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1.
bioRxiv ; 2024 Aug 03.
Article in English | MEDLINE | ID: mdl-39211139

ABSTRACT

Background: Mesenchymal stem cells (MSCs) offer clinical promise for use in cell therapy approaches for regenerative medicine. A therapeutic challenge is that MSCs from different tissues are phenotypically and functionally distinct. Therefore, this study aims to molecularly characterize oral-derived MSCs by defining one of the three hallmarks of MSCs, differentiation potential, to discern their true molecular identities. Methods: Three different populations of oral tissue MSCs (from alveolar bone-aBMSCs; from dental pulp-DPSCs; and from gingiva-GMSCs) from three different patients were isolated and cultured. These MSCs were characterized for their stemness by flow cytometry and multi-differentiation potential, and their RNA was also isolated and analyzed quantitatively with RNA sequencing. Total mRNA-seq was performed and differentially expressed genes (DEGs) were identified in pairwise (DPSCs vs. aBMSCs, GMSCs vs. aBMSCs, and GMSCs vs. DPSCs) and tissue-specific comparisons (aBMSCs vs. Others, DPSCs vs. Others, GMSCs vs. Others) (FDR, p<0.05 ). Further, these DEGs, either common between MSC populations or unique to a specific MSC population, were evaluated for pathways and biological processes. Results: aBMSCs, DPSCs, and GMSCs were successfully isolated and characterized. The tissue-specific comparison revealed that DEGs were most numerous in DPSCs (693 genes) as compared to aBMSCs (103 genes) or DPSCs (232 genes). Statistically significant DEGs through pairwise comparisons present higher numbers in GMSCs vs. DPSCs (627) as compared to either DPSCs vs aBMSCs (286) or GMSCs vs. aBMSCs (82). Further analysis found that RUNX2, IBSP, SOX6, ACAN, and VCAM1 were significantly upregulated in aBMSCs. In DPSCs, BMP4 and IL6 were significantly downregulated, whereas AXL and NES were significantly upregulated. In GMSCs, AGPT1, SEMA4D, and PGDFA were significantly downregulated. Additionally, MAPK, PI3-AKT, and RAS signaling pathways were significantly regulated in GMSCs. Interestingly, aBMSCs and DPSCs revealed positive regulation of osteoblast differentiation, whereas GMSCs revealed negative regulation of osteoblast differentiation. DPSCs also revealed negative regulation of angiogenesis. Conclusions: Oral-derived MSCs have an inherent "landscape" of differentiation defined by their tissue of origin; yet this differentiation potential can be modulated by their microenvironment.

2.
Bull Cancer ; 88(3): 243-52, 2001 Mar.
Article in French | MEDLINE | ID: mdl-11313201

ABSTRACT

The Human Genome Project has allowed considerable progress in the construction of physical and genetic maps and the identification of genes involved in human sicknesses. The accelerated accumulation of biological information and knowledge is due in large part to the sequencing projects of other organisms, which in fact paved the way for the Human Genome Project. In parallel, recently developed techniques which take advantage of genomic sequences allow large scale molecular analyses resulting in the functional annotation of many of the proteins represented by these genes. This is the goal of functional genomics. These progresses are at the origin of the present revolution in biomedical research. DNA microarrays are playing a dominant role compared to the other developing technologies since they are relatively easy to make and use and are applicable to numerous scientific inquiries. They allow the simultaneous analysis of several thousands of genes in biological samples from sick or healthy tissues, at the genome or transcriptome level. The data obtained is expected to result in major advances in the health sciences. In addition to an improved understanding of the complex molecular interaction networks of healthy cells and tissues, a more precise genetic characterization of the molecular mechanisms involved in pathology should result in the identification of new therapeutic targets and the development of new medicines. The genetic profiles thus obtained should also permit the definition of new pathologic subclasses not recognizable by traditional clinical factors, as well as new markers for susceptibility to certain illnesses, and new prognostic markers or methods of predicting responses to treatment. In this article, we present the different approaches and potential applications of DNA microarray technology, in particular as applied to cancer research.


Subject(s)
Oligonucleotide Array Sequence Analysis/methods , Chromosome Mapping , Gene Expression , Genome, Human , Humans , Neoplasms/genetics , Nucleic Acid Hybridization , Sequence Analysis, DNA , Transcription, Genetic
3.
Hum Mol Genet ; 9(20): 2981-91, 2000 Dec 12.
Article in English | MEDLINE | ID: mdl-11115842

