Author

Carlos G. Gonzalez

Stanford MedicineORCID 0000-0002-4673-4048Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Alexis LonaiD· 1 shared Christopher D. GardneriD· 1 shared David J. GonzaleziD· 1 shared Hannah Constance WastykiD· 1 shared Irina KufarevaiD· 1 shared Jessica G. H. BruystensiD· 1 shared Jian WuiD· 1 shared Jorge Silvio GutkindiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBiochemistry

Alexis LonaORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Selective knockout of PKA regulatory subunits reveal opposite catalytic and metabolic consequences with implications for Alzheimer's disease

Leigh-Ana M. Rossitto, Tsan Wen Lu, Yuliang Ma, Pallavi Kaila Sharma, Valeria Burghi, Carlos G. Gonzalez, Jessica G. H. Bruystens, Svetlana Rajkumar Maurya, Jian Wu, Alexis Lona, Irina Kufareva, Jorge Silvio Gutkind, David J. Gonzalez, Xu Chen, Susan Serota Taylor

This study shows that knocking out PKA regulatory subunits RI and RII leads to distinct metabolic and phosphorylation changes, with RI KO increasing Tau phosphorylation linked to Alzheimer's disease.

bioRxiv · Jun 29, 2026 · PreprintBiochemistry

High-Throughput Stool Metaproteomics: Method and Application to Human Specimens

Carlos G. Gonzalez, Hannah Constance Wastyk, Madeline A. Topf, Christopher D. Gardner, Justin Laine Sonnenburg, Joshua Eric Elias

This paper introduces a high-throughput stool proteomic pipeline, SHT-Pro, and demonstrates its application in classifying dietary interventions based on proteomic profiles with up to 89% accuracy.

mSystems · Jun 29, 2020Peer-reviewedSystems Biology