Author

Supratim Basu

University of Arkansas SystemORCID 0000-0002-7904-3569Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Assay:proteomics· 1

Frequent Co-Authors

Alaullah SheikhiD· 1 shared Andy PereiraiD· 1 shared Bernhard B. SingeriD· 1 shared Bipul SetuiD· 1 shared Chirag GuptaiD· 1 shared Clayton D. Harro· 1 shared Debayan GanguliiD· 1 shared Firdausi QadriiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperMicrobiology

Alaullah SheikhORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Host-derived CEACAM-laden vesicles engage enterotoxigenic E. coli for elimination and toxin neutralization.

Alaullah Sheikh, Debayan Ganguli, Tim J. Vickers, Bernhard B. Singer, Jennifer D. Foulke-Abel, Marjahan Akhtar, Nazia Khatoon, Bipul Setu, Supratim Basu, Clayton D. Harro, Nicole Maier, Wandy L. Beatty, Subhra Chakraborty, Taufiqur Rahman Bhuiyan, Firdausi Qadri, , James M. Fleckenstein

The paper shows that host-derived CEACAM-laden vesicles capture ETEC and its toxins, reducing pathogen load and neutralizing toxins during infection.

Proceedings of the National Academy of Sciences · Sep 12, 2024Peer-reviewedMicrobiology

Prediction and characterization of transcription factors involved in drought stress response

Chirag Gupta, Venkategowda Ramegowda, Supratim Basu, Andy Pereira

The paper uses a network-based supervised machine learning framework to predict and rank transcription factors involved in drought tolerance in plants.

Frontiers in Genetics · Jun 24, 2021Peer-reviewedSystems Biology