Ontology highlight
ABSTRACT:
PROVIDER: PRJNA991336 | ENA |
REPOSITORIES: ENA
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Project description:Tumor-infiltrating T lymphocytes (TILS) plays a pivotal role in immunotherapy, but the dynamic relationships of the T cells reacted on the therapy remains elusive. T cell receptor (TCR) repertoire, serving as lineage tags, could track these tumor-infiltrating T lymphocytes. Here, in order to deconvolve TILS heterogeneity after therapy in a comprehensive catalog, we presented single T-cell analysis by RNA-seq and TCR tracking of a 22,590 T cells from colorectal carcinoma under control conditions and during Stellera chamaejasme and anti-PD-1 activation. We reveal a highly complex microenvironment which profoundly molds T lymphocytes, as well as the combinatorial impact of TCR utilization on phenotypic diversity. scRNA-seq identified distinct CD8 T cells subtypes CD8 naïve and CD8 cytoxic cells(CD8 CTL), also, CD4 T cell subpopulations Regulatory T(Tregs) cells and T helper cell 17(Th-17). Stellera chamaejasme activation triggered CTSW, ICOS, etc. in CD8 T cells, whose the dramatic differentiation into from a single time point. At the same time, Stellera chamaejasme plus anti-PD-1 therapy have a strikingly effect on the balance between Tregs and Th-17. Our integrated analyses provide a powerful avenue to disclose the TILS in CRC based on TCR and demonstrate novel functional interactions among TILS subpopulations during Stellera chamaejasme plus anti-PD-1 therapy.
2024-10-29 | GSE186854 | GEO
Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method. Triplicate samples were taken for both rhizosphere and bulk soil, in which each individual sample was a pool of four plants or soil cores. To determine the abundance of functional genes in the rhizosphere and bulk soils, GeoChip 3.0 was used.
2014-09-12 | E-GEOD-61338 | biostudies-arrayexpress
Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method. Triplicate samples were taken for both rhizosphere and bulk soil, in which each individual sample was a pool of four plants or soil cores. To determine the abundance of functional genes in the rhizosphere and bulk soils, GeoChip 3.0 was used.
2014-12-10 | E-MTAB-2920 | biostudies-arrayexpress
Project description:Bacterial wilt caused by Ralstonia solanacearum is a lethal, soil-borne disease of tomato. Control of the disease with chemicals and crop rotation is insufficient, because the pathogen is particularly well adapted for surviving in the soil and rhizosphere. Therefore, cultivar resistance is the most effective means for controlling bacterial wilt, but the molecular mechanisms of resistance responses remain unclear. We used microarrays to obtain the characteristics of the gene expression changes that are induced by R. solanacearum infection in resistant cultivar LS-89 and susceptible cultivar Ponderosa.
2012-10-06 | GSE31807 | GEO
Project description:The melting of permafrost and its potential impact on greenhouse gas emissions is a major concern in the context of global warming. The fate of the carbon trapped in permafrost will largely depend on soil physico-chemical characteristics, among which are the quality and quantity of organic matter, pH and water content, and on microbial community composition. In this study, we used microarrays and real-time PCR (qPCR) targeting 16S rRNA genes to characterize the bacterial communities in three different soil types representative of various Arctic settings. The microbiological data were linked to soil physico-chemical characteristics and CO2 production rates. Microarray results indicated that soil characteristics, and especially the soil pH, were important parameters in structuring the bacterial communities at the genera/species levels. Shifts in community structure were also visible at the phyla/class levels, with the soil CO2 production rate being positively correlated to the relative abundance of the Alphaproteobacteria, Bacteroidetes, and Betaproteobacteria. These results indicate that CO2 production in Arctic soils does not only depend on the environmental conditions, but also on the presence of specific groups of bacteria that have the capacity to actively degrade soil carbon.
2011-01-01 | GSE24800 | GEO