Gene profiling in mucosal biopsies of Eosinophilic Esophagitis patients pre and post glucocorticoid steroid treatment
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ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Shaolei Lu
PROVIDER: E-GEOD-36725 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Eosinophlic esophagitis (EoE) is increasely recognized as an antigen-drived disorder. The goal of this study is to reveal the miRNA expression changes in EoE before and after a successful glucocorticoid steroid treatment. Total RNA was extracted from the esophageal epithelial layers of 5 paired paraffin-embedded biopsies before and after treatment with glucocorticosteroids using RecoverAll Total Nucleic Acid Extraction Kit for FFPE tissues (Ambion, Austin, TX). Five nanograms of total RNA was reverse-transcribed using the Taqman MicroRNA Reverse Transcription Kit and the Megaplex RT primer Human Pool A (Applied Biosystems). The reverse-transcribed cDNA was then pre-amplified in 12 cycles of PCR using Taqman PreAmp Master Mix and the Megaplex PreAmp primers, Human Pool A (Applied Biosystems). The cDNA’s were then diluted and loaded on to a Taqman Human miRNA Array card A (Platform GPL9731 ; Applied Biosystems), which contains probes for 377 distinct miRNAs. The Array cards were run on an ABI HT7900 qPCR instrument. Ct values were obtained for all miRNAs represented on the cards and fold changes in expression were calculated using the delta delta Ct (ddCt) method.
2012-03-23 | E-GEOD-36726 | biostudies-arrayexpress
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2014-04-09 | E-GEOD-42546 | biostudies-arrayexpress
Project description:Coeliac disease is a small intestinal disorder caused by an abarrent immune response towards dietary gluten due to activation of pro-inflammatory gluten specific CD4+ T cells. Histological evaluation and classification of gluten induced musosal changes is part of the diagnostic work up. of adults. The kinetics of mucosal recovery following commencesment of a gluten free diet (disease remission) and the degree of mucosal changes induced by gluten reintroduction (gluten challenge) varies between patients. Also, patients classified with similar clinical and histological disease remission, can develop different degree of mucosal damage following the same gluten challenge regime. This variation poses a challenge for the interpretation of gluten induced mucosal changes both in a diagnostic and clinical trial settings. In this study, we have analysed material from small intestinal biopsies collected from 19 treated coeliac disease patients before and after completion of a 14-day oral gluten challenge. These patients are part of a previoslpreviouslyu described study where all patients were in clinical and mucosal remission at baseline but only some patients developed histological changes in the mucosa in response to gluten. We have performed shotgun LC-MSMS analysis and label-free quantification of total gut tissue and from laser capture microdissected epithelial cell layer samples. We found that differences in tissue proteome expression could separate patients as responders and non-responders to the gluten challenge. Patients whoich responded strongly to gluten , had signs of gut inflammation already at baseline, supported by presence of low-level blood inflammatory parameters and a slight increase in numbers of gluten-specific CD4+ T cells at baseline. Our proteomics analysis demonstrated baseline differences in gut tissue state between patients that were not evident from routine clinical and histological evaluation. These baseline differences likely explains why some patients respond more strongly to gluten challenge than others.
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Project description:miRNA expression from breast tumor tissue obtained from two groups of breast cancer (BC) patients: one group formed by women younger than 36 years and the other group by women older than 65 years. We selected breast tumor tissue samples from 21 women under 36 years old and 12 women above 65 years old, without BRCA mutation and without metastases. We selected a pool of samples in which all the subtypes were representated, in young patients as well as in older patients, to avoid expression biass. We add three samples from breast tissue of cancer-free women to minimize the age-related expression biass. Our aim was to compare miRNA expression between young women and older women, considering normal tissue as a reference.
