salivary proteomics: a research example
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Salivary Proteomics: A Research Example. DENT 5302 Topics in Dental Biochemistry Dr. Joel Rudney. What is proteomics?. The goals of proteomics Identify and catalog every protein in a biological system Organs, diseases, cells, bacteria, biological fluids, etc. - PowerPoint PPT PresentationTRANSCRIPT
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Salivary Proteomics:A Research Example
DENT 5302
Topics in Dental BiochemistryDr. Joel Rudney
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What is proteomics? The goals of proteomics
Identify and catalog every protein in a biological systemOrgans, diseases, cells, bacteria, biological fluids, etc.Includes peptides, fragments, alleles, complexes
Compare proteome patternsCancer cells vs. control cellsVirulent bacteria vs. avirulent strainsSaliva from subjects w/ and w/o disease
• Biomarkers and diagnosis• Multifunctionality, amphifunctionality, redundancy
Salivary proteomics is a major research focus at NIDCR
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Key proteomics technologies Separating proteins along two dimensions
1-D separation - bands based on molecular weightDifferent proteins with the same MW indistinguishable
2-D separation - MW vs IEP (charge)Much better resolution of different proteins (as spots)
Mass spectrometry Compare patterns, cut out and digest targets with trypsin Mass spectrometer gives exact MW of peptides in digest
Bioinformatics Derived protein sequences from human (& other) genomes Digest peptide pattern matched against all possibilities Precise identification usually possible
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http://chemfacilities.chem.indiana.edu/facilities/proteomics/PRDFho1.gif
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A research example Research problem - saliva proteins and oral health/ecology
Individual variation in individual salivary proteins Hard to relate to variation in oral flora and disease Multifunctionality, amphifunctionality, redundancy
Alternative strategy Measure individual variation in salivary functions
Bacterial killing, aggregation, live and dead adherence Define subjects at opposite “extremes” of function Recall “extreme” subjects
Compare oral disease prevalenceCompare oral floraCompare proteomic patterns
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Measuring salivary function
Starting point: 96-well plate Coat the wells with hydroxyapatite
Add resting whole saliva - allow pellicle to form at 37° C Add equal volume of bacterial suspensions in saliva analog
Three different species used in different wells Streptococcus cristatus (commensal) Streptococcus mutans (caries) Actinobacillus actinomycetemcomitans (perio disease)
Add fluorescent live/dead DNA stains Blue “live” stain enters all bacteria If membrane damaged, green “dead” stain displaces “live”
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Measurements of function
Aggregation Incubate in plate reader 4 hrs at 37° C Shake 1 sec every 2.5 min, read optical density
Shaking simulates shear force from swallowing Determine change in optical density over 4 hrs
Bacterial killing - read blue and green fluorescence Ratio of live to dead fluorescence after 4 hrs
Adherence of live and dead bacteria Wash plate - read blue and green fluorescence again
Adjust values for control wells Saliva only, bacteria only, buffer only
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Study design Recruit two successive 1st-year dental classes
149 subjects consented Sample collection
Collect resting whole and stimulated parotid saliva Clinical exam for caries and periodontal indices
Assay saliva samples for three functions for each species Statistical analysis of the function data
Principal components analysisSimultaneously looks at variation in all variables
• 4 function variables x 3 speciesExtract major components of “common variation”A technique for simplifying complex data
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Results from resting whole saliva
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Group differences - caries
MOLAR OCCLUSAL SURFACES #DF
GROUPED BY ADHERENCE OF DEAD BACTERIA
Min25%Median75%Max
BOTTOM 25%TOP 25%
9
7
5
3
1
N = 37 N = 40
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The recall phase
Recall students in the four extreme groups Collect resting whole saliva for proteomic study Collect overnight supragingival plaque for microbiology
