Ontology highlight
ABSTRACT:
PROVIDER: PRJNA760896 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Here we show that regions of the honeybee brain involved in visual processing and learning and memory show a genomic response to distance information. Using a method that separates effects of perceived distance from effects of actual distance flown, we found that individuals forced to shift from a short to a perceived long distance to reach a feeding site showed differences in gene expression in the optic lobes and mushroom bodies relative to individuals that continued to perceive flying a short distance.
2011-03-05 | E-TABM-910 | biostudies-arrayexpress
Project description:Increasing evidence suggests microRNAs (miRNAs) control levels of mRNA expression during development of the nervous system and during sensory elicited remodelling of the brain. We used an associative olfactory learning paradigm (proboscis extension response) in the honeybee Apis mellifera to detect gene expression changes in the brain. Transcriptome analysis of bees trained to associate an odor with a reward and control bees exposed to air without reward, helped us abstract mRNA-miRNA interactions for empirical testing. Functional studies, feeding cholesterol-conjugated antisense RNA to bees resulted in the inhibition of miR-210 and of miR-932 that is embedded within the neuroligin 2 (Nlg2) gene involved in synapse development. Loss of miR-932 prevents long-term memory formation but not learning. We validated 3M-bM-^@M-^YUTR target site interactions of miR-932 and show miR-932 dysregulates actin, a key cytoskeletal molecule involved in neuronal development and activity-dependent plasticity of the brain. The analysis used Air group (no odor learning) as control sample for comparison to two groups of odor-conditioned bees: linalool and floral mix.
2014-02-01 | E-GEOD-51795 | biostudies-arrayexpress
Project description:In this publication, researchers investigated the intricate relationship between breast cancers and their microenvironment, specifically focusing on predicting treatment responses using multi-omic machine learning model. They collected diverse data types including clinical, genomic, transcriptomic, and digital pathology profiles from pre-treatment biopsies of breast tumors. Leveraging this comprehensive multi-omic dataset, the team developed ensemble machine learning models using different algorithms (Logistic Regression, SVM and Random Forest). These predictive models identifies patients likely to achieve a pathological complete response (pCR) to therapy, showcasing their potential to enhance treatment selection.
Please note that the authors also have an interactive dashboard to apply the fully-integrated NAT response model on new (or any desired) data. The user can find its link in their GitHub repository: https://github.com/micrisor/NAT-ML
For more information and clarification, please refer to the ReadMe_NAT-ML document in the files section.
2023-08-28 | BIOMD0000001075 | BioModels
Project description:We performed an RNA Sequencing experiment on dorsal hippocampal tissue from four groups of animals: Baf53b+/- homecage (Baf53b+/- HC); Baf53b+/- behavior (Baf53b+/- Beh); wildtype homecage (WT HC); and wildtype behavior (WT Beh). Homecage animals were sacrificed directly from the animal's cage. Behavior animals were sacrificed thirty minutes following Object Location Memory training. The objective of this study was to examine activity regulated gene expression following a learning event (HC vs Beh) in wildtype and Baf53b+/- mutant mice. Examination of gene expression following a learning event in wildtype and Baf53b+/- mutant mice in dorsal hippocampus.
2013-03-24 | E-GEOD-44229 | biostudies-arrayexpress
Project description:The tight synchronization between the life cycle of the obligatory parasitic mite Varroa destructor (Varroa) and its host the honeybee, is mediated by honeybee chemical stimuli. These stimuli are mainly perceived by a pit organ located at the distal part of the mite’s foreleg. In the present study, we searched for Varroa chemosensory molecular components by comparing transcriptomic and proteomic profiles between forelegs from different physiological stages, and rear legs. In general, a comparative transcriptomic analysis showed a clear separation of the expression profiles between the rear legs and the three groups of forelegs (phoretic, reproductive and tray-collected mites). Most of the differentially expressed transcripts and proteins in the mite’s foreleg were previously uncharacterized. Using a conserved domain approach, we identified 54 transcripts with known chemosensory-related domains, of which 17 were significantly up regulated in the mite’s forelegs when compared to rear legs. We characterized the chemosensory transcripts using phylogenetic analysis.
2018-11-21 | PXD010042 | Pride
Project description:he brain is a vital organ in regulating complex social behaviors of honeybees including learning and memory. Knowledge of how brain membrane proteins and their phosphorylation underlie the age-related behavioral polyethism is still lacking. We presented the first comprehensive profiling and comparison of brain membrane proteome and phosphoproteome across different ages of adult worker bees in two strains of honeybee (Apis mellifera ligustica): Italian bee (ITB) and royal jelly bee (RJB), a line selected for increased RJ outputs over 4 decades.
2017-09-11 | PXD006823 | Pride