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Characterization of the 70S Ribosome from Rhodopseudomonas palustris Using an Integrated TopDown and

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Using an Integrated 'Top-Down' and 'Bottom-Up' Mass Spectrometric Approach ... Nathan C. VerBerkmoes, David L. Tabb, Heather M. Connelly, John W. Barton, Barry ... – PowerPoint PPT presentation

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Title: Characterization of the 70S Ribosome from Rhodopseudomonas palustris Using an Integrated TopDown and


1
Characterization of the 70S Ribosome from
Rhodopseudomonas palustrisUsing an Integrated
Top-Down and Bottom-Up Mass Spectrometric
Approach
  • Authors Michael Brad Strader, Nathan C.
    VerBerkmoes, David L. Tabb, Heather M. Connelly,
    John W. Barton, Barry D. Bruce, Dale A.
    Pelletier, Brian H. Davison, Robert L. Hettich,
    Frank W. Larimer, and Gregory B. Hurst

Presented by Kathy Goodson
2
Overview
  • Top-Down and Bottom-Up
  • LC-MS-MS
  • SEQUEST
  • TDBU Analysis
  • Post-translational Modifications
  • Isoforms
  • R. palustris Ribosomal Proteins
  • Conclusions

3
Top-Down and Bottom-Up
Characterization of the 70S Ribosome from
Rhodopseudomonas palustris
strategies for identifying multiprotein complexes
on a genome-wide scale
  • mass spectrometric approach that incorporates
    optimal identification

4
Top-Down and Bottom-Up
  • Top-Down
  • Approach that involves starting with the intact
    protein mass
  • Bottom-Up
  • Approach that involves starting with proteolytic
    fragments to piece the protein back together

5
Top-Down and Bottom-Up
Top-Down
  • Cons
  • Lack of bioinformatics tools for data analysis
    and verification of PTMs
  • Pros
  • Potential identification of translational start
    and stop sites, mRNA splice variants, and
    Post-translational modifications (PTMs)

Bottom Up
  • Cons
  • PTMs may be overlooked
  • Involves peptide analysis from a complex mixture
  • Pros
  • Identifying large numbers of proteins in a single
    data acquisition

6
Integration of Top-Down and Bottom-Up
  • Assignment of post-translational modifications
    and the amino acid position where they take place
  • Distinction between isoforms
  • Overall the increased confidence of such
    identifications

7
Integration of Top-Down and Bottom-Up
8
LC-MS-MS for Bottom-Up Analysis
One-dimensional (1D) separations
Two-dimensional (2D) separations
Data dependent MS-MS mode
Four parent ions from each mass spectrum were
chosen based on abundance and absence from
exclusion list
Performed over a parent ion m/z range of
400-2000. In addition, separate injections were
made while scanning several narrower parent ion
ranges (m/z 400-1000, m/z 980-1500, and m/z
1480-2000)
9
Bottom-Up Analysis
  • Initial search included only tryptic peptides
    from R. palustris proteins with no PTMs
  • Preliminary results were then reanalyzed using
    SEQUEST by searching against
  • all predicted peptides
  • Spectra from singly charged peptides were
    required to exceed 1.8 in XCorr

10
SEQUEST
Peptide from protein digest sequenced by MS/MS
  • Identification of the AA sequence in the database
    correlating to the measured mass of the selected
    peptide
  • Prediction of the fragmentation pattern that is
    expected for each sequence
  • The fragmentation patterns are matched with the
    experimentally derived MS/MS spectrum

Report of high scoring AA sequences
C. Dass (2001) Principles and Practice of
Biological Mass Spectrometry, John Wiley Sons,
Inc., New York, pp. 194-195.
11
Bottom-Up Analysis
  • Four-mass-range 1D and the 2D
  • strategies resulted in similar
  • identification and overall
  • sequence coverage from the
  • SEQUEST searches
  • In general, 1D and 2D separations
  • where found to be complementary in
  • regard to quality of results obtained,
  • amount of sample required, and time
  • requirements

12
Top-Down Analysis
Ion detection was achieved in an ultrahigh
vacuum regime (2 x 10-10 Torr)
Mass resolution of at least 50,000 at m/z 1000
Deconvoluted molecular mass spectra generation
13
Top Down
  • Most abundant
  • isotopic mass
  • (MAIM) peak was
  • used to query the
  • entire R. palustris
  • protein database

14
TDBU
  • Truncation of the start methionine was the most
    common identified PTM
  • The top-down technique identified an N-terminal
    truncation if the measured intact mass for a
    protein matched that obtained by subtracting the
    methionine residue mass
  • The bottom-up technique identified N-terminal
    peptides without a methionine

15
Post-translational Modifications
  • One of the bottom-up data sets agreed with top
    down data
  • Or if bottom-up data from both the 1D and 2D
    separations were
  • consistent

16
Identification of Isoforms
  • MS-MS spectra
  • representing peptides with
  • di-methylated K69 and
  • mono-methylated
  • K86 residues
  • The top-down
  • molecular mass of
  • 12,754.089 Da indicated
  • that this protein was
  • modified by methionine
  • truncation, plus either
  • multiple methylation or
  • acetylation.

17
R. palustris Ribosomal Proteins
  • The DNA derived sequence for RRP-L25 predicted an
    unusual extended C-terminus deemed a
    poly-alanine tail
  • The only other bacterium found to possess an L25
    protein with this C-terminal poly-alanine tail
    was B. japonicum.
  • Has not previously been identified at the protein
    level in prokaryotes.
  • Bottom-up data from both 1D and 2D LC separations
    included peptides for the entire C-terminal
    extension (with the exception of the last three
    lysine residues).

18
Conclusions
  • 53 of 54 E. coli ribosomal proteins were
    identified from bottom-up MS analysis
  • 42 intact protein identifications were obtained
    by the top-down approach
  • Three ribosomal proteins with unusual extended
    sequences
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