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Mass Fingerprint

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MW (Average mass): 1136. Trypsin. Trypsin. Treatment with trypsin ... 3. Ile-Ala-Glu-Trp-Met (MW = 113 71 129 186 18 = 648. X-X-X-X-X-X-X-X- Rn-1 Rn R n 1 ... – PowerPoint PPT presentation

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Title: Mass Fingerprint


1
Mass Fingerprint
2
Protease
  • A protease is any enzyme that conducts
    proteolysis, that is, begins protein catabolism
    by hydrolysis of the peptide bonds that link
    amino acids together in the polypeptide chain.
  • Or a protease breaks protein in water.
  • Trypsin is one protease that is commonly used in
    mass spec analysis of proteins.

M-A-L-R-Q-V-
M-A-L-R
Q-V-
3
Cleavage with Trypsin (tryptic digestion)
Trypsin cleaves at only at peptide bond Rn-1 K,
R Rn ¹ P
?
X-X-X-X-X-X-X-X-
Rn-1 Rn R n1
Example
Trypsin
Trypsin
?
?
R- G- F - K- I - A - E - W - M
MW (Average mass) 1136
Treatment with trypsin gives 3 different
fragments  1. R (MW 174)   2. Gly - Phe Lys
(MW 57147128 18 350)  
3. Ile-Ala-Glu-Trp-Met (MW 11371129 186
18 648
Note each internal peptide will end with Lys (K)
or Arg (R)
4
Mass fingerprint
  • 1. Cleave the protein at certain sites (get
    peptides)
  • 2. Measure the masses of the peptides.
  • 3. Find a protein in the database with the same
    theoretical peptide masses.

5
MALDI-TOF/R MS of Peptides from a Tryptic Digest
Peptides from trypsin self-digestion
internal calibrants
Mass Fingerprint of a Pure Protein
6
Search a database for match
RPSESSYKVHRYAKSGGS
another protein

in-silicon digestion
in-silicon digestion


7
Score Method (Naïve)
  • Count the number of matched peaks
  • allowing a small mass tolerance when matching
  • Problem
  • Different peaks have different intensity
  • Some peaks have more proteins match than some
    other peaks

8
Mass Accuracy is Important
9
Score Method (Better)
  • At each mass window, count how often a protein
    contains a peptide in it.
  • Each peak contributes a score log(1/f), where f
    is the frequency a protein contains a peptide
    matching the peak.
  • Add up the scores of peaks.

10
Mascot interface
11
Proteomics with MALDI-TOF/R
  • Cut spots from 2D Gel, destained and tryptic
    digest each spot
  • ( Medium to high silver stained spot)
  • Extract peptides and purify by ZipTip
  • Mix with matrix and analyze by MALDI-TOF/R
  • Compare observed masses with masses in databases
    obtained from virtual tryptic digest of all
    proteins
  • Confidence for hits depends on coverage
    minimum 5 masses

12
(No Transcript)
13
Complications
  • Noise
  • Due to contamination and other reasons
  • Low signal
  • Insufficient sample, poor digestion, poor
    extraction
  • Contaminants that affect ionization SDS,
    acrylamide, salts, detergents, PEG
  • Miss-cleavage
  • RPSDPSYKVHRYAKSGGS
  • VHRYAK may be present in the result
  • Half-tryptic peptides
  • The peptide may break at a non-tryptic site, for
    some reasons. E.g. between D-P
  • Absence of peptides
  • Due to various of reasons
  • False positives.
  • By chance a spectrum matches a protein in a
    database.

14
Most Peptides Do Not Have Unique Mass!
0.1 ppm
1 ppm
10 ppm
Yeast
0.1 ppm
C. Elegans
1 ppm
10 ppm
Calculated percentage uniqueness for masses
500-4,000
15
Further reduce mass ambiguity
  • Use other information about the peptides
  • Such as retention time.
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