ABSTRACT

Breast cancer is characterized by an important histoclinical heterogeneity that currently hampers the selection of the most appropriate treatment for each case. This problem could be solved by the identification of new parameters that better predict the natural history of the disease and its sensitivity to treatment. A large-scale molecular characterization of breast cancer could help in this context. Using cDNA arrays, we studied the quantitative mRNA expression levels of 176 candidate genes in 34 primary breast carcinomas along three directions: comparison of tumor samples, correlations of molecular data with conventional histoclinical prognostic features and gene correlations. The study evidenced extensive heterogeneity of breast tumors at the transcriptional level. A hierarchical clustering algorithm identified two molecularly distinct subgroups of tumors characterized by a different clinical outcome after chemotherapy. This outcome could not have been predicted by the commonly used histoclinical parameters. No correlation was found with the age of patients, tumor size, histological type and grade. However, expression of genes was differential in tumors with lymph node metastasis and according to the estrogen receptor status; ERBB2 expression was strongly correlated with the lymph node status (P < 0.0001) and that of GATA3 with the presence of estrogen receptors (P < 0.001). Thus, our results identified new ways to group tumors according to outcome and new potential targets of carcinogenesis. They show that the systematic use of cDNA array testing holds great promise to improve the classification of breast cancer in terms of prognosis and chemosensitivity and to provide new potential therapeutic targets.


Subject(s)
Breast Neoplasms/genetics , Gene Expression Regulation, Neoplastic , Adult , Aged , Aged, 80 and over , Blotting, Northern , Breast Neoplasms/classification , Breast Neoplasms/diagnosis , Female , Gene Expression Profiling , Genetic Heterogeneity , Humans , Middle Aged , Molecular Sequence Data , Multigene Family , Oligonucleotide Array Sequence Analysis , Phylogeny , Prognosis
4.
Oncogene ; 18(26): 3905-12, 1999 Jul 01.
Article in English | MEDLINE | ID: mdl-10445855

ABSTRACT

Analysis of gene expression on a medium- or large-scale is an increasingly recognized method for functional and clinical investigations based on the now extensive catalog of known or partially sequenced genes. The accessibility of this approach can be enhanced by using readily available technology (macroarrays on Nylon, radioactive detection) and the IMAGE resource to assemble sets of targets. We have set up such a medium-scale, flexible system and validated it by the study of quantitative expression levels for 120 genes in six cell lines, including three mammary carcinoma cell lines. A number of important parameters are identified as necessary for the assembly of a valid set and the obtention of good-quality quantitative data. The extensive data assembled in this survey identified potential targets of carcinogenesis, for example the CRABP2 and GATA3 transcription factor genes. We also demonstrate the feasibility of this procedure for relatively small tumor samples, without recourse to probe amplification methods.


Subject(s)
Breast Neoplasms/genetics , Cell Division/genetics , Image Processing, Computer-Assisted , Immunity/genetics , Neoplasms/pathology , Nucleic Acid Hybridization , DNA, Complementary/genetics , Female , Gene Expression Regulation, Neoplastic , Humans , Membranes, Artificial , Neoplasms/genetics , Reproducibility of Results , Subtraction Technique , Tumor Cells, Cultured
5.
J Immunol ; 162(7): 4062-8, 1999 Apr 01.
Article in English | MEDLINE | ID: mdl-10201929

ABSTRACT

NK cell cytotoxicity is a fast and efficient mechanism of target cell lysis. Using transcription analysis, such as multiplex messenger assays, we show here that natural cytotoxicity exerted by the human NKL cell line correlates with mRNA accumulation of very early activator protein (AP)-1 transcription factor genes such as JunB, FosB and c-Fos. In addition, DNA-binding activities of Jun-Fos heterodimers were observed by electrophoretic mobility shift assays during the course of natural cytotoxicity. Interaction between immunoglobulin-like transcript-2/leukocyte Ig-like receptor 1 on NKL cells and HLA-B27 on target cells leads to an impairment of NKL natural cytotoxicity, which correlates with an absence of JunB, FosB, and c-Fos transcription, as well as an absence of their DNA-binding activity. Our studies thus indicate that, despite the rapidity of NK cell-mediated lysis, AP-1 transcription factor is activated during the early stage of NK cell cytolytic programs and that engagement of NK cell inhibitory receptors for MHC class I molecules impairs the very early activation of AP-1.


Subject(s)
Cytotoxicity, Immunologic/genetics , Killer Cells, Natural/immunology , Transcription Factor AP-1/biosynthesis , Antigens, CD/metabolism , Antigens, Differentiation, T-Lymphocyte/metabolism , Cell Line , Cytotoxicity, Immunologic/immunology , DNA/genetics , DNA/metabolism , Gene Expression Regulation/immunology , Genes, fos/genetics , Genes, jun/genetics , HLA-B Antigens/immunology , Humans , Killer Cells, Natural/metabolism , Lectins, C-Type , Leukocyte Immunoglobulin-like Receptor B1 , Nucleic Acid Hybridization/genetics , Nucleic Acid Hybridization/methods , Proto-Oncogene Proteins c-fos/metabolism , Proto-Oncogene Proteins c-jun/metabolism , RNA, Messenger/genetics , RNA, Messenger/metabolism , Receptors, Immunologic/immunology , Transcription Factor AP-1/genetics , Up-Regulation/genetics , Up-Regulation/immunology
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