Andrew McDavid

ORCID: 0000-0002-6581-1213
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About
Contact & Profiles
Research Areas
  • Single-cell and spatial transcriptomics
  • Genetic Associations and Epidemiology
  • Alzheimer's disease research and treatments
  • Bioinformatics and Genomic Networks
  • T-cell and B-cell Immunology
  • Gene expression and cancer classification
  • Neonatal Respiratory Health Research
  • Pediatric health and respiratory diseases
  • Immune Cell Function and Interaction
  • Gene Regulatory Network Analysis
  • Systemic Lupus Erythematosus Research
  • Congenital Diaphragmatic Hernia Studies
  • Infant Health and Development
  • Immune cells in cancer
  • Gut microbiota and health
  • Child and Adolescent Health
  • Genomic variations and chromosomal abnormalities
  • Cancer Genomics and Diagnostics
  • Cell Image Analysis Techniques
  • RNA modifications and cancer
  • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
  • Molecular Biology Techniques and Applications
  • CAR-T cell therapy research
  • Epigenetics and DNA Methylation
  • Bone and Joint Diseases

University of Rochester
2018-2025

University of Rochester Medical Center
2018-2024

Fred Hutch Cancer Center
2012-2023

Museum of Heilongjiang Province
2021

University of Washington
2012-2019

University of Copenhagen
2019

Health and Human Development (2HD) Research Network
2019

RELX Group (United States)
2019

USF Health Byrd Alzheimer's Institute
2019

University of South Florida
2019

Single-cell transcriptomics reveals gene expression heterogeneity but suffers from stochastic dropout and characteristic bimodal distributions in which is either strongly non-zero or non-detectable. We propose a two-part, generalized linear model for such data that parameterizes both of these features. argue the cellular detection rate, fraction genes expressed cell, should be adjusted as source nuisance variation. Our provides set enrichment analysis tailored to single-cell data. It...

10.1186/s13059-015-0844-5 article EN cc-by Genome biology 2015-12-01

Abstract Motivation: Cell populations are never truly homogeneous; individual cells exist in biochemical states that define functional differences between them. New technology based on microfluidic arrays combined with multiplexed quantitative polymerase chain reactions now enables high-throughput single-cell gene expression measurement, allowing assessment of cellular heterogeneity. However, few analytic tools have been developed specifically for the statistical and analytical challenges...

10.1093/bioinformatics/bts714 article EN cc-by Bioinformatics 2012-12-24

Genome-wide association studies (GWAS) are being conducted at an unprecedented rate in population-based cohorts and have increased our understanding of the pathophysiology complex disease. Regardless context, practical utility this information will ultimately depend upon quality original data. Quality control (QC) procedures for GWAS computationally intensive, operationally challenging, constantly evolving. Here we enumerate some challenges QC data describe approaches that electronic MEdical...

10.1002/0471142905.hg0119s68 article EN Current Protocols in Human Genetics 2011-01-01

T cell-derived pro-inflammatory cytokines are a major driver of rheumatoid arthritis (RA) pathogenesis. Although these have traditionally been attributed to CD4 cells, we found that CD8 cells notably abundant in synovium and make more interferon (IFN)-γ nearly as much tumor necrosis factor (TNF) their cell counterparts. Furthermore, using unbiased high-dimensional single-cell RNA-seq flow cytometric data, the vast majority synovial tissue fluid belong an effector population characterized by...

10.1126/scitranslmed.abo0686 article EN Science Translational Medicine 2022-06-15

10.1038/s41588-024-01682-1 article EN Nature Genetics 2024-04-01
Carlos A. Donado Erin Theisen Fan Zhang Aparna Nathan Madison L. Fairfield and 88 more Karishma Vijay Rupani Dominique Jones Kellsey Johannes Jennifer S. Albrecht Jennifer H. Anolik William Apruzzese Jennifer L. Barnas Joan M. Bathon Ami Ben‐Artzi Brendan F. Boyce David L. Boyle S. Louis Bridges Vivian P. Bykerk Debbie Campbell Arnold Ceponis Adam Chicoine Michelle Curtis Kevin D. Deane Edward F. DiCarlo Laura T. Donlin Patrick Dunn Andrew Filer Hayley L. Carr Gary S. Firestein Lindsy Forbess Laura Geraldino‐Pardilla Susan M. Goodman Ellen M. Gravallese Deepak A. Rao Peter K. Gregersen Joel M. Guthridge María Gutiérrez‐Arcelus V. Michael Holers Diane Horowitz Laura B. Hughes Lionel B. Ivashkiv Kazuyoshi Ishigaki Judith A. James Joyce B. Kang Gregory Keras Amit Lakhanpal James A. Lederer Myles Lewis Yuhong Li Katherine P. Liao Arthur M. Mandelin Ian Mantel Kathryne E. Marks Mark Maybury Andrew McDavid Mandy J. McGeachy Joseph Mears Nida Meednu Nghia Millard Larry W. Moreland Saba Nayar Alessandra Nerviani Dana E. Orange Harris Perlman Costantino Pitzalis Javier Rangel‐Moreno Karim Raza Yakir Reshef Christopher T. Ritchlin Felice Rivellese William H. Robinson Laurie Rumker Ilfita Sahbudin Saori Sakaue Jennifer Seifert Dagmar Scheel‐Toellner Anvita Singaraju Kamil Slowikowski Melanie H. Smith Darren Tabechian Paul J. Utz Kathryn Weinand Dana Weisenfeld Michael H. Weisman Qian Xiao Zhu Zhu Zhihan J. Li Andrew Cordle Aaron Wyse Soumya Raychaudhuri Daniel F. Dwyer A. Helena Jonsson Michael B. Brenner

