Author

K. B. Beckman

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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Cancer Biology· 1 Microbiology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Organism:mouse· 1

Frequent Co-Authors

B. Auch· 2 shared A. C. Nelson· 1 shared A. D. Tischler· 1 shared A. Deshpande· 1 shared A. L. Sarver· 1 shared A. M. Block· 1 shared A. M. Brokaw· 1 shared A. R. Cunanan· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersCancer Biology

B. Auch

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Author profile →

3 papers

Recent·Most cited

Mycobacterium tuberculosis requires the outer membrane lipid phthiocerol dimycocerosate for starvation-induced antibiotic tolerance

A. M. Block, S. B. Namugenyi, N. P. Palani, A. M. Brokaw, L. Zhang, K. B. Beckman, A. D. Tischler

This paper identifies phthiocerol dimycocerosate (PDIM) as essential for Mycobacterium tuberculosis antibiotic tolerance under nutrient starvation, suggesting PDIM synthesis as a target to enhance antibiotic efficacy.

bioRxiv · Jul 7, 2022Microbiology

Comparative analysis of genome-wide DNA methylation identifies patterns that associate with conserved transcriptional programs in osteosarcoma

L. J. Mills, M. Scott, P. Shah, A. R. Cunanan, A. Deshpande, B. Auch, B. Curtin, K. B. Beckman, L. G. Spector, A. L. Sarver, S. Subramanian, T. Richmond, J. F. Modiano

This study identifies DNA methylation patterns in human and canine osteosarcoma samples that correlate with conserved transcriptional programs and tumor states, not cell composition.

bioRxiv · Apr 29, 2020Cancer Biology

Analytical Validation of a COVID-19 qRT-PCR Detection Assay Using a 384-well Format and Three Extraction Methods

A. C. Nelson, B. Auch, M. Schomaker, D. M. Gohl, P. Grady, D. Johnson, R. Kincaid, K. E. Karnuth, J. Daniel, J. K. Fiege, E. J. Fay, T. Bold, R. A. Langlois, K. B. Beckman, S. Yohe

This study validates a qRT-PCR assay for SARS-CoV-2 detection using a 384-well format and three extraction methods, showing robust accuracy and sensitivity with commercial reagents.

bioRxiv · Apr 2, 2020 · PreprintPathology