Transcriptomic profiling of blood human eosinophils in eosinophilic asthmatic compared to healthy individuals
Ontology highlight
ABSTRACT: Eosinophils were FACS sorted from blood of 3 healthy and 3 eosinophilic asthmatic individuals. Total RNA was extracted using Direct-zol⢠RNA MiniPrep Kit followed by DNase1 digestion and purification on RNeasy MinElute® Spin Columns. Fragmented and biotin-labeled targets were prepared from 1,5ng of total RNA using Affymetrix GeneChip® WT Pico Kit. Fragmented and labeled targets were hybridized to Affymetrix GeneChip® Human Gene 2.0 ST Array following standard protocol.
Project description:We aimed to compare transcriptome in heart and livers of spontaneously hypertensive rat SHR/OlaIpcv (Rat Genome Database ID: 631848) versus coisogenic rat strain SHR-Gja8m1Cub (Rat Genome Database ID: 2293729) using Affymetrix GeneChip® Rat Exon 1.0 ST Arrays in triplicate. Affymetrix GeneChip® Rat Exon 1.0 ST Array was used to determine the transcriptomic characteristics of the SHR and the coisogenic strain SHR-Dca. We extracted total RNA from the kidneys and hearts of 4-month old males of both strains using phenol-chloroform and purified with the RNeasy Mini kit (Qiagen, Valencia, CA, USA) in accordance with the manufacturerâs protocol. The quality of the total RNA was verified by the Agilent 2100 Bioanalyzer system. Double-stranded complementary DNA (cDNA) was synthesized from total RNA. The labeled and fragmented cDNA was pooled for each strain (SHR, SHR-Dca) and tissue (heart, kidney) and hybridized to Affymetrix GeneChip® Rat Exon 1.0 ST Arrays in triplicate (total 12 arrays). The whole hybridization procedure including DNA adjustment was performed according to the protocol recommended by Affymetrix.
Project description:GeneChip® Mouse Gene 2.0 ST Array for C57BL/6 mouse skin dermal primary lymphatic endothelial cells (Ms LEC) and mouse lymphatic endothelial cell line SVEC4-10 GeneChip® Human Gene 2.0 ST Array for human primary lymphatic endothelial cells (Hu LEC) Total RNA from lymphatic cell line SVEC4-10 were used for GeneChip® Mouse Gene 2.0 ST Array. SVEC4-10 samples, human and mouse LEC samples.
Project description:Gastric cancer (GC) is one of the most common cancer worldwide. Specific and reliable molecular markers are limited; it is critical to identify new biomarkers for GC to aid in early diagnosis, treatment strategy, and prognosis evaluation. Microarray technology makes it possible to measure the expression levels of thousands of genes, and identifying meaningful and useful molecular targets from these large data. Total RNA was extracted from 10 pairs of GC tissue and adjacent non-tumor mucosa using TRIzol® reagent (Invitrogen, Carlsbad, CA, US) following the manufacturer's instructions. The RNA integrity number (RIN), detected by an Agilent Bioanalyzer 2100 (Agilent Technologies, Santa Clara, CA, US), was used to determine the RNA integrity. Total RNA meeting the specified quality criteria (RIN ⥠7.0 and 28S/18S ⥠0.7) were further purified using an RNase-Free DNase Set (Qiagen, Hilden, Germany) and an RNeasy® Micro Kit (Qiagen, Hilden, Germany) according to the manufacturer's instructions. Purified total RNA was then used for obtaining biotin-labeled cRNA by applying the GeneChip® 3'IVT Express Kit (Affymetrix, Santa Clara, CA, US), according to the manufacturer's instructions. Then, the GeneChip® Hybridization, Wash, and Stain Kit (Affymetrix, Santa Clara, CA, US) was used for performing the array hybridization and wash, with the use of a GeneChip® Hybridization Oven 645 (Affymetrix, Santa Clara, CA, US) and a GeneChip® Fluidics Station 450 (Affymetrix, Santa Clara, CA, US). All arrays were scanned using a GeneChip® Scanner 3000 (Affymetrix, Santa Clara, CA, US) and Command Console Software 3.1 (Affymetrix, Santa Clara, CA, US) with the default settings. Raw data were normalized by the MAS 5.0 algorithm in GeneSpring Software 11.0 (Agilent Technologies, Santa Clara, CA, US). The significance analysis of microarray (SAM) was used to identify genes that were differentially expressed between the GC and normal tissues. Genes were considered to be differentially expressed when the Tumor versus Normal signal log ratio values were â¥2 or â¤0.5.
