Author

S. Rivera

Primary ORCID profile (0000-0002-7615-7632 · 5 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

S. RiveraiD5 papers · Walter and Eliza Hall Institute of Medical Research

Biology Disciplines

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Biochemistry· 1 Bioengineering· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 3 Approach:experimental assay· 2 Assay:proteomics· 2 Research Focus:variant calling· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

X. Li· 2 shared A. C. Palmer· 1 shared A. Loo· 1 shared A. Q. Stiving· 1 shared A. Sahoo· 1 shared B. Rawal· 1 shared C. Bullock· 1 shared C. Kowal· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioengineering

X. Li

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Author profile →

3 papers

Recent·Most cited

diaPASEF Enables High-throughput Proteomic Analysis of Host Cell Proteins for Biopharmaceutical Process Development

T. Tsukidate, A. Q. Stiving, S. Rivera, A. Sahoo, S. Madhabushi, X. Li

The paper evaluates diaPASEF for HCP analysis in biopharmaceutical processes, showing improved quantification and throughput compared to standard methods.

bioRxiv · Feb 21, 2024Bioengineering

Improvements on Sample Preparation and Peptide Separation for Reduced Peptide Mapping Based Multi-Attribute Method analysis of Therapeutic Monoclonal Antibodies Using Lys-C Digestion

X. Li, B. Rawal, S. Rivera, S. Letarte, D. Richardson

This paper improves sample preparation and peptide separation for reduced peptide mapping-based MAM analysis of therapeutic monoclonal antibodies using Lys-C digestion, enhancing PQA monitoring for hydrophilic peptides.

bioRxiv · Feb 28, 2022 · PreprintBiochemistry

Biomarker-guided treatment strategies for ovarian cancer identified from a heterogeneous panel of patient-derived tumor xenografts

A. C. Palmer, D. Plana, H. Gao, J. M. Korn, G. Yang, J. Green, X. Zhang, R. Velazquez, M. E. McLaughlin, D. A. Ruddy, C. Kowal, J. Goldovitz, C. Bullock, S. Rivera, D. Rakiec, , J. A. Williams

This study identifies biomarker-guided treatment strategies for ovarian cancer using patient-derived tumor xenografts, finding that nearly 90% of PDXs responded to at least one targeted therapy.

bioRxiv · Jan 8, 2020Cancer Biology