Author

T. Gandhi

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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Biochemistry· 2

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Research Focus:protein folding & dynamics· 1 Organism:yeast· 1

Frequent Co-Authors

L. Reiter· 2 shared A. Hogrebe· 1 shared A. J. Lawton· 1 shared A. Martinez del Val· 1 shared C. D. Kelstrup· 1 shared D. B. Bekker-Jensen· 1 shared I. Leinert· 1 shared J. Baeza· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBiochemistry

L. Reiter

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2 papers

Recent·Most cited

Quantifying dynamic protein acetylation using quantitative stoichiometry

J. Baeza, A. J. Lawton, J. Fan, M. J. Smallegan, I. Leinert, T. Gandhi, O. M. Bernhardt, L. Reiter, J. M. Denu

The paper develops and validates a method to quantify acetylation stoichiometry, revealing dynamic changes in response to serum stimulation across cellular compartments and pathways.

bioRxiv · Feb 19, 2020Biochemistry

Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition (DIA) without the need for spectral libraries

D. B. Bekker-Jensen, O. Bernhardt, A. Hogrebe, A. Martinez del Val, L. Verbeke, T. Gandhi, C. D. Kelstrup, L. Reiter, J. V. Olsen

This paper introduces a DIA-based phosphoproteomics method that achieves high sensitivity and reproducibility without spectral libraries, demonstrating its scalability in analyzing kinase inhibitor effects on EGF signaling.

bioRxiv · Jun 3, 2019Biochemistry