Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Medicine and Health Sciences
Proteomic Characterization Of Human Multipotent Stromal Cells Secreted Proteins With Therapeutic Potential For Β-Cell Regeneration, Miljan Kuljanin
Proteomic Characterization Of Human Multipotent Stromal Cells Secreted Proteins With Therapeutic Potential For Β-Cell Regeneration, Miljan Kuljanin
Electronic Thesis and Dissertation Repository
Novel strategies to stimulate the expansion of β-cell mass in situ are warranted for diabetes therapy. Cell-replacement therapies for the treatment of diabetes have become a focal point in recent years. Endogenous regeneration of β-cell mass has been demonstrated using human multipotent stromal cells (hMSC). However, the secretory factors responsible for initiating endogenous regeneration remain unknown. Successful large-scale proteomic applications to address these questions have been limited in part by difficulties in correctly selecting the appropriate methodologies. Thus, the goal of this thesis was a combination of assessing different proteomic workflows to facilitate investigation into hMSC biology, applying these methods …
Genome-Scale Precision Proteomics Identifies Cancer Signaling Networks And Therapeutic Vulnerabilities, Hong Wang
Theses and Dissertations (ETD)
Mass spectrometry (MS) based-proteomics technology has been emerging as an indispensable tool for biomedical research. But the highly diverse physical and chemical properties of the protein building blocks and the dramatic human proteome complexity largely limited proteomic profiling depth. Moreover, there was a lack of high-throughput quantitative strategies that were both precise and parallel to in-depth proteomic techniques. To solve these grand challenges, a high resolution liquid chromatography (LC) system that coupled with an advanced mass spectrometer was developed to allow genome-scale human proteome identification. Using the combination of pre-MS peptide fractionation, MS2-based interference detection and post-MS computational interference correction, …