Project description:Differential expression of regulatory genes of reference strain P. aeruginosa PA01, involved in the quorum sensing was analyzed using Microarray. Total RNA was isolated from reference strain P. aeruginosa PA01, grown with or without bacterial extracts (0.1 mg/ml) using TRI reagent. Total RNA was quantified, and 10 µg RNA was converted to cDNA, fragmented and labelled by following GeneChip® P. aeruginosa PA01 genome array user manual . Labelled cDNAs were hybridized with P. aeruginosa genome array gene chip , washed and stained. Hybridized chips were scanned, processed and analyzed using expression console and transcriptome analysis console.
Project description:gd T cells have an important yet incompletely defined role in inflammation associated with a variety of infectious and autoimmune conditions. To better understand the precise roles of gd T cells relative to ab T cells in a specific infection, we utilized Salmonella Enterica Serovar Typhimurium (S. typhimurium) infection in cattle as it is a leading cause of disease in cattle and closely approximates S. typhimurium-induced enterocolitis in humans. To best represent phenotype and gene expression changes occurring in the gut mucosa early in S. typhimurium infection, gd and ab T cells were collected directly from the mesenteric lymphatic ducts and analyzed by FACS or immediately sorted and processed for microarray analysis. Gene expression profiles were compared at intervals during infection within T cell subsets. The majority of gene expression changes in both subsets occurred 48 hours after infection. In response to S. typhimurium infection there was an increase in expression of several genes in gd T cells which were indicative of activation, proliferation and innate function, whereas in ab T cells gene expression changes suggested a lack of S. typhimurium-specific response. This work represents the first focus on gene expression trends in tissue-derived T lymphocytes in an in vivo model that is highly relevant to human S. typhimurium-induced enterocolitis. Experiment Overall Design: For one mock infection (calf 156) and two experimental S. typhimurium infections (calves 112 and 162), gd and ab lymphatic T cells were stained with GD3.8 directly conjugated to FITC, washed, and sorted on a Vantage SE cell sorter (BD Immunocytometry Systems) as previously described. Sorted gd and ab T cells were collected directly into TRIzol reagent (Invitrogen; calf 112) and lysed or suspended in Buffer RLT (Qiagen; calves 156 and 162) and lysed using Qiashredder columns, then frozen at -80oC. RNA was extracted following the manufacturerâs protocol for Trizol (Invitrogen) extraction, or RNeasy (Qiagen) column purification, assessed on a Bioanalyzer 2100 (Agilent Technologies), and amplified either using Affymetrix Two-cycle (calf 112) target labeling protocol with 100 ng total RNA or the One-cycle protocol (calves 156 and 162) with approximately 1.6 micrograms of total RNA as described in the GeneChip® Expression Analysis Technical Manual (June 2004). Hybridizations to Genechip® Bovine Genome Arrays (Affymetrix) were performed with 15 micrograms biotin labeled cRNA. Washing and staining was performed in the GeneChip® Fluidics Station 450 using the Midi_euk2v3 protocol. Chip scans were performed on the Affymetrix GeneChip® Scanner 3000. GeneChip® Operating Software (GCOS v.1.1, Affymetrix) was used for data collection. Experiment Overall Design: Table I represents annotated genes of potential interest that changed 2 fold or greater in expression between 0 and 48 hours post-Salmonella infection (calves 112 and 162) or mock-infection (calf 156) in T cell subsets.