10.1038/s41586-025-08713-9 article EN Nature 2025-02-06

Conventional memory CD8+ T cells and mucosal-associated invariant (MAIT cells) are found in blood, liver, mucosal tissues have similar effector potential following activation, specifically expression of IFN-γ granzyme B. To better understand each subset's unique contributions to immunity pathology, we interrogated inflammation- TCR-driven activation requirements using human MAIT isolated from blood tissue biopsies ex vivo functional assays single cell gene experiments. We that had a robust B...

10.1172/jci.insight.86292 article EN JCI Insight 2016-06-01

The bone marrow microenvironment contributes to the regulation of hematopoietic stem cell (HSC) function, though its role in age-associated lineage skewing is poorly understood. Here we show that dysfunction aged macrophages (Mφs) directs HSC platelet bias. Mφs from mice and humans exhibited an activated phenotype, with increased expression inflammatory signals. Aged also displayed decreased phagocytic function. Senescent neutrophils, typically cleared by Mφs, were markedly mice, consistent...

10.1172/jci.insight.124213 article EN JCI Insight 2019-04-22

Postnatal development of early life microbiota influences immunity, metabolism, neurodevelopment, and infant health. Microbiome occurs at multiple body sites, with distinct community compositions functions. Associations between sites represent an unexplored influence on the microbiome. Here, we examined co-occurrence patterns gut respiratory in pre- full-term infants over first year life, a period critical to neonatal development. Gut collected as longitudinal rectal, throat, nasal samples...

10.1186/s40168-018-0566-5 article EN cc-by Microbiome 2018-10-26
Joyce B. Kang Amber Shen Saisriram Gurajala Aparna Nathan Laurie Rumker and 95 more Vitor R. C. Aguiar Cristian Valencia Kaitlyn A. Lagattuta Fan Zhang A. Helena Jonsson Seyhan Yazar José Alquicira-Hernández Hamed Khalili Ashwin N. Ananthakrishnan Karthik A. Jagadeesh Kushal K. Dey Jennifer S. Albrecht William Apruzzese Nirmal K. Banda Jennifer L. Barnas Joan M. Bathon Ami Ben‐Artzi Brendan F. Boyce David L. Boyle S. Louis Bridges Vivian P. Bykerk Debbie Campbell Hayley L. Carr Arnold Ceponis Adam Chicoine Andrew Cordle Michelle Curtis Kevin D. Deane Edward F. DiCarlo Patrick Dunn Andrew Filer Gary S. Firestein Lindsy Forbess Laura Geraldino‐Pardilla Susan M. Goodman Ellen M. Gravallese Peter K. Gregersen Joel M. Guthridge V. Michael Holers Diane Horowitz Laura B. Hughes Kazuyoshi Ishigaki Lionel B. Ivashkiv Judith A. James Gregory Keras Ilya Korsunsky Amit Lakhanpal James A. Lederer Myles Lewis Zhihan J. Li Yuhong Li Katherine P. Liao Arthur M. Mandelin Ian Mantel Kathryne E. Marks Mark Maybury Andrew McDavid Mandy J. McGeachy Joseph Mears Nida Meednu Nghia Millard Larry W. Moreland Saba Nayar Alessandra Nerviani Dana E. Orange Harris Perlman Costantino Pitzalis Javier Rangel‐Moreno Karim Raza Yakir Reshef Christopher T. Ritchlin Felice Rivellese William H. Robinson Ilfita Sahbudin Anvita Singaraju Jennifer Seifert Kamil Slowikowski Melanie H. Smith Darren Tabechian Dagmar Scheel‐Toellner Paul J. Utz Gerald F. Watts Kevin Wei Kathryn Weinand Dana Weisenfeld Michael H. Weisman Aaron Wyse Qian Xiao Zhu Zhu Mark J. Daly Ramnik J. Xavier Laura T. Donlin Jennifer H. Anolik Joseph E. Powell Deepak A. Rao

10.1038/s41588-023-01586-6 article EN Nature Genetics 2023-11-30

Abstract Rheumatoid arthritis (RA) is an autoimmune disease involving antigen-specific T and B cells. Here, we perform single-cell RNA repertoire sequencing on paired synovial tissue blood samples from 12 seropositive RA patients. We identify clonally expanded CD4 + cells, including CCL5+ cells peripheral helper (Tph) which show a prominent transcriptomic signature of recent activation effector function. CD8 higher oligoclonality than with the largest clones enriched in GZMK+ possibly...

