Protein Structure
Day 11 part 2
๐งฌ Why PTMs Matter (Proteoforms concept)
- A single gene does not produce just one protein
- PTMs create many proteoforms (functional variants)
๐ Implication:
- Protein function is not determined by sequence alone
- PTMs encode an additional regulatory layer
โ๏ธ Types of PTMs (Broader Perspective)
Beyond phosphorylation, the transcript emphasizes:
- Oxidation โ often stress-related
- Methylation / acetylation โ gene regulation, chromatin structure
- Ubiquitination โ protein degradation signal
- Glycosylation โ structural + signaling roles
๐ Important concept:
- PTMs can be:
- Biological (in vivo)
- Artificial (introduced experimentally)
๐งช Chemical vs Biological Modifications
- Not all detected modifications are โnaturalโ
Examples:
- Biological:
- Phosphorylation
- Glycosylation
- Experimental:
- Carbamidomethylation (sample prep)
- Fluorescent labeling
- TMT tagging
๐ Insight:
- You must always know:
- What was introduced experimentally
- vs.
- What is biologically relevant
๐ Complementary Role of MS
MS is not standalone:
- Can validate:
- Fluorescent labeling
- Chemical tagging
- Provides independent confirmation
๐ Principle:
- More independent evidence โ stronger scientific conclusions
๐ Fragmentation Pattern Logic (Deeper Insight)
Key principle:
- Fragmentation produces predictable ion series
What really matters:
- m/z positions, not intensity
๐ Important correction:
- Intensity differences โ meaningful for identification
- Position shifts = structural information
๐ง Localization of PTMs โ Subtle Challenge
Even if you detect a modification:
- Locating the exact residue can be difficult
Why:
- Fragment spacing still corresponds to residue masses
- The modification is โhiddenโ inside a fragment
๐ You detect:
- โSomething changed between these fragmentsโ
But:
- You must infer where exactly
๐งฎ De Novo vs Reference-Based Identification
Two strategies:
1. Reference-based
- Compare to known peptide spectrum
2. De novo
- Predict fragmentation pattern
- Match experimentally
๐ Insight:
- De novo is more flexible but harder and error-prone
โก Charge States in Fragmentation
You saw this partially, but here is the deeper point:
- MS spectra can contain:
- Singly charged ions (1+)
- Doubly charged ions (2+)
Why this matters:
- Doubly charged ions:
- Appear at lower m/z
- Can confuse interpretation
๐ In your course:
- Focus is simplified โ only singly charged ions
๐ Missing Peaks (e.g., missing B8)
Observed phenomenon:
- Some expected fragments are missing
Reasons:
- Fragment not formed
- Fragment unstable
- Detection limit
๐ Important:
- You do not need a complete series
- Partial series is often sufficient
๐งฉ Search Space Problem in PTM Analysis
Critical concept:
- More PTMs โ more possibilities โ harder analysis
Consequences:
- Slower computation
- Higher false positives
๐ Strategy:
- Limit search to:
- Likely PTMs
- Specific residues
๐งช Enrichment Strategies (Expanded View)
You mentioned removal of unmodified peptides, but more broadly:
Types of enrichment:
- Column-based
- Resin-based
- Antibody-based
Concept:
- โPull-downโ of specific PTMs before MS
๐ Trade-off:
- Less global overview
- Much deeper insight into specific PTMs
๐ Global vs Targeted PTM Analysis
Global analysis:
- Detect all modifications
- Broad but shallow
Targeted analysis:
- Focus on one PTM (e.g., phosphorylation)
- Deep but narrow
๐ Core trade-off:
- Breadth vs depth
๐งฌ Comparative PTM Analysis (Biological Insight)
MS allows comparison between conditions:
- Control vs treated
- Healthy vs diseased
What you can learn:
- Which PTMs increase/decrease
- Which pathways are activated
๐ Example from transcript:
- Cytokine treatment โ changes in:
- Phosphorylation
- Acetylation
๐ฌ Glycoproteomics โ Why Itโs Difficult (Expanded)
Problem 1: Structural complexity
- Glycans are:
- Branched
- Highly variable
Problem 2: Combinatorial explosion
- Many possible structures per site
Problem 3: Instability (labile)
- Break during MS fragmentation
๐ Result:
- Standard workflows fail
- Requires specialized methods
โ๏ธ Core Limitation of Mass Spectrometry
You cannot have everything at once:
- High complexity sample โ low depth
- Low complexity sample โ high depth
๐ Fundamental constraint:
- Instrument time and detection capacity are limited
๐ง Final Conceptual Summary
What MS-based PTM analysis really is:
- Detect mass shifts
- Map them to known modifications
- Use fragment ions to localize the site
- Use enrichment to reduce complexity
- Interpret biological meaning
๐ Big Picture Takeaways
- PTMs are essential for functional diversity
- MS detects PTMs via ฮmass + fragmentation shifts
- Identification depends on:
- Residue specificity
- Fragment pattern analysis
- Major challenges:
- Search space explosion
- Labile modifications (glycans)
- Incomplete fragmentation
- Experimental design (enrichment, constraints) is as important as analysis
Quiz
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