Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA247770 | ENA |
REPOSITORIES: ENA
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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.
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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:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.
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Project description:RNA extracted at 240min. Samples are rRNA depleted. Expression measurement of Homo sapiens genes.
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Project description: Not available
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