Drop-on-Demand Single Cell Isolation and Total RNA Analysis

Isolation and Identification of Yeast Strains Capable of Producing Single Cell Protein from Whey in Co-Cultures with Saccharomyces cerevisiae

In this study, twenty-five whey samples collected from dairy industries in the city of Isfahan. The sampleswere cultured on malt extract broth (MEB) and yeast extract glucose chloramphenicol agar (YGCA) media.Eleven yeast strains (designated M1 to M11) were isolated from the culture. The strains were identified bytheir morphological and physiological properties. Betagalactosid...

I-13: Transcriptome Dynamics of Human and Mouse Preimplantation Embryos Revealed by Single Cell RNA-Sequencing

Background: Mammalian preimplantation development is a complex process involving dramatic changes in the transcriptional architecture. However, it is still unclear about the crucial transcriptional network and key hub genes that regulate the proceeding of preimplantation embryos. Materials and Methods: Through single-cell RNAsequencing (RNA-seq) of both human and mouse preimplantation embryos, ...

Isolation of high-quality RNA from a wide range of woody plants

Isolation of high-quality RNA is one of the most crucial methods in molecular biology. RNA extraction from woody plants has been problematic due to the presence of rigid and woody tissues, large amounts of polysaccharides, polyphenols and other secondary metabolites. Here we present a suitable protocol for RNA isolation from a wide range of woody plants that includes eight gymnosperms and four ...

RNA isolation (Total RNA Extraction from High Polysaccharide Plants). Fatemeh Mehrpooyan*

A Graph-Based Clustering Approach to Identify Cell Populations in Single-Cell RNA Sequencing Data

Introduction: The emergence of single-cell RNA-sequencing (scRNA-seq) technology has provided new information about the structure of cells, and provided data with very high resolution of the expression of different genes for each cell at a single time. One of the main uses of scRNA-seq is data clustering based on expressed genes, which sometimes leads to the detection of rare cell populations. ...