Ontology highlight
ABSTRACT:
PROVIDER: PRJNA247763 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:By coupling PDX and cell surface marker screening technologies, we have identified distinct tumor cell sub-populations that are associated with tumor resistance to chemotherapy. In the majority of relapsed tumors, the percentage of the marker-positive cells shifted back to pretreatment levels. SSEA4 is one of the cell surface molecules tested that could distinguish enriched residual tumor cells in all the different TNBC PDX models analyzed. The expression of SSEA4 is associated with tumor resistance to chemotherapy and SSEA4+ cells show increased gene expression of genes involved in response to toxins, cellular import/export, cell migration and EMT.
2015-11-19 | GSE57704 | GEO
Project description:SSEA4 is a marker for chemotherapy resistance [mRNA]
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Project description:SSEA4 is a marker for chemotherapy resistance [miRNA]
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Project description:By coupling PDX and cell surface marker screening technologies, we have identified distinct tumor cell sub-populations that are associated with tumor resistance to chemotherapy. In the majority of relapsed tumors, the percentage of the marker-positive cells shifted back to pretreatment levels. SSEA4 is one of the cell surface molecules tested that could distinguish enriched residual tumor cells in all the different TNBC PDX models analyzed. The expression of SSEA4 is associated with tumor resistance to chemotherapy and SSEA4+ cells show increased gene expression of genes involved in response to toxins, cellular import/export, cell migration and EMT. The dataset comprises four different sample groups including SSEA4- and SSEA4+ cell fractions isolated from mouse xenografts of human breast cancer cells. Two technical replicates were generated for each cell fraction. Microarray analysis was performed on the Agilent Whole Human Genome Oligo Microarray 8x60K (v2) platform.
2015-11-19 | E-GEOD-57704 | biostudies-arrayexpress
Project description:By coupling PDX and cell surface marker screening technologies, we have identified distinct tumor cell sub-populations that are associated with tumor resistance to chemotherapy. In the majority of relapsed tumors, the percentage of the marker-positive cells shifted back to pretreatment levels. SSEA4 is one of the cell surface molecules tested that could distinguish enriched residual tumor cells in all the different TNBC PDX models analyzed. The expression of SSEA4 is associated with tumor resistance to chemotherapy and SSEA4+ cells show increased gene expression of genes involved in response to toxins, cellular import/export, cell migration and EMT. The dataset comprises four different sample groups including SSEA4- and SSEA4+ cell fractions isolated from mouse xenografts of human breast cancer cells. Two technical replicates were generated for each cell fraction. Microarray analysis was performed on the Agilent Whole Human Genome Oligo Microarray 8x60K (v2) platform.
2015-11-19 | E-GEOD-57703 | biostudies-arrayexpress
Project description:By coupling PDX and cell surface marker screening technologies, we have identified distinct tumor cell sub-populations that are associated with tumor resistance to chemotherapy. In the majority of relapsed tumors, the percentage of the marker-positive cells shifted back to pretreatment levels. SSEA4 is one of the cell surface molecules tested that could distinguish enriched residual tumor cells in all the different TNBC PDX models analyzed. The expression of SSEA4 is associated with tumor resistance to chemotherapy and SSEA4+ cells show increased gene expression of genes involved in response to toxins, cellular import/export, cell migration and EMT.
2015-11-19 | GSE57703 | GEO
Project description:Human ES cell line I-6 was cultured in standard conditions to maintain an undifferentiated, self renewing phenotype. The cells were sorted based upon their expression of SSEA4, which is a marker of the undifferentiated, self renewing phenotype Keywords: other
2005-12-09 | GSE3794 | GEO
Project description:Human ES cell line I-6 was cultured in standard conditions to maintain an undifferentiated, self renewing phenotype. The cells were sorted based upon their expression of SSEA4, which is a marker of the undifferentiated, self renewing phenotype Experiment Overall Design: this experiment include 2 samples and 12 replicates
2008-06-12 | E-GEOD-3794 | biostudies-arrayexpress
Project description:The use of pluripotent stem cells in regenerative medicine and disease modeling is complicated by the variation in differentiation properties between lines. In this study, we characterized 13 human embryonic stem cell. (hESC) and 26 human induced pluripotent stem cell (hiPSC) lines to identify markers that predict neural differentiation behavior. At a general level, markers previously known to distinguish mouse ESCs from epiblast stem cells (EpiSCs) correlated with neural differentiation behavior. More specifically, quantitative analysis of miR-371-3 expression prospectively identified hESC and hiPSC lines with differential neurogenic differentiation propensity and in vivo dopamine neuron engraftment potential. Transient KLF4 transduction increased miR-371-3 expression and altered neurogenic behavior and pluripotency marker expression. Conversely, suppression of miR- 371-3 expression in KLF4-transduced cells rescued neural differentiation propensity. miR-371-3 expression level therefore appears to have both a predictive and a functional role in determining human pluripotent stem cell neurogenic differentiation behavior. [mRNA profiling (Illumina)]: Four human ESC lines (H9, I4, I6, HUES6) at undifferentiation stages were purified with stem cell surface marker SSEA4 and subjected to RNA extraction and hybridization on Illumina microarrays. Each sample has 3 biological repeats, one of which has two technical repeats. [miRNA profiling (Agilent)]: Four human ESC lines (H9, I4, I6, HUES6) at undifferentiation stages were purified with stem cell surface marker SSEA4 and subjected to RNA extraction and hybridization on Agilent microarrays. Each sample has 3 biological repeats, one of which has two technical repeats.
2011-06-01 | E-GEOD-27834 | biostudies-arrayexpress
Project description:Chemotherapy resistance adversely impacts the treatment of some individuals with esophageal cancer. Identifying chemotherapy resistance might help tailor clinical treatments. In this study the impact of microRNAs on chemotherapy resistance in esophageal cancer was investigated. We used microarrays to detail the global programme of microRNA expression underlying chemotherapy resistance and identified distinct classes of up-regulated microRNAs in generated chemotherapy resistant cell lines.
2013-08-28 | GSE50224 | GEO