Proteogenomika

Proteomic Workflow

The core of the approach involves building custom databases from RNA-seq data, allowing for a comprehensive overview of potential protein isoforms.

Mass spectrometry is then employed to identify these proteins, providing detailed information about their composition and modifications.

Furthermore, the workflow incorporates analysis of variant peptides and splice forms, crucial aspects in understanding genetic influences on proteomic profiles.

Proteomic Analysis

The primary goal of this study is to identify and characterize novel protein biomarkers associated with the progression of Alzheimer's disease. We will employ a multi-faceted proteomic approach, including mass spectrometry (MS) analysis of cerebrospinal fluid (CSF) samples.

First, we will prepare CSF samples by centrifugation and filtration to remove cellular debris. The resulting supernatant will be subjected to enzymatic digestion using trypsin.

Subsequently, the digested proteins will be analyzed using high-resolution MS to identify differentially expressed protein isoforms. We will utilize label-free quantification techniques to accurately measure protein abundance levels.

Furthermore, we will validate our findings using orthogonal methods such as ELISA and Western blotting to confirm the reliability of the identified biomarkers. This rigorous validation process is crucial for ensuring the clinical relevance of our results.

Finally, we will integrate these proteomic data with genetic information to identify potential therapeutic targets for Alzheimer's disease.

Frequently asked questions

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