Peripheral blood mononuclear cells, control vs. Kashin-Beck Disease
ABSTRACT: Objective: To investigate the differences between the gene expression profiles in peripheral blood mononuclear cells (PBMC) from normal controls and patients with Kashin-Beck disease (KBD). Methods: Twenty KBD patients and 12 normal subjects were selected from a KBD-endemic area and divided into four pairs of KBD vs. control (KBD, n=5 per pair; control, n=3 per pair). RNAs were respectively isolated from KBD PBMCs and normal PBMCs. Gene expression profiles were analyzed by oligonucleotide microarray. Two-condition experiment, control vs. KBD PBM cells. Biological replicates: 4 control replicates, 4 KBD replicates.
Project description:Objective:To identify an accurate blood-based gene signature for early detection of Kashin-Beck disease (KBD). Methods: Gene expression analysis was conducted of peripheral blood samples from 100 patients with KBD and 100 controls randomly chosen from two KBD-endemic areas Two-condition experiment, Control vs. KBD PBM cells. Biological replicates: 100 control replicates, 100 KBD replicates.
Project description:We compared genome-wide gene expression profiles of articular cartilage derived from 4 KBD patients and 4 normal controls. Total RNA was isolated from cartilage samples following by being amplified, labeled and hybridized to Agilent human 1A 22k microarray chip(G4110B).
Project description:Kashin-Beck disease (KBD) is an endemic and chronic osteochondropathy with unknown etiology. The disease mostly occurs in children between the ages of 3 and 13 in a diagonal belt-like area ranging from Northeast to Southwest China. We carried out this microarray analysis to investigate the differences in gene expression levels between KBD patients and healthy controls. Total RNA was isolated from peripheral blood mononuclear cells (PBMCs).
Project description:We compared the circulating microRNA expression profiles of KBD, osteoarthritis (OA), rheumatoid arthritis (RA) and healthy controls. Blood specimens were collected from 3 KBD patients, 3 OA patients, 3 RA patients and 3 healthy controls. miRNAs expression profiling was performed using Exiqon miRCURY LNATM miRNAs Array.
Project description:We compared genome-wide gene expression profiles of articular cartilage derived from 4 Kashin-beck disease patients and 4 Primary osteoarthritis. Total RNA was isolated from cartilage samples following by being amplified, labeled and hybridized to Agilent Human 4×44k Whole Genome microarray (G4112F).
Project description:Transcriptional profiling of comparing wildtype strains with DR1790-deletion strains under normal growth contidions. Keywords: Genetic modification One-condition experiment, wild type strains vs. DR1790-deletion strains. Two biological replicates were carried out.
Project description:Canola plants inoculated with plant growth-promoting bacteria either expressing ACC deaminase or not to determine the effect on plant gene expression using an Arabidopsis microarray. 3 replicates for each ACD+ and ACD- bacteria, each compared with untreated control.
Project description:Ciz1 promotes initiation of mammalian DNA replication and is present within nuclear matrix associated DNA replication factories. Depletion of Ciz1 from normal and cancer cells restrains entry to S phase and inhibits cell proliferation. Several alternative splicing events with putative functional consequences have been identified and reported, but many more variants are predicted to exist based on publicly available mRNAs and expressed sequence tags. Here we report the development and validation of a custom exon and exon-junction microarray focused on the human Ciz1 gene, capable of reproducible detection of differential splice-variant expression. Using a pair of paediatric cancer cell lines and a pool of eight normal lines as reference, the array identified expected and novel Ciz1 splicing events. One novel variant (delta 8-12) that encodes a predicted protein lacking key functional sites, was validated by quantitative RT-PCR and found to be over-represented in a range of other cancer cell lines, and over half of a panel of primary lung tumours.
Project description:Genome-Scale draft model for Human Peripheral Blood Mononuclear Cells (PBMCs). A GEM for PBMCs was developed by applying the INIT
algorithm on Human Metabolic Reconstruction (HMR 2.0) as a template model. GEMs were contextualised/ constrained for different conditions using expression datasets. The gene/transcript expression data obtained from PBMCs of Type 1 Diabetes progressors, non-progressors, and healthy controls were employed to score each reaction of HMR 2.0. For further detail please refer to Electronic Supplementary Information of Sen et.al, Metabolic alterations in immune cells associate with progression to type 1 diabetes, Diabetologia, 15/01/2020, (https://doi.org/10.1007/s00125-020-05107-6).