Author

A. B. Saltzman

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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Assay:proteomics· 3 Approach:experimental assay· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. Malovannaya· 3 shared M. J. Ellis· 3 shared B.-J. Kim· 2 shared D. Chan· 2 shared E. J. Jaehnig· 2 shared M. Anurag· 2 shared M. Rimawi· 2 shared P. Singh· 2 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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3 shared papersCancer Biology

A. Malovannaya

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Author profile →

3 papers

Recent·Most cited

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

A Network Approach to Identify Biomarkers of Differential Chemotherapy Response Using Patient-Derived Xenografts of Triple-Negative Breast Cancer

V. Petrosyan, L. E. Dobrolecki, L. Thistlethwaite, A. N. Lewis, C. Sallas, R. Rajaram, J. T. Lei, M. J. Ellis, K. Osborne, M. Rimawi, A. Pavlick, M. Shafaee, H. Dowst, A. B. Saltzman, A. Malovannaya, , M. T. Lewis

This paper identifies biomarkers of differential chemotherapy response in TNBC using a network-based approach and validates them in PDX models and clinical datasets.

bioRxiv · Aug 20, 2021 · PreprintCancer Biology

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