Gene profiling in mucosal biopsies of Eosinophilic Esophagitis patients pre and post glucocorticoid steroid treatment
ABSTRACT: Eosinophlic esophagitis (EoE) is increasely recognized as an antigen-drived disorder. The goal of this study is to reveal the gene expression changes in EoE before and after a successful glucocorticoid steroid treatment. We used microarrays to identify distinct genes involving the pathophysiology of EoE. Esophageal mRNA from the epithelial layers of 5 paired paraffin-embedded biopsies before and after treatment with glucocorticosteroids were harvested and profiled using Affymetrix Human Gene 1.0 ST array to generate differentially regulated mRNA transcripts.
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.
Project description:Transcriptional profiling of microscopically laser dissected Paneth cells and whole thickness ileum tissue from the proximal margins of archived formalin-fixed, paraffin-embedded ileo-colic resection samples.
Project description:One and four month formalin-fixed paraffin embedded biopsies from 48 kidney transplant recipients (24 AKI donors, 24 non-AKI) underwent global gene expression profiling using DNA microarrays (96 arrays). At one month, there were 898 differentially expressed genes in the AKI group (p-value <0.005; FDR <10%), but by 4-months there were no longer any differences. One and four month formalin-fixed paraffin embedded (FFPE) biopsies from 48 kidney transplant recipients (24 AKI donors, 24 controls; 96 total samples) were profiled using Affymetrix U133PM Plus PM plate arrays on a GeneTitan MC instrument. All samples were selected from the SCD cohort only. AKI donor and controls samples were matched by date of transplantation. Total RNA was extracted from four 20-micron sections using Ambion RecoverAll Total Nucleic Acid Kit and processed for chip hybridization using the new Affymetrix SensationPlus™ FFPE Amplification and 3’ IVT Labeling kit according to the manufacturer’s protocol. Quantile data normalization by RMA and analysis was performed using Partek Genomics Suite for PDR-corrected differential gene expression by ANOVA. Pathway mapping was performed using Ingenuity Pathway Analysis (IPA).
Project description:We investigated the transcriptome of dentate gyrus (DG) granule cells in postmortem hippocampus from 79 subjects with mental illness (schizophrenia, bipolar disorder, major depression) or non-psychiatric controls. Material for RNA-seq analysis was harvested from tissue slides using laser capture microdissection (LCM) and aRNA amplification. Equimolar amounts of triplicate aRNA samples for each of the 79 subjects were then pooled for the preparation of sequencing libraries. Sequencing libraries were prepared using Applied Biosystem's Total RNA Sequencing Kit, following the directions for Whole Transcriptome Libraries, and analyzed with an Applied Biosystems SOLiD 4 high-throughput sequencer. We compared the performance of different normalization methods (length normalization vs. noise reductin scaling), and assembled evidence for dysruption of signaling by the micro RNA miR-182 in subjects with major depression and schizophrenia.
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.
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.
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 (≥7) and low (≤6) Gleason scores. Pharmacological demethylation of PC-3 cells reactivated 38 genes (≥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-2’Deoxycytidine). 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 ≥7), low grade prostate cancer (Gleason score ≤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). TaqMan® reactions were performed in duplicate on a 7900HT Sequence Detection System. RQ data from TLDAs were analyzed using Real Time StatMiner® v3.1 (Integromics, Granada, Spain).
Project description:MicroRNA expression profiling in matched lesional skin samples from 25 patients with psoriasis using the miRNA analysis platform miRCURY LNATM MicroRNA array (v. 11.0) (Exiqon). Aim: To explore the effect of three different preservation methods (Formalin-fixation paraffin-embedding (FFPE), frozen (FS) and OCT-embedding (OCT)) on miRNA expression levels in matched lesional skin samples from 25 patients with psoriasis. Three-condition experiment, FS vs. FFPE, OCT vs. FFPE and FS vs. OCT. Biological replicates: 25 matched samples from patients with psoriasis. One replicate per array.
Project description:Transforming Growth Factor Beta-induced (TGFBI)-related dystrophies constitute the most common heritable forms of corneal dystrophy worldwide. However, other than the underlying genotypes of these conditions, a limited knowledge exists of the exact pathomechanisms of these disorders. This study expands on our previous research investigating dystrophic stromal aggregates, with the aim of better elucidating the pathomechanism of 2 conditions arising from the most common TGFBI mutations: granular corneal dystrophy (GCD1; R555W), and lattice corneal dystrophy (LCD1; R124C). GCD1 and LCD1 patient corneas were stained with H&E and Congo red to visualise stromal non-amyloid and amyloid deposits, respectively. Laser capture microdissection was used to isolate aggregates and extracted protein was analyzed by mass spectrometry. Proteins were identified and their approximate abundances were determined. Spectra of TGFBIp peptides were also recorded and quantified. In total, 3 proteins were found within GCD1 aggregates that were absent in the healthy control corneal tissue. In comparison an additional 18 and 24 proteins within stromal LCD1 and Bowman’s LCD1 deposits, respectively, were identified. Variances surrounding the endogenous cleavage sites of TGFBIp were also noted. An increase in the number of residues experiencing cleavage was observed in both GCD1 aggregates and LCD1 deposits. The study reveals previously unknown differences 1 between the protein composition of GCD1 and LCD1 aggregates, and confirms the presence of the HtrA1 protease in LCD1-amyloid aggregates. In addition, we find mutation specific differences in the processingof mutant TGFBIp species, which may contribute to the variable phenotypes noted in TGFBI-related dystrophies.