gene expression omnibus database Search Results


gene expression omnibus geo  (Illumina Inc)
95
Illumina Inc gene expression omnibus geo
Overall study design. ( A ) We searched <t>GEO</t> <t>and</t> <t>BaseSpace</t> Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.
Gene Expression Omnibus Geo, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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gene expression omnibus  (Biotechnology Information)
90
Biotechnology Information gene expression omnibus
Overall study design. ( A ) We searched <t>GEO</t> <t>and</t> <t>BaseSpace</t> Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.
Gene Expression Omnibus, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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gene expression omnibus - by Bioz Stars, 2026-03
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gene expression omnibus database  (Biotechnology Information)
90
Biotechnology Information gene expression omnibus database
Overall study design. ( A ) We searched <t>GEO</t> <t>and</t> <t>BaseSpace</t> Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.
Gene Expression Omnibus Database, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
gene expression omnibus database - by Bioz Stars, 2026-03
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gene expression omnibus (geo) repository as a seurat object (gse150674)  (Biotechnology Information)
90
Biotechnology Information gene expression omnibus (geo) repository as a seurat object (gse150674)
Overall study design. ( A ) We searched <t>GEO</t> <t>and</t> <t>BaseSpace</t> Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.
Gene Expression Omnibus (Geo) Repository As A Seurat Object (Gse150674), supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
gene expression omnibus (geo) repository as a seurat object (gse150674) - by Bioz Stars, 2026-03
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national center for biotechnical information gene database  (Biotechnical Services Inc)
90
Biotechnical Services Inc national center for biotechnical information gene database
Overall study design. ( A ) We searched <t>GEO</t> <t>and</t> <t>BaseSpace</t> Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.
National Center For Biotechnical Information Gene Database, supplied by Biotechnical Services Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/national center for biotechnical information gene database/product/Biotechnical Services Inc
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national center for biotechnical information gene database - by Bioz Stars, 2026-03
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gene expression omnibus accession gse70797  (Biotechnology Information)
90
Biotechnology Information gene expression omnibus accession gse70797
Overall study design. ( A ) We searched <t>GEO</t> <t>and</t> <t>BaseSpace</t> Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.
Gene Expression Omnibus Accession Gse70797, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/gene expression omnibus accession gse70797/product/Biotechnology Information
Average 90 stars, based on 1 article reviews
gene expression omnibus accession gse70797 - by Bioz Stars, 2026-03
90/100 stars
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gene expression omnibus (geo) database  (Biotechnology Information)
90
Biotechnology Information gene expression omnibus (geo) database
Overall study design. ( A ) We searched <t>GEO</t> <t>and</t> <t>BaseSpace</t> Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.
Gene Expression Omnibus (Geo) Database, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/gene expression omnibus (geo) database/product/Biotechnology Information
Average 90 stars, based on 1 article reviews
gene expression omnibus (geo) database - by Bioz Stars, 2026-03
90/100 stars
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gene expression omnibus (geo) dataset gse15081  (Biotechnology Information)
90
Biotechnology Information gene expression omnibus (geo) dataset gse15081
Overall study design. ( A ) We searched <t>GEO</t> <t>and</t> <t>BaseSpace</t> Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.
Gene Expression Omnibus (Geo) Dataset Gse15081, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/gene expression omnibus (geo) dataset gse15081/product/Biotechnology Information
Average 90 stars, based on 1 article reviews
gene expression omnibus (geo) dataset gse15081 - by Bioz Stars, 2026-03
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ncbi gene expression omnibus  (Fangman Specialties)
90
Fangman Specialties ncbi gene expression omnibus
Overall study design. ( A ) We searched <t>GEO</t> <t>and</t> <t>BaseSpace</t> Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.
Ncbi Gene Expression Omnibus, supplied by Fangman Specialties, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/ncbi gene expression omnibus/product/Fangman Specialties
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ncbi gene expression omnibus - by Bioz Stars, 2026-03
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gene expression omnibus (geo) accession number gse201398  (Biotechnology Information)
90
Biotechnology Information gene expression omnibus (geo) accession number gse201398
Overall study design. ( A ) We searched <t>GEO</t> <t>and</t> <t>BaseSpace</t> Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.
Gene Expression Omnibus (Geo) Accession Number Gse201398, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/gene expression omnibus (geo) accession number gse201398/product/Biotechnology Information
Average 90 stars, based on 1 article reviews
gene expression omnibus (geo) accession number gse201398 - by Bioz Stars, 2026-03
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national center information (ncbi) gene expression omnibus (geo) dataset  (Biotechnology Information)
90
Biotechnology Information national center information (ncbi) gene expression omnibus (geo) dataset
Overall study design. ( A ) We searched <t>GEO</t> <t>and</t> <t>BaseSpace</t> Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.
National Center Information (Ncbi) Gene Expression Omnibus (Geo) Dataset, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/national center information (ncbi) gene expression omnibus (geo) dataset/product/Biotechnology Information
Average 90 stars, based on 1 article reviews
national center information (ncbi) gene expression omnibus (geo) dataset - by Bioz Stars, 2026-03
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gene expression omnibus identifier gse163952  (Biotechnology Information)
90
Biotechnology Information gene expression omnibus identifier gse163952
Overall study design. ( A ) We searched <t>GEO</t> <t>and</t> <t>BaseSpace</t> Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.
Gene Expression Omnibus Identifier Gse163952, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/gene expression omnibus identifier gse163952/product/Biotechnology Information
Average 90 stars, based on 1 article reviews
gene expression omnibus identifier gse163952 - by Bioz Stars, 2026-03
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Image Search Results


Overall study design. ( A ) We searched GEO and BaseSpace Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.

Journal: International Journal of Molecular Sciences

Article Title: Physical Activity Rewires the Human Brain against Neurodegeneration

doi: 10.3390/ijms23116223

Figure Lengend Snippet: Overall study design. ( A ) We searched GEO and BaseSpace Correlation Engine (BSCE) databases for brain transcriptomic studies from subjects who engaged in different levels of physical activity and individuals with neurodegenerative diseases, including Alzheimer’s (AD), Parkinson’s (PD), Huntington’s diseases (HD), and frontotemporal dementia (FTD). Studies that met our inclusion/exclusion criteria were analyzed further. ( B ) Dataset GSE110298 containing brain transcriptomic data from aged cognitively intact individuals who engaged in different physical activity levels were analyzed by SWIM software to identify switch genes. Pathway and transcription factor analyses were performed in NetworkAnalyst. Gene ontology associations of switch genes were retrieved from HUGO database. Transcriptomic hippocampal data from subjects engaged in high and moderate physical activity were compared to those engaged in low physical activity using the meta-analysis and correlation engine tool in BSCE. Using this tool, we compared the transcriptome of physically active subjects with patients with neurodegenerative diseases to identify shared and unique pathways affected by physical activity.

Article Snippet: We searched the Gene Expression Omnibus (GEO) and BaseSpace Correlation Engine (BSCE, Illumina, Inc., San Diego, CA, USA) databases to identify microarrays from aged cognitively intact individuals who engaged in physical activity and subjects with neurodegenerative diseases.

Techniques: Activity Assay, Software