Project description:Transcriptome analysis of pooled RNA samples from total WBC collection The RNA samples from six subjects were evenly pooled into one pooled one, followed by sample preparation and microarray experiment.
Project description:Samples for microarray analysis were derived from terminal ileum and colonic tissues from probands with Crohn´s disease and Ulcerative Colitis and control patients, respectively. IBD tissue biopsies from non-inflamed regions 10 cm distant from pathological areas were selected. To minimize inter-individual differences in gene expression and to enrich for IBD-specific transcriptional events, 2.5 µg of total RNA from terminal ileum and colon transversum from four individuals of each patient and control group were used for pooling. Keywords = IBD Keywords = Crohn´s disease Keywords = Ulcerative Colitis Keywords: other
Project description:Serum proteomes of healthy and Leishmania-infected dogs were analyzed by DDA-MS approach to generate sample-specific spectral library for subsequent SWATH-MS analysis, namely pooled, mixed control, mixed case (Leishmania-infected), ProteoMiner enriched, and 3 SCX fractions; all containing iRT peptides for retention time normalization.
Project description:We report transcriptomic profiling from bulk heart, kidney, and liver tissues for 58 strains of the inbred mouse Collaborative Cross (CC). Each strain is represented by a male/female pair. Reads were first aligned to the pooled transcriptomes of the eight founder strains of the CC and then total gene counts were quantified using the EMASE and GBRS software tools. Total read counts can be further normalized for use in differential gene expression analysis, expression quantitative trait locus (eQTL) analysis, and integrative analyses with other -omic data sets measured on the same samples, including proteomics and phosphoproteomics.
Project description:Samples for microarray analysis were derived from terminal ileum and colonic tissues from probands with Crohn´s disease and Ulcerative Colitis and control patients, respectively. IBD tissue biopsies from non-inflamed regions 10 cm distant from pathological areas were selected. To minimize inter-individual differences in gene expression and to enrich for IBD-specific transcriptional events, 2.5 µg of total RNA from terminal ileum and colon transversum from four individuals of each patient and control group were used for pooling. Gene expression profiles were determined using Affymetrix HG-U133B Gene Chips. Keywords: ordered
Project description:Samples for microarray analysis were derived from terminal ileum and colonic tissues from probands with Crohn´s disease and Ulcerative Colitis and control patients, respectively. IBD tissue biopsies from non-inflamed regions 10 cm distant from pathological areas were selected. To minimize inter-individual differences in gene expression and to enrich for IBD-specific transcriptional events, 2.5 µg of total RNA from terminal ileum and colon transversum from four individuals of each patient and control group were used for pooling. Gene expression profiles were determined using Affymetrix HG-U133A Gene Chips. Keywords: ordered
Project description:Control (n=27) and proliferative diabetic retinopathy (n=23) vitreous samples were treated as biologically distinct individuals or pooled together and aliquoted into technical replicates. Quantitative mass spectrometry with tandem mass tag labeling was used to identify proteins in individual or pooled control samples to determine technical and biological variability. To determine effect size and perform power analysis, control and proliferative diabetic retinopathy samples were analyzed across four 10plexes. Pooled samples were used to normalize the data across plexes and generate a single data matrix for downstream analysis.
Project description:Purpose: RNA-Seq uses next-generation sequencing to analyze expression across the transcriptome, enabling to detect known or novel features and quantify RNA. The goal of this study is to compare transcriptome profiles between control and GLUT1-HK2-PFKFB3 overexpressed mouse skeletal muscle. Methods: Total RNA was isolated from the gastrocnemius muscle of chow diet-fed M;G and control mice at the age of 3-month-old using RNAiso Plus (Takara Bio). Three independent pooled samples per group were analyzed. Sequencing libraries were generated using NEBNext® UltraTM RNA Library Prep Kit for Illumina® (NEB, USA) following manufacturer’s recommendations and index codes were added to attribute sequences to each sample. The clustering of the index-coded samples was performed on a cBot Cluster Generation System using TruSeq PE Cluster Kit v3-cBot-HS (Illumia) according to the manufacturer’s instructions. After cluster generation, the library preparations were sequenced on an Illumina Hiseq platform and 125 bp/150 bp paired-end reads were generated. Index of the reference genome was built using Hisat2 v2.0.5 and paired-end clean reads were aligned to the reference genome using Hisat2 v2.0.5. Fragments Per Kb of exon per Million mapped reads (FPKM) were calculated using featureCounts v1.5.0-p3. Results: We mapped about 6 million sequence reads per sample to the mouse genome and identified 54533 transcripts in the gastrocnemius muscle of control and GLUT1-HK2-PFKFB3-overexpressed mice. RNA-seq data confirmed stable expression of 10 known housekeeping genes, and 7 of these were validated with qRT–PCR. A total 664 transtripts were differentially expressed in wildtype and GLUT1-HK2-PFKFB3 overexpressed skeletal muscle with a cutoff of 2.0-fold and p < 0.05 from RNA sequencing analysis. Altered expression of 15 genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method.
Project description:Background and study aims
There are numerous lifestyle-altering diseases in the UK for which patients undergo multiple invasive tests before they can be properly diagnosed. These tests are often uncomfortable and inconvenient for patients, in addition to being very costly for the National Health Service (NHS). They typically involve a degree of risk to patients (e.g. bleeding and bowel rupture during endoscopy, or harmful radiation exposure from CT scanning). Many of these tests also tend to have normal results, since only a small fraction of patients are eventually diagnosed with the disease being sought. The aim of this study is to analyse symptoms, risk factors and genetic changes detected in saliva samples to predict patients’ risk of developing diseases.
Who can participate?
Patients aged over 18 who are already known to have oesophageal or colorectal disease including Crohn's disease, and patients who are awaiting tests to diagnose or exclude these diseases.
What does the study involve?
Participants complete a questionnaire to obtain information regarding their symptoms and risk factors for the disease. Saliva and blood samples are collected and, when appropriate, blood and tissue samples are taken during any investigations that they are already scheduled to undergo as part of their treatment process. No additional procedures or interventions are performed on these patients, and their clinical treatment is not affected in any way. Genetic analysis is performed on these samples to see if the characteristics of the patients’ saliva in combination with symptoms and other risk factors can accurately predict their disease. The saliva test results are compared with the blood and, where possible, tissue test results.