Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Ni Deprivation in Synechococcus WH8102

ABSTRACT: Two sets of microarray experiments examining the transcriptional response to Ni deprivation. One set was for growth on ammonium and the other for growth on urea Pairwise replicated comparisons (Ni deprivation in urea and ammonia)

ORGANISM(S): Synechococcus sp. WH 8102

SUBMITTER: Chris Dupont

PROVIDER: E-GEOD-39972 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Shared Molecules

Only show the datasets with similarity scores above: 0.5

Threshold

0.5

Similar Datasets

Project description:Curli are adhesive fimbriae of Enterobactericaeae and are involved in surface attachment, cell aggregation and biofilm formation. We previously reported that natural curli variants of E. coli O157:H7 (EcO157) displayed distinct acid resistance; however, this difference was not linked to the curli fimbriae per se. Here, we investigated the underlying molecular basis of this phenotypic divergence between the curli variants. Among curli-producing (C+) variants isolated from the 1993 U.S. hamburger-associated outbreaks strains, we identified large deletions in the rcsB gene that encodes the response regulator of RcsCDB two-component signal transduction system of rcsB ,. Further comparison of stress fitness revealed that C+ variants were also significantly more sensitive to heat shock, but remained similar resistance to osmotic stress and oxidative damage as curli-deficient (C-) variants. Transcriptomics analysis uncovered a large number of differentially expressed genes between the curli variants, characterized by the enhanced expression of genes related to biofilm formation, virulence, catabolic activity and nutrients uptake, but marked decrease in transcription of genes related to various stress resistance in C+ variants. Supplying C+ variants with a functional rcsB restored cells resistance to heat shock and acid challenge, but blocked the curli production, confirming that inactivation of RcsB in C+ variants was the basis of fitness segregation within the EcO157population. This study provides an example of how genome instability of EcO157promotes the intra-population diversification, generating sub-populations carrying an array of distinct phenotypes that may confer the pathogen survival advantages in host and nonhost environments. Three replicates for isolates RM6607R, RM6607W, RM6608R, RM6608W independently grown from single colonies in LB broth and incubated at 28M-BM-0C overnight on a shaker (150 rpm). The cells were collected by centrifugation, washed once in LBNS broth, and inoculated in 25ml of LBNS broth with a concentration equivalent to 0.001OD600 ml-1. The cultures were incubated at 28M-BM-0C for 24 h with aeration (150 rpm). At the end of incubation, ice-cold phenol-ethanol (5%:95%) solution was immediately added to culture at a final concentration of 20% (volume), and the mixture was incubated on ice for 30 min. The cells were collected by centrifugation at 4M-BM-0C and the pellets were stored at -80M-BM-0C until RNA extraction. The cells were collected by centrifugation, washed once in LBNS broth, and inoculated in 25ml of LBNS broth with a concentration equivalent to 0.001OD600 ml-1. The cultures were incubated at 28M-BM-0C for 24 h with aeration (150 rpm). At the end of incubation, ice-cold phenol-ethanol (5%:95%) solution was immediately added to culture at a final concentration of 20% (volume), and the mixture was incubated on ice for 30 min. The cells were collected by centrifugation at 4M-BM-0C and the pellets were stored at -80M-BM-0C until RNA extraction. RNA was isolated using Promega SV Total RNA kit. A type 2 gene expression experimental design was used, with fluorescently labeled genomic DNA as a reference channel in each experiment as described by Lucchini, S., et al. 2005. Infect Immun 73:88-102.

Project description:Murine bronchioalveolar stem cells play a key role in pulmonary epithelial maintenance and repair but their molecular profile is poorly described so far. In this study, we used antibodies directed against Sca-1 and CD34, two markers originally ascribed to pulmonary cells harboring regenerative potential, to isolate single putative stem cells from murine lung tissue. The mean detection rate of positive cells was 8 per 106 lung cells. We then isolated and globally amplified the mRNA of positive cells to analyze gene expression in single cells. The resulting amplicons were then used for molecular profiling by transcript specific polymerase chain reaction (PCR) and global gene expression analysis using microarrays. Single marker-positive cells displayed a striking heterogeneity for the expression of epithelial and mesenchymal transcripts on the single cell level. Nevertheless, they could be subdivided into two cell populations: Sca-1+/CD34- and Sca-1+/CD34+ cells. In these subpopulations, transcripts of the epithelial marker Epcam (CD326) were exclusively detected in Sca-1+/CD34- cells (p = 0.03), whereas mRNA of the mesenchymal marker PdgfrM-NM-1 (CD140a) was detected in both subpopulations and more frequently in Sca-1+/CD34+ cells (p = 0.04). FACS analysis confirmed the existence of a PdgfrM-NM-1 positive subpopulation within Epcam+/Sca-1+/CD34- epithelial cells. Gene expression analysis by microarray hybridization identified transcripts differentially expressed between the two cell types as well as between epithelial reference cells and Sca-1+/CD34+ single cells, and selected transcripts were validated by quantitative PCR. Our results suggest a more mesenchymal commitment of Sca-1+/CD34+ cells and a more epithelial commitment of Sca-1+/CD34- cells. In summary, the study shows that single cell analysis enables the identification of novel molecular markers in yet poorly characterized populations of rare cells. Our results could further improve our understanding of Sca-1+/CD34+,- cells in the biology of the murine lung. Single cells of 10 Sca-1+/CD34+/CD31-/CD45-, 7 Sca-1+/CD34-/CD31-/CD45-, and 12 Sca-1-/CD34-/CD31-/CD45- were analyzed. Although the raw data are two channel only Cy5 signal of each file as analyzed. The Cy5 channel for each gene is normalized to the average Cy5 intensity of the gene across all samples.

Project description:WD40 motif-containing Msi1-like (MSIL) proteins play pleiotropic cellular functions as a negative regulator of the Ras/cAMP-pathways and a component of chromatin assembly factor-I (CAF-I), and yet have not been studied in fungal pathogens. Here we identified and characterized an MSIL protein, Msl1, in Cryptococcus neoformans, which can cause fatal meningoencephalitis in humans. Notably, Msl1 was not a functional ortholog for the yeast Msi1 but played pleiotropic roles in C. neoformans in both cAMP-dependent and -independent manners but mainly Ras-independently. Msl1 negatively controlled antioxidant melanin production and sexual differentiation, which can be repressed by inhibiting the cAMP-signaling pathways. In contrast, Msl1 controlled thermotolerance, diverse stress responses, and antifungal drugs resistance in Ras/cAMP-independent manners. Cac2, which is the second CAF-I component, appeared to play both redundant and distinct function with Msl1. Msl1 is required for full virulence of C. neoformans. Transcriptome and proteomic analysis identified a group of Msl1-regulated genes or -interacting proteins, respectively, which mostly include stress-related genes, including HSP12, HSP78, SSA1, SSA4, and STM1. Furthermore, we identified the third putative component of CAF-1, Rlf2, in C. neoformans. In conclusion, this study demonstrated the pleiotropic roles of Msl1 in human fungal pathogen C. neoformans, providing a novel antifungal therapeutic target. There is more than 95% genome homology between JEC21 and H99. Therefore, 6 slides of JEC21 (Cryptococcus neoformans var. neoformans serotype D) 70-mer oligos are used in this analysis. Total RNAs are extracted from 2 strains from H99 (H99 wild-type strain (Cryptococcus neoformans var. grubii serotype A), msl1M-NM-^T). 3 biological replicate experiments are performed for each strain. We use the mix of all total RNAs from this experiment as the control RNA. We use Cy3 as the test sample dye and Cy5 as the control dye.