gene exp cd34 hs00156373 m1 (Thermo Fisher)
Structured Review

Gene Exp Cd34 Hs00156373 M1, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cd34++fraction/Gene+Exp%2E+CD34%2C+Hs00156373_m1/pmc03143417-8-0--1
Average 90 stars, based on 1 article reviews
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1) Product Images from "Subfractionation of Differentiating Human Embryonic Stem Cell Populations Allows the Isolation of a Mesodermal Population Enriched for Intermediate Mesoderm and Putative Renal Progenitors"
Article Title: Subfractionation of Differentiating Human Embryonic Stem Cell Populations Allows the Isolation of a Mesodermal Population Enriched for Intermediate Mesoderm and Putative Renal Progenitors
Journal: Stem Cells and Development
doi: 10.1089/scd.2010.0017
Figure Legend Snippet: List of Predesigned Taqman ® Probes for QPCR (Applied Biosystems)
Techniques Used: Variant Assay, Wilms Tumor Assay
Figure Legend Snippet: Microarray analyses of undifferentiated, unfractionated, and sorted fractions. (A) Heat maps of undifferentiated, unfractionated, and sorted fractions. Combined heat map of 3 biological replicates shows down-regulation of stem cell genes (yellow) and up-regulation of developmental genes (blue) across the undifferentiated (UD), unfractionated (UF), +Low, and ++− fractions. All 3 replicates show similar expression patterns of pluripotent and developmental genes confirming the reproducibility of the array results. (B) Gene ontology analyses performed on the top 1,000 up-regulated genes (B-stat > 0) in the ++− compared with the undifferentiated fraction show a slight increase in percentage of kidney and vascular development-associated genes in the ++− fraction relative to either spontaneously differentiated embryonic stem (ES) cells or cell populations derived from varying stem cell marker expression-based fractionation (red arrowheads). Ontology analysis also indicated a reduced proportion of genes involved in neural and skeletal muscle development in the ++− cell fraction (black arrowheads). (C) Cluster analyses. (a) Cluster analysis of the top 200 up-regulated genes in the ++− fraction compared with undifferentiated ES cells cross-matched with a genitourinary development-specific gene expression database (GUDMAP) shows an overrepresentation of transcripts associated with E11.5 murine metanephric interstitium (green box) and E15.5 nephrogenic and cortical interstitium (yellow box). (b) This overrepresentation was not observed when a randomly generated list of genes was subjected to the same cross-match. (c) Cluster analysis performed on all genes up-regulated only in ++− compared with undifferentiated, spontaneously differentiated, and ++Low fractions shows these genes are associated with the MM at E11.5 (green box), podocytes at E13.5 and E15.5 (yellow box), and the collecting duct and proximal tubules (purple box) when cross-matched with the GUDMAP database.
Techniques Used: Microarray, Expressing, Derivative Assay, Marker, Fractionation, Gene Expression, Generated
Figure Legend Snippet: Validation of microarray results by quantitative polymerase chain reaction (PCR). Results of the microarray were validated by quantitative PCR screen of genes involved in the development of each compartment of the mesoderm where expression levels were first normalized against 18S rRNA and calibrated using a CD30-expressing human embryonic stem (ES) cell line as an internal standard. The QPCR results demonstrated a slight up-regulation in transcript levels of all 3 intermediate mesoderm and 2 lateral mesoderm genes, CD34 and CDH5, in the ++− fraction compared with the other 3 fractions, indicating that cells expressing these transcripts are enriched from the unfractionated cell population by sorting based on CD24+/Podo+/GCTM2−. Conversely, an overall lower level of gene expression was observed for paraxial mesoderm genes, which also showed little variation in transcript abundance across the cellular fractions, indicating that the cells that express these genes are not selectively isolated by sorting with the above markers. Values are presented as means ± SEM, n = 3.
Techniques Used: Biomarker Discovery, Microarray, Real-time Polymerase Chain Reaction, Expressing, Gene Expression, Isolation
