Project description:To demonstrate the tolerance of mammalian sperm nucleus against extreme environments, mouse spermatozoa were freeze-dried and treated with 95 °C for 1 h or irradiated at over 5 Gy. Although all sperm were ostensibly dead after rehydration, healthy offspring were obtained from recovered sperm nuclei. The normality of those offspring were examined by microarray, and no difference were detected compare to fresh control offspring.
Project description:To determine the transcriptomic (mRNA and microRNA) content present in fresh apheresis platelets and freeze dried platelets (Thrombosomes) we used RNA-Seq approach. The goal was to determine if the freeze drying process maintained the transcriptomic cargo of the fresh platelets.
Project description:Population Heterogeneity of Lactobacillus delbrueckii subsp. bulgaricus in Microbial Liquid, Freeze Dried, and Freeze Dried Storage by Single Cell Sequencing
Project description:The zebrafish embryo has repeatedly proved to be a useful model for the analysis of effects by environmental toxicants. This study was performed to investigate if an approach combining mechanism-specific bioassays with microarray techniques can obtain more in-depth insights into the ecotoxicity of complex pollutant mixtures as present, e.g., in freeze-dried whole sediment samples and their corresponding organic extracts in parallel. To this end, altered gene expression was compared to data from established bioassays as well as to results from chemical analysis. Microarray analysis revealed several classes of significantly regulated genes which could to a considerable extent be related to the hazard potential. Results indicate that potential classes of contaminants can be assigned to sediment extracts by both classical biomarker genes and corresponding expression profile analyses of known substances. However, it is difficult to distinguish between specific responses and more universal detoxification of the organism. Additionally, different gene expression was shown to be less influenced by the sampling site than by the method of exposure, which could be attributed to differential bioavailability of contaminants. Microarray analyses were performed with early life stages of zebrafish exposed to sediment extracts or freeze-dried sediment from three sampling sites (Ehingen, Lauchert, Sigmaringen) along the Upper part of the Danube River, Germany. The expression profiles were compared within the sampling sites, between the exposure scheme and to the expression pattern of model toxicants, such as 4-chloroaniline, Cadmium, DDT, TCDD, and Valproic acid (Gene Expression Omnibus Series GSE9357). Additionally, mechanism-specific bioassays and chemical analysis of the sediments have been combined and compared to the present gene expression data.
Project description:The zebrafish embryo has repeatedly proved to be a useful model for the analysis of effects by environmental toxicants. This study was performed to investigate if an approach combining mechanism-specific bioassays with microarray techniques can obtain more in-depth insights into the ecotoxicity of complex pollutant mixtures as present, e.g., in freeze-dried whole sediment samples and their corresponding organic extracts in parallel. To this end, altered gene expression was compared to data from established bioassays as well as to results from chemical analysis. Microarray analysis revealed several classes of significantly regulated genes which could to a considerable extent be related to the hazard potential. Results indicate that potential classes of contaminants can be assigned to sediment extracts by both classical biomarker genes and corresponding expression profile analyses of known substances. However, it is difficult to distinguish between specific responses and more universal detoxification of the organism. Additionally, different gene expression was shown to be less influenced by the sampling site than by the method of exposure, which could be attributed to differential bioavailability of contaminants.
Project description:we employed high-throughput scRNA-seq to systematically profile bacterial populations throughout the freeze-drying and storage processes. Through unsupervised clustering, we delineated functional clusters with distinct physiological characteristics and fitness advantages.