Author

E. Baker

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 Cancer Biology· 1 Cell Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Assay:metabolomics· 2 Organism:bacteria (other)· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. Balasubramanian· 1 shared A. Farbos· 1 shared A. Jeffries· 1 shared A. Omilian· 1 shared A. Rao· 1 shared A. Sreekumar· 1 shared B. Schilling· 1 shared C. A. Watson· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperCancer Biology

A. Balasubramanian

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Exosomes Released from Senescent Cells and Circulatory Exosomes Isolated from Human Plasma Reveal Aging-associated Proteomic and Lipid Signatures

S. K. Patel, J. Bons, J. P. Rose, J. R. Chappel, R. L. Beres, M. Watson, C. Webster, J. B. Burton, R. Bruderer, P. Y. Desprez, L. Reiter, J. Campisi, E. Baker, B. Schilling

This study identifies aging-associated proteomic and lipid signatures in exosomes from senescent cells and human plasma, revealing shared biomarkers and pathways linked to senescence and tissue damage.

bioRxiv · Jun 22, 2024Cell Biology

Integrative spatial omics reveals distinct tumor-promoting multicellular niches and immunosuppressive mechanisms in Black American and White American patients with TNBC

Q. Zhu, A. Balasubramanian, J. R. Asirvatham, M. Chatterjee, D. W. B. Piyarathna, J. Kaur, N. Mohamed, L. Wu, S. Wang, N. Pourfarrokh, P. D. Binsol, M. Bhargava, U. Rasaily, Y. Xu, J. Zheng, , A. Sreekumar

This study uses spatial omics to identify distinct tumor microenvironment profiles in Black and White American TNBC patients, linking them to different immunosuppressive mechanisms and clinical outcomes.

bioRxiv · Mar 17, 2024Cancer Biology

Phage-induced efflux down-regulation boosts antibiotic efficacy

S. Kraus, U. Lapinska, K. Chawla, E. Baker, E. Attrill, P. ONeill, A. Farbos, A. Jeffries, E. Galyov, S. Korbsrisate, K. Barnes, S. Harding, K. Tsaneva-Atanasova, M. Blaskovich, S. Pagliara

This study shows that phage presence reduces antibiotic efflux in bacteria, enhancing antibiotic efficacy and enabling lower concentrations for treatment.

bioRxiv · Sep 21, 2023Microbiology

CCS Predictor 2.0: An Open-Source Jupyter Notebook Tool for Filtering Out False Positives in Metabolomics

M. A. Rainey, C. A. Watson, C. K. Asef, M. R. Foster, E. Baker, F. M. Fernandez

CCSP 2.0 predicts collision cross section values for metabolites using machine learning, improving accuracy and alignment with FAIR data principles.

bioRxiv · Aug 9, 2022Biochemistry

Uncovering Xenobiotics in the Dark Metabolome using Ion Mobility Spectrometry, Mass Defect Analysis and Machine Learning

M. Foster, M. Rainey, C. Watson, J. N. Dodds, F. Fernandez, E. Baker

The paper develops a workflow combining ion mobility spectrometry, mass defect analysis, and machine learning to identify xenobiotics in metabolomic data, successfully annotating PFAS in human serum.

bioRxiv · Nov 21, 2021 · PreprintBiochemistry