Transcriptome analysis of olive mesocarps during olive fruit maturation
Ontology highlight
ABSTRACT:
ORGANISM(S): Olea europaea
PROVIDER: GSE287701 | GEO | 2025/09/10
REPOSITORIES: GEO
Similar Datasets
Project description:A comparative transcriptomics approach was used as a tool to unravel gene regulatory networks underlying salinity response in olive trees by simulating as much as possible olive growing conditions in the field. Specifically, we investigated the genotype-dependent differences in the transcriptome response of two olive cultivars, a salt tolerant and a salt sensitive. A 135 day long comparative salinity experiment was conducted using one year old trees exposed to NaCl stress for 90 days followed by 45 days of post-stress period. Total RNA was extracted from the root samples after 15, 45 and 90 days of NaCl-treated and un-treated olive trees as well as after 15 and 45 days of post-treatment period and used for microarray hybridizations using a loop design. Hierarchical clustering of differentially expressed transcripts revealed two major, distinct clusters for each cultivar. Despite the limited number of probe set, transcriptional regulatory networks were constructed for the salt-tolerant and salt-sensitive cultivar. The comparison of the salt responsive transcriptional regulatory networks in olive with those reported for Arabidopsis suggests that a tree species might respond in a similar to Arabidopsis way at the transcriptome level under salinity stress.
2012-11-20 | GSE36197 | GEO
Project description:A transcriptomics approach was used as a tool to unravel gene regulatory network underlying salinity response in a salt-tolerant olive cultivar (cv. Kalamon) by simulating as much as possible olive growing conditions in the field. A 135 day long salinity experiment was conducted using one year old trees exposed to NaCl stress for 90 days followed by 45 days of post-stress period. Total RNA was extracted from the root samples after 15, 45 and 90 days of NaCl-treated and un-treated olive trees as well as after 15 and 45 days of post-treatment period and used for microarray hybridizations using a loop design. Hierarchical clustering of differentially expressed transcripts revealed two major, distinct clusters. Despite the limited number of probe set, a transcriptional regulatory networks was constructed for the salt-tolerant cultivar.
2012-11-20 | GSE36196 | GEO
Project description:Proteins and peptides are minor components of vegetal oils. The presence of these compounds in virgin olive oil was first reported in 2001, but the nature of the olive oil proteome is still a puzzling question for food science researchers. In this project, we have compiled for a first time a comprehensive proteomic dataset of olive fruit and fungal proteins that are present at low but measurable concentrations in a vegetable oil from a crop of great agronomical relevance as olive (Olea europaea L.). Accurate mass nLC-MS data were collected in high definition direct data analysis (HD-DDA) mode using the ion mobility separation step. Protein identification was performed using the Mascot Server v2.2.07 software (Matrix Science) against an ad hoc database made of olive protein entries. Starting from this proteomic record, the impact of these proteins on olive oil stability and quality could be tested. Moreover, the effect of olive oil proteins on human health and their potential use as functional food components could be also evaluated. In addition, this dataset provides a resource for use in further functional comparisons across other vegetable oils, and also expands the proteomic resources to non-model species, thus also allowing further comparative inter-species studies.
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Project description:To investigate the transcriptional effects of ozonated olive oil, we performed a comprehensive gene expression analysis of B16F10 murine melanoma cells treated with either ozonated olive oil or olive oil as a control.
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Project description:A comparative transcriptomics approach was used as a tool to unravel gene regulatory networks underlying salinity response in olive trees by simulating as much as possible olive growing conditions in the field. Specifically, we investigated the genotype-dependent differences in the transcriptome response of two olive cultivars, a salt tolerant and a salt sensitive. A 135 day long comparative salinity experiment was conducted using one year old trees exposed to NaCl stress for 90 days followed by 45 days of post-stress period. Total RNA was extracted from the root samples after 15, 45 and 90 days of NaCl-treated and un-treated olive trees as well as after 15 and 45 days of post-treatment period and used for microarray hybridizations using a loop design. Hierarchical clustering of differentially expressed transcripts revealed two major, distinct clusters for each cultivar. Despite the limited number of probe set, transcriptional regulatory networks were constructed for the salt-tolerant and salt-sensitive cultivar. The comparison of the salt responsive transcriptional regulatory networks in olive with those reported for Arabidopsis suggests that a tree species might respond in a similar to Arabidopsis way at the transcriptome level under salinity stress. Five experimental time-points were analyzed: 15days stress, 45days stress, 90days stress, 15days post-stress and 45days post-stress. In each timepoint treated and untreated (control) samples were obtained. Dye swap hybridizations and 4 biological replicates were performed for each treatment/timepoint in a loop design experimental setup. Each sample included three spot replicates.
2012-11-20 | E-GEOD-36197 | biostudies-arrayexpress
Project description:A transcriptomics approach was used as a tool to unravel gene regulatory network underlying salinity response in a salt-tolerant olive cultivar (cv. Kalamon) by simulating as much as possible olive growing conditions in the field. A 135 day long salinity experiment was conducted using one year old trees exposed to NaCl stress for 90 days followed by 45 days of post-stress period. Total RNA was extracted from the root samples after 15, 45 and 90 days of NaCl-treated and un-treated olive trees as well as after 15 and 45 days of post-treatment period and used for microarray hybridizations using a loop design. Hierarchical clustering of differentially expressed transcripts revealed two major, distinct clusters. Despite the limited number of probe set, a transcriptional regulatory networks was constructed for the salt-tolerant cultivar. Five experimental time-points were analyzed: 15days stress, 45days stress, 90days stress, 15days post-stress and 45days post-stress. In each timepoint treated and untreated (control) samples were obtained. Dye swap hybridizations and 4 biological replicates were performed for each treatment/timepoint in a loop design experimental setup. Low-quality arrays were not included in the data analysis (36 arrays/samples submitted). Each sample included three spot replicates.
2012-11-20 | E-GEOD-36196 | biostudies-arrayexpress
Project description:Olive oil is protective against risk factors for cardiovascular and cancer diseases. A nutrigenomic approach was performed to assess whether olive oil, the main fat of the Mediterranean diet modifies the gene expression in human peripheral blood mononuclear cells. Six healthy male volunteers ingested, at fasting state, 50 ml of olive oil, and continued with the same olive oil as a source of raw fat (25ml/day) during 3 weeks. Prior to intervention a 1-week washout period with sunflower oil as the only source of fat was followed. During the 3 days before, and on the intervention day, a very low phenolic compound diet was followed. At baseline (0h), at post ingestion (6h), and at fasting state after 3 weeks of sustained consumption of olive oil total RNA was isolated from PBMC. Gene expression was evaluated by microarray and verified by qRT-PCR. Keywords: Olive oil, gene expression, single dose, sustained consumption
2008-02-21 | GSE10590 | GEO
Project description:Transcriptome analysis of olive mesocarps during olive fruit maturation
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