Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Model-driven mapping of transcriptional networks reveals the circuitry and dynamics of virulence regulation

ABSTRACT: Purpose: Key steps in understanding a biological process include identifying genes that are involved and determining how they are regulated. We developed a novel method for identifying TFs involved in a specific process and used it to map regulation of the key virulence factor of Cryptococcus neoformans, its capsule. Results: The map, built from expression profiles of 41 TF mutants, includes 20 TFs not previously known to regulate virulence attributes. It also reveals a hierarchy comprising executive, mid-level, and “foreman” TFs. When grouped by temporal expression pattern, these TFs explain much of the transcriptional dynamics of capsule induction. Phenotypic analysis of 41 TF deletion mutants revealed complex relationships among virulence factors and virulence in mice. Conclusions: These data resources and analyses provide the first integrated, systems level view of capsule regulation and biosynthesis. Our methods dramatically improve the efficiency with which transcriptional networks can be analyzed, making genomic approaches accessible to labs focused on specific physiological processes. A total of 288 expression profiles were generated by RNA-Seq analysis of Mutant and wildtype cells grown in capsule inducing conditions for 90 minutes. In addition, 3 replicate expression profiles were generated for wildtype cells grown in : a capsule non-inducing condition, a capsule inducing condition for 180 minutes, a capsule inducing condition for 480 minutes, and a capsule inducing condition for 1440 minutes. In addition, ChIP-seq of NRG1(CNAG_05222) in capsule inducing conditions, and USV101(CNAG_05420) in both capsule inducing and non-inducing conditions were generated.

ORGANISM(S): Cryptococcus neoformans

SUBMITTER: Ezekiel Maier

PROVIDER: E-GEOD-60398 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Carbon dioxide (CO2) sensing, transport, and metabolism play a pivotal role in survival and proliferation of pathogenic microbes infecting human host from natural environments due to the drastic difference of CO2 levels. Carbonic anhydrases (CAs) are not only key CO2-metabolic enzymes catalyzing reversible interconversion between CO2 and bicarbonate (HCO3-), but also important CO2-signaling modulators. Cryptococcus neoformans that causes fatal fungal meningitis contains two functional CAs, Can1 and Can2, among which Can2 plays essential roles for growth and sexual differentiation of the pathogen. However, downstream genes and signaling network regulated by CAs have not been studied thus far. In this study, we constructed a C. neoformans strain where CAN2 expression is controlled by the CTR4 (copper transporter) promoter and elucidated its transcriptome patterns by using DNA microarray analysis to elucidate downstream target genes of Can2. Expectedly, the CAN2 promoter replacement strain showed growth defects in a CO2-dependent manner when CAN2 is repressed. The CA-transcriptome analysis discovered a number of Can2-dependent genes, including those involved in fatty acid biosynthesis (FAS1), sexual differentiation (GPB1), capsule structure organization (CAS3), iron-metabolism (CFO2), and a number of stress-regulated genes, including an oxidative stress-responsive Atf1 transcription factor, although a majority of them do not have any orthologs in other fungi. The present study revealed other roles of Atf1 in capsule and melanin production and diverse stress responses, including thermotolerance and antifungal drug resistance, of C. neoformans. This study provides further insights into the signaling network of CA/CO2-sensing pathway in pathogenic fungi. 17 slides are used in this analysis, 3 or 2 biological replicate experiments are performed, total RNAs are extracted from 2 strains (H99 Wild type strain, CTR4::CAN2) at 2 time points (0hr time, 12hr time) in 2 conditions (BCS, CuSO4). We use the mixed all of total RNAs from this experiment as a control RNA. We use Cy5 as Sample dye and Cy3 as a control dye. Several experiment samples are dye swaped.

Project description:The high osmolarity glycerol response (HOG) pathway plays a pivotal role in the stress response, virulence regulation, and differentiation of fungi, including Cryptococcus neoformans that causes fatal meningoencephalitis. Core signaling components of in the HOG pathway, including the Tco-Ypd1-Ssk1 phosphorelay system and the Ssk2-Pbs2-Hog1 MAPK module, have been elucidated but its downstream transcription factors remain unclear. Here we demonstrated that Atf1 with a basic leucine zipper domain is the transcription factor downstream of Hog1 in C. neoformans. We found that ATF1 expression was differentially regulated by oxidative damaging agents, mainly in a Hog1-dependent, but Mpk1-independent, manner. Interestingly, Atf1 not only promoted oxidative stress response and adaptation, but also played an opposing role to Hog1 in the process. Atf1 primarily localized to the nucleus under both unstressed and oxidative stress conditions in a Hog1-independent manner. Our data demonstrated that Atf1 promoted pheromone production and sexual differentiation under negative control by Hog1. Finally, a DNA microarray-based transcriptome analysis of the atf1M-bM-^HM-^F mutant under unstressed and oxidative stress conditions revealed that Atf1 regulated oxidative stress response genes, including a sulfiredoxin gene (SRX1). Intriguing, the array data further demonstrated that Atf1 modulated basal expression of genes involved in DNA repair and genotoxic stress response. Supporting this, we found that the atf1M-bM-^HM-^F mutant was highly sensitive to genotoxic agents. In conclusion, this study provided a further insight into the Hog1-dependent oxidative and genotoxic stress response and differentiation mechanism of C. neoformans. There are more than 95% of genome homology between JEC21 and H99. Therefore 6 slides of JEC21 (Cryptococcus neoformans var. neoformans serotype D) 70-mer oligo are used in this analysis, 3 biological replicate experiments are performed, total RNAs are extracted 2 conditions (with or without treatment of Hydroten peroxide) from H99 (H99 Wild type strain (Cryptococcus neoformans var. grubii serotype A), and atf1M-NM-^T). We use the mixed all of total RNAs from this experiment as a control RNA. We use Cy3 as Sample dye and Cy5 as a control dye.

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Model-driven mapping of transcriptional networks reveals the circuitry and dynamics of virulence regulation

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