Back to results

Massachusetts Institute of Technology

Profiling Host Respiratory Responses to SARS-CoV-2 Infection

Abstract

dc:description.abstract

Single-cell genomics have revolutionized the granularity with which we can dissect cellular phenotypes in both health and disease. Global atlases of homeostatic tissues have revealed rare cell populations critical to organ function and provide comprehensive genomic reference maps for the scientific community, and profiling of non-homeostatic tissues—across oncology, inflammation, autoimmunity, infectious disease and beyond—have revealed insights into the drivers of disease pathogenesis and potential avenues for prophylactic or therapeutic intervention. Over the past three years, we have studied SARS-CoV-2 infection through the lens of single-cell genomics, querying pre-existing single-cell datasets, developing in vitro models of disease, validating animal models of infection, and profiling human samples with our clinical collaborators, all the while adding to the vast trove of COVID-19 knowledge generated amidst a global pandemic. In the early days of the pandemic, we identify putative targets of SARS-CoV-2 infection in human and non-human primate tissues and discover that the SARS-CoV-2 entry receptor ACE2/Ace2 is an interferon-stimulated gene in human but not murine nasal epithelia. We then profile nasopharyngeal swabs taken from individuals upon hospital admission, stratifying epithelial responses to infection based on ensuing peak disease severity. We identify a muted anti-viral response to infection within the nasal epithelia as a correlate of severe but not mild or moderate disease progression. Finally, we turn to non-human models of SARS-CoV-2 infection to profile the lower respiratory response to viral perturbation across multiple acute time points, pinpointing cellular populations and attributes that are associated with enhanced protection in the lower respiratory tract. Together, our work highlights the use of single-cell genomics in uncovering tissue-based host-pathogen interactions and provides a framework for rapidly and systematically assessing the immune response to emerging pathogenic threats.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Harvard-MIT Program in Health Sciences and Technology
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Miao, Vincent N.
Advisor dc:contributor.advisor
  • Shalek, Alex K.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/152793
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/152793

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Miao, Vincent N.. Profiling Host Respiratory Responses to SARS-CoV-2 Infection. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/152793