Protein Structure

Lecture 11/12 Video 5

๐Ÿงช MS3 โ€“ Part 5: Mass Spectrometry Beyond Proteins

๐Ÿ”ฌ Big Idea

So far, mass spectrometry (MS) has been used mainly for proteins and peptides. But the core principle is broader:

๐Ÿ‘‰ MS works best on polymers with repeating backbones + variable side groups

That means we can also study:

  • ๐Ÿงฌ DNA / oligonucleotides
  • ๐Ÿฌ Carbohydrates
  • ๐Ÿงต Synthetic polymers

๐Ÿงฌ 1. Oligonucleotides (DNA) in Mass Spectrometry

๐Ÿงฉ 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)

๐Ÿ’ฅ Fragmentation of DNA

DNA fragmentation produces multiple ion types:

  • a, b, c ions
  • x, y, z ions
  • w ions

๐Ÿ‘‰ Compared to proteins:

  • DNA has more labile bonds (breaks more easily)
  • This leads to:
    • โš ๏ธ More fragmentation pathways
    • โš ๏ธ More complex spectra

โš ๏ธ Complication: Base Loss

Sometimes fragmentation removes:

  • The base (A, G, etc.)
  • Leaving only sugar + backbone

๐Ÿ‘‰ Result:

  • Spectrum becomes messy
  • Interpretation becomes harder

๐Ÿง  Sequencing DNA with MS

You can sequence DNA by:

  • Tracking mass differences between fragments
  • Doing a sequential โ€œwalkโ€

Example:

  • G โ†’ A โ†’ A โ†’ A โ†’ G โ†’ C โ†’ G

๐Ÿ‘‰ BUT:

  • MS is not the best method for DNA sequencing
  • Other methods are:
    • Faster
    • More accurate

๐Ÿ”— 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

๐Ÿ‘‰ Applications:

  • Primer binding
  • DNAโ€“DNA interactions

๐Ÿฌ 2. Carbohydrates in Mass Spectrometry

๐Ÿงฉ 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

๐Ÿ“Š Fragmentation Pattern

In MS:

  • Peaks are spaced by ~162 Da

๐Ÿ‘‰ This means:

  • Each peak = loss of one sugar unit

โœ” Very useful for:

  • Determining chain length
  • Identifying repeating units

โš ๏ธ Major Challenge: Isomers

Different sugars can have:

  • Same mass
  • Different structure

Examples:

  • Glucose
  • Mannose
  • Galactose

๐Ÿ‘‰ MS cannot distinguish them directly


๐Ÿง  What CAN we identify?

We can still classify:

  • Pentose
  • Hexose
  • Deoxyhexose
  • Acetylated sugars

๐Ÿ‘‰ Useful for:

  • Glycoprotein analysis

๐Ÿ’ฅ Fragmentation Issues

Carbohydrates are:

  • Highly fragmentation-prone

Problems:

  • In-source fragmentation
  • Post-source decay (PSD)

๐Ÿ‘‰ Result:

  • Very busy spectra
  • Hard to interpret manually

๐Ÿค– Solution

๐Ÿ‘‰ Requires:

  • Computational tools
  • Advanced data analysis

๐Ÿงต 3. Synthetic Polymers

๐Ÿง  Key Requirement for MS

For MS to work well:

  • Polymer must have:
    • Regular backbone
    • Labile bonds (easy to break)

โŒ Pure alkane chains โ†’ NOT suitable โœ” Ester or amide bonds โ†’ GOOD


๐Ÿงช Example: Polyhydroxyalkanoates (PHA)

  • Contains ester bonds
  • These break predictably

๐Ÿ“Š Fragmentation pattern:

  • Peaks separated by 86 Da

๐Ÿ‘‰ This equals:

  • Mass of repeating unit

โœ” Indicates:

  • Homopolymer (same unit repeated)

๐Ÿ”€ Heteropolymers (More Complex)

Example:

  • Backbone with:
    • Amide bonds
    • Ester bonds

๐Ÿ‘‰ Now there are:

  • Multiple cleavage sites
  • More fragmentation types

๐Ÿ’ฅ Fragmentation Behavior

You get:

  • Multiple ion series (called โ€œ1โ€ and โ€œ2โ€ here)

Examples:

  • Cleavage at ester โ†’ one fragment type
  • Cleavage at amide โ†’ another

๐Ÿ‘‰ Result:

  • More complex, but still analyzable

โš–๏ธ What determines which fragments appear?

Three main factors:

  • Ion stability
  • Ionization efficiency
  • Energy distribution

๐Ÿ‘‰ Important for:

  • Fragmentation interpretation
  • Quantification (next lectures)

๐Ÿง  Key Takeaways

๐Ÿ”‘ 1. MS works best on polymers with:

  • Repeating backbone
  • Predictable fragmentation

๐Ÿ”‘ 2. Oligonucleotides:

  • Can be fragmented and sequenced
  • More complex than proteins
  • Great for studying interactions

๐Ÿ”‘ 3. Carbohydrates:

  • Show repeating mass differences (162 Da)
  • Hard due to isomers + fragmentation

๐Ÿ”‘ 4. Synthetic polymers:

  • Work if backbone has labile bonds
  • Regular spacing reveals structure

๐Ÿ”‘ 5. General Limitation

As complexity increases:

  • Spectra become messier
  • Interpretation requires:
    • Experience
    • Software

๐Ÿ“Œ Final Insight

Mass spectrometry is not limited to proteins:

๐Ÿ‘‰ It is a general tool for analyzing structured polymers

But its success depends heavily on:

  • Backbone regularity
  • Fragmentation predictability
  • Chemical properties of the molecule

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