Author

E. J. Jaehnig

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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Cancer Biology· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:proteomics· 3 Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Research Focus:protein folding & dynamics· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. B. Saltzman· 2 shared A. Malovannaya· 2 shared B. Zhang· 2 shared B.-J. Kim· 2 shared D. Chan· 2 shared M. Anurag· 2 shared M. J. Ellis· 2 shared P. Singh· 2 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiochemistry

A. B. Saltzman

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3 papers

Recent·Most cited

Illuminating the Dark Cancer Phosphoproteome Through a Machine-Learned Co-Regulation Map of 26,280 Phosphosites

W. Jiang, E. J. Jaehnig, Y. Liao, T. M. Yaron-Barir, J. L. Johnson, L. C. Cantley, B. Zhang

The paper constructs a co-regulation map of phosphosites using machine learning and phosphoproteomic data, revealing kinase-substrate associations and identifying potential therapeutic targets in cancer.

bioRxiv · Mar 19, 2024 · PreprintCancer Biology

Kinase Inhibitor Pulldown Assay (KiP) for Clinical Proteomics

A. B. Saltzman, D. Chan, M. V. Holt, J. Wang, E. J. Jaehnig, M. Anurag, P. Singh, A. Malovannaya, B.-J. Kim, M. J. Ellis

The paper introduces a kinase inhibitor pulldown assay (KiP) combined with PRM for clinical proteomics, improving kinase quantification in cancer samples.

bioRxiv · Oct 13, 2022Biochemistry

Microscaled Proteogenomic Methods for Precision Oncology

S. Satpathy, E. J. Jaehnig, K. Krug, B.-J. Kim, A. B. Saltzman, D. Chan, K. R. Holloway, M. Anurag, C. Huang, P. Singh, A. Gao, N. Namai, Y. Dou, B. Wen, S. Vasaikar, , M. J. Ellis

This study develops microscaled proteogenomic methods for cancer analysis, showing treatment response and resistance mechanisms in ERBB2-positive breast cancers.

bioRxiv · Oct 9, 2019Cancer Biology