Project description:To identify possible deregulated pathways involved in COVID-19 severity, we analyzed the transcriptomic profiles of 59 patients affected by severe COVID-19 symptoms, comparing those who were only hospitalized and required supplemental oxygen support (N=24) with those who were also admitted to the ICU and received more intensive respiratory support, such as non-invasive ventilation or ventilator support (N=35, critically severe).
Project description:To uncover new molecular mechanisms involved in IgAN pathogenesis, we compared the genomic profiles of 12 IgAN patients with 8 healthy subjects, We included addiotional disease controls 3 FSGS(Focal Segmenal glomerulosclerosis) patients and 3 membrano proliferative glomerulonephritis type I (MPGN-I) controls in our study to evaluate if the WNT-β-catenin and PI3K/Akt pathways were specfic to IgAN. Gene expression profile comparison between 12IgAN patients and 8 Healthy Subjects. Gene Set Enrichment Analysis (GSEA) performed on the additional disease controls determined that the a priori defined set of genes and the pathways generated were specific to the IgAN
Project description:The goal of this study is to identify aging-related biomarkers to improve our understanding of complex physiological changes, thereby providing a means to investigate the mechanism by which aging influences various diseases. Global gene expression patterns from peripheral blood of two groups of healthy young adult women, among which 13 were aged 22-25 and 9 were aged 36-39 years old, were compared to determine changes in gene expression that are associated with aging.
Project description:In this work, we wanted to investigate the immunological impact of motor fluctuations in Parkinson's disease patients by analyzing blood transcriptomic signatures during motor state transitions.This within-subject design allowed us to isolate dynamic gene expression changes linked specifically to motor state that we could relate with immunological changes.
Project description:Clinical decision-making in patients with community-acquired pneumonia at risk of organ dysfunction and death is currently aided by clinical scores. Here, we compare transcriptomes of patients to identify a signature to better identifie patients-at-risk for ICU admission and death. For this, we analyse time-course transcriptomic data from samples of a prospective observational cohort study that included hospitalized CAP across 63 centers in Germany (‘PROGRESS’; clinicaltrials.gov NCT02782013). This case-control study consisted of discovery (n=240) and validation cohorts (n=215) where transcriptomic data were analyzed for association with a composite endpoint (cEP) of qualified ICU admission and 28-day mortality.
Project description:Transcriptional profiling of Arabidopsis in response to infection with TMV in the initial infection stage (0.5, 4 and 6 hours post inoculation). Analyze the relative transcriptome change of TMV*CP.MP- and TMV*rep-inoculated samples. TMV*rep vs. TMV*CP.MP transfected cells. 2 biological replicates conducted at each time (0.5, 4 and 6 hours post inoculation)
Project description:Blood (mRNA and miRNA) and skin mRNA transcriptomes were investigated across three time-points in a pilot investigation of ten severe psoriasis patients, treated with the tumor necrosis factor (TNF) inhibitor, etanercept. We used illumina RNA-sequencing to analyse the small-RNA transcriptome in blood
Project description:The aim of the study was to investigate if the use of a 12 weeks liraglutide treatment change the endometrial gene expression during the implantation window in infertile obese women with polycystic ovary syndrome (PCOS) undergoing in-vitro fertilization (IVF). This was a cross-sectional study involving treated and non-treated subjects. Endometrial biop-sies were collected from 20 infertile women with PCOS and BMI ≥30 kg/m2 before the IVF procedure. Endometrium transcriptome of 10 participants who had been pretreated with low-dose liraglutide 1.2 mg QD for 12 weeks and achieved at least a 5% reduction in body weight was compared to endometrium transcriptome of 10 treatment-naive participants who had a sta-ble body weight over the last 12 weeks. Next-generation sequencing was conducted to analyze RNA samples. The resulting data were processed to discern key canonical pathways and pre-dict activations or inhibitions. Gene networks were constructed based on established published associations.
Project description:The goal of this study is to identify aging-related biomarkers to improve our understanding of complex physiological changes, thereby providing a means to investigate the mechanism by which aging influences various diseases. Global microRNA expression patterns from peripheral blood of two groups of healthy young adult women, among which 13 were aged 22-25 and 9 were aged 36-39 years old, were compared to determine changes in microRNA expression that are associated with aging.