Author

C. J. Fields

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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Microbiology· 2 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

C. B. Brooke· 2 shared G. Rendon· 2 shared A. Pekosz· 1 shared B. E. Martin· 1 shared C. H. Luo· 1 shared D. D. McManus· 1 shared F. Alnaji· 1 shared F. G. Alnaji· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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2 shared papersMicrobiology

C. B. Brooke

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Author profile →

3 papers

Recent·Most cited

MicroRNAs and PFAS: A Pilot Study in Blood Collected from Firefighters

X. Zhang, M. Sands, M. La Frano, M. Spinella, F. Masoud, C. J. Fields, Z. Madak-Erdogan, T. Jensen, J. Irudayaraj

This study examines PFAS exposure in firefighters through miRNA sequencing of plasma exosomes and compares results to general population data, finding no significant overall PFAS difference but miRNA expression heterogeneity.

bioRxiv · Apr 5, 2024 · PreprintPharmacology & Toxicology

Within-host evolutionary dynamics and tissue compartmentalization during acute SARS-CoV-2 infection

M. Farjo, K. Koelle, M. A. Martin, L. L. Gibson, K. K. Walden, G. Rendon, C. J. Fields, F. Alnaji, N. Gallagher, C. H. Luo, H. H. Mostafa, Y. C. Manabe, A. Pekosz, R. L. Smith, D. D. McManus, C. B. Brooke

This study uses daily saliva and nasal samples to track SARS-CoV-2 genetic variants in infected individuals, revealing stochastic evolution, mutational hotspots, and compartmentalization between sample sites.

bioRxiv · Jun 21, 2022Microbiology

Illumina-based sequencing framework for accurate detection and mapping of influenza virus defective interfering particle-associated RNAs

F. G. Alnaji, J. R. Holmes, G. Rendon, J. C. Vera, C. J. Fields, B. E. Martin, C. B. Brooke

The paper develops an Illumina-based sequencing framework and pipeline to accurately detect and map influenza virus DIP-associated RNAs, demonstrating its reliability through simulated and experimental data.

bioRxiv · Oct 11, 2018 · PreprintMicrobiology