Author

Judith A. Woodfolk

University of VirginiaORCID 0000-0002-8915-4334Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:human· 4 Assay:bulk RNA-seq· 3 Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Approach:machine learning (classical)· 3 Research Focus:trajectory inference· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1

Frequent Co-Authors

Lyndsey M. MuehlingiD· 3 shared Catherine A. BonhamiD· 2 shared Jeffrey M. SturekiD· 2 shared Jeffrey M. WilsoniD· 2 shared Jonathan Michael IrishiD· 2 shared Naomi BryantiD· 2 shared A PauliD· 1 shared Alexandra KadliD· 1 shared

Activity by Year

2021-2025 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersImmunology

Lyndsey M. MuehlingORCID

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4 papers

Recent·Most cited

IgA antibodies against oxidation-specific epitopes are generated by double negative B cells and are associated with impaired lung function in fibrotic interstitial lung diseases.

Eva Otoupalova, Riley T. Hannan, Pearl Raichura, Noora Batrash, Paul Dell, Mônica Josiane Rodrigues‐Jesus, Eli R. Zunder, Jeffrey M. Wilson, Judith A. Woodfolk, Justin J. Taylor, Shwu‐Fan Ma, Andrew Julio Barros, Yun Michael Shim, Imre Noth, Catherine A. Bonham, , Jeffrey M. Sturek

This study identifies elevated anti-oxidation-specific epitope (OSE) IgA antibodies in fibrotic interstitial lung diseases (fILD) and links them to impaired lung function and a specific B cell subset.

bioRxiv · Dec 2, 2025 · PreprintImmunology

Rhinovirus as a Driver of Airway T-Cell Dynamics in Children with Severe Asthma

Naomi Bryant, Lyndsey M. Muehling, Kristin Wavell, William Gerald Teague, Judith A. Woodfolk

The paper uses machine learning to analyze T-cell dynamics in children with severe asthma, identifying rhinovirus-driven changes in T-cell signatures and differentiation pathways.

JCI Insight · May 7, 2025Peer-reviewedImmunology

Distinct Type 1 Immune Networks Underlie the Severity of Restrictive Lung Disease after COVID-19

Glenda Canderan, Lyndsey M. Muehling, Alexandra Kadl, Shay Ladd, Catherine A. Bonham, Claire E. Cross, Sierra M. Lima, Xihui Yin, Jeffrey M. Sturek, Jeffrey M. Wilson, Behnam Keshavarz, Kyle B. Enfield, Chintan Ramani, Naomi Bryant, Deborah D. Murphy, , Judith A. Woodfolk

The paper identifies distinct type 1 immune networks associated with varying severities of restrictive lung disease following COVID-19.

Nature Immunology · Mar 26, 2025Peer-reviewedImmunology

Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy

Sierra M. Barone, A Paul, Lyndsey M. Muehling, Joanne A Lannigan, William W. Kwok, Ronald B. Turner, Judith A. Woodfolk, Jonathan Michael Irish

T-REX identifies rare and common immune cell changes in COVID-19, rhinovirus infection, and cancer therapy using unsupervised machine learning.

eLife · Aug 5, 2021Peer-reviewedSystems Biology