Proteomics Course

Lesson 1 • Ethical and Regulatory Considerations

Addresses informed consent, data privacy, and biosample handling standards in proteomics research. Ensures students understand compliance obligations before conducting experiments.

Lesson 2 • Biological Roles of Proteins

Surveys protein functions: structural, enzymatic, signaling, and regulatory. Connects protein function to the motivation for large-scale proteomic investigation.

Lesson 3 • The Proteome: Scope and Complexity

Defines the proteome and contrasts it with the genome and transcriptome. Establishes why protein diversity exceeds gene count, grounding all downstream analytical rationale.

Lesson 4 • History and Milestones of Proteomics

Traces proteomics from two-dimensional gel electrophoresis to modern mass spectrometry. Provides historical context that explains current methodological choices.

Lesson 1 • Amino Acid Properties and Classification

Covers the twenty standard amino acids, their side-chain chemistry, and physicochemical properties. These properties directly govern protein behavior during chromatography and electrophoresis.

Lesson 2 • Protein Solubility and Stability

Examines factors affecting protein solubility, aggregation, and degradation. Guides students in selecting buffer conditions and storage strategies to preserve sample integrity.

Lesson 3 • Post-Translational Modifications in Depth

Details major PTMs including phosphorylation, glycosylation, ubiquitination, and acetylation. Explains how PTMs alter protein mass and function, directly impacting mass spectrometry detection.

Lesson 4 • Protein Quantification Principles

Introduces colorimetric and UV-based assays for measuring protein concentration. Accurate quantification is foundational to reproducible downstream proteomics experiments.

Lesson 1 • Enzymatic Digestion Strategies

Covers trypsin and alternative proteases, digestion conditions, and missed cleavage management. Peptide generation quality directly determines mass spectrometry identification rates.

Lesson 2 • Sample Cleanup and Desalting

Introduces solid-phase extraction, filter-aided methods, and desalting columns to remove contaminants. Clean samples are essential for optimal chromatography and mass spectrometry performance.

Lesson 3 • Biological Sample Types and Collection

Surveys sample sources including cells, tissues, biofluids, and organelles. Proper collection and handling prevent degradation and bias before any analytical step.

Lesson 4 • Enrichment of Low-Abundance Proteins

Describes depletion of high-abundance proteins and targeted enrichment of PTM-bearing peptides. Enrichment strategies expand proteome coverage in complex biological matrices.

Lesson 5 • Protein Denaturation and Reduction

Explains denaturation with chaotropes, reduction of disulfide bonds, and alkylation of cysteines. These steps ensure complete digestion and accurate peptide identification.

Lesson 1 • Ion-Exchange and Hydrophilic Chromatography

Introduces strong cation exchange and HILIC as orthogonal fractionation modes. Multidimensional fractionation increases proteome depth by reducing co-elution of peptides.

Lesson 2 • Reversed-Phase Liquid Chromatography

Explains RP-LC stationary phases, mobile phase gradients, and peptide retention mechanisms. RP-LC is the dominant separation mode coupled to mass spectrometry in proteomics.

Lesson 3 • Gel Electrophoresis in Proteomics

Covers SDS-PAGE, native PAGE, and two-dimensional gel electrophoresis principles and applications. Gel-based separations remain foundational for protein visualization and targeted excision.

Lesson 4 • Affinity-Based Separation Methods

Describes immunoprecipitation, co-immunoprecipitation, and pull-down assays for targeted protein isolation. Affinity methods enable study of protein complexes and interaction networks.

Lesson 1 • Mass Analyzers and Their Principles

Compares quadrupole, ion trap, Orbitrap, and time-of-flight analyzers by resolution, mass accuracy, and speed. Analyzer selection governs the depth and accuracy of proteome coverage.

Lesson 2 • Data Acquisition Modes

Distinguishes data-dependent acquisition from data-independent acquisition strategies. Acquisition mode selection balances proteome coverage, reproducibility, and quantitative accuracy.

Lesson 3 • Ionization Methods for Proteomics

Explains electrospray ionization and MALDI as the two dominant ionization techniques. Ionization method choice determines sample format, throughput, and the types of analytes detected.

Lesson 4 • Instrument Calibration and Quality Control

Describes mass calibration, lock mass, and system suitability testing protocols. Routine QC ensures data quality and comparability across experiments and instrument platforms.

Lesson 1 • Isotope Labeling Quantification

Covers SILAC, iTRAQ, and TMT labeling strategies for relative and absolute quantification. Isotope labeling reduces technical variability and enables multiplexed sample comparison.

Lesson 2 • Statistical Analysis of Proteomics Data

Applies t-tests, ANOVA, and multiple testing correction to identify differentially expressed proteins. Rigorous statistics distinguish biologically meaningful changes from technical noise.

Lesson 3 • Peptide and Protein Identification Scoring

Covers scoring functions, peptide spectrum match validation, and protein inference rules. Understanding scoring prevents over-reporting false positives in large proteomics datasets.

Lesson 4 • Bioinformatics Pipelines and Software

Surveys MaxQuant, Proteome Discoverer, Perseus, and open-source alternatives for end-to-end analysis. Familiarity with multiple platforms enables flexible, reproducible data processing.

Lesson 5 • Label-Free Quantification Methods

Introduces spectral counting and extracted ion chromatogram-based label-free quantification. LFQ enables broad proteome quantification without chemical labeling reagents.

Lesson 1 • Phosphoproteomics and Signaling Analysis

Covers phosphopeptide enrichment, site localization scoring, and kinase-substrate network analysis. Phosphoproteomics maps active signaling pathways at a systems level.

Lesson 2 • Protein-Protein Interaction Proteomics

Introduces AP-MS, BioID, and cross-linking mass spectrometry for mapping interaction networks. Interaction proteomics reveals protein complex composition and spatial organization.

Lesson 3 • Absolute Protein Quantification

Covers AQUA peptides, QconCAT standards, and targeted MS for absolute molar quantification. Absolute quantification enables stoichiometric modeling of biological systems.

Lesson 4 • Proteome-Wide Structural Proteomics

Explains limited proteolysis, thermal proteome profiling, and hydrogen-deuterium exchange for structural insights. These methods connect protein conformation to function and drug binding.

Lesson 1 • Targeted Proteomics for Verification

Applies SRM and PRM assays to verify biomarker candidates with high sensitivity and specificity. Targeted assays bridge discovery proteomics and clinical immunoassay development.

Lesson 2 • Data Sharing and Reproducibility Standards

Covers proteomics data repositories, minimum reporting standards, and experimental metadata requirements. Adherence to community standards enables data reuse and cross-study comparisons.

Lesson 3 • Clinical Sample Proteomics

Addresses plasma, serum, urine, and cerebrospinal fluid proteomics with matrix-specific challenges. Clinical matrix complexity demands specialized depletion and normalization strategies.

Lesson 4 • Proteomics in Drug Development

Explores target identification, mechanism-of-action studies, and toxicity proteomics in pharmaceutical research. Proteomics accelerates drug development by revealing off-target effects and resistance mechanisms.