Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

14 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Digital gene expression profiling of the Phytophthora sojae transcriptome

ABSTRACT: This experiment contains Phytophthora sojae samples and RNA-seq data from experiment E-GEOD-29561 (https://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-29651/) to understand gene expression during the P. sojae life cycle. The transcriptome of the oomycete plant pathogen Phytophthora sojae was profiled at 5 different developmental stages: mycelia (MY), zoosporangia (SP), zoospores (ZO), cysts (CY) and germinating cysts (GC); based on a 3'-tag digital gene expression (DGE) protocol. More than 90 million clean sequence tags were generated and compared to the P. sojae genome and its 19,027 predicted genes. A total of 14,969 genes were detected, of which 10,044 were deemed reliable because they mapped to unambiguous tags. A web-based server named the Phytophthora Transcriptional Database (PTD) has been established.

ORGANISM(S): Phytophthora sojae

SUBMITTER: Wenwu Ye

PROVIDER: E-MTAB-4039 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

Digital gene expression profiling of the Phytophthora sojae transcriptome.

Ye Wenwu W Wang Xiaoli X Tao Kai K Lu Yuping Y Dai Tingting T Dong Suomeng S Dou Daolong D Gijzen Mark M Wang Yuanchao Y

Molecular plant-microbe interactions : MPMI 20111201 12

The transcriptome of the oomycete plant pathogen Phytophthora sojae was profiled at ten different developmental and infection stages based on a 3'-tag digital gene-expression protocol. More than 90 million clean sequence tags were generated and compared with the P. sojae genome and its 19,027 predicted genes. A total of 14,969 genes were detected, of which 10,044 were deemed reliable because they mapped to unambiguous tags. A comparison of the whole-library genes' expression patterns suggested f ...[more]

PMID: 21848399

Similar Datasets

Digital gene expression profiling of the Phytophthora sojae transcriptome

Project description:The transcriptome of the oomycete plant pathogen Phytophthora sojae was profiled at 10 different developmental and infection stages based on a 3'-tag digital gene expression (DGE) protocol. More than 90 million clean sequence tags were generated and compared to the P. sojae genome and its 19,027 predicted genes. A total of 14,969 genes were detected, of which 10,044 were deemed reliable because they mapped to unambiguous tags. A comparison of the whole-library genes expression patterns suggested four groups: 1) mycelia and zoosporangia (MY and SP); 2) zoospores and cysts (ZO and CY); 3) germinating cysts (GC); 4) five infection site libraries (IF1.5 to IF24h). The libraries from the different groups showed major transitional shifts in gene expression. From the ten libraries, 722 gene expression pattern clusters were obtained and the top 16 ones, containing more than half of the genes, comprised enriched genes with different functions including protein localization, triphosphate metabolism, signaling process, and non-coding RNA metabolism. An evaluation of the average expression level of 30 pathogenesis related gene families revealed that most were infection induced, but with diverse expression patterns and levels. A web-based server named the Phytophthora Transcriptional Database (PTD) has been established. The five axenically grown stages were mycelia (MY), zoosporangia (SP), zoospores (ZO), cysts (CY), and germinating cysts (GC). The five infection stages, 1.5, 3, 6, 12 and 24 h after inoculation onto susceptible soybean leaf tissues (IF1.5h to IF24h).

2011-09-01 | E-GEOD-29651 | biostudies-arrayexpress

Bbssk1 dependent gene expression in Beauveria bassiana

Project description:Ssk1-type response regulator proteins are the core elements of histidine-to-aspartate systems that mediate fungal stress tolerance, a determinant to the biocontrol potential of fungal entomopathogens. We characterized for the first time the functions of Beauveria bassiana Ssk1 (Bbssk1) by analyzing multi-phenotypic changes in DBbssk1 and differentially expressed genes (DEGs) in the digital gene expression (DGE) libraries of DBbssk1 and wild-type constructed under osmotic stress. The results revealed 1003 DEGs, of which many associated with conidiation, xenotics transport, cell wall integrity, and protein and carbohydrate metabolism were greatly down-regulated. Total RNA obtained from Bbssk1 disruption mutant subjected to 0.5 M NaCl for 30 minutes compared to the wild type strain under the same stress treatment.

