In situ hybridization (ISH) for localization of DNA/RNA hybrids in cytological preparations was first described in 1969 by Gall and Pardue. This method enables mRNA transcripts to be detected in tissue sections. Unlike expression analyses based on polymerase chain reactions, the exact localization of the target transcripts can be identified within the tissue…
Tag: <span>sartorius</span>
This study assessed a novel statistical approach using space-filling designs (SFDs) and self-validating ensemble modeling (SVEM) machine learning to efficiently identify key process factors using recombinant adeno-associated virus type 9 (rAAV9) gene therapy manufacturing as a case study. Based on risk assessment of parameters that may impact rAAV9 production, we have evaluated six process parameters using 24-run SFDs generated by the JMP statistical software. SFDs are a new class of design of experiment (DoE) created with the objective of covering the entire design space as completely as possible; this in turn allows more accurate modeling of complex response surface behavior typically found in bioprocesses.
The price per patient for protein-based and monoclonal antibody (mAb) therapies runs into thousands of dollars per patient each year. These therapies cost considerably more to manufacture than small molecules. Hence, if mammalian or insect cell lines expressing high protein titres can be selected and optimized for protein expression using microscale bioreactor models early in development, then manufacturing costs can be reduced significantly…
Plants must be capable of responding to climatic fluctuations, diurnal rhythms, available supplies of water and nutrients, and insect attacks and infestations. To ensure such responses, plants need a network of regulating substances called phytohormones. These substances enable plants to respond to both biotic and abiotic stresses by initiating a cascade of orchestrated actions, and to trigger development-specific processes. In this article, we will discuss a highly sensitive analytical method for quantitative determination of phytohormones. The main representatives of the plant hormones are jasmonic acid (JA), cytokines, auxins, abscisic acid, salicylic acid, gibberellins, and strigolactones.