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Jay Pavelka

Showing results (1-10 of 9) with videos related to

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Expert Review of Proteomics|March 21, 2024
Proteomics applications in next generation induced pluripotent stem cell modelsVyshnavi Manda, Jay Pavelka, Edward Lau
American Journal of Physiology. Heart and Circulatory Physiology|November 5, 2025
SALVE: prediction of interorgan communication with transcriptome latent space representationJay Pavelka, Calvin K Voong, Peyton Schaal, et al.
Biorxiv : the Preprint Server for Biology|June 19, 2024
Improved determination of protein turnover rate with heavy water labeling by mass isotopomer ratio selectionJordan Currie, Dominic C M Ng, Boomathi Pandi, et al.
Journal of Proteome Research|March 18, 2025
Improved Method to Determine Protein Turnover Rates with Heavy Water Labeling by Mass Isotopomer Ratio SelectionJordan Currie, Dominic C M Ng, Boomathi Pandi, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Deuterium labeling enables proteome wide turnover kinetics analysis in cell cultureLorena Alamillo, Dominic C M Ng, Jordan Currie, et al.
Cell Reports Methods|July 11, 2025
Deuterium labeling enables proteome-wide turnover kinetics analysis in cell cultureLorena Alamillo, Dominic C M Ng, Jordan Currie, et al.
Biorxiv : the Preprint Server for Biology|January 30, 2023
Simultaneous proteome localization and turnover analysis reveals spatiotemporal features of protein homeostasis disruptionsJordan Currie, Vyshnavi Manda, Sean K Robinson, et al.
Nature Communications|March 12, 2024
Simultaneous proteome localization and turnover analysis reveals spatiotemporal features of protein homeostasis disruptionsJordan Currie, Vyshnavi Manda, Sean K Robinson, et al.
The Journal of Clinical Endocrinology and Metabolism|November 1, 2024
Human peripancreatic adipose tissue paracrine signaling impacts insulin secretion, blood flow, and gene transcriptionBryan C Bergman, Karin Zemski Berry, Amanda Garfield, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Expert Review of Proteomics|March 21, 2024
Proteomics applications in next generation induced pluripotent stem cell modelsVyshnavi Manda, Jay Pavelka, Edward Lau
American Journal of Physiology. Heart and Circulatory Physiology|November 5, 2025
SALVE: prediction of interorgan communication with transcriptome latent space representationJay Pavelka, Calvin K Voong, Peyton Schaal, et al.
Biorxiv : the Preprint Server for Biology|June 19, 2024
Improved determination of protein turnover rate with heavy water labeling by mass isotopomer ratio selectionJordan Currie, Dominic C M Ng, Boomathi Pandi, et al.
Journal of Proteome Research|March 18, 2025
Improved Method to Determine Protein Turnover Rates with Heavy Water Labeling by Mass Isotopomer Ratio SelectionJordan Currie, Dominic C M Ng, Boomathi Pandi, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Deuterium labeling enables proteome wide turnover kinetics analysis in cell cultureLorena Alamillo, Dominic C M Ng, Jordan Currie, et al.
Cell Reports Methods|July 11, 2025
Deuterium labeling enables proteome-wide turnover kinetics analysis in cell cultureLorena Alamillo, Dominic C M Ng, Jordan Currie, et al.
Biorxiv : the Preprint Server for Biology|January 30, 2023
Simultaneous proteome localization and turnover analysis reveals spatiotemporal features of protein homeostasis disruptionsJordan Currie, Vyshnavi Manda, Sean K Robinson, et al.
Nature Communications|March 12, 2024
Simultaneous proteome localization and turnover analysis reveals spatiotemporal features of protein homeostasis disruptionsJordan Currie, Vyshnavi Manda, Sean K Robinson, et al.
The Journal of Clinical Endocrinology and Metabolism|November 1, 2024
Human peripancreatic adipose tissue paracrine signaling impacts insulin secretion, blood flow, and gene transcriptionBryan C Bergman, Karin Zemski Berry, Amanda Garfield, et al.
Pageof 1