Project description:The TNF superfamily is large, including TNF ligands (n = 19) and TNF receptors (n = 29),as determined following the completion of large-scale sequencing of the human and mouse genomes. These members not only function in immune cells but are also involved in respiratory and intestinal diseases, and some members may act as a double-edged sword. Tumor necrosis factor-like cytokine 1A (TL1A, also known as TNFSF15) is the only known death receptor 3 (DR3, also known as TNFRSF25) ligand (Meylan et al., 2011). The TL1A/DR3 axis plays a role in the regulation of intestinal immunity and fibrosis (Valatas et al., 2019), asthma airway remodeling (Zhang et al., 2022; Herro et al., 2010), and other autoimmune and inflammatory diseases (Herro et al., 2021), exacerbating disease progression. However, some researchers have proposed that the TL1A/DR3 axis has a protective role in some disease models. A novel role for TL1A/DR3 in protection against intestinal injury was reported by Jia et al (Jia et al., 2016). Yang et al. revealed a protective effect of TL1A against intracerebral hemorrhage-induced secondary brain injury and infection (Yang et al., 2021). In addition, TL1A maintains the blood–retinal barrier by modulating SHP-1-Src-VE-cadherin signaling in diabetic retinopathy, as verified by Li et al (Li et al., 2021). However, the role of TL1A/DR3 in ARDS has not been explored.
Project description:Single-cell RNA-sequencing was performed on the tumor microenvironment of the glioblastomas isolated from PDOX models (Golebiewska et al., Acta Neuropathologica, 2020; Oudin et al., STAR Protocols 2021). Sample names correspond to PDOX models. Normal mouse brain was used as a contol. One PDOX model was treated with temolozomide (P3TMZ).
Project description:We employed our recently developed proteogenomic workflow (De Marchi et al, 2021) to analyze a cohort of 21 primary breast cancers by RNA sequencing and mass spectrometry.
Project description:<p>Genome-wide association studies (GWAS) identified thousands of genetic loci associated with complex plant traits, including many traits of agronomical importance. However, functional interpretation of GWAS results remains challenging because of large candidate regions due to linkage disequilibrium. High-throughput omics technologies, such as genomics, transcriptomics, proteomics, and metabolomics open new avenues for integrative systems biological analyses and help to nominate systems information supported (prime) candidate genes. In the present study, we capitalize on a diverse canola population with spring-type 477 lines which was previously analysed by high-throughput phenotyping (Knoch et al., 2020), and by RNA sequencing and metabolite profiling for multi-omics-based hybrid performance prediction (Knoch et al., 2021). We deepened the phenotypic data analysis, now providing 123 time-resolved image-based traits, to gain insight into the complex relations during early vegetative growth and re-analysed the transcriptome data based on the latest Darmor-bzh v10 genome assembly (Rousseau-Gueutin et al., 2020). Genome-wide association testing revealed 61,298 robust quantitative trait loci (QTL) including 187 metabolite-QTL, 56,814 expression-QTL, and 4,297 phenotypic QTL, many clustered in pronounced hotspots. Combining information about QTL colocalisation across omics layers and correlations between omics features allowed us to discover prime candidate genes for metabolic and vegetative growth variation. Prioritized candidate genes for early biomass accumulation include A06p05760.1_BnaDAR (PIAL1), A10p16280.1_BnaDAR, C07p48260.1_BnaDAR (PRL1), and C07p48510.1_BnaDAR (CLPR4). Moreover, we observed unequal effects of the Brassica A and C subgenomes on early biomass production.</p><p><br></p>
Project description:Strains: non-producing refernece strain pXMJ19 (CR099 pXMJ19; Goldbeck et al., 2021) and Pediocin-producer pxMJ19 ped (CR099 pXMJ19 Ptac pedACDCg, Goldbeck et al., 2021) Pediocin-producing and non-producing strains of Corynebacterium glutamicum were compared in a whole genome microarray analysis setup in order to identify potential strain optimization targets
2023-03-08 | GSE220713 | GEO
Project description:Ye et al 2021 Cytokinin-LBD paper
Project description:We performed an inter-species comparison of murine spermatogenesis using the inbred strains C57B6J, CAST/EiJ and CAROLI/EiJ to investigate the cell type-specific evolution of gene expression levels among closely related species. We also used F1 crosses of C57B6J and CAST/EiJ to investigate context-specific regulatory effects on gene expression in cis and trans by measuring allele-specific expression (Goncalves et al. 2012; Wittkopp et al. 2021). To this end, single-cell RNA-Sequencing data was generated from dissociated testicular tissue in each mouse strain using the 10x Genomics scRNA-Seq platform.