Project description:The cause of mental retardation in one-third to one-half of all affected individuals is unknown. Microscopically-detectable chromosomal abnormalities are the most frequent recognized cause, but gain or loss of chromosomal segments that are too small to be seen by conventional cytogenetic analysis has been found to be another important cause. Array-based methods offer a practical means of performing a high-resolution survey of the entire genome for submicroscopic copy number variants. We studied 100 children with idiopathic mental retardation and their parents using the Affymetrix GeneChip® Mapping 100K Assay and found de novo duplications as small as 1.1 Mb in three cases, de novo deletions as small as 178 kb in eight cases, and unsuspected mosaic trisomy 9 in another case. This technology can detect at least twice as many potentially pathogenic de novo copy number variants as conventional cytogenetic analysis in people with mental retardation. Experiment Overall Design: Using the Affymetrix GeneChip® Mapping 100K Assay we studied 100 trios that each included one child with idiopathic mental retardation (MR) and both of his/her unaffected biological parents. We also tested 10 unaffected siblings of the MR children from 10 of the above families. In addition, we analyzed 7 trios (child and both unaffected biological parents) as positive controls with previously identified chromosomal aberrations. Experiment Overall Design: Within each sample ID the four digit number refers to a family. Following this four digit family number, 'c' indicates child with MR, 'm' means unaffected mother, 'f' means unaffected father and 's' means unaffected sibling.
Project description:The study sought to investigate differences in onset and progression of renal disease in the Dahl salt-sensitive (S), S.SHR(2) congenic, and spontaneously hypertensive rat (SHR) using a time-course. The data clearly demonstrates that the locus on chromosome 2 has a major and sustained ability to attenuate renal damage. As early as week 4, significant interstitial changes were observed between the S and the congenic which preceded any significant difference in proteinuria. Gene expression profiling was performed at week 4, 12, and 20 using kidney from the S and S.SHR(2) congenic to: (1) identify expression differences of positional candidates within the QTL region; (2) correlate temporal gene expression changes between the S and congenic with degree of renal damage; and (3) identify biochemical pathways potentially involved in the attenuated renal damaged observed in the congenic. Gene pathway analysis (Ingenuity® Systems) performed at week 4, 12, and 20 revealed that pathways involved in cellular assembly and organization, cellular movement, and immune response were controlled differently between the S and congenic. Considering all the data, the chromosome 2 congenic appears to attenuate renal damage primarily through an altered fibrotic response. Experiment Overall Design: DNA microarray analysis was performed using Affymetrix Genechip® Rat Genome 230 2.0 array at three timepoints. The chip contains 31,000 probe sets from more than 30,000 transcripts on one array. Three male S and three male S.SHR(2) congenic were selected at random from each group test for proteinruia at week 4, 12 and 20. Kidney was cut into ~ 0.5cM size cubes, suspended in RNAlater (Ambion, Austin, TX) and stored overnight at 4ºC. RNA was extracted using Trizol® reagent (Invitrogen, Carlsbad, CA) and purified using Mini RNeasy kit (Qiagen,Valencia, CA ) according to manufacturerâs protocols. RNA quality was assessed by an OD260/280 ratio > 2.0 and visually by ethidium bromide staining on an agarose gel. Experiment Overall Design: Biotinylated cRNA was synthesized from 10 ug of total RNA using the One-Cycle Target Labeling Kit (Affymetrix, Santa Clara, CA) as directed by the user manual. cRNA quality for each sample was assessed by hybridization of 5ug adjusted kidney cRNA to Affymetrix Genechip® Test3 array. Subsequently, 15ug adjusted kidney cRNA was hybridized to the Genechip® Rat 230 2.0 array. Hybridized chips were automatically washed, stained and scanned at the Medical University of Ohio Bioinformatics & Proteomics/Genomics Program gene array facility using Affymetrix equipment.
