Author

K. Caviness

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 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:host-pathogen & immune response· 3 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1 Organism:virus· 1

Frequent Co-Authors

D. K. Collins-McMillen· 2 shared F. Goodrum· 2 shared S. Zeltzer· 2 shared A. C. Stanton· 1 shared B. A. Petros· 1 shared B. L. MacInnis· 1 shared B. M. Shaw· 1 shared C. A. Freije· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersMicrobiology

D. K. Collins-McMillen

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

UL135 and UL136 Epistasis Controls Reactivation of Human Cytomegalovirus

M. A. Moy, D. K. Collins-McMillen, L. Crawford, C. Parkins, S. Zeltzer, K. Caviness, P. Caposio, F. Goodrum

This study shows that stabilizing UL136p33 compensates for the loss of UL135 in HCMV reactivation from latency in hematopoietic cells.

bioRxiv · Jan 24, 2023 · PreprintMicrobiology

LXR-inducible host E3 ligase IDOL targets a human cytomegalovirus reactivation determinant

L. Mlera, D. K. Collins-McMillen, S. Zeltzer, J. Buehler, M. Moy, K. Zarrella, K. Caviness, L. Cicchini, D. J. Tafoya, F. Goodrum

This paper identifies IDOL as an E3 ligase that targets HCMV UL136p33 for degradation, linking its instability to latency establishment and reactivation.

bioRxiv · Nov 15, 2022 · PreprintMicrobiology

Integrated sample inactivation, amplification, and Cas13-based detection of SARS-CoV-2

J. Arizti-Sanz, C. A. Freije, A. C. Stanton, C. K. Boehm, B. A. Petros, S. Siddiqui, B. M. Shaw, G. Adams, T.-S. F. Kosoko-Thoroddsen, M. E. Kemball, R. Gross, L. Wronka, K. Caviness, L. E. Hensley, N. H. Bergman, , C. Myhrvold

This paper develops SHINE, a diagnostic tool for SARS-CoV-2 detection with 90% sensitivity and 100% specificity, reducing contamination risk and enabling use outside clinical settings.

bioRxiv · May 28, 2020 · PreprintBioengineering