2012-08-21 | E-GEOD-40229 | biostudies-arrayexpress

Molecular profiling of human mammary gland links breast cancer risk to a p27+ cell population with progenitor characteristics

Project description:Gene expression, DNA and histone methylation profiles were performed on multiple cell types purified from normal human nulliparous and parous breast tissue using SAGE-seq, MSDK-seq and ChIP-seq [GSE26141]. SAGE-seq, MSDK-seq and ChIP-seq libraries were made from individual cell types and integrated to find a comprehensive view of parity associated changes.

2013-06-13 | E-GEOD-32017 | biostudies-arrayexpress

Transcriptomic analysis of fungus Penicillium decumbens and brlA deletion strains in different culture medium

Project description:Transcriptomic analysis of fungus Penicillium decumbens and brlA deletion strains in liquid medium and solid medium respectivelly Examination of differential gene expressions by Penicillium decumbens strains 114-2 and brlA deletion stains in liquid medium and solid medium

2013-04-09 | E-GEOD-45855 | biostudies-arrayexpress

Transcriptomic analysis of LaeA and LaeB deletion strains in fungus Beauveria bassiana

Project description:Transcriptomic analysis of LaeA-deletion and overexpression LaeB in LaeA deletion strains in fungus Beauveria bassiana Examination of differential gene expressions by Beauveria bassiana wild type, LaeA-deletion and overexpression LaeB in LaeA deletion strains in fungus Beauveria bassiana

2013-12-05 | E-GEOD-52995 | biostudies-arrayexpress

Transcriptomic analysis of fungus Penicillium oxalicum and its laeA deletion strains in 24h and 60h

Project description:The goals of this study are to compare differential gene expressions for Penicillium oxalicum wild type strain (WT), and laeA knockout strain (ΔlaeA) in different development phase. The deletion of laeA downregulated genes involved in oxidation- reduction process, alkaloid metabolic process, and transmembrane transport. We find the expression levels of seven secondary metabolism gene clusters (totally 28 clusters) were silenced inΔlaeA. This study provides the information that laeA function are required in conidiation and hydrolase activity of P. oxalicum. Examination of differential gene expressions by digital gene expression tag profiling in Penicillium oxalicum wild type strain and laeA knockout mutant strains in 24h and 60h in modified Czapek culture medium with 2% glucose as carbon resource. qRT–PCR validation was performed using SYBR Green assays.

2015-07-27 | E-GEOD-71287 | biostudies-arrayexpress

Transcriptional profiling of FOXP3+ Treg cells and corresponding FOXP3-losing cells

Project description:Natural CD4+FOXP3+ regulatory T (Treg) cells constitute a unique T-cell lineage that plays a pivotal role in maintaining immune homeostasis and immune tolerance. Recent studies provide evidence for the heterogeneity and plasticity of the Treg cell lineage. However, the fate of human Treg cells after loss of FOXP3 expression and the underlying epigenetic mechanisms remain to be fully elucidated. Here, we compared gene expression profiles and histone methylation status on two histone H3 lysine residues (H3K4me3 and H3K27me3) of expanded FOXP3+ and corresponding FOXP3-losing Treg cells. DGE assay showed that human Treg cells down-regulated Treg signature genes, whereas up-regulated a set of Th lineages-associated genes, especially for Th2, such as GATA3, GFI1 and IL13, after in vitro expansion. Furthermore, we found that reprogramming of Treg cells was associated with histone modifications, as shown by decreased abundance of permissive H3K4me3 within down-regulated Treg signature genes, such as FOXP3, CTLA4 and LRRC32 loci, although with no significant changes in H3K27me3 modification. Thus, our results indicate that human Treg cells could convert into a Th-like cells upon in vitro expansion, displaying a gene expression signature dominated by Th2 lineage associated genes, and the histone methylation might contribute to such conversion. mRNA profiles of in-vitro-expanded FOXP3+ Treg and FOXP3-losing Treg cells generated by deep sequencing.

