Project description:Here we provide a single cell RNA-seq resource covering all of spermatogenesis in Drosophila starting from in-depth analysis of adult testis single nucleus RNA-seq . Proper differentiation of sperm from germline stem cells, essential for production of the next generation, requires dramatic changes in gene expression that drive remodeling of almost all cellular components, from chromatin to organelles to cell shape itself. Here we provide a single nucleus and single cell RNA-seq resource covering all of spermatogenesis in Drosophila starting from in-depth analysis of adult testis single nucleus RNA-seq (snRNA-seq) data from the Fly Cell Atlas (FCA) study (Li et al., 2022). With over 44,000 nuclei and 6,000 cells analyzed, the data provide identification of rare cell types, mapping of intermediate steps in differentiation, and the potential to identify new factors impacting fertility or controlling differentiation of germline and supporting somatic cells. We justify assignment of key germline and somatic cell types using combinations of known markers, in situ hybridization, and analysis of extant protein traps. Comparison of single cell and single nucleus datasets proved particularly revealing of dynamic developmental transitions in germline differentiation. To complement the web-based portals for data analysis hosted by the FCA, we provide datasets compatible with commonly used software such as Seurat and Monocle. The foundation provided here will enable communities studying spermatogenesis to interrogate the datasets to identify candidate genes to test for function in vivo.
Project description:Proper differentiation of sperm from germline stem cells, essential for production of the next generation, requires dramatic changes in gene expression that drive remodeling of almost all cellular components, from chromatin to organelles to cell shape itself. Here, we provide a single nucleus and single cell RNA-seq resource covering all of spermatogenesis in Drosophila starting from in-depth analysis of adult testis single nucleus RNA-seq (snRNA-seq) data from the Fly Cell Atlas (FCA) study. With over 44,000 nuclei and 6000 cells analyzed, the data provide identification of rare cell types, mapping of intermediate steps in differentiation, and the potential to identify new factors impacting fertility or controlling differentiation of germline and supporting somatic cells. We justify assignment of key germline and somatic cell types using combinations of known markers, in situ hybridization, and analysis of extant protein traps. Comparison of single cell and single nucleus datasets proved particularly revealing of dynamic developmental transitions in germline differentiation. To complement the web-based portals for data analysis hosted by the FCA, we provide datasets compatible with commonly used software such as Seurat and Monocle. The foundation provided here will enable communities studying spermatogenesis to interrogate the datasets to identify candidate genes to test for function in vivo.
Project description:This is a study to explore the transcriptional changes after Adjudin treatment in adult rat testes at three time points (control, 8 hour and 4 day). Adjudin, [1-(2,4-dichlorobenzyl)-1H-indazole-3-carbohydrazide], is a potential male contraceptive that targets the Sertoli-germ cell interface and causes germ cell depletion from the seminiferous epithelium. Adjudin has been proved to be a useful model to study the mechanisms that regulate junction restructuring in the testis. Keywords: Sertoli-germ cell adhesion regulation using an Adjudin model
Project description:RNAs that are enriched in AGO2 Immunoprecipitated (IP) products or PIWIL1 IP products were identified from mouse(BALB/C) adult testes by examine the ratio of total RNA signal intensity to AGO2 IP RNA or PIWIL1 IP RNA signal intensity. Two-condition experiment,Total RNA extracted from mouse adult testes vs. AGO2 IP RNA extracted from mouse adult testes and total RNA extracted from mouse adult testes vs. PIWIL1 IP RNA extracted from mouse adult testes.
Project description:Effective design of combination therapies requires understanding the changes in cell physiology resulting from drug interactions. Here, we show that the genome-wide transcriptional response to combinations of two drugs, measured at a rigorously controlled growth rate, can predict higher-order antagonism with a third drug in Saccharomyces cerevisiae. Using isogrowth profiling, over 90% of the variation in cellular response can be decomposed into three principal components (PCs) that have clear biological interpretations. We demonstrate that the third PC captures emergent transcriptional programs that are dependent on both drugs and can predict antagonism with a third drug targeting the emergent pathway. We further show that emergent gene expression patterns are most pronounced at a drug ratio where the drug interaction is strongest, providing a guideline for future measurements. Our results provide a readily applicable recipe for uncovering emergent responses in other systems and for higher-order drug combinations.
Project description:RNAs that are enriched in AGO2 Immunoprecipitated (IP) products or PIWIL1 IP products were identified from mouse(BALB/C) adult testes by examine the ratio of total RNA signal intensity to AGO2 IP RNA or PIWIL1 IP RNA signal intensity.
Project description:Raw .d files containing LC-DTIMS-CID-MS for the analysis of lipidomic changes during stem cell differentiation into mesodermal and neural cell lineages.
Project description:This is a study to explore the transcriptional changes after cadmium treatment in adult rat testes at three time points (control--0 hour, 8 hour and 4 day). Cadmium is an environmental toxicant that is known to affect the male reproductive system. It disrupts the blood-testis barrier irreversibly, and affects the Sertoli-germ cells adhesion, causing germ cell depletion from the seminiferous epithelium. Keywords: Cadmium effect in rat testes