Quantitative analysis of the intra- and inter-subject variability of the whole salivary proteome
Background and Objective Interest in human saliva is increasing for disease‐specific biomarker discovery studies. However, protein composition of whole saliva can grossly vary with physiological and environmental factors over time and it comprises human as well as bacterial proteins. Material and Me...
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Published in | Journal of periodontal research Vol. 48; no. 3; pp. 392 - 403 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Blackwell Publishing Ltd
01.06.2013
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Subjects | |
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Abstract | Background and Objective
Interest in human saliva is increasing for disease‐specific biomarker discovery studies. However, protein composition of whole saliva can grossly vary with physiological and environmental factors over time and it comprises human as well as bacterial proteins.
Material and Methods
We compared intra‐ and inter‐subject variabilities using complementary gel‐based (two‐dimensional difference gel electrophoresis, 2‐D DIGE) and gel‐free (liquid chromatography tandem mass spectrometry, LC‐MS/MS) proteomics profiling of saliva. Unstimulated whole saliva of four subjects was examined at three different time‐points (08.00 h, 12.00 h and 17.00 h) and variability of the saliva proteome was analyzed on two successive days by LC‐MS/MS.
Results
In the 2‐D DIGE experiment, the median coefficient of variation (CV) for intra‐subject variability was significantly lower (CV of 0.39) than that for inter‐subject variability (CV of 0.57; CV of technical replicates 0.17). LC‐MS/MS data confirmed the significantly lower variation within subjects over time (CV of 0.37) than the inter‐subject variability (CV of 0.53; CV of technical replicates 0.11), and that the inter‐subject variability was not time‐dependent.
Conclusion
Both techniques revealed similar trends of variations on technical, intra‐ and inter‐subject level but provided peptide and protein focused information and should thus be used as complementary approaches. The data presented indicate that 2‐D DIGE as well as LC‐MS/MS approaches are suitable for biomarker screening in saliva. |
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AbstractList | Background and Objective
Interest in human saliva is increasing for disease‐specific biomarker discovery studies. However, protein composition of whole saliva can grossly vary with physiological and environmental factors over time and it comprises human as well as bacterial proteins.
Material and Methods
We compared intra‐ and inter‐subject variabilities using complementary gel‐based (two‐dimensional difference gel electrophoresis, 2‐D DIGE) and gel‐free (liquid chromatography tandem mass spectrometry, LC‐MS/MS) proteomics profiling of saliva. Unstimulated whole saliva of four subjects was examined at three different time‐points (08.00 h, 12.00 h and 17.00 h) and variability of the saliva proteome was analyzed on two successive days by LC‐MS/MS.
Results
In the 2‐D DIGE experiment, the median coefficient of variation (CV) for intra‐subject variability was significantly lower (CV of 0.39) than that for inter‐subject variability (CV of 0.57; CV of technical replicates 0.17). LC‐MS/MS data confirmed the significantly lower variation within subjects over time (CV of 0.37) than the inter‐subject variability (CV of 0.53; CV of technical replicates 0.11), and that the inter‐subject variability was not time‐dependent.
Conclusion
Both techniques revealed similar trends of variations on technical, intra‐ and inter‐subject level but provided peptide and protein focused information and should thus be used as complementary approaches. The data presented indicate that 2‐D DIGE as well as LC‐MS/MS approaches are suitable for biomarker screening in saliva. Interest in human saliva is increasing for disease-specific biomarker discovery studies. However, protein composition of whole saliva can grossly vary with physiological and environmental factors over time and it comprises human as well as bacterial proteins.BACKGROUND AND OBJECTIVEInterest in human saliva is increasing for disease-specific biomarker discovery studies. However, protein composition of whole saliva can grossly vary with physiological and environmental factors over time and it comprises human as well as bacterial proteins.We compared intra- and inter-subject variabilities using complementary gel-based (two-dimensional difference gel electrophoresis, 2-D DIGE) and gel-free (liquid chromatography tandem mass spectrometry, LC-MS/MS) proteomics profiling of saliva. Unstimulated whole saliva of four subjects was examined at three different time-points (08.00 h, 12.00 h and 17.00 h) and variability of the saliva proteome was analyzed on two successive days by LC-MS/MS.MATERIAL AND METHODSWe compared intra- and inter-subject variabilities using complementary gel-based (two-dimensional difference gel electrophoresis, 2-D DIGE) and gel-free (liquid chromatography tandem mass spectrometry, LC-MS/MS) proteomics profiling of saliva. Unstimulated whole saliva of four subjects was examined at three different time-points (08.00 h, 12.00 h and 17.00 