2013-06-06 | E-GEOD-47636 | biostudies-arrayexpress

Comparative Transcriptomics of Soybean Near Isogenic Lines in Response to Phytophthora Sojae

Project description:Phytophthora root and stem rot (PRR) of soybean, caused by Phytophthora sojae, is effectively controlled by Rps genes in soybean. Rps genes are race-specific, yet the mechanism of resistance, as well as susceptibility, remains largely unclear. Taking advantage of RNA-seq technology, we sequenced the transcriptomes of 10 near isogenic lines (NIL), each with a unique Rps gene, and the recurrent susceptible parent ‘Williams’. A total of 4330 differentially expressed genes (DEGs) were identified in ‘Williams’ while 2075 to 5499 DEGs were identified in each NIL. Comparisons between the NILs and ‘Williams’ allowed classification of two major groups of DEGs of interest: incompatible reaction associated genes (IRAGs) and compatible reaction associated genes (CRAGs). Hierarchical cluster analysis divided NILs into three clusters: Cluster I (Rps1-a), Cluster II (Rps1-b, 1-c and 1-k) and Cluster III (Rps3-a, 3-b, 3-c, 4, 5, and 6). Heatmap analysis, along with GO analysis suggested that the diversity of clusters for NILs were likely due to variation of the number of DEGs and the intensity of gene expression, rather than functional differentiation. Further analysis suggested that transcription factors might play pivotal role in determination of the cluster pattern, and that WRKY family were strongly associated with incompatible reactions. Analysis of IRAGs and CRAGs with putative functions suggested that the regulation of many phytohormone signaling pathways were associated with incompatible or compatible interactions with potential crosstalk between each other. As such, our study provides an in depth view of both incompatible and compatible interactions between soybean and P. sojae, which provides further insight into the mechanisms involved in host-pathogen interactions. 22 samples were sequenced, 11 inoculated with P. sojae, the other 11 were mock-inoculated

2014-04-16 | E-GEOD-48524 | biostudies-arrayexpress

Transcription factor Msn2 dependent gene expression in two entomopathogen fungi, Beauveria bassiana and Metarhizium robertsii under thermal and oxidaitve stresses

Project description:Transcription factor Msn2 played crucial roles in mediating fungal stress tolerance, a determinant to the biocontrol potential of fungal entomopathogens. We characterized for the first time the functions of Beauveria bassiana Msn2 (BbMsn2) and Metarhizium robertsii (MrMsn2) by analyzing multi-phenotypic changes in Msn2-deletion and investigating transcription patterns of WT versus M-NM-^TMsn2 of B. bassiana and M. robertsii under thermal and oxidative stresses by using high throughput sequencing (RNA-Seq). Our transcriptional profiles revealed that numerous differentially expressed genes (DEGs), of which involved in transportation, detoxification, signal transduction, and energy metabolism, were significantly repressed in expression level. Total RNA obtained from Bbmsn2 and MrMsn2 disruption mutant subjected to 2 mM menadione and 40 M-BM-0C for 3-h response compared to the wild type strain under the same stress treatment.

2015-02-01 | E-GEOD-40765 | biostudies-arrayexpress

Beauveria bassiana SNF 1 (BbSNF1) regulating genes involved in conidiation

Project description:Gene BbSNF1 playes an essential role in mediating metabolism and cell development during conidation, a determinant to the biocontrol potential of entomopathogenic fungi. The genome-wide exprssion analysis involved in fungal conidiation was analyzed by using high throughput sequencing (RNA-Seq). Our transcriptional profiles revealed that numerous differentially expressed genes (DEGs), of which involved in metabolism, cell transport and cell rescue, were significantly involved in deveopment of fungal conida. . Total RNA obtained from BbSNF1 disruption mutant were compared to that of wild type strain (WT) grown on SDA plates (Glucose 4%, Peptone 1%, and Yeast extract 1% plus 1.5% Agar).

2016-07-24 | E-GEOD-60002 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data