Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Regional organization of gene expression in Streptomyces coelicolor

ABSTRACT: Based on the chromosomal locations of genes inferred from sequence analysis to be essential for the viability of Streptomyces coelicolor, Bentley et al. (Bentley et al., 2002) have suggested that a 4.9 Mb central region of the linear S. coelicolor chromosome encodes core functions expressed during vegetative growth of this species, while 1.5 Mb and 2.3 Mb chromosomal DNA segments lateral to this core encode auxiliary functions proposed to be required under other growth conditions. To examine this hypothesis and experimentally identify genes expressed during vegetative growth of S. coelicolor cultures, we used DNA microarrays to measure globally the abundance of S. coelicolor transcripts in cells growing in liquid medium. We found that, overall, genes corresponding to the 4.9 Mb core region of the S. coelicolor M145 chromosome were more highly expressed under non-limiting growth conditions than genes in the 1.5 Mb left and 2.3 Mb right chromosome arms, supporting the notion of the core versus auxiliary organization of genes on the chromosome. To examine how this chromosomal distribution of transcripts changes under other growth conditions, we also measured gene expression changes during stationary phase and several stress conditions. During stationary phase, the composition of S. coelicolor transcripts appears to shift from large quantities of growth-related transcripts encoded in the core region to those of less characterized genes, which may be essential for differentiation and other physiological responses, encoded throughout the chromosome. After temperature and osmotic upshifts, we found that S. coelicolor transiently induces a set of several hundred genes located throughout the chromosome, which may function in response mechanisms common to the two stress conditions. Keywords: all_pairs An all pairs experiment design type is where all labeled extracts are compared to every other labeled extract.

ORGANISM(S): Streptomyces coelicolor

SUBMITTER: N Karoonuthaisiri

PROVIDER: E-GEOD-2921 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Regional organization of gene expression in Streptomyces coelicolor.

Karoonuthaisiri Nitsara N Weaver David D Huang Jianqiang J Cohen Stanley N SN Kao Camilla M CM

Gene 20050601 1

Based on the chromosomal locations of genes inferred from sequence analysis to be essential for the viability of Streptomyces coelicolor, Bentley et al. [Bentley, S.D., et al. 2002. Complete genome sequence of the model actinomycete Streptomyces coelicolor A3(2), Nature 417, 141-147.] have suggested that a 4.9 Mb central region of the linear S. coelicolor chromosome encodes 'core' functions expressed during vegetative growth of this species, while 1.5 Mb and 2.3 Mb chromosomal DNA segments later ...[more]

PMID: 15936160

Similar Datasets

Project description:Summary: Breast cancer cell lines have been used widely to investigate breast cancer pathobiology and new therapies. Breast cancer is a molecularly heterogeneous disease, and it is important to understand how well and which cell lines best model that diversity. In particular, microarray studies have identified molecular subtypes (luminal A, luminal B, ERBB2-associated, basal-like and normal-like) with characteristic gene-expression patterns and underlying DNA copy number alterations (CNAs). Here, we studied a collection of breast cancer cell lines to catalog molecular profiles and to assess their relation to breast cancer subtypes. Whole-genome DNA microarrays were used to profile gene expression and CNAs in a collection of 52 widely-used breast cancer cell lines, and comparisons were made to existing profiles of primary breast tumors. Hierarchical clustering was used to identify gene-expression subtypes, and Gene Set Enrichment Analysis (GSEA) to discover biological features of those subtypes. Genomic and transcriptional profiles were integrated to discover within high-amplitude CNAs candidate cancer genes with coordinately altered gene copy number and expression. Transcriptional profiling of breast cancer cell lines identified one luminal and two basal-like (A and B) subtypes. Luminal lines displayed an estrogen receptor (ER) signature and resembled luminal-A/B tumors, basal-A lines were associated with ETS-pathway and BRCA1 signatures and resembled basal-like tumors, and basal-B lines displayed mesenchymal and stem-cell characteristics. Compared to tumors, cell lines exhibited similar patterns of CNA, but an overall higher complexity of CNA (genetically simple luminal-A tumors were not represented), and only partial conservation of subtype-specific CNAs. We identified 80 high-level DNA amplifications and 13 presumptive homozygous deletions, and the resident genes with concomitantly altered gene-expression, highlighting known and novel candidate breast cancer genes. Overall, breast cancer cell lines were genetically more complex than tumors, but retained expression patterns with relevance to the luminal-basal subtype distinction. The compendium of molecular profiles defines cell lines suitable for investigations of subtype-specific pathobiology, biomarkers and therapies, and provides a resource for discovery of new breast cancer genes. HEEBO oligonucleotide microarrays from the Stanford Functional Genomics Facility were used to perform gene expression profiling of 50 human breast epithelial cell lines, in comparison to a universal RNA reference. Expression data were analyzed by hierarchical clustering to identify subgroups, and gene set enrichment analysis to identify subgroup-specific gene pathways.

Project description:The first goal of the study was to find the genes that explain the difference in progression of age-related retinal degeneration (ageRD) between the inbred strains C57BL/6J-c2J (B6a) and BALB/cByJ (C). The specific goal was to find the candidate genes that explain the chromosome 6 and chromosome 10 quantitative trait loci (QTL) found in a previous study. Genes differentially expressed in retina between both strains and that map to the QTL are candidate genes. By integrating different approaches: microarray study, knowledge-based candidate gene search and screening of genetic variants, we found 35 candidate genes for chromosome 6 QTL and 14 candidate genes for chromosome 10 QTL. Five genes for each QTL were selected for sequencing and qPCR analysis. One gene, Tnfaip3 was selected for phenotypic testing and was excluded as the quantitative trait gene for chr10 QTL. The second goal of the study was to find biological processes and pathways associated with ageRD by Gene Ontology analysis of the microarray data. We concentrated on GO terms overrepresented in either strain at 8 months; the age when there is a difference in the phenotype (outer nuclear layer thickness). The GO analysis revealed that transcripts associated with inflammation, mitochondrial envelope, DNA repairing and oxidative stress were increased in the ageRD sensitive C strain with age (8 months). In the ageRD resistant B6a strain transcripts associated with antioxidant response, regulation of blood vessel size and growth factor activity were increased with age. Transcripts associated with cell remodeling and lipid metabolism were increased in either strain with age. This study aims to identify gene expression differences in posterior eyecups between the strains C and B6a at 4 months and at 8 months. Twelve animals were used per strain and time point for a total of 48 mice. Total RNA for 3 animals (6 eyes) were pooled giving a total of 4 biological replicates per strain and time point. The 4-month C samples labeled with Cy5 were hybridized with the 4-month B6a samples labeled with Cy3 (4 biological replicates); the 8-month C samples labeled with Cy5 were hybridized with the 8-month B6a samples labeled with Cy3, for 8 arrays (4 biological replicates). A second set of eight arrays were used to analyzed the same RNA samples but with the dye orientation reversed, yielding a total of 16 arrays in the experiment. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc.

Dataset Information

Regional organization of gene expression in Streptomyces coelicolor

Publications

Regional organization of gene expression in Streptomyces coelicolor.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure