Author

S. J. Parker

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

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:experimental assay· 3 Assay:proteomics· 3 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:metabolism & bioenergetics· 1 Assay:metabolomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Haghani· 2 shared A. Hutton· 2 shared J. G. Meyer· 2 shared M. Mastali· 2 shared S. Kreimer· 2 shared Y. Song· 2 shared A. Binek· 1 shared A. Momenzadeh· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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2 shared papersBiochemistry

A. Haghani

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Author profile →

3 papers

Recent·Most cited

Complete Workflow for High Throughput Human Single Skeletal Muscle Fiber Proteomics

A. Momenzadeh, Y. Jiang, S. Kreimer, L. E. Teigen, C. S. Zepeda, A. Haghani, M. Mastali, Y. Song, A. Hutton, S. J. Parker, J. E. Van Eyk, C. W. Sundberg, J. G. Meyer

This paper introduces a high-throughput single skeletal muscle fiber proteomics method, achieving faster analysis with sufficient proteome depth compared to existing methods.

bioRxiv · Feb 23, 2023Biochemistry

High Throughput Single Cell Proteomic Analysis of Organ Derived Heterogeneous Cell Populations by Nanoflow Dual Trap Single Column Liquid Chromatography

S. Kreimer, A. Binek, B. Chazarin, J. H. Cho, A. Haghani, A. Hutton, E. Marban, M. Mastali, J. G. Meyer, T. Mesquita, Y. Song, J. Van Eyk, S. J. Parker

The paper presents a high-throughput proteomic method for analyzing single-cell heterogeneity in organ-derived cell populations using nanoDTSC.

bioRxiv · Jan 6, 2023Biochemistry

Multi-omic profiling of tyrosine kinase inhibitor-resistant K562 cells suggests metabolic reprogramming to promote cell survival

B. M. Noel, S. B. Ouellette, L. Marholz, D. M. Dickey, C. Navis, T.-Y. Yang, V. Nguyen, S. J. Parker, D. A. Bernlohr, Z. Sachs, L. L. Parker

This study identifies metabolic reprogramming and novel markers in TKI-resistant CML cells through multi-omic profiling.

bioRxiv · Jan 16, 2019 · PreprintCancer Biology