h) and variability of the saliva proteome was analyzed on two successive days by LC-MS/MS.In the 2-D DIGE experiment, the median coefficient of variation (CV) for intra-subject variability was significantly lower (CV of 0.39) than that for inter-subject variability (CV of 0.57; CV of technical replicates 0.17). LC-MS/MS data confirmed the significantly lower variation within subjects over time (CV of 0.37) than the inter-subject variability (CV of 0.53; CV of technical replicates 0.11), and that the inter-subject variability was not time-dependent.RESULTSIn the 2-D DIGE experiment, the median coefficient of variation (CV) for intra-subject variability was significantly lower (CV of 0.39) than that for inter-subject variability (CV of 0.57; CV of technical replicates 0.17). LC-MS/MS data confirmed the significantly lower variation within subjects over time (CV of 0.37) than the inter-subject variability (CV of 0.53; CV of technical replicates 0.11), and that the inter-subject variability was not time-dependent.Both techniques revealed similar trends of variations on technical, intra- and inter-subject level but provided peptide and protein focused information and should thus be used as complementary approaches. The data presented indicate that 2-D DIGE as well as LC-MS/MS approaches are suitable for biomarker screening in saliva.CONCLUSIONBoth techniques revealed similar trends of variations on technical, intra- and inter-subject level but provided peptide and protein focused information and should thus be used as complementary approaches. The data presented indicate that 2-D DIGE as well as LC-MS/MS approaches are suitable for biomarker screening in saliva. Interest in human saliva is increasing for disease-specific biomarker discovery studies. However, protein composition of whole saliva can grossly vary with physiological and environmental factors over time and it comprises human as well as bacterial proteins. We compared intra- and inter-subject variabilities using complementary gel-based (two-dimensional difference gel electrophoresis, 2-D DIGE) and gel-free (liquid chromatography tandem mass spectrometry, LC-MS/MS) proteomics profiling of saliva. Unstimulated whole saliva of four subjects was examined at three different time-points (08.00 h, 12.00 h and 17.00 h) and variability of the saliva proteome was analyzed on two successive days by LC-MS/MS. In the 2-D DIGE experiment, the median coefficient of variation (CV) for intra-subject variability was significantly lower (CV of 0.39) than that for inter-subject variability (CV of 0.57; CV of technical replicates 0.17). LC-MS/MS data confirmed the significantly lower variation within subjects over time (CV of 0.37) than the inter-subject variability (CV of 0.53; CV of technical replicates 0.11), and that the inter-subject variability was not time-dependent. Both techniques revealed similar trends of variations on technical, intra- and inter-subject level but provided peptide and protein focused information and should thus be used as complementary approaches. The data presented indicate that 2-D DIGE as well as LC-MS/MS approaches are suitable for biomarker screening in saliva. |
Author | Hammer, E. Kocher, T. Völker, U. Gesell-Salazar, M. Dinh, K. H. D. Holtfreter, B. Steil, L. Schurmann, C. Jehmlich, N. Dhople, V. M. |
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Notes | ark:/67375/WNG-DWF0WKXM-N Figure S1. For identification of protein spots of whole saliva a pool of 400 μg protein was separated by 2-DE and stained with coomassie brilliant blue.Figure S2. Subject ordered standard deviation of spot volumes of the 2-DIGE experiment.Figure S3. Subject ordered standard deviation of protein intensities of the LC-MS/MS experiment.Table S1. MALDI protein identification_n106.xlsx.Table S2. LC-MS protein identification list with corresponding proteins.Table S3. Pearson correlation coefficient (R2) of protein intensities.Table S4. Table of analysis of variance (ANOVA) values of the gel-based and gel-free approaches. Federal Ministry of Education and Research and the Ministry of Cultural Affairs of the Federal State of Mecklenburg-West Pomerania - No. 03IS2061A istex:C378D764D48447D013D539B1A1FF7A101AA8CC43 ArticleID:JRE12025 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
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Interest in human saliva is increasing for disease‐specific biomarker discovery studies. However, protein composition of whole saliva... Interest in human saliva is increasing for disease-specific biomarker discovery studies. However, protein composition of whole saliva can grossly vary with... |
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SubjectTerms | 2-D DIGE Adult Analysis of Variance Electrophoresis, Gel, Two-Dimensional Evaluation Studies as Topic Female Gene Expression Profiling Genetic Variation Humans intra- and inter-subject variability LC-MS/MS Male Middle Aged proteome Proteomics - methods Salivary Proteins and Peptides - analysis Salivary Proteins and Peptides - genetics Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Statistics, Nonparametric whole saliva |
Title | Quantitative analysis of the intra- and inter-subject variability of the whole salivary proteome |
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