Lecture 11/12 Video 5
๐งช MS3 โ Part 5: Mass Spectrometry Beyond Proteins
๐ฌ Big Idea
So far, mass spectrometry (MS) has been used mainly for proteins and peptides. But the core principle is broader:
๐ MS works best on polymers with repeating backbones + variable side groups
That means we can also study:
- ๐งฌ DNA / oligonucleotides
- ๐ฌ Carbohydrates
- ๐งต Synthetic polymers
๐งฌ 1. Oligonucleotides (DNA) in Mass Spectrometry
๐งฉ Structure of DNA (important for MS)
DNA has a repeating backbone:
- Phosphate group
- Sugar
- Base (A, T, G, C)
This regular structure is critical, because:
- MS relies on predictable fragmentation
- Similar to peptides (repeating amide bonds)
๐ฅ Fragmentation of DNA
DNA fragmentation produces multiple ion types:
- a, b, c ions
- x, y, z ions
- w ions
๐ Compared to proteins:
- DNA has more labile bonds (breaks more easily)
- This leads to:
- โ ๏ธ More fragmentation pathways
- โ ๏ธ More complex spectra
โ ๏ธ Complication: Base Loss
Sometimes fragmentation removes:
- The base (A, G, etc.)
- Leaving only sugar + backbone
๐ Result:
- Spectrum becomes messy
- Interpretation becomes harder
๐ง Sequencing DNA with MS
You can sequence DNA by:
- Tracking mass differences between fragments
- Doing a sequential โwalkโ
Example:
- G โ A โ A โ A โ G โ C โ G
๐ BUT:
- MS is not the best method for DNA sequencing
- Other methods are:
- Faster
- More accurate
๐ Studying DNA Interactions (Important Use!)
MS is very useful for studying complex formation:
Example:
- Single strand + double strand โ triple helix
Using MS1 (not MS/MS):
- Detect:
- Binding
- Complex formation
- Stability
๐ Applications:
- Primer binding
- DNAโDNA interactions
๐ฌ 2. Carbohydrates in Mass Spectrometry
๐งฉ Structure of Carbohydrates
Carbohydrates are:
- Built from monosaccharides (e.g., glucose)
- Linked by condensation reactions (like peptides)
Example:
- Glucose (180 Da)
- Minus water (18 Da) โ 162 Da per unit
๐ Fragmentation Pattern
In MS:
- Peaks are spaced by ~162 Da
๐ This means:
- Each peak = loss of one sugar unit
โ Very useful for:
- Determining chain length
- Identifying repeating units
โ ๏ธ Major Challenge: Isomers
Different sugars can have:
- Same mass
- Different structure
Examples:
- Glucose
- Mannose
- Galactose
๐ MS cannot distinguish them directly
๐ง What CAN we identify?
We can still classify:
- Pentose
- Hexose
- Deoxyhexose
- Acetylated sugars
๐ Useful for:
- Glycoprotein analysis
๐ฅ Fragmentation Issues
Carbohydrates are:
- Highly fragmentation-prone
Problems:
- In-source fragmentation
- Post-source decay (PSD)
๐ Result:
- Very busy spectra
- Hard to interpret manually
๐ค Solution
๐ Requires:
- Computational tools
- Advanced data analysis
๐งต 3. Synthetic Polymers
๐ง Key Requirement for MS
For MS to work well:
- Polymer must have:
- Regular backbone
- Labile bonds (easy to break)
โ Pure alkane chains โ NOT suitable โ Ester or amide bonds โ GOOD
๐งช Example: Polyhydroxyalkanoates (PHA)
- Contains ester bonds
- These break predictably
๐ Fragmentation pattern:
- Peaks separated by 86 Da
๐ This equals:
- Mass of repeating unit
โ Indicates:
- Homopolymer (same unit repeated)
๐ Heteropolymers (More Complex)
Example:
- Backbone with:
- Amide bonds
- Ester bonds
๐ Now there are:
- Multiple cleavage sites
- More fragmentation types
๐ฅ Fragmentation Behavior
You get:
- Multiple ion series (called โ1โ and โ2โ here)
Examples:
- Cleavage at ester โ one fragment type
- Cleavage at amide โ another
๐ Result:
- More complex, but still analyzable
โ๏ธ What determines which fragments appear?
Three main factors:
- Ion stability
- Ionization efficiency
- Energy distribution
๐ Important for:
- Fragmentation interpretation
- Quantification (next lectures)
๐ง Key Takeaways
๐ 1. MS works best on polymers with:
- Repeating backbone
- Predictable fragmentation
๐ 2. Oligonucleotides:
- Can be fragmented and sequenced
- More complex than proteins
- Great for studying interactions
๐ 3. Carbohydrates:
- Show repeating mass differences (162 Da)
- Hard due to isomers + fragmentation
๐ 4. Synthetic polymers:
- Work if backbone has labile bonds
- Regular spacing reveals structure
๐ 5. General Limitation
As complexity increases:
- Spectra become messier
- Interpretation requires:
- Experience
- Software
๐ Final Insight
Mass spectrometry is not limited to proteins:
๐ It is a general tool for analyzing structured polymers
But its success depends heavily on:
- Backbone regularity
- Fragmentation predictability
- Chemical properties of the molecule