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2015-05-22 | E-GEOD-61739 | biostudies-arrayexpress
Project description:A data set of normal epithelium, serous ovarian surface epithelial-stromal tumors (benign and type II malignancies), stroma distal to tumor, and stroma adjacent to tumor (50 samples total). Additional cel files are included which represent replicate sampling from patients, and cel files that failed quality control but may be bioinformatically interesting. Additional replicate or failed cel files were not included in the final analysis (and so these samples were not included in the matrix). Background: Ovarian cancer is the most lethal gynecologic cancer in the United States. If caught in early stages, patient survival rate can reach 94%, when diagnosed at late stages survival rates drop to 28%. Correct diagnosis depends on the presence of definite symptoms: while ~90% of diagnosed ovarian cancers have symptoms, they tend to be unfocused and subacute. A definitive and early molecular signature of disease is thus desired. To further progress towards this goal, we present an Affymetrix™ human exon array data set measuring ovarian tumor expression, assembled using best practices. Method: Samples were collected from patients with benign and malignant (type II) serous ovarian surface epithelial-stromal tumors. Normal epithelium, tumor, stroma adjacent to tumor, and distal stroma were selected based on histopathology, and isolated using laser capture microdissection. Nugen products were used to perform random-primed mRNA amplification procedures (for full transcript capture) before hybridization to Affymetrix exon chips. Tumor expression and paracrine signaling was assessed using GC-RMA and a two-way Model I ANOVA. Single enrichment ontological analysis and gene network construction were performed to guide inferences about biological context. Results: In total, across 50 microarrays, ~270 million measurements were obtained. Based on comparisons to known ovarian cancer properties as established in molecular genetics literature, the initial analysis presented emphasizes data quality. Major trends between sample classes included: apical surface and tight junction activity, mitotic activity, benign tumor suppression, epithelial-mesenchymal transitioning, tumor oncogene activity, and paracrine signaling. A list of differentially expressed transcripts has been produced to enable rapid comparisons with published biomarker lists, but it is expected that detailed alternative transcript analysis will refine these predictions. Conclusions: A data set of 50 arrays, from carefully dissected serous ovarian surface epithelial-stromal tumors, has been produced, from which high quality measurements were obtained. While relatively small in number, this represents an important addition to the community pool of ovarian tumor samples, and the chosen platform enables bridging between 3' expression and exome sequencing data sets. This represents a significant contribution to the ovarian cancer genetics community. A total of 50 human ovary samples were used in analysis: 23 tissue samples laser capture microdissected from an ovary with a benign serous tumor (specifically 4 normal epithelium samples, 5 tumor samples, 6 stroma samples adjacent to the tumor, and 8 stroma samples distal of the tumor), and 27 tissue samples laser capture microdissected from an ovary with a malignant serous tumor (specifically 5 normal epithelium samples, 8 tumor samples, 7 stroma samples adjacent to the tumor, and 7 stroma samples distal of the tumor). Additional cel files were provided which, although were used in the quality control of the data set, were not used in the final experimental analysis. 8 replicates are included as cel files (1 from each cohort previously listed). 14 cel files were also included which failed quality control. Although the replicate and failed cel files were not used in the final analysis, they may still be interesting in other research.
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Project description:A comprehensive expression analysis of Wnt signaling genes was performed in a panel of prostate cancer cell lines and tissue specimens using TaqMan low density arrays. The effect of DNA methylation on gene expression was investigated using DNMT inhibitor 5-Aza-CdR. Tissue specimens from a range of disease states were used to represent the stepwise progression of prostate cancer, including benign prostatic hyperplasia (BPH), histologically benign epithelium adjacent to tumor (HB), pre-invasive high-grade prostatic intraepithelial neoplasia (HGPIN) and primary localized tumors categorized into low- and high-grade disease. Fifteen Wnt signaling related genes were idenified with significantly altered expression in prostate cancer; the majority of which were upregulated in tumors. Notably, histologically benign tissue from men with prostate cancer appeared more similar to tumour (r=0.76) than to BPH (r=0.57) (P<0.001). Overall, the expression profile was highly similar between tumors of high (M-bM-^IM-%7) and low (M-bM-^IM-$6) Gleason scores. Pharmacological demethylation of PC-3 cells reactivated 38 genes (M-bM-^IM-%2-fold); 40% of which inhibit Wnt signaling. qPCR gene expression profiling using TLDA Human Wnt Gene set v1.0 microfluidic card (Applied Biosystems, Foster City, CA).The TLDA consisted of 4 identical 96-gene sets preconfigured in a 384-well format. Three different malignant cell lines were profiled LNCaP, 22Rv1 and PC3 (+/- 5-Aza-2M-bM-^@M-^YDeoxycytidine). One benign cell line was included for comparative puposes: PWR1E. Patient samples were obtained from FFPE tissue sections from men who underwent radical prostatectomy or transrectal resection of the prostate. To overcome the limited amount of RNA obtained from FFPE tissues, RNA samples were pooled. Five different pools were generated: high grade prostate cancer (Gleason score M-bM-^IM-%7), low grade prostate cancer (Gleason score M-bM-^IM-$6), HGPIN, HB and BPH. Each pool consisted of DNase-treated total RNA (100ng), isolated from microdissected tissue from 4 individual cases, selected on the basis of similar histological and clinical features and previous epigenetic characterization in our laboratory. Two Biological replicates for each pool were prepared. The high capacity cDNA Archive Kit (Applied Biosystems) was used to reverse transcribe pooled RNA (400ng). TaqManM-BM-. reactions were performed in duplicate on a 7900HT Sequence Detection System. RQ data from TLDAs were analyzed using Real Time StatMinerM-BM-. v3.1 (Integromics, Granada, Spain).
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