Project description:Gene expressions were measured in 8 normal breast duct samples and 8 normal breast lobule samples from premenopausal patients using Agilent-028004 SurePrint G3 Human GE 8x60K Microarray. A total of 426 transcripts were identified as being significantly differentially expressed. Supervised hierarchical clustering based on the 426 differentially expressed genes showed distinct clustering of the duct and lobule samples.The significant enrichment analysis of GO terms for the differentially expressed genes using the R language package software demonstrated that these 426 differentially expressed genes were involved in many important biological processes, including negative regulation of low-density lipoprotein receptor biosynthetic process, response to steroid hormone stimulus and oxidation reduction. 17 differential expressed genes identified by microarray were randomly chosen for further validation using quantitative RT-PCR. As results, fold changes measured by quantitative RT-PCR were closely correlated with those measured by microarray. 8 normal breast duct samples vs 8 normal breast lobule samples from premenopausal patients, unpaired
Project description:Gene expressions were measured in 8 normal breast duct samples and 8 normal breast lobule samples from premenopausal patients using Agilent-028004 SurePrint G3 Human GE 8x60K Microarray. A total of 426 transcripts were identified as being significantly differentially expressed. Supervised hierarchical clustering based on the 426 differentially expressed genes showed distinct clustering of the duct and lobule samples.The significant enrichment analysis of GO terms for the differentially expressed genes using the R language package software demonstrated that these 426 differentially expressed genes were involved in many important biological processes, including negative regulation of low-density lipoprotein receptor biosynthetic process, response to steroid hormone stimulus and oxidation reduction. 17 differential expressed genes identified by microarray were randomly chosen for further validation using quantitative RT-PCR. As results, fold changes measured by quantitative RT-PCR were closely correlated with those measured by microarray.
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs. One-condition experment, gene expression of 3A6
Project description:Transcriptional profiling of human mesenchymal stem cells comparing normoxic MSCs cells with hypoxic MSCs cells. Hypoxia may inhibit senescence of MSCs during expansion. Goal was to determine the effects of hypoxia on global MSCs gene expression. Two-condition experiment, Normoxic MSCs vs. Hypoxic MSCs.
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.
Project description:Gene methylation profiling of immortalized human mesenchymal stem cells comparing HPV E6/E7-transfected MSCs cells with human telomerase reverse transcriptase (hTERT)- and HPV E6/E7-transfected MSCs. hTERT may increase gene methylation in MSCs. Goal was to determine the effects of different transfected genes on global gene methylation in MSCs. Two-condition experiment, KP MSCs vs. 3A6 MSCs.