Author

S. H. Gillespie

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· 4

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 3 Research Focus:drug response / drug discovery· 2 Assay:bulk RNA-seq· 1 Assay:clinical cohort / trial· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

B. Mtafya· 2 shared W. Sabiiti· 2 shared A. M. Karcher· 1 shared a. Mdolo· 1 shared A. Rachow· 1 shared B. J. Parcell· 1 shared C. Khosa· 1 shared D. Evangelopoulos· 1 shared

Activity by Year

2016-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersMicrobiology

B. Mtafya

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Author profile →

4 papers

Recent·Most cited

Emergence of optrA-mediated linezolid resistance in multiple lineages and plasmids of Enterococcus faecalis revealed by long read sequencing

M. P. McHugh, B. J. Parcell, K. A. Pettigrew, G. Toner, E. Khatamzas, A. M. Karcher, J. Walker, R. Weir, D. Meunier, K. L. Hopkins, N. Woodford, K. E. Templeton, S. H. Gillespie, M. T. Holden

This study identifies multiple optrA-mediated linezolid resistance variants in Enterococcus faecalis using long-read sequencing, showing genetic diversity and plasmid variability.

Microbiology · Feb 16, 2022Peer-reviewedMicrobiology

Deploying a novel tuberculosis molecular bacterial load assay to assess the elimination rate of Mycobacterium tuberculosis in patients with multidrug-resistant tuberculosis in Tanzania

P. M. Mbelele, E. A. Mpolya, E. Sauli, B. Mtafya, N. E. Ntinginya, K. K. Addo, K. Kreppel, S. Mfinanga, P. P. J. Phillips, S. H. Gillespie, S. K. Heysell, W. Sabiiti, S. Mpagama

This paper evaluates Mtb elimination rates using TB-MBLA in patients with RR/MDR-TB, showing significant variation in elimination rates across different treatment regimens.

bioRxiv · Sep 2, 2020 · PreprintMicrobiology

Improving diagnosis and monitoring of treatment response in pulmonary tuberculosis using the molecular bacterial load assay (MBLA)

W. Sabiiti, K. Azam, D. Kuchaka, B. Mtafya, R. E. Bowness, K. Oravcova, E. Farmer, I. Honeyborne, D. Evangelopoulos, T. D. McHugh, H. Xiao, C. Khosa, A. Rachow, N. Heinrich, E. Kampira, , S. H. Gillespie

This study evaluates the Molecular Bacterial Load assay (MBLA) for diagnosing and monitoring tuberculosis treatment response, finding it provides reliable, contamination-resistant results faster than traditional methods.

bioRxiv · Feb 28, 2019 · PreprintMicrobiology

Modelling the effects of bacterial cell state and spatial location on tuberculosis treatment: Insights from a hybrid multiscale cellular automaton model

R. Bowness, M. A. J. Chaplain, G. G. Powathill, S. H. Gillespie

This paper develops a hybrid multiscale model to study how bacterial cell state and spatial location affect tuberculosis treatment outcomes.

bioRxiv · Aug 17, 2016Microbiology