A 22 kb DNA sequence in the cspB-glpPFKD region at 75° on the Bacillus subtilis chromosome

A 21808 bp nucleotide sequence at 75° on the genetic map of the Bacillus subtilis chromosome was determined. The sequence of this region is adjacent to the glpPFKD operon involved in glycerol utilization. Twenty-six ORFs were identified, one of which corresponds to the cspB gene, encoding a cold-shock protein. Seventeen of the deduced protein sequences of these ORFs displayed significant homology to known proteins in the data banks. One putative operon was identified, consisting of five ORFs, that is probably involved in the uptake and processing of copper. The location of cspB in this sequence does not confirm the genetic mapping data, indicating that the gene is closely linked to comK, which is located at 80° on the B. subtilis chromosome.

Glia Open Access Database (GOAD):A comprehensive gene expression encyclopedia of glia cells in health and disease

Recently, the number of genome-wide transcriptome profiles of pure populations of glia cells has drastically increased, resulting in an unprecedented amount of data that offer opportunities to study glia phenotypes and functions in health and disease. To make genome-wide transcriptome data easily accessible, we developed the Glia Open Access Database (GOAD), available via cation. GOAD contains a collection of previously published and unpublished transcriptome data, including datasets from isolated microglia, astrocytes and oligodendrocytes both at homeostatic and pathological conditions. It contains an intuitive web-based interface that consists of three features that enable searching, browsing, analyzing, and downloading of the data. The first feature is differential gene expression (DE) analysis that provides genes that are significantly up and down-regulated with the associated fold changes and p-values between two conditions of interest. In addition, an interactive Venn diagram is generated to illustrate the overlap and differences between several DE gene lists. The second feature is quantitative gene expression (QE) analysis, to investigate which genes are expressed in a particular glial cell type and to what degree. The third feature is a search utility, which can be used to find a gene of interest and depict its expression in all available expression data sets by generating a gene card. In addition, quality guidelines and relevant concepts for transcriptome analysis are discussed. Finally, GOAD is discussed in relation to several online transcriptome tools developed in neuroscience and immunology. In conclusion, GOAD is a unique platform to facilitate integration of bioinformatics in glia biology. GLIA 2015;63:1495-150