat. Plants have developed various adaptive mechanisms survive stress. Several studies focused on diversity tolerance levels in divergent Arabidopsis thaliana (A. thaliana) ecotypes, but comprehensive genome scale understanding response still lacking. Here we report transcript responses 10 A. ecotypes (Col, Ler, C24, Cvi, Kas1, An1,...
The post-acute sequelae of SARS-CoV-2 (PASC), also known as long COVID, remain a significant health issue that is incompletely understood. Predicting which acutely infected individuals will go on to develop COVID challenging due the lack established biomarkers, clear disease mechanisms, or well-defined sub-phenotypes. Machine learning (ML) models offer potential address this by leveraging clinical data enhance diagnostic precision. We utilized data, including antibody titers and viral load...
Following SARS-CoV-2 infection, ∼10-35% of COVID-19 patients experience long COVID (LC), in which often debilitating symptoms persist for at least three months. Elucidating the biologic underpinnings LC could identify therapeutic opportunities. We utilized machine learning methods on analytes and patient reported outcome surveys provided over 12 months after hospital discharge from >500 hospitalized IMPACC cohort to a multi-omics "recovery factor". participants who experienced had lower...
Human bone marrow stromal cells, or mesenchymal stem cells (BM-MSCs), need expansion prior to use as cell-based therapies in immunological and tissue repair applications. Aging of BM-MSCs induce epigenetic changes that can impact therapeutic outcomes. By applying sequencing-based methods, we reveal the breadth DNA methylation dynamics associated with aging is greater than previously reported. Methylation are enriched at known distal transcription factor binding sites such enhancer elements,...
The inner ear is a complex structure responsible for hearing and balance, organ pathology associated with deafness balance disorders. To evaluate the role of epigenomic dynamics, we performed whole genome bisulfite sequencing at key time points during development maturation mouse sensory epithelium (SE). Our single-nucleotide resolution maps revealed variations in both general characteristics dynamics DNA methylation over time. This allowed us to predict location non-coding regulatory...
Noncoding variants are critical to our understanding of the genetic basis diseases and disorders such as rheumatoid arthritis (RA). While genome-wide association studies have identified regions genome associated with disease, functional still lagging that can identify potentially causative variants. In order functionally fine-map RA-associated variants, we at enhancers marked in primary activated T helper cells conducted massively parallel reporter assay these cells. We found combinations...
ABSTRACT Background Predicting mortality risk in patients with COVID-19 remains challenging, and accurate prognostic assays represent a persistent unmet clinical need. We aimed to identify validate parsimonious transcriptomic signatures that accurately predict fatal outcomes within 48 hours of hospitalization. Methods studied 894 hospitalized for across 20 US hospitals enrolled the prospective Immunophenotyping Assessment Cohort (IMPACC) peripheral blood mononuclear cells (PBMC) nasal swabs...