Author

N. Bose

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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Cell Biology· 2 Microbiology· 2 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 3 Approach:deep learning· 2 Approach:experimental assay· 2 Assay:metagenomics· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Organism:Drosophila· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

M. Stoller· 2 shared P. Kapahi· 2 shared S. D. Moore· 2 shared a. Duren-Lubancki· 1 shared A. Kahn· 1 shared A. Sharma· 1 shared B. Migliori· 1 shared B. Schilling· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersCell Biology

M. Stoller

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

A Highly-Efficient, Scalable Pipeline for Fixed Feature Extraction from Large-Scale High-Content Imaging Screens

G. Comolet, N. Bose, J. M. Winchell, a. Duren-Lubancki, T. Rusielewicz, g. Horn, j. Goldberg, D. Paull, B. Migliori

ScaleFExSM is a scalable pipeline for extracting interpretable features from high-content imaging data, improving drug response analysis and disease profiling.

bioRxiv · Jul 6, 2023Cell Biology

Reduced ribosome activity influences the non-uniform evolution of 16S rRNA hypervariable regions

S. D. Moore, N. Bose

The paper shows that SNPs in 16S rRNA hypervariable regions affect ribosome function and argues against equal weighting of residues in taxonomic classifications.

bioRxiv · Sep 23, 2022 · PreprintMicrobiology

Microbial communities in retail draft beers and the biofilms they produce

N. Bose, D. P. Auvil, E. L. Moore, S. D. Moore

This study identifies microbial contaminants in retail draft beers and evaluates their biofilm-forming capabilities, highlighting the need for improved cleaning protocols.

bioRxiv · Aug 18, 2021Microbiology

Comprehensive Proteomic Quantification of Bladder Stone Progression in a Cystinuric Mouse Model Using Data-Independent Acquisitions

J. Rose, N. Basisty, T. Zee, C. Wehrfritz, N. Bose, P.-Y. Desprez, P. Kapahi, M. Stoller, B. Schilling

This study uses proteomic analysis in a cystinuria mouse model to identify proteomic changes during bladder stone progression, highlighting key pathways involved in stone growth and recurrence.

bioRxiv · Apr 6, 2021 · PreprintCell Biology

A conserved role of the insulin-like signaling pathway in uric acid pathologies revealed in Drosophila melanogaster

S. Lang, N. Bose, K. Wilson, D. Brackman, T. Hilsabeck, M. Watson, J. Beck, A. Sharma, L. Chen, D. Killilea, S. Ho, A. Kahn, K. Giacomini, M. Stoller, T. Chi, P. Kapahi

This study shows that the insulin-like signaling pathway influences uric acid metabolism in Drosophila, with conserved effects in humans, and identifies potential therapeutic targets for gout and kidney stones.

PLOS Genetics · Aug 15, 2019Peer-reviewedPathology