Comment[ArrayExpressAccession] E-GEOD-49875 MAGE-TAB Version 1.1 Public Release Date 2013-08-15 Investigation Title HuMiChip analysis of Saliva microbiota Comment[Submitted Name] HuMiChip analysis of Saliva microbiota Experiment Description Human saliva microbiota is phylogenetically divergent among host individuals yet their roles in health and disease are poorly appreciated. We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults. Saliva microbiota in the pilot population featured a vast diversity of functional genes. No significant distinction in gene number or diversity indices was observed between healthy and caries-active microbiota. However, co-presence network analysis of functional genes revealed that caries-active microbiota was more divergent in non-core genes than healthy microbiota, despite both groups exhibited a similar degree of conservation at their respective core genes. Furthermore, functional gene structure of saliva microbiota could potentially distinguish caries-active patients from healthy hosts. Microbial functions such as Diaminopimelate epimerase, Prephenate dehydrogenase, Pyruvate-formate lyase and N-acetylmuramoyl-L-alanine amidase were significantly linked to caries. Therefore, saliva microbiota carried disease-associated functional signatures, which could be potentially exploited for caries diagnosis. The DMFT INDEX (Decayed, Missing, Filled [DMF] teeth index used in dental epidemiology) values are provided for each sample We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults. Term Source Name ArrayExpress EFO Term Source File http://www.ebi.ac.uk/arrayexpress/ http://www.ebi.ac.uk/efo/efo.owl Person Last Name Tu Person First Name Qichao Person Email philloid@gmail.com Person Affiliation University of Oklahoma Person Address University of Oklahoma, 101 David L Boren Blvd, Norman, OK, USA Person Roles submitter Protocol Name P-GSE49875-1 P-GSE49875-3 P-GSE49875-4 P-GSE49875-2 P-GSE49875-5 Protocol Description The data processing and analysis was carried out by the IEG microarray manager available at http://ieg.ou.edu/microarray/, which is a data analysis pipeline specifically designed for functional gene arrays such as GeoChip and HuMiChip etc. Data was filtered by SNR<=2, minimal signal intensity>=1000, resulting incomplete/subset data matrix (Probes which did not meet these criteria were not considered as detected in the study). Signal intensity were normalized by CORS universal standard probes (Liang et. al 2010 AEM), probes with SNR<2 are removed, all data was log transformed and mean ratio was calculated for further statistical analysis We used minimal signal intensity of 1000 and SNR (Signal to Noise Ratio) cutoff of 2 for positive callings of the presence of a gene ID_REF = VALUE = mean ratio of normalized log transformed signal to noise intensity DNA was labeled with the fluorescent dye Cy5 (GE Healthcare) by random priming DNA was suspended in hybridization buffer and then kept at 65°C until hybridization. Hybridizations were performed at 42°C for 10 h using a Tecan HS4800 Pro hybridization station Two milliliters of saliva were collected from each human-host individual into a tube containing an equal volume of lysis buffer and followed by DNA extraction Arrays were scanned with a ScanArray 500 microarray scanner at 633 nm using a laser power of 90% and a photomultiplier tube (PMT) gain of 75%. Protocol Type normalization data transformation protocol labelling protocol hybridization protocol nucleic acid extraction protocol array scanning protocol Experimental Factor Name DMFT INDEX AGE SEX Experimental Factor Type dmft index age sex Comment[SecondaryAccession] GSE49875 Comment[GEOReleaseDate] 2013-08-15 Comment[ArrayExpressSubmissionDate] 2013-08-14 Comment[GEOLastUpdateDate] 2013-08-17 Comment[AEExperimentType] comparative genomic hybridization by array SDRF File E-GEOD-49875.sdrf.txt