Author

A. Feist

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Microbiology· 6 Bioengineering· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 4 Research Focus:drug response / drug discovery· 4 Approach:experimental assay· 4 Organism:E. coli· 3 Organism:bacteria (other)· 2 Research Focus:cell type annotation· 2 Organism:human· 2 Assay:proteomics· 2

Frequent Co-Authors

R. Szubin· 5 shared S. Poudel· 4 shared V. Nizet· 4 shared A. Lamsa· 3 shared A. Rajput· 3 shared A. Vrbanac· 3 shared B. Palsson· 3 shared C. Olson· 3 shared

Activity by Year

2020-2024 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

5 shared papersMicrobiology

R. Szubin

Mutual co-authors in cluster

Author profile →

8 papers

Recent·Most cited

Discovery of functional NLRs using expression level, high-throughput transformation, and large-scale phenotyping

H. J. Brabham, I. Hernandez-Pinzon, C. Yanagihara, N. Ishikawa, T. Komori, O. N. Matny, A. Hubbard, K. Witek, A. Feist, H. Numazawa, P. Green, A. Dreiseitl, N. Takemori, T. Komari, R. P. Freedman, , M. J. Moscou

The paper identifies functional NLR resistance genes in plants by combining high expression signatures with high-throughput transformation and phenotyping, confirming new resistance genes against stem rust in wheat.

bioRxiv · Jun 25, 2024Plant Biology

Revealing Pentose Catabolism in Pseudomonas putida

M.-R. Park, R. Gauttam, B. Fong, Y. Chen, H. G. Lim, A. Feist, A. Mukhopadhyay, C. J. Petzold, B. A. Simmons, S. W. Singer

The paper identifies three Pseudomonas putida isolates with diverse pentose catabolism capabilities and characterizes their genes and pathways for xylose and arabinose oxidation.

bioRxiv · Oct 5, 2022 · PreprintMicrobiology

Data-Driven Strain Design Using Aggregated Adaptive Laboratory Evolution Mutational Data

P. V. Phaneuf, D. C. Zielinski, J. T. Yurkovich, J. Johnsen, R. Szubin, L. Yang, S. H. Kim, S. Schulz, M. Wu, C. Dalldorf, E. Ozdemir, B. O. Palsson, A. Feist

This paper presents a data-driven workflow to design microbial strains using aggregated ALE mutational data, revealing gene-centric mutations that significantly alter cellular states.

bioRxiv · Jul 19, 2021Bioengineering

Selection for cell yield does not reduce overflow metabolism in E. coli

I. Rabbers, W. Gottstein, A. Feist, B. Teusink, F. Bruggeman, H. Bachmann

This study shows that evolving E. coli without nutrient competition does not reduce overflow metabolism, as cell yield increases through reduced cell size rather than changes in metabolic strategy.

bioRxiv · May 24, 2021Microbiology

Characterizing the response of Acinetobacter baumannii ATCC 17978 to azithromycin in multiple in vitro growth conditions

N. A. Dillon, Y. Seif, H. Tsunemoto, S. Poudel, M. Meehan, R. Szubin, C. Olson, A. Rajput, G. Alarcon, A. Lamsa, A. Vrbanac, J. Sugie, S. Dahesh, J. Monk, P. Dorrestein, , V. Nizet

This study examines how MDR A. baumannii responds to azithromycin in different growth conditions using multiple analytical techniques.

bioRxiv · May 19, 2020 · PreprintMicrobiology

Identifying the effect of vancomycin on HA-MRSA strains using bacteriological and physiological media

A. Rajput, S. Poudel, H. Tsunemoto, M. Meehan, R. Szubin, C. Olson, Y. Seif, A. Lamsa, N. Dillon, A. Vrbanac, J. Sugie, S. Dahesh, J. Monk, P. Dorrestein, J. Pogliano, , B. O. Palsson

The paper examines vancomycin's effect on HA-MRSA USA100 strains using bacteriological and physiological media through growth curves, RNA sequencing, and exo-metabolomics.

bioRxiv · May 6, 2020 · PreprintMicrobiology

Decomposition of transcriptional responses provides insights into differential antibiotic susceptibility

A. V. Sastry, N. Dillon, S. Poudel, Y. Hefner, S. Xu, R. Szubin, A. Feist, V. Nizet, B. Palsson

The paper investigates how media composition affects antibiotic susceptibility in E. coli using transcriptomics and machine learning, identifying key regulators and shifts in respiration and iron availability.

bioRxiv · May 4, 2020 · PreprintMicrobiology

Profiling the effect of nafcillin on HA-MRSA D592 using bacteriological and physiological media

Y. Seif, S. Poudel, H. Tsunemoto, R. Szubin, M. J. Meehan, C. Olson, A. Rajput, G. Alarcon, A. Lamsa, N. Dillon, A. Vrbanac, J. Sugie, S. Daesh, J. Monk, P. Dorrestein, , V. Nizet

This study investigates how nafcillin affects HA-MRSA D592 in different media types, revealing media-dependent antibiotic activity through multi-dimensional analysis.

bioRxiv · Apr 30, 2020 · PreprintMicrobiology