Author

Matthew C. Wolfgang

University of North Carolina at Chapel HillORCID 0000-0003-4534-6470Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Abigail N. Leistra· 1 shared Afshin BeheshtiiD· 1 shared Alberto PaccanaroiD· 1 shared Alexandra J. Lukasiewicz· 1 shared Aliza Yousey· 1 shared Amanda Saravia-ButleriD· 1 shared Andrea N Pearson· 1 shared Anthony D. HarrisiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

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1 shared paperBioinformatics

Abigail N. Leistra

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

MicrobiologymBioPeer-reviewedMay 15, 2025

Flagellar motility and the mucus environment influence aggregation mediated antibiotic tolerance of Pseudomonas aeruginosa in chronic lung infection

Matthew G. Higgs, Matthew A. Greenwald, Cristian Roca…·Matthew C. Wolfgang

This study shows that loss of flagellar motility in Pseudomonas aeruginosa increases aggregation and antibiotic tolerance in the mucus environment of chronic lung infections.

9 citations

bacteria (other)experimental assay

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BioinformaticsbioRxivPreprintAug 1, 2024

Thermodynamic modeling of Csr/Rsm- RNA interactions capture novel, direct binding interactions across the Pseudomonas aeruginosa transcriptome

Alexandra J. Lukasiewicz, Abigail N. Leistra, Lily Hoefner…·Lydia M. Contreras

This study uses thermodynamic modeling to predict RsmA-mRNA binding interactions in Pseudomonas aeruginosa, identifying 1043 interactions including 457 novel targets, validated through experimental assays.

DOI 10.1101/2024.08.01.606018

bacteria (other)statistical model

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Systems BiologybioRxivPreprintApr 23, 2021

The Great Deceiver: miR-2392's Hidden Role in Driving SARS-CoV-2 Infection

Jackie McDonald, Francisco J. Enguita, Deanne M. Taylor…·Afshin Beheshti

The paper identifies miR-2392 as a miRNA involved in SARS-CoV-2 infection, showing its role in inflammation, glycolysis, and hypoxia, and develops a miRNA-based therapeutic targeting it.

7 citations

humanmouse

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