Similar Datasets
Project description:A comprehensive landscape of epigenomic events regulated by the Reelin signaling through activation of specific cohort of cis-regulatory enhancer elements (LRN-enhancers), which involves the proteolytical processing of the LRP8 receptor by the gamma-secretase activity and is required for learning and memory behavior All ChIP-Seq experiments were designed to understand the unique signature and function of LRN-enhancers in signaling pathways of learning and memory.
2015-04-29 | E-GEOD-66701 | biostudies-arrayexpress
Project description:We used a combination of ChIPseq, RNAseq, bioinformatic analysis, and molecular biology in the auditory forebrain, a brain area required for tutor song memorization to elucidate the role epigenetics plays in song learning. These analyses revealed thousands of genes were differentially marked by PTMs under these two conditions, indicating greater transcription in the birds with extended learning.
2018-05-29 | GSE91399 | GEO
Project description:Gene expression profiles were generated from 199 primary breast cancer patients. Samples 1-176 were used in another study, GEO Series GSE22820, and form the training data set in this study. Sample numbers 200-222 form a validation set. This data is used to model a machine learning classifier for Estrogen Receptor Status. RNA was isolated from 199 primary breast cancer patients. A machine learning classifier was built to predict ER status using only three gene features.
2013-01-01 | E-GEOD-29210 | biostudies-arrayexpress
Project description:Neurons utilize glucose to generate adenosine triphosphate (ATP) essential for their survival, excitability and synaptic signaling, as well as initiating changes in neuronal structure and function. Defects in oxidative metabolism and mitochondria functions are also associated with aging and diverse human neurological diseases1-4. While neurons are known to adapt their metabolism to meet the increased energy demands of complex behaviors such as learning and memory, the molecular underpinnings regulating this process remain poorly understood4-6. Here we show that the orphan nuclear receptor estrogen related receptor gamma (ERRγ) becomes highly expressed during retinoic-acid induced neurogenesis and is widely expressed in neuronal nuclei throughout the brain. Mechanistically, we show that ERRγ directly orchestrates the expression of networks of genes involved in mitochondrial oxidative phosphorylation and energy generation in neurons. The importance of this regulation is evidenced by decreased adaptive metabolic capacity in cultured neurons lacking ERRγ, and reduced long-term potentiation (LTP) in ERRγ-/- hippocampal slices. Notably, the defect in LTP was rescued by the metabolic intermediate pyruvate, functionally linking the ERRγ knockout metabolic phenotype and memory formation. Consistent with this notion, mice lacking neuronal ERRγ exhibit defects in spatial learning and memory. These findings implicate ERRγ in the metabolic adaptations required for long-term memory formation. We used ChIP-Seq analysis to determine the genome-wide binding of ERRγ in neurons derived from ES cells.
2015-09-03 | E-GEOD-47134 | biostudies-arrayexpress
Project description:A theoretical framework for the function of the medial temporal lobe system in memory defines differential contributions of the hippocampal subregions with regard to pattern recognition retrieval processes and encoding of new information. To investigate molecular programs of relevance, we designed a spatial learning protocol to engage a pattern separation function to encode new information. After background training, two groups of animals experienced the same new training in a novel environment, however only one group was provided spatial information and demonstrated spatial memory in a retention test. Global transcriptional analysis of the microdissected subregions of the hippocampus exposed a CA3 pattern that was sufficient to clearly segregate spatial learning animals from control. Individual gene and functional group analysis anchored these results to previous work in neural plasticity. From a multitude of expression changes, increases in camk2a, rasgrp1 and nlgn1 were confirmed by in situ hybridization. Furthermore, siRNA inhibition of nlgn1 within the CA3 subregion impaired spatial memory performance, pointing to mechanisms of synaptic remodeling as a basis for rapid encoding of new information in long-term memory. Experiment Overall Design: RNA samples from animals subjected to a spatial learning paradigm were compared to controls using Affymetirx RAE230a chips. An N of 7 was used in each of the two experimental conditions.
2008-06-18 | E-GEOD-11475 | biostudies-arrayexpress
Project description:Comparisons of hippocampi of Syracuse High Avoidance (SHA) and Syracuse Low Avoidance (SLA) learning rats Keywords: other
2003-12-31 | GSE932 | GEO
Project description:While motor cortex is crucial for the learning of precise and reliable movements, whether astrocytes contribute to its plasticity and function during motor learning is unknown. Here we report that primary motor cortex (M1) astrocytes in mice show gene expression changes associated with learning a cued lever-push task, including changes in glutamate transport genes
2022-01-19 | GSE156661 | GEO
Project description:A theoretical framework for the function of the medial temporal lobe system in memory defines differential contributions of the hippocampal subregions with regard to pattern recognition retrieval processes and encoding of new information. To investigate molecular programs of relevance, we designed a spatial learning protocol to engage a pattern separation function to encode new information. After background training, two groups of animals experienced the same new training in a novel environment, however only one group was provided spatial information and demonstrated spatial memory in a retention test. Global transcriptional analysis of the microdissected subregions of the hippocampus exposed a CA3 pattern that was sufficient to clearly segregate spatial learning animals from control. Individual gene and functional group analysis anchored these results to previous work in neural plasticity. From a multitude of expression changes, increases in camk2a, rasgrp1 and nlgn1 were confirmed by in situ hybridization. Furthermore, siRNA inhibition of nlgn1 within the CA3 subregion impaired spatial memory performance, pointing to mechanisms of synaptic remodeling as a basis for rapid encoding of new information in long-term memory. Experiment Overall Design: RNA samples from animals subjected to a spatial learning paradigm were compared to controls using Affymetirx RAE230a chips. An N of 6 was used in each of the two experimental conditions.
2008-06-18 | E-GEOD-11474 | biostudies-arrayexpress
Project description:Experience-dependent gene expression reshapes neural circuits, permitting learning of knowledge and skills. However, the diversity of plasticity-related transcriptional responses across neurons underlying learning remains poorly understood. Here, we analyzed single-nucleus transcriptomes of L2/3 glutamatergic neurons of the primary motor cortex after motor skill training or home-cage control in water-restricted mice.
2024-02-15 | GSE224686 | GEO
Project description:Reported here are the transcriptomic changes resulting from learning, in the brain of an anuran amphibian. RNA sequencing was utilized to investigate temporal gene expression patterns resulting from conditioned learning in the fire-bellied toad, Bombina orientalis. As a basal tetrapod lineage, B. orientalis represents a robust candidate for investigating the evolution of molecular mechanisms underlying learning in vertebrates. Differential expression following learning reveled activity in molecular pathways related to immediate early gene expression, cytoskeletal modification, axon guidance activity, and apoptotic processes. Learning in the fire-bellied toad is characterized by early IEG activity coinciding with transcriptional activity and structural modification, followed by axon guidance and adhesion activity, and late neural pruning.
2020-01-01 | GSE135054 | GEO