Maleae
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB17313 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:we performed RNA-seq and pathways analysis on human preadipocytes isolated from abdominal (A) and gluteofemoral (GF) fat of 10 apple-shaped women and 7 pear-shaped women . Out of the 23,511 annotated transcripts, 636 and 752 genes were differentially expressed in apple- compared to pear-shaped cells in A-FAT and GF-FAT respectively. Interestingly, one of the most significantly over-represented pathways from the apple-specific gene list was “Nucleotide Excision Repair pathway”.
2021-08-19 | GSE176603 | GEO
Project description:Our data showed that lipid and glucose metabolic pathways genes were expressed at higher levels in gluteofemoral adipocyte fraction in pears, while genes associated with inflammation were higher in both abdominal and gluteofemoral apple adipocyte fraction. Gluteofemoral adipocyte chromatin from pear-shaped women contained a significantly higher number of differentially open ATAC-seq peaks relative to chromatin from the apple-shaped gluteofemoral adipocytes. In contrast, abdominal adipocyte chromatin openness showed few differences between apple and pear-shaped women. We revealed a correlation between gene transcription and open chromatin at the proximity of the TSS of some of the differentially expressed genes.
2020-06-08 | GSE143449 | GEO
Project description:Our data showed that lipid and glucose metabolic pathways genes were expressed at higher levels in gluteofemoral adipocyte fraction in pears, while genes associated with inflammation were higher in both abdominal and gluteofemoral apple adipocyte fraction. Gluteofemoral adipocyte chromatin from pear-shaped women contained a significantly higher number of differentially open ATAC-seq peaks relative to chromatin from the apple-shaped gluteofemoral adipocytes. In contrast, abdominal adipocyte chromatin openness showed few differences between apple and pear-shaped women. We revealed a correlation between gene transcription and open chromatin at the proximity of the TSS of some of the differentially expressed genes.
2020-06-08 | GSE143448 | GEO
Project description:Comparative analyze at the transcriptomic level 1) of Venturia pyrina pear host resistance via the major apple resistance gene Rvi6, in Rvi6 overexpressing transgenic pear versus ‘conference’ susceptible variety; 2) of Venturia inaequalis pear nonhost resistance, in ‘Conference’ variety, 24 and 72 hours post inoculation.
2020-10-08 | GSE159180 | GEO
Project description:Fire blight (FB) is a bacterial disease affecting plants from Rosaceae family, including apple and pear. FB develops after the infection of Erwinia amylovora, gram-negative enterobacterium, and results in burnt-like damages and wilting, which can affect all organs of the plant. Although the mechanisms underlying disease response in apples are not elucidated yet, it has been well described that FB resistance depends on the rootstock type. The main objective of this work was to identify miRNAs involved in response to bacterial infection in order to better explain apple defense mechanisms against fire blight disease. We performed deep sequencing of eighteen small RNA libraries obtained from inoculated and non-inoculated Gala apple leaves. 233 novel plant mature miRNAs were identified together with their targets and potential role in response to bacterial infection. We identify three apple miRNAs responding to inoculation (mdm-miR168a,b, mdm-miR194C and mdm-miR1392C) as well as miRNAs reacting to bacterial infection in a rootstock-specific manner (miR395 family). Our results provide insights into the mechanisms of fire blight resistance in apple.
2016-08-28 | GSE72346 | GEO
Project description:Plant-based diets could be a key source of microRNAs in animals. Plant microRNAs are cross-kingdom gene expression regulators that could modulate mammalian gene expression, influencing their physiology. Therefore, it is important to identify the microRNA expression profile of plant foods in order to identify potential target genes and biological functions in the mammalian host. Next-generation sequencing was applied to identify microRNAs in RNA samples derived from nuts (walnut and almond), vegetables (spinach) and fruits (orange, apple, olive, pear, and tomato). Our data revealed that edible plant contain a large number and diverse type of microRNAs.
2023-09-05 | GSE234786 | GEO
Project description:This dataset relates to a proteomic analysis of Ave1 homologs in the fungal pathogens Venturia pirina and Venturia inequalis. These species are the cause of scab disease on European pear (Pyrus communis) and apple (Malus pumila). Sample preparation for both V. pirina and V. inequalis was designed to focus on effectors and eliminate host proteins. To do this the fungi were grown in vitro, on cellophane sheets mimicing the growth habit in infected leaves and proteins were extracted using a gentle washing procedure designed to avoid cell wall breakage. LC-MS/MS data was queried against a protein database generated from gene predictions obtained from whole genome sequences of V. pirina and V. inequalis.
2022-03-02 | PXD005614 | Pride
Project description:The goal of this study was to use metabolomics as a platform to elucidate the chemical composition of plants in order to increase their resolution and in turn use the identified chemicals to reveal potential health impacts. 20 plant foods were studied: apple, banana, tomato, lettuce, strawberry, carrot, peach, onion, spinach, pepper, corn, garlic, basil, potato, soybean, black bean, olive, chickpea, sugarbeet, and pear.
2023-02-21 | ST002492 | MetabolomicsWorkbench
Project description:Bacteria in the floral nectar of apple and pear
| PRJNA488015 | ENA