Project description:This SuperSeries is composed of the following subset Series: GSE17393: Transcription signature of Multiple Sclerosis in peripheral blood mononuclear cells. GSE17409: Pregnancy changes expression in peripheral blood mononuclear cells of healthy donors GSE17410: Pregnancy changes expression in peripheral blood mononuclear cells of Multiple Sclerosis (MS) patients Refer to individual Series
Project description:Background: pregnancy is associated with reduced activity of multiple sclerosis (MS). However, the biological mechanisms underlying this pregnancy-related decrease in disease activity are poorly understood. This data series contains the subset of data used to generate a healthy donors signature comparing female healthy specimens before pregnancy with respect to female healthy specimens at ninth month pregnancy. Subjects were followed in the outpatients clinic and blood was collected before pregnancy and at the following time points during pregnancy: first trimester (gestational age at sampling 12 weeks), second trimester (24 weeks), and third trimester (36 weeks). Before-pregnancy samples were obtained in a treatment-free period and after anticonceptional drug withdrawal. Peripheral blood mononuclear cells (PBMCs) obtained from 11 women (7 healthy donors before pregnancy and 4 healthy donors at 9th month pregnancy) were analyzed by oligonucleotide microarray technology.
Project description:Transcriptional profiling of peripheral blood mononuclear cells from healthy donors and leukemic CTCL patients upon recombinant SEB treament.
Project description:This study aimed to analyze and compare the test transcripts of peripheral blood mononuclear cells (PBMCs) isolated from 4 healthy donors and 4 septic patients' whole blood.
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).
Project description:Ankylosing spondylitis (AS) is an inflammatory arthritis of the axial skeleton that predominantly affects young men. HLA-B27 has remained the major genetic risk factor in AS. Recently, more non-MHC genes has been discoverd to be involved in AS pathogenesis, especially IL-23 signalling pathway related genes. We performed a proteomic study of the peripheral blood mononuclear cells from AS patients and healthy donors.
