High Proliferative Placenta-Derived Multipotent Cells Express Cytokeratin 7 at Low Level.

The purpose of this study was to investigate the immunophenotypes and gene expression profile of high proliferative placenta-derived multipotent cells (PDMCs) population at different stages of culture. We demonstrated that the colonies resulting from single cells were either positive or negative for CK7, whereas only PDMC clones with weak CK7 expression (CK7low-clones) were highly proliferative. Interestingly, vimentin positive (Vim+) placental stromal mesenchymal cells did not express CK7 in situ, but double CK7+Vim+ cells detection in tissue explants and explants outgrowth indicated CK7 inducible expression in vitro. PCNA presence in CK7+Vim+ cells during placental explants culturing confirmed belonging of these cells to proliferative subpopulation. Transcription factors CDX2 and EOMES were expressed in both CK7low-clones and subset of stromal mesenchymal cells of first-trimester placental tissue in situ. Meanwhile, CK7low -clones and stromal mesenchymal cells of full-term placental tissue in situ expressed ERG heterogeneously. SPP1, COL2A1, and PPARG2 mesodermal-related genes expression by CK7low-clones additionally confirms their mesenchymal origin. Inherent stem cell-related gene expression (IFTM3, POU5F1, and VASA) in CK7low-clones might indicate their enrichment for progenitors. Finally, in CK7low-clones we observed expression of such trophoblast-associated genes as CGB types I and II, fusogenic ERVW-1, GCM1, and GATA3. Thus, our results indicate that PDMCs acquired the representative immunophenotype signature under culture conditions.

[Exceptionally high content of mRNA of IGF-II-associated protein in meningiomas].

A comparison of gene expression profiles in different types of human brain tumours and normal brain by Serial Analysis of Gene Expression (SAGE) revealed exceptionally high content of CTTGGGTTTT tag in meningioma and ependimoma SAGE-libraries. A search of the most relevant gene for this tag on the website "SAGE Anatomic Viewer" showed that it belonged to the nucleotide sequence of insulin-like growth factor II (IGF-II) gene as well as to the open reading frame 43 on a chromosome 11 (C11orf43). This nucleotide sequence encodes putative insulin-like growth factor II associated protein (IGF-IIA). mRNA for this protein is produced as a result of the processing of IGF-II gene primary transcript. Northern analysis of glial tumours and meningiomas showed the exceptionally high level of mRNA of IGF-II-associated protein in meningiomas. Protein, encoded by this mRNA, can play the important role in meningioma formation and may be used as their specific molecular marker.

Comparison of microarray and sage techniques in gene expression analysis of human glioblastoma.

To enhance glioblastoma (GB) marker discovery we compared gene expression in GB with human normal brain (NB) by accessing SAGE Genie web site and compared obtained results with published data. Nine GB and five NB SAGE-libraries were analyzed using the Digital Gene Expression Displayer (DGED), the results of DGED were tested by Northern blot analysis and RT-PCR of arbitrary selected genes. Review of available data from the articles on gene expression profiling by microarray-based hybridization showed as few as 35 overlapped genes with increased expression in GB. Some of them were identified in four articles, but most genes in three or even in two investigations. There was found also some differences between SAGE results of GB analysis. Digital Gene Expression Displayer approach revealed 676 genes differentially expressed in GB vs. NB with cut-off ratio: twofold change and P < or = 0.05. Differential expression of selectedgenes obtained by DGED was confirmed by Northern analysis and RT-PCR. Altogether, only 105 of 955 genes presented in published investigations were among the genes obtained by DGED. Comparison of the results obtained by microarrays and SAGE is very complicated because authors present only the most prominent differentially expressed genes. However, even available data give quite poor overlapping of genes revealed by microarrays. Some differences between results obtained by SAGE in different investigations can be explained by high dependence on the statistical methods used. As for now, the best solution to search for molecular tumor markers is to compare all available results and to select only those genes, which significant expression in tumor combined with very low expression in normal tissues was reproduced in several articles. 105 differentially expressed genes, common to both methods, can be included in the list of candidates for the molecular typing of GBs. Some genes, encoded cell surface or extra-cellular proteins may be useful for targeting gliomas with antibody-based therapy.