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Top-Down Proteomics
Top-Down Proteomics
I worked on several targeted top-down proteomics workflow for higher-order strcutre analysis of intact amyloid beta oligomer as well as for exploring the proteoform landscape of several proteins associated with neurological diseases such as Amyotrophic Lateral Sclerosis and Alzheimer's Disease.
APP
APP
SOD1
SOD1
Proteins related to neurological disorders that I worked on.
Proteins related to neurological disorders that I worked on.
(Ref.: Wikipedia)
(Ref.: Wikipedia)
TDP43
TDP43
Size of NUsc1-Bound AβO Species determined by AFM and I2MS
(Ref.: Campos et al. JBC 2026)
I optimized the extraction and enrichment of several neuroproteins using immunoprecipitation, PEPPI, and size exclusion chromatography from mouse tissues and studied their size and modifications using charge detection mass spectrometry with liquid chromatography and capillary electrophoresis based front-end separation techniques.
I optimized the extraction and enrichment of several neuroproteins using immunoprecipitation, PEPPI, and size exclusion chromatography from mouse tissues and studied their size and modifications using charge detection mass spectrometry with liquid chromatography and capillary electrophoresis based front-end separation techniques.
Bottom-Up Proteomics
Bottom-Up Proteomics
We developed an untargeted, label-free, bottom-up proteomics workflow using ion-mobility enabled Q-ToF LC-MS/MS with tryptic digest of HeLa cell extract. Then we used the optimized methodology to study human plasma proteins.
Optimum LC-MS parameters and different sample cleanup strategies for bottom-up proteomics
Optimum LC-MS parameters and different sample cleanup strategies for bottom-up proteomics
I worked on this project under the supervision of my mentor, Dr. Matt Sobansky at Streck Inc.
I worked on this project under the supervision of my mentor, Dr. Matt Sobansky at Streck Inc.
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