Ontology highlight
ABSTRACT:
PROVIDER: PRJNA438146 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR6830140_1.fastq.gz | Fastqsanger.gz | |||
| SRR6830140_2.fastq.gz | Fastqsanger.gz | |||
| SRR6830150_1.fastq.gz | Fastqsanger.gz | |||
| SRR6830150_2.fastq.gz | Fastqsanger.gz | |||
| SRR6830160_1.fastq.gz | Fastqsanger.gz |
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Project description:We performed DNase-seq on 7-day-old seedlings from four A. thaliana accessions: Bur-0, Tsu-0, Bay-0, Est-1 using INTACT constructs (Deal and Henikoff, Developmental Cell, 2010) driven by the UBQ10 promoter. Chromatin accessibility profiling (Dnase I-seq) of 7-day-old seedlings of A. thaliana accessions: Bur-0, Tsu-0, Bay-0 & Est-1 grown in LD conditions (16hr light 22°C, 8hr dark 20°C).
2013-12-15 | E-GEOD-53323 | biostudies-arrayexpress
Project description:Legume plants form symbiotic relationships with diazotrophic bacteria called rhizobia. During such symbiosis, plants provide bacteria with preferred carbon sources such as malate and succinate in return for essential reduced nitrogen. Compatible interactions result in a series of plant root modifications that eventually result in nodule formation. Bacteria living in the nodule cells fix nitrogen via the nitrogenase enzyme complex. Interestingly, as in plant-pathogen interactions, incompatibility in legume-rhizobia associations is also regulated in a genotype-specific manner. For example, the dominant Rj2 gene is presumed to help exclude poor nitrogen-fixing or less-beneficial rhizobia such as B. japonicum USDA122 (U122). The process likely involves recognition of bacterial effectors by host receptor proteins similar to the perception of pathogenic microbes. Our results show that genetic exclusion of incompatible rhizobia in the root requires conserved molecular components of the plant immune response pathway and results in the induction of systemic signaling in the distal tissue. To better understand the mechanism underlying incompatible rhizobia-induced systemic signaling, we compared the transcriptional changes in the foliar tissue of Rj2 plants inoculated with compatible or incompatible rhizobia strains, using RNA-Seq analysis.
2019-10-24 | GSE139303 | GEO
Project description:Due to difficulties inherent in designating conservation units for effective species management and conservation, the use of multiple complementary sources of information is required to identify and assess the designation of conservation units based on the degree of variation among populations within a species. In this study, we combined estimates of microsatellite and transcriptomic variation to assess the population structure and potential for adaptive variation of threatened Atlantic salmon, Salmo salar, among rivers in the Bay of Fundy. In general, population structure identified by genetic differentiation was consistent with the patterns of variation in gene expression. Both data sets provided clear indication of strong regional differentiation between rivers located within the inner Bay of Fundy relative to rivers located within the outer Bay of Fundy or the Southern Uplands region. There was also support for more refined population structure; there was some differentiation in both microsatellite and gene expression patterns between salmon from rivers in the two regions of the inner Bay of Fundy: Chignecto Bay and Minas Basin. Consistent patterns apparent in the genetic and transcriptomic dataset indicate that Atlantic salmon populations from the inner and outer Bay of Fundy reflect unique genetic lineages, with some evidence of unique genetic legacies between regions of the inner Bay of Fundy, and even between individual rivers within a region. Consistency of the microarray data across two years helps to validate the use of this technique as a useful tool in assessment of variation among wild populations for species conservation.
2009-11-25 | GSE19111 | GEO
Project description:Due to difficulties inherent in designating conservation units for effective species management and conservation, the use of multiple complementary sources of information is required to identify and assess the designation of conservation units based on the degree of variation among populations within a species. In this study, we combined estimates of microsatellite and transcriptomic variation to assess the population structure and potential for adaptive variation of threatened Atlantic salmon, Salmo salar, among rivers in the Bay of Fundy. In general, population structure identified by genetic differentiation was consistent with the patterns of variation in gene expression. Both data sets provided clear indication of strong regional differentiation between rivers located within the inner Bay of Fundy relative to rivers located within the outer Bay of Fundy or the Southern Uplands region. There was also support for more refined population structure; there was some differentiation in both microsatellite and gene expression patterns between salmon from rivers in the two regions of the inner Bay of Fundy: Chignecto Bay and Minas Basin. Consistent patterns apparent in the genetic and transcriptomic dataset indicate that Atlantic salmon populations from the inner and outer Bay of Fundy reflect unique genetic lineages, with some evidence of unique genetic legacies between regions of the inner Bay of Fundy, and even between individual rivers within a region. Consistency of the microarray data across two years helps to validate the use of this technique as a useful tool in assessment of variation among wild populations for species conservation.
2009-11-25 | GSE19119 | GEO
Project description:To identify the gene expression changes in NRAS mutant cell line SKMEL-103, KRAS mutant cell line AsPC1 and HRAS mutant cell line RH-36 upon BAY 11-7082 treatment, we analyzed these cell line with either control DMSO or BAY 11-7082 treatment via RNA sequencing.
