Endophytic strains
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA529642 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SPVI01.dat.gz | Other | |||
| SPVI01.fasta.gz | Fasta.gz | |||
| SPVI01.master.dat | Other | |||
| SRR8799902_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 6 |
Similar Datasets
Project description:Tongue squamous cell carcinoma (TSCC) varies in characteristics even in early stages and is mainly classified into three subtypes, which are superficial, exophytic and endophytic types, based on a macroscopic appearance of tumor growth.Of these subtypes, endophytic tumor has a poorer prognosis because of its invasive feature and higher frequency to have metastasis. To understand a molecular mechanism of endophytic subtype and identify biomarkers, we performed comprehensive microarray analysis for mRNAs from clinical biopsy sampleswhich were classified into subtypes and found overexpression of parvin-beta (PARVB) gene significantly related to endophytic type. PARVB is known to play a critical role in actin reorganization and focal adhesions. Knocking down PARVB expression in vitrocaused apparent decreases in cell migration and wound healing, implying that PARVB has a crucial role in cellular motility. Moreover, metastasis-free survival was significantly lowered in patients with higher PARVB expression. Therefore overexpression of PARVB is a candidate biomarker for endophytic tumor and metastasis and may be clinically applicable for decision making of an adjuvant therapy in TSCC. Twenty seven OCT embedded tissues were used to extract total RNA. Then RNAs were amplified, biotinylated, fragmented and hybridized on GeneChip Human Genome U133 plus 2.0 arrays.
2015-12-31 | E-GEOD-52915 | biostudies-arrayexpress
Project description:Genome Sequencing and Assembly of Endophytic microbes from Tea (Camellia sp.) clones
| PRJNA842704 | ENA
Project description:Tongue squamous cell carcinoma (TSCC) varies in characteristics even in early stages and is mainly classified into three subtypes, which are superficial, exophytic and endophytic types, based on a macroscopic appearance of tumor growth.Of these subtypes, endophytic tumor has a poorer prognosis because of its invasive feature and higher frequency to have metastasis. To understand a molecular mechanism of endophytic subtype and identify biomarkers, we performed comprehensive microarray analysis for mRNAs from clinical biopsy sampleswhich were classified into subtypes and found overexpression of parvin-beta (PARVB) gene significantly related to endophytic type. PARVB is known to play a critical role in actin reorganization and focal adhesions. Knocking down PARVB expression in vitrocaused apparent decreases in cell migration and wound healing, implying that PARVB has a crucial role in cellular motility. Moreover, metastasis-free survival was significantly lowered in patients with higher PARVB expression. Therefore overexpression of PARVB is a candidate biomarker for endophytic tumor and metastasis and may be clinically applicable for decision making of an adjuvant therapy in TSCC.
2015-12-31 | GSE52915 | GEO
Project description:Endophytic fungi on the roots of Stipa Genome sequencing and assembly
| PRJNA893447 | ENA
Project description:Dickeya strains genome sequencing and assembly
| PRJNA639323 | ENA
Project description:Sugarcane plantlets from a variety with high inputs of N obtained from BNF (genotype SP70-1143, CTC, Brazil) free of microorganisms were obtained by sterile meristem culture and micropropagation according to the method of Hendre et al. (1983). In vitro-grown SP70-1143 rooted sugarcane plantlets were inoculated as described by James et al. (1994) with 0.1 ml of 106–107 bacterial suspension. Controls were inoculated with medium only. Endophytic diazotrophic bacteria used were Gluconacetobacter diazotrophicus (PAL5 strain) or a mixture of Herbaspirillum seropedicae (HRC54 strain) and H. rubrisubalbicans (HCC103 strain). All plants were maintained at 30°C with an irradiance of 60 µmol photons m–2 s–1 for 12 h d–1. One day after the inoculation, plant tissues were examined for bacterial colonization by the Most Probable Number (MPN) estimation, according to the methods of Reis et al. (1994) and plantlets were collected and immediately frozen in liquid nitrogen. Five plantlets were polled for each treatment. Extraction of total RNA was performed separately on each sample pool. Keywords: comparison of associations with different endophytic bacterias
2007-05-20 | GSE4970 | GEO
Project description:Under disease stress, activation of defense response in plants often comes with the cost of a reduction in growth and yield, which is referred as the growth-defense trade-off. The microorganisms which can be recruited by plants to mitigate the growth-defense trade-off are of great value in crop breeding. The proteomic, physiological and transcriptional profiling data offer insights into the molecular basis underlying the balancing between defense and growth in endophyte-rice symbiont. The findings provide an example for the endophyte-mediated modulation of growth-defense trade-offs in plants and indicated the promising application of endophytic actinobacterial strains in agriculture to breed “microbe-optimized crops”.
2022-02-17 | PXD026348 | Pride
Project description:Helicobacter pylori, which is known as pathogens of various gastric diseases, have many types of genome sequence variants. That is part of the reason why pathogenesis and infection mechanisms of the H. pylori-driven gastric diseases have not been well clarified yet. Here we performed a large-scale proteome analysis to profile the heterogeneity of the proteome expression of 7 H. pylori strains by using LC/MS/MS-based proteomics approach combined with a customized database consisting of non-redundant tryptic peptide sequences derived from full genome sequences of 52 H. pylori strains. The non-redundant peptide database enabled us to identify more peptides in the database search of MS/MS data, compared with a simply merged protein database. Using the approach we performed proteome analysis of genome-unknown strains of H. pylori in as large-scale as genome-known ones. Clustering of the H. pylori strains using the proteome profiling slightly differed from the genome profiling and more clearly divided the strains into two groups based on the isolated area. Furthermore, we also identified phosphorylated proteins and sites of the H. pylori strains and obtained phosphorylation motif located in the N-terminus, which are commonly observed in bacteria.
2018-12-28 | PXD011364 | JPOST Repository