10.1038/s41467-024-49186-0 article EN cc-by Nature Communications 2024-06-11

Abstract Synovial tissue inflammation is a hallmark of rheumatoid arthritis (RA). Recent work has identified prominent pathogenic cell states in inflamed RA synovial tissue, such as T peripheral helper cells; however, the epigenetic regulation these yet to be defined. Here, we examine genome-wide open chromatin at single-cell resolution 30 samples, including 12 samples with transcriptional data multimodal experiments. We identify 24 classes and predict their associated transcription factors,...

10.1038/s41467-024-48620-7 article EN cc-by Nature Communications 2024-05-31

Abstract Genome‐wide association studies (GWAS) are a useful approach in the study of genetic components complex phenotypes. Aside from large cohorts, GWAS have generally been limited to one or few diseases traits. The emergence biobanks linked electronic medical records (EMRs) allows efficient reuse data yield meaningful genotype–phenotype associations for multiple phenotypes Phase I MEdical Records and GEnomics (eMERGE‐I) Network is National Human Genome Research Institute‐supported...

10.1002/gepi.20639 article EN Genetic Epidemiology 2011-11-28

Rheumatoid arthritis (RA) is characterized by the activation of B cells that produce anti-citrullinated protein antibodies (ACPAs) and rheumatoid factors (RFs), but mechanisms which tolerance broken in these remain incompletely understood. We undertook this study to investigate whether ACPA+ RF+ break through distinct molecular mechanisms.We developed antigen-tetramers isolate performed single-cell RNA sequencing on 2,349 from 6 RA patients 1 healthy donor analyze their immunoglobulin...

10.1002/art.40578 article EN Arthritis & Rheumatology 2018-06-01

Blood and tissue are composed of many functionally distinct cell subsets. In immunological studies, these can be measured accurately only using single-cell assays. The characterization small subsets is crucial to decipher system-level biological changes. For this reason, an increasing number studies rely on assays that provide measurements multiple genes proteins from bulk samples. A common problem in the analysis such data identify biomarkers (or combinations biomarkers) differentially...

10.1093/biostatistics/kxt024 article EN Biostatistics 2013-07-24

Advances in high-throughput, single cell gene expression are allowing interrogation of heterogeneity. However, there is concern that the cycle phase a might bias characterizations at single-cell level. We assess effect on cells by measuring 333 genes 930 across three phases and lines. determine each cell's non-invasively without chemical arrest use it as covariate tests differential expression. observe bi-modal expression, previously-described phenomenon, wherein otherwise abundant either...

10.1371/journal.pcbi.1003696 article EN cc-by PLoS Computational Biology 2014-07-17

The synovial lymphatic system (SLS) removes catabolic factors from the joint. Vascular endothelial growth factor C (VEGF-C) and its receptor, VEGFR-3, are crucial for lymphangiogenesis. However, their involvement in age-related osteoarthritis (OA) is unknown. This study was undertaken to determine whether SLS VEGF-C/VEGFR-3 pathway contribute development progression of OA, using a murine model naturally occurring joint disease.

10.1002/art.42441 article EN Arthritis & Rheumatology 2023-01-10

With white blood cell count emerging as an important risk factor for chronic inflammatory diseases, genetic associations of differential leukocyte types, specifically monocyte count, are providing novel candidate genes and pathways to further investigate. Circulating monocytes play a critical role in vascular diseases such the formation atherosclerotic plaque. We performed joint ancestry-stratified genome-wide association analyses identify variants associated with 11 014 subjects electronic...

10.1093/hmg/ddt010 article EN Human Molecular Genetics 2013-01-12

Summary Rheumatoid arthritis (RA) is a prototypical autoimmune disease that causes destructive tissue inflammation in joints and elsewhere. Clinical challenges RA include the empirical selection of drugs to treat patients, inadequate responders with incomplete remission, lack cure. We profiled full spectrum cells inflamed synovium from patients goal deconstructing cell states pathways characterizing pathogenic heterogeneity RA. Our multicenter consortium effort used multi-modal CITE-seq,...

10.1101/2022.02.25.481990 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2022-02-28

Ectopic lymphoid structures (ELS) can develop in rheumatoid arthritis (RA) synovial tissue, but the precise pathways of B cell activation and selection are not well understood. Here, we identify a population characterized by co-expression family orphan nuclear receptors (NR4A1-3), which is highly enriched RA tissue. A transcriptomic profile NR4A cells significantly overlaps with germinal center light zone an accrual somatic hypermutation that correlates loss naive state. co-express...

10.1016/j.celrep.2022.110766 article EN cc-by-nc-nd Cell Reports 2022-05-01
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