2024-08-08 | GSE251968 | GEO
Project description:Rhizobia are soil bacteria that can enter into complex symbiotic relationships with legumes, where rhizobia induce the formation of nodules on the plant root. Inside nodules, rhizobia differentiate into nitrogen-fixing bacteroids that reduce atmospheric nitrogen into ammonia, secreting it to the plant host in exchange for carbon. During the transition from free-living bacteria to bacteroids, rhizobial metabolism undergoes major changes. To investigate the metabolism of bacteroids and contrast it with the free-living state, we quantified the proteome of unlabelled bacteroids relative to 15N-labelled free-living rhizobia. The data were used to build a core metabolic model of pea bacteroids for the strain Rhizobium leguminosarum bv. viciae 3841.
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Project description:Drought-responsive genes in soybean leaves were successfully obtained using soybean gene 1.0 ST array. Leaf samples from the vegetative stage of soybean plants were used. V6 soybean plants planted in the pots were imposed drought by withholding water for 6 days until the soil moisture content drop to 5% and trifolium 4th were collected for expression profiling
2012-04-02 | E-GEOD-29663 | biostudies-arrayexpress
Project description:Although therapy responsiveness to therapy in Burkitt lymphoma (BL) is high, relapsed disease and and chemoresistance remain a clinical challenge, and complete mechanisms underlying BL chemoresistance and how it can be circumvented is yet to be fully elucidated. In this study we present data showing that chymotrypsin-like serine proteases inhibitor Nα-tosyl-L-phenylalanine chloromethylketone (TPCK) and specific NF-κB inhibitor Bay-11 7082 can induce caspase-independent apoptosis in chemoresistant BL cells. We also demonstrate that both TPCK and Bay-11 7082-treatment leads to decreased NF-κB nuclear activity and that this is associated with sensitization of chemoresistant Burkitt lymphoma cells. Furthermore we investigated global transcriptional changes induced by Bay-11 7082 and TPCK in the DG-75 and Raji cell lines, respectively, by microarray analysis using Illumina BeadChips. TPCK-treatment of Raji and DG-75 cells resulted in 59 and 21 differently expressed genes, respectively, while Bay-11-treated Raji and DG-75 cells displayed 1403 and 8 differently expressed genes, respectively. Gene Ontology (GO) categorization confirmed enrichment of multiple GOs in Bay 11-treated Raji and DG-75 cells. Fifty percent of the 61 categories in Raji cells were categories sorting under Biological Processes and represented mostly increased gene expression. In DG-75 cells Bay-11 7082 induced significant gene ontology enrichment in only two categories, where the increased/decreased ratio was 1:1. Further unsupervised and supervised bioinformatics processing by Ingenuity Pathway Analysis indicated significant networks in response to TPCK and Bay 11 respectively, including association to NF-κB. Bay-11 7082 demonstrated deregulated NF-κB related members of receptor mediated cell death signaling, i.e TRAF2 and TRADD, as well as deregulated members of the NF-κB signaling pathway from the cytoplasmic compartment, i.e RELB, in Raji cells. Comparably NF-κB network analysis of Raji- and DG-75 cells treated with Bay-11 7082 and Raji cells treated with TPCK demonstrated deregulation of NF-κB target genes CD69 and IL8. These data indicates that NF-kB may play a role in overcoming chemoresistance in BL cells with defective classical apoptosis signaling.
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Project description:Abiotic stresses disturb and limit nitrogen-fixing symbioses between rhizobia and their host legumes. In particular, the effect of extracellular acidity on rhizobia has been taken as a model example for analysis because of the economic impact and worldwide distribution of these symbionts in agricultural countries. Except for valuable molecular-biological studies on different rhizobia, no consolidated models have been formulated to describe the central physiologic changes that occur in acid-stressed bacteria. We present here an integrated analysis entailing the main cultural, metabolic, and molecular responses of the model bacterium Sinorhizobium meliloti growing under controlled acid stress in a chemostat. A stepwise extracellular acidification of the culture medium had indicated that S. meliloti stopped growing at ca. pH 6.0â??6.1. Under such a limiting acid stress the rhizobia increased the O2 consumption per cell by more than 5-fold. This phenotype, together with an increase in the transcripts for several membrane cytochromes, entails a remarkably higher aerobic-respiration rate in acid-stressed rhizobia. Changes in the transcripts encoding enzymes for lipid biosynthesis were also observed, consistent with previous data on rhizobial pH-dependent membrane remodelling. Together with increased energy demands under acidity, proteomic and transcriptomic data revealed that while at pH 7.0 the transport and biosynthesis of cellular compounds were quite active processes, under acid stress most overexpressed markers were associated with protein biosynthesis, macromolecular degradation and/or recycling, and energy metabolism. Within this context, the pentose-phosphate pathway exhibited increases in several transcripts, enzymes, and metabolites. Moreover, multivariate analysis of global metabolome data (more than 60 compounds) served to unequivocally correlate the specific-metabolite profiles with the extracellular pH for growth, with strikingly sensitive variations being observed in the rhizobial metabolomes upon extracellular-pH changes of less than 0.5 units. Except for a ca. 120-kb DNA stretch within the pSymA no specific genomic regions were associated with the observed acid-stress responses. Further practical analyses should be focussed on the phenotypic impact and time course of the observed changes during the acid-stress perception and on the search for common responses during the previously described sublethal acid-adaptive processes in rhizobia pH 6.1 vs pH 7
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