Author

R. L. Neve

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:cell type annotation· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:imaging· 1 Assay:metabolomics· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

V. V. Phelan· 2 shared B. D. Carrillo· 1 shared C.-C. Yu· 1 shared E. Giedraitis· 1 shared E. S. Boyden· 1 shared K. D. Piatkevich· 1 shared L. Gao· 1 shared M. S. Akbari· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersMicrobiology

V. V. Phelan

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Secondary metabolite profiling of Pseudomonas aeruginosa isolates reveals rare genomic traits

R. L. Neve, E. Giedraitis, M. S. Akbari, S. Cohen, V. V. Phelan

This study uses secondary metabolite profiling and whole-genome sequencing to identify rare genomic traits in Pseudomonas aeruginosa isolates that affect quorum sensing and metabolite biosynthesis.

bioRxiv · Dec 18, 2023Microbiology

Commercial porcine gastric mucin contributes to variation in production of small molecule virulence factors by Pseudomonas aeruginosa when cultured in different formulations of artificial sputum medium

R. L. Neve, B. D. Carrillo, V. V. Phelan

The paper shows that different artificial sputum media formulations affect Pseudomonas aeruginosa's production of small molecule virulence factors, and commercial porcine gastric mucin contains contaminants that influence bacterial physiology.

bioRxiv · Jan 25, 2021Microbiology

A highly homogeneous expansion microscopy polymer composed of tetrahedron-like monomers

R. Gao, C.-C. Yu, L. Gao, K. D. Piatkevich, R. L. Neve, S. Upadhyayula, E. S. Boyden

This paper introduces a new expansion microscopy polymer with a more homogeneous network structure, achieving higher resolution and reduced spatial errors in imaging.

bioRxiv · Oct 22, 2019Bioengineering