Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Isolation and Characterisation of a Novel Trophoblast Hoescht Side-Population with Stem Cell Properties from First Trimester Placentae

ABSTRACT: In this work, we have isolated a Hoescht side-population of trophoblasts from first trimester human placentae that cluster separately from more differentiated trophoblast populations, and have a transcriptomic profile indicative of a stem cell population. Hoescht side-population cells were compared in quintuplicate with extravillous trophoblasts and cytotrophoblasts extracted from the same placentae, giving a total of 15 samples.

ORGANISM(S): Homo sapiens

SUBMITTER: Daniel Hurley

PROVIDER: E-GEOD-57834 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Isolation and characterisation of a novel trophoblast side-population from first trimester placentae.

James J L JL Hurley D G DG Gamage T K J B TK Zhang T T Vather R R Pantham P P Murthi P P Chamley L W LW

Reproduction (Cambridge, England) 20150806 5

The placenta is responsible for all nutrient and gas exchange between mother and baby during pregnancy. The differentiation of specialised placental epithelial cells called trophoblasts is essential for placental function, but we understand little about how these populations arise. Mouse trophoblast stem cells have allowed us to understand many of the factors that regulate murine trophoblast lineage development, but the human placenta is anatomically very different from the mouse, and it is impe ...[more]

PMID: 26248480

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Project description:An increased serum alkaline phosphatase concentration is known to be associated with a negative prognosis in canine and human osteosarcoma. To expand upon previous studies regarding the biological relevance of increased serum alkaline phosphatase as a negative prognostic factor, xenogeneic heterotopic transplants were performed using six canine primary osteosarcoma cell lines generated from patients with differing serum alkaline phosphatase concentrations (3 normal and 3 increased). Three of the six cell lines were capable of generating tumors and tumor formation was independent of the serum alkaline phosphatase status of the cell line. Microarray analysis identified 379 genes as being differentially-expressed between the tumorigenic and non-tumorigenic cell lines. Frizzled-6 was up-regulated to the greatest extent (7.78 fold) in tumorigenic cell lines compared to non-tumorigenic cell lines. Frizzled-6, a co-receptor for Wnt ligands has been associated with enhanced tumor-initiating cells and poor prognosis for other tumors. The increased expression of frizzled-6 was confirmed by QPCR and Western blot analysis. Additionally, the tumorigenic cell lines also had an increase in the percentage of side population cells compared to non-tumorigenic cell lines (5.89% versus 1.58%, respectively). There were no differences in tumorigenicity, frizzled-6, or percentage of side population cells noted between osteosarcoma cell lines generated from patients of differing serum alkaline phosphatase concentration. However, to our knowledge this is the first study to identified frizzled-6 as a possible marker of osteosarcoma cell populations with enhanced tumorigenicity and side population cells. Future work will focus on defining the role of frizzled-6 in osteosarcoma tumorigenesis and tumor-initiating cells. A total of six canine primary osteosarcoma cell lines were used in this study. Three cell lines were capable of forming tumors when transplanted into mice (tumorigenic) and three cell lines were not capable of forming tumors upon transplant into mice (non-tumorigenic). The gene expression data is from the primary cell lines, not the transplanted cells. There were no reference cell lines or controls used in this study.

Dataset Information

Isolation and Characterisation of a Novel Trophoblast Hoescht Side-Population with Stem Cell Properties from First Trimester Placentae

Publications

Isolation and characterisation of a novel trophoblast side-population from first trimester placentae.

Similar Datasets

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