Four sites exposed to different salivary flow• Buccal first molar site pooled• Lingual first molar sites pooled• Buccal upper incisor sites pooled• Lingual lower incisor sites pooled
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Microbiology outcomes
Total biofilm DNA (proxy for total bacteria) Total streptococci (by quantitative PCR) Major periodontal pathogens (by quantitative PCR)
A. actinomycetemcomitans Porphyromonas gingivalis Tannerella forsythia (forsythensis)
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Biofilm DNA results
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Results for total streptococci
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T. forsythia results
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Proteomic comparison
Recall 18 Haa and 23 Laa subjects Collect fresh expectorated whole saliva
Clarify by centrifugation Preparative isoelectric focusing - first dimension
Bio-Rad Rotafor™ unit 20 fractions of different pI for each sample
Molecular weight by SDS-PAGE - second dimension Protein concentrations not standardized to preserve
quantitative differences
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20 fractions (from one subject)
11.5 10 9 8.78.48.2 8 7.77.47.2 7 6.76.5 6 5.75.34.7 4 3.5 3
BASICPOOL
NEUTRAL POOL MOD.ACIDICPOOL
ACIDICPOOL
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Strategy for comparing subjects For each pI pool
Molecular weight by SDS-PAGE - second dimensionProtein concentrations not standardized to preserve
quantitative differences Each sample replicated in three different gels
Gels for each group pair imaged Software used to determine:
Band MW and average optical density AOD Band matching by MW within and between group pairs
Partial least squares analysis For when you have more variables than subjects
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Example from the basic pool
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Band Caries Tf Plaque Strep Group Mean
AR4 0.63 0.82 0.56 0.56 0.54 0.62
B1 0.18 0.26 0.54 0.99 0.50 0.49
B2 0.89 1.00 0.93 0.81 0.47 0.82
B16 0.51 0.53 0.44 0.31 0.96 0.55
MAR2 0.71 0.58 0.52 0.55 0.80 0.63
MAR3 0.81 0.87 0.59 0.59 0.57 0.67
MAR5 0.45 0.44 0.61 1.01 0.31 0.56
MAR6 0.71 0.58 0.52 0.55 0.80 0.63
MAR7 0.85 0.59 0.43 0.40 0.84 0.62
MAR9 0.73 0.90 0.92 0.91 0.73 0.84
MAR10 0.83 0.99 0.70 0.65 1.03 0.84
NR2 0.27 0.65 0.54 0.55 0.82 0.57
NR3 0.80 0.86 0.57 1.07 0.26 0.71
NR12 0.52 1.02 0.98 0.50 1.41 0.89
Reduced bands with VIP > 0.80
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Group differences for MAR9 and MAR10
t = –3.2; p = 0.0026 t = –5.7; p = 0.000001
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Protein identification by MSMS
MAR9 is a truncated form of salivary cystatin S, missing the first 8 N-terminal amino acids
MAR10 is salivary statherin
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Direct or indirect relationships?
Premature to assume direct relationships Intact cystatin S and statherin are pellicle components
Does variation in their prevalence affect pellicle structure? Could that in turn affect bacterial colonization patterns?
Direct relationships not essential to their use as biomarkers Desirable properties of N-8 cystatin S, and statherin
Broad continuous distributionsAssociated with caries and microbiological outcomes
• Markers for risk of caries and periodontal disease? Longitudinal studies needed Clinically useful assays needed
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References
Rudney JD, Staikov RK (2002). Simultaneous measurement of the viability, aggregation, and live and dead adherence of Streptococcus crista, Streptococcus mutans and Actinobacillus actinomycetemcomitans in human saliva in relation to indices of caries, dental plaque and periodontal disease. Arch Oral Biol 47:347-59.
Rudney JD, Pan Y, Chen R (2003). Streptococcal diversity in oral biofilms with respect to salivary function. Arch Oral Biol 48:475-93.
Rudney JD, Chen R (2004). Human salivary function in relation to the prevalence of Tannerella forsythensis and other periodontal pathogens in early supragingival biofilm. Arch Oral Biol 49:523-7.
Rudney, J.D., R. K. Staikov, & Johnson, J.D. Proteomic analysis of salivary antimicrobial functions. Presented at the 83rd General Session of the International Association for Dental Research, Baltimore, Maryland, March 9-12, 2005.