Dataset Information

PDL cellS from human deciduous and permanent teeth LC-MS/MS

ABSTRACT: Physiological functions of periodontal ligament (PDL) include anchorage, force absorption,and proprioceptive information. Despite the knowledge about biology of PDL cells, there is a lack of information regarding the molecular signature of permanent (PermPDL) and deciduous (DecPDL) PDL tissues. The present study was designed to characterize the membrane proteome of DecPDL and PermPDL primary cells (n=6) by a label-free quantitative proteome.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture, Periodontal Ligament

SUBMITTER: Cristiane R. Salmon

LAB HEAD: Francisco Humberto Nociti Junior

PROVIDER: PXD010226 | Pride | 2018-12-14

REPOSITORIES: Pride

ACCESS DATA

Publications

Membrane proteome characterization of periodontal ligament cell sets from deciduous and permanent teeth.

Giovani Priscila A PA Salmon Cristiane R CR Martins Luciane L Leme Adriana F P AFP Puppin-Rontani Regina M RM Mofatto Luciana S LS Nociti Francisco H FH Kantovitz Kamila R KR

Journal of periodontology 20181214 7

<h4>Background</h4>Physiological roles for the periodontal ligament (PDL) include tooth eruption and anchorage, force absorption, and provision of proprioceptive information. Despite the advances in understanding the biology of PDL cells, there is a lack of information regarding the molecular signature of deciduous (DecPDL) and permanent (PermPDL) PDL tissues. Thus, the present study was designed to characterize the membrane proteome of DecPDL and PermPDL cells.<h4>Methods</h4>Primary PDL cells ...[more]

PMID: 30499115

Similar Datasets

Project description:Deciduous and permanent human teeth represent a model system to study ageing of mesenchymal populations. Aging is tightly connected to self-renewal and proliferation and thus, mapping potential molecular differences in these characteristics between populations constitutes an important task. Specifically designed microarray panels were used. We have detected a number of molecules that were differentially expressed in dental pulp mesenchyme from deciduous and permanent teeth extracted from young children and adults, respectively. Among the differentially regulated genes HMGA2, a stem cell-associated marker, stood out as a remarkable example with a robust expression in deciduous pulp cells. In addition to this, we discovered that several proliferation-related genes, including CDC2A and CDK4, were up-regulated in deciduous pulp cells, while matrix genes COL1A1, fibronectin and several signaling molecules, such as VEGF, FGFr-1 and IGFr-1 were up-regulated in the pulp cells from permanent teeth. Taken together, our data suggest that deciduous pulp cells are more robust in self- renewal and proliferation, whereas adult dental pulp cells are more capable of signaling and matrix synthesis. The deciduous teeth were collected from 3-12-year-old children (N=8), whereas the permanent teeth were collected from adults, 19-52 years of age (N=8). The tooth was mechanically separated into two halves to remove all soft tissue in the pulp. The pulp tissue was digested and the dissociated cells were passed through cell strainer and plated with culture medium. The cells were then passaged at 90% confluency to a 10 cm dish for expansion. RNA was extracted from passage one cells with the Qiagen RNeasy Mini Kit. Microarray analysis was performed using PIQORTM Stem Cell Microarray chip (Miltenyi Biotech), which is comprised of 942 relevant genes for stem/progenitor cells and key genes for cell differentiation, to identify gene sets that are differentially expressed between cells in the deciduous and adult teeth. A total of 1 μg RNA for each sample was used for amplification and further analysis with the PIQORTM stem cell microarray chip (Miltenyi Biotec), followed by detection with a laser scanner (Agilent Technologies). In total, 8 comparisons were performed with dataset consisting of two microarrays, each containing a total of 11 slides with signal intensities within the R/Bioconductor statistical framework. The Linear Model for Microarray Data package (Limma) was used to pre-process the raw data, perform quality controls and estimate statistical significance. Expression intensities were background-corrected using a convolution of normal and exponential distributions with an offset of 50, which were then normalized within every slide using loess normalization. We analyzed the red and green channels separately using the mixed model method and different groups were quantile-normalized separately. The correlation was computed between the two channels for the same spot. Differentially expressed genes were identified by computing the contrasts, fitting to a linear model, performing the hypothesis tests, and correcting for multiple testing by performing the false discovery rate using the Benjamini-Hochberg correction.

Dataset Information

PDL cellS from human deciduous and permanent teeth LC-MS/MS

Publications

Membrane proteome characterization of periodontal ligament cell sets from deciduous and permanent teeth.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure