Project description:In this study, we used RNA-seq to identify differences in gene expression patterns in ovarian follicles of female Japanese quail (Coturnix coturnix japonica) that produce large versus small eggs relative to their body size. A high quality reference genome is currently under construction by the Quail Genome Consortium (BioProject ID: PRJNA292031).
Project description:Since Japanese quail and chicken belong to the same order Galliforms, DNA sequence of both species are highly conserved and proved to be applicable for various analyses each other. Quail are commonly used to address physiological questions for reasons of economy. To test whether chicken microarrays are useful to quail samples, we compared hybridization signals of chicken and quail genomic DNA on Affymetrix chicken genome array. Keywords: comparative genomic hybridization
Project description:Previous Genome-wide association studies (GWASs) have identified susceptibility loci of primary angle closure glaucoma (PACG), but applicating these findings is difficult. Although shallow anterior chamber depth (ACD) and short axial length (AL) are characteristic phenotypes of PACG, current GWAS variants do not show any correlation with these features, calling for the identification of more risk factors . Here, thicker and enlarged iris was identified as a significant independent risk factors. By employing allelic-specific STARR-seq and assay for transposase-accessible chromatin using sequencing (ATAC-seq), we screened disease-related variants in linkage disequilibrium and identified 2 causative variants in iris. Alterations in these variants may contribute to the pathogenic iris phenotype by upregulating the expression of PLEKHA7 and C10orf53, potentially regulating PACG development and progression. Our efforts nominate the important role of iris and identify pathogenic SNP-target gene interactions for PACG, providing a potentially powerful approach for interpreting noncoding variation of diseases.
Project description:We conducted a culture experiment by deeply submerging plants in swine wastewater in culturing Iris tectorum and co-culturing Iris tectorum and Dictyosphaerium sp., and found that the plants grew sub-normal in the plant-microalgae co-culture while the plants were dead after 21 days in the plant culture. We generated a comprehensive RNA-seq dataset from the submerged Iris tectorum leaves in both the plant culture and the plant-microalgae co-culture, aiming at providing information on the response mechanisms of the plants to waterlogging stress. Besides raw reads of the RNA-seq dataset, we used DEseq2 algorithms to detect the differently expressed genes in the plants between the different cultures. Additionally, we performed the plant disease resistance gene analysis for all the differentially expressed genes.
Project description:Tuberculosis Immune Reconstitution Inflammatory Syndrome (TB-IRIS) frequently complicates combined anti-retroviral therapy (ART) and anti-tubercular therapy in HIV-1 co-infected tuberculosis (TB) patients. The immunopathological mechanism underlying TB-IRIS is incompletely defined. Differential transcript abundance in PBMC from IRIS and control patients stimulated with heat killed H37Rv was determined by microarray Blood samples were collected during longitudinal observational studies of TB-IRIS patients and controls (both groups HIV-infected patients placed on antiretroviral treatment). PBMC were stimulated with heat killed H37Rv and RNA extracted.
Project description:Patients with HIV-associated TB are known to experience systemic hyperinflammation, clinically known as immune reconstitution inflammatory syndrome (IRIS), following the commencement of antiretroviral therapy (ART). No prognostic markers or biomarkers have been identified to date and little is known about the mechanism mediating the hyperinflammation. We recruited a prospective cohort of 63 patients with HIV-associated TB, 33 of whom developed TB-IRIS. Of which transcriptomic profiling was performed using longitudinal whole blood RNA samples from 15 non-IRIS and 17 TB-IRIS patients. Transcriptomic signatures that distinguish patients who would eventually develop IRIS were identified as early as week 0.5 (2-5 days post-ART) and predicted a downstream activation of proinflammatory cytokines. At the peak of IRIS (week 2), transcriptomic signatures were overrepresented by innate receptor signaling pathways including toll-like receptor, IL-1 receptor and TREM-1.