Author

M. T. Caserta

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

A. R. Falsey· 3 shared D. J. Topham· 3 shared J. Holden-Wiltse· 3 shared A. Corbett· 2 shared A. Grier· 2 shared A. L. Gill· 2 shared E. E. Walsh· 2 shared H. A. Kessler· 2 shared

Activity by Year

2020-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersImmunology

A. R. Falsey

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Temporal Dysbiosis of Infant Nasal Microbiota Relative to Respiratory Syncytial Virus Infection

A. Grier, A. L. Gill, H. A. Kessler, A. Corbett, S. Bandyopadhyay, J. Java, J. Holden-Wiltse, A. R. Falsey, D. J. Topham, T. J. Mariani, M. T. Caserta, E. E. Walsh, S. R. Gill

This study examines the temporal changes in infant nasal microbiota relative to RSV infection and identifies taxa associated with infection and disease severity.

The Journal of Infectious Diseases · Sep 14, 2020Peer-reviewedMicrobiology

Aberrant newborn T cell and microbiota developmental trajectories predict respiratory compromise during infancy

A. Grier, N. Laniewski, A. L. Gill, H. A. Kessler, H. Huyck, J. Holden-Wiltse, S. Bandyopadhyay, J. Carnahan, A. M. Dylag, D. J. Topham, A. R. Falsey, M. T. Caserta, G. S. Pryhuber, S. R. Gill, A. McDavid, K. M. Scheible

The paper identifies that prenatal antibiotics or infection disrupt T cell and microbiota development, increasing respiratory morbidity risk in infants.

bioRxiv · Jun 16, 2020 · PreprintImmunology

Airway Gene-Expression Classifiers for Respiratory Syncytial Virus (RSV) Disease Severity in Infants

L. Wang, C.-Y. Chu, M. N. McCall, C. Slaunwhite, J. Holden-Wiltse, A. Corbett, A. R. Falsey, D. J. Topham, M. T. Caserta, T. J. Mariani, E. E. Walsh, X. Qiu

The paper develops gene expression classifiers from nasal brush samples to predict RSV disease severity in infants, finding strong correlations with clinical scores.

bioRxiv · May 9, 2020Immunology