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Whole genome transcriptome data from the WT cortex and hippocampus of female and male control and APP/PS1 Alzheimer's disease mice

A variety of Alzheimer disease (AD) mouse models has been established and characterized within the last decades. These models are generated to meet the principal criteria of AD isomorphism, homology and predictability to a maximum extent. To get an integrative view of the sophisticated etiopathogene...

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Autores principales: Papazoglou, Anna, Henseler, Christina, Weickhardt, Sandra, Daubner, Johanna, Schiffer, Teresa, Broich, Karl, Hescheler, Jürgen, Ehninger, Dan, Scholl, Catharina, Haenisch, Britta, Sachinidis, Agapios, Weiergräber, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520298/
https://www.ncbi.nlm.nih.gov/pubmed/37767130
http://dx.doi.org/10.1016/j.dib.2023.109594
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author Papazoglou, Anna
Henseler, Christina
Weickhardt, Sandra
Daubner, Johanna
Schiffer, Teresa
Broich, Karl
Hescheler, Jürgen
Ehninger, Dan
Scholl, Catharina
Haenisch, Britta
Sachinidis, Agapios
Weiergräber, Marco
author_facet Papazoglou, Anna
Henseler, Christina
Weickhardt, Sandra
Daubner, Johanna
Schiffer, Teresa
Broich, Karl
Hescheler, Jürgen
Ehninger, Dan
Scholl, Catharina
Haenisch, Britta
Sachinidis, Agapios
Weiergräber, Marco
author_sort Papazoglou, Anna
collection PubMed
description A variety of Alzheimer disease (AD) mouse models has been established and characterized within the last decades. These models are generated to meet the principal criteria of AD isomorphism, homology and predictability to a maximum extent. To get an integrative view of the sophisticated etiopathogenesis of AD, whole genome transcriptome data analysis turns out to be indispensable. Here, we present a microarray-based transcriptome data collection based on RNA extracted from the retrosplenial (RS) cortex and the hippocampus of APP/PS1 AD mice and control animals. Experimental animals were age matched and importantly, both sexes were considered separately. Isolated RNA was purified, quantified und quality controlled prior to the hybridization procedure with SurePrint G3 Mouse Gene Expression v2 8 × 60K microarrays. Following immunofluorescent measurement und preprocessing/extraction of image data, raw transcriptome data were uploaded including differentially expressed gene candidates and related fold changes in APP/PS1 AD mice and controls. Our data allow further insight into alterations in gene transcript levels in APP/PS1 AD mice compared to controls and enable the reader/user to carry out complex transcriptome analysis to characterize potential age-, sex- and brain-region-specific alterations in e.g., neuroinflammatory, immunological, neurodegenerative and ion channel pathways.
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spelling pubmed-105202982023-09-27 Whole genome transcriptome data from the WT cortex and hippocampus of female and male control and APP/PS1 Alzheimer's disease mice Papazoglou, Anna Henseler, Christina Weickhardt, Sandra Daubner, Johanna Schiffer, Teresa Broich, Karl Hescheler, Jürgen Ehninger, Dan Scholl, Catharina Haenisch, Britta Sachinidis, Agapios Weiergräber, Marco Data Brief Data Article A variety of Alzheimer disease (AD) mouse models has been established and characterized within the last decades. These models are generated to meet the principal criteria of AD isomorphism, homology and predictability to a maximum extent. To get an integrative view of the sophisticated etiopathogenesis of AD, whole genome transcriptome data analysis turns out to be indispensable. Here, we present a microarray-based transcriptome data collection based on RNA extracted from the retrosplenial (RS) cortex and the hippocampus of APP/PS1 AD mice and control animals. Experimental animals were age matched and importantly, both sexes were considered separately. Isolated RNA was purified, quantified und quality controlled prior to the hybridization procedure with SurePrint G3 Mouse Gene Expression v2 8 × 60K microarrays. Following immunofluorescent measurement und preprocessing/extraction of image data, raw transcriptome data were uploaded including differentially expressed gene candidates and related fold changes in APP/PS1 AD mice and controls. Our data allow further insight into alterations in gene transcript levels in APP/PS1 AD mice compared to controls and enable the reader/user to carry out complex transcriptome analysis to characterize potential age-, sex- and brain-region-specific alterations in e.g., neuroinflammatory, immunological, neurodegenerative and ion channel pathways. Elsevier 2023-09-18 /pmc/articles/PMC10520298/ /pubmed/37767130 http://dx.doi.org/10.1016/j.dib.2023.109594 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Papazoglou, Anna
Henseler, Christina
Weickhardt, Sandra
Daubner, Johanna
Schiffer, Teresa
Broich, Karl
Hescheler, Jürgen
Ehninger, Dan
Scholl, Catharina
Haenisch, Britta
Sachinidis, Agapios
Weiergräber, Marco
Whole genome transcriptome data from the WT cortex and hippocampus of female and male control and APP/PS1 Alzheimer's disease mice
title Whole genome transcriptome data from the WT cortex and hippocampus of female and male control and APP/PS1 Alzheimer's disease mice
title_full Whole genome transcriptome data from the WT cortex and hippocampus of female and male control and APP/PS1 Alzheimer's disease mice
title_fullStr Whole genome transcriptome data from the WT cortex and hippocampus of female and male control and APP/PS1 Alzheimer's disease mice
title_full_unstemmed Whole genome transcriptome data from the WT cortex and hippocampus of female and male control and APP/PS1 Alzheimer's disease mice
title_short Whole genome transcriptome data from the WT cortex and hippocampus of female and male control and APP/PS1 Alzheimer's disease mice
title_sort whole genome transcriptome data from the wt cortex and hippocampus of female and male control and app/ps1 alzheimer's disease mice
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520298/
https://www.ncbi.nlm.nih.gov/pubmed/37767130
http://dx.doi.org/10.1016/j.dib.2023.109594
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