Project description:A high percentage of potential oncology drugs fail in clinical trials, partly because preclinical models used to test them are inadequate. Breast cancer is the leading cause of cancer-related death among women worldwide but we lack appropriate in vivo models for the ER+ subtypes, which represent more than 75% of all cases. We address these issues by xenografting tumor cells to their site of origin, the milk ducts. All ER+ cell lines and patient-derived xenografts grow mimicking their clinical counterparts. Disease progresses with invasion and metastasis, which become amenable to study. The action of hormones, important in breast carcinogenesis, can now be studied in a relevant context. Importantly, these open opportunities for development and evaluation of therapies. Eight- to twelve-week-old female SCID Beige mice (Charles River) were injected with 5x10e5 BT20-GFP/luc2 cells (n=3) or 5x10e5 HCC1806-GFP/luc2 cells (n=3) either into the mammary fat pad or 2x10e5 BT20-GFP/luc2 cells (n=3) or 2x10e5 HCC1806-GFP/luc2 cells intraductally (n=3). Xenografted BT20 and HCC1806 basal breast cancer cells were sorted by FACS based on GFP expression; total RNA was extracted using Trizol Reagent (Invitrogen), purified with the miRNeasy Mini Kit (Qiagen), quantity and quality were assessed by NanoDrop®ND-1000 spectrophotometer and RNA 6000 NanoChips with the Agilent 2100 Bioanalyzer (Agilent, Palo Alto, USA). Only samples with RIN score >7.0 were included. For each sample, 300 ng of total RNA were amplified using the message amp II enhanced kit (AM1791, Ambion). 12.5 μg of biotin-labelled cRNA were chemically fragmented. Affymetrix GeneChip Human Genome U133A 2.0 Arrays (Affymetrix, Santa Clara, CA, USA) were hybridized with 11μg of fragmented target, at 45°C for 17 hours, washed and stained according to Affymetrix GeneChip® Expression Analysis Manual (Fluidics protocol FS450_0007). Arrays were scanned using the GeneChip® Scanner 3000 7G (Affymetrix) and raw data was extracted from the scanned images and analyzed with the Affymetrix Power Tools software package (Affymetrix). All statistical analyses were performed using R and Bioconductor packages (http://www.Bioconductor.org). Hybridization quality was assessed using the Expression Console software (Affymetrix). Normalized expression signals were calculated from Affymetrix CEL files using RMA. Differential hybridized features were identified using Bioconductor package â??limmaâ?? that implements linear models for microarray data (Smyth, 2004). P values were adjusted for multiple testing with Benjamini and Hochbergâ??s method to control false discovery rate (FDR) (Benjamini et al., 2001). Probe sets showing â?¥2-fold change and a FDR â?¤0.05 were considered significant.
Project description:We analyzed gene expression profiles of human testicular biopsies in men with idiopathic nonobstructive azoospermia who underwent therapy with hCG/rFSH. Using new generation oligonucleotide microarray platform GeneChip® Human Gene 1.0 ST, we identified genes which could be potential prognostic biomarkers of azoospermia treatment. We analyzed 6 testicular biopsy samples with Affymetrix Human Gene 1.0 ST microarrays. 3 of them were obtained from patients with NOA, who positively responded to hormonal therapy and 3 non-respoders.
Project description:NIH 3T3 cells were challenged with tunicamycin for 2, 5 or 10h. MICRO-RNAs that are upregulated or down regulated were identified by micro-ARRAY. NIH 3T3 cell were challenged with 2ug/ml tunicamycin for 2, 5 or 10 hrs. Total RNA was purified using miRNeasy Mini Kit (QIAGEN). Microarray was carried out using GeneChip® miRNA Arrays (Affymetrix, CA) and results were analyzed using GENESPRING software. ANOVA and T-tests were used to calculate fold change and p-values. Spotfire (Somerville, MA) software was used to generate heat maps.