Author

E. Mittal

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 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:drug response / drug discovery· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Approach:comparative / phylogenetic analysis· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

A. Roth· 1 shared A. Seth· 1 shared D. Qian· 1 shared J. A. Philips· 1 shared S. Chamberlin· 1 shared S. Duncan· 1 shared S. Singamaneni· 1 shared W. Beatty· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 11 mutual co-author links

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1 shared paperMicrobiology

A. Roth

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

3D organoid modeling identified that targeting IGF1R signaling may overcome drug resistance in breast cancer

E. Mittal, D. Qian

The paper develops a 3D organoid model to identify drug combinations that overcome breast cancer resistance, finding that IGF1R inhibition enhances treatment efficacy.

bioRxiv · May 14, 2023 · PreprintCancer Biology

Single cell preparations of Mycobacterium tuberculosis damage the mycobacterial envelope and disrupt macrophage interactions

E. Mittal, A. Roth, A. Seth, S. Singamaneni, W. Beatty, J. A. Philips

This study shows that common methods to prepare Mycobacterium tuberculosis for experiments damage the bacterial envelope, alter macrophage responses, and affect bacterial survival.

eLife · Feb 28, 2023Peer-reviewedMicrobiology

Data mining and experimental approaches to identify combinations of natural herbs against bacterial infections

E. Mittal, S. Duncan, S. Chamberlin

This study tests the antibacterial efficacy of five herbs and their combinations using experimental assays and computational analysis to identify effective combinations with non-overlapping targets.

bioRxiv · Nov 29, 2022 · PreprintMicrobiology