Transcriptional Profiling of Neuronal APP/APLP2 Double-Conditional Knockout Mice.
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Baiping Wang
PROVIDER: E-GEOD-48622 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Publications
Soluble amyloid precursor protein (APP) regulates transthyretin and Klotho gene expression without rescuing the essential function of APP.
Li Hongmei H Wang Baiping B Wang Zilai Z Guo Qinxi Q Tabuchi Katsuhiko K Hammer Robert E RE Südhof Thomas C TC Zheng Hui H
Proceedings of the National Academy of Sciences of the United States of America 20100920 40
Amyloidogenic processing of the amyloid precursor protein (APP) generates a large secreted ectodomain fragment (APPsβ), β-amyloid (Aβ) peptides, and an APP intracellular domain (AICD). Whereas Aβ is viewed as critical for Alzheimer's disease pathogenesis, the role of other APP processing products remains enigmatic. Of interest, the AICD has been implicated in transcriptional regulation, and N-terminal cleavage of APPsβ has been suggested to produce an active fragment that may mediate axonal prun ...[more]
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Project description:Gene expression analysis of 2-month-old APP/APLP2 double-conditional Knockout (N-dCKO) mice and littermate APLP2 knockout controls, APP knockout and wildtype controls.
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Project description:Amyloid precursor protein (APP) is associated with both familial and sporadic forms of Alzheimer’s disease. APP has two homologs, amyloid precursor-like protein 1 and 2 (APLP1 and APLP2), and they have functional redundancy. APP intracellular c-terminal domain (AICD), produced by sequential α- or β- and γ-secretase cleavages, is thought to control gene expression, similarly as the ICD of Notch. To investigate the role of APP family in transcriptional regulation, we examined gene expression changes in the cerebral cortex of APP/APLP1/APLP2 conditional triple knockout (cTKO) mice, in which APP family members are selectively inactivated in excitatory neurons of the postnatal forebrain. Of the 12 previously reported AICD target genes, only Nep and Npas4 mRNA levels were significantly reduced in the cerebral cortex of cTKO mice, compared to littermate controls. We further examined global transcriptional changes by RNA-seq and identified 189 and 274 differentially expressed genes in the neocortex and hippocampus, respectively, of cTKO mice relative to controls. Gene Ontology analysis indicated that these genes are involved in a variety of cellular functions, including extracellular organization, learning and memory, and ion channels. Thus, inactivation of APP family alters transcriptional profiles of the cerebral cortex and affects wide-ranging molecular pathways.
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Project description:The β-amyloid precursor protein APP and the related APLPs, undergo complex proteolytic processing giving rise to several fragments. Whereas it is well established that Aβ accumulation is a central trigger for Alzheimer disease (AD), the physiological role of APP family members and their diverse proteolytic products is still largely unknown. The secreted APPsα ectodomain has been shown to be involved in neuroprotection and synaptic plasticity. The γ-secretase generated APP intracellular domain AICD, functions as a transciptional regulator in heterologous reporter assays, although its role for endogenous gene regulation has remained controversial. To gain further insight into the molecular changes associated with knockout phenotypes and to elucidate the physiological functions of APP family members including their proposed role as transcriptional regulators we performed a DNA microarray transcriptome profiling of the frontal cortex of adult wild type, APP-/-, APLP2-/- and APPsα knockin (KI) mice, APPα/α, expressing solely the secreted APPsα ectodomain. Biological pathways affected by the lack of APP family members included regulation of neurogenesis, regulation of transcription and regulation of neuron projection development. Comparative analysis of transcriptome changes and qPCR validation identified co-regulated gene sets. Interestingly, these included heat shock proteins and plasticity related genes that were down-regulated in knock-out cortices. In contrast, we failed to detect significant differences in expression of previously proposed AICD target genes including Bace1, Kai1, Gsk3b, p53, Tip60 and Vglut2. Only Egfr was slightly up-regulated in APLP2-/- mice. Comparison of APP-/- and APPα/α with wild-type mice revealed a high proportion of co-regulated genes indicating an important role of the C-terminus for cellular signaling. Finally, comparison of APLP2-/- on different genetic backgrounds revealed that background related transcriptome changes may dominate over changes due to the knockout of a single gene. Shared transcriptome profiles corroborated closely related physiological functions of APP family members in the adult central nervous system. As expression of proposed AICD target genes was not altered in adult cortex, this may indicate that these genes are not affected by lack of APP under resting conditions or only in a small subset of cells. Prefrontal cortices of adult male mice (24 - 28 weeks) of the following genotypes were analyzed: WT (n=3), APP-/- (n=3), APPα/α (n=3), APLP2-/- (n=3), APLP2(R1)-/- (n=3). WT, APP-/-, APPα/α, APLP2-/- had been backcrossed for six generations to C57BL/6 mice. APLP2(R1)-/- harbors the identical knockout allele as APLP2-/- but was back-crossed only once.
2011-03-18 | E-GEOD-25926 | biostudies-arrayexpress
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2014-08-12 | E-GEOD-31372 | biostudies-arrayexpress
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2012-01-01 | E-GEOD-26822 | biostudies-arrayexpress
Project description:Brain samples (left hippocampus) from APP/PS1 transgenic mice and wild-type littermate at 15-months were processed for simultaneous coding and non-coding RNA-Seq analysis using a novel RNA-Seq protocol. These data were then analyzed for differential expression.
2021-06-01 | GSE163878 | GEO
Project description:Our study aimed to investigate the biological impact of forebrain neuron-specific farnesyltransferase knockout in a transgenic APP/PS1 Alzheimer's disease model.
2021-08-02 | GSE174314 | GEO
Project description:γδ T cells are lymphocytes that function in both innate and adaptive immune responses, and our laboratory has previously reported that both bovine and human γδ T cells are primed for secondary responses by tannin components of the unripe apple peel (APP). In this report we began to investigate the mechanism by which priming occurs. We performed a microarray analysis on sorted bovine γδ T cells treated with APP and observed significant increases in transcripts encoding select inflammatory cytokines, such as GM-CSF, IL-8, and IL-17, but not markers of TCR stimulation such as IFNγ. When injected into the gut of mice, APP induced a robust influx of neutrophils into both the blood and peritoneum as measured by FACS. Importantly, both GM-CSF and IL-8 proteins were detected in these animals. Further studies were performed using the human γδ T cell-line MOLT-14, as large numbers of cells were required for subsequent experiments. Using these cells we found that both the GM-CSF and IL-8 mRNAs were significantly upregulated and stabilized in cells treated with APP. Finally, we show that the ERK1/2 MAPK pathway was activated in APP-treated MOLT-14 cells, and that this pathway plays a role in the mRNA stabilization we observed. Together, our data describe a unique inflammatory response in bovine, murine, and human γδ T cells in response to APP, and suggest that mRNA stability mechanisms could account for the priming phenotype we previously observed.APP has a distinctive gamma delta T cells specific priming activity. Keywords: comparison of 2 treatment types, tannin, gamma delta T cells To begin to understand the effects of APP in innate immunity, we investigated the global gene expression profiles of stimulated bovine gamma delta T cells. Peripheral blood from 2 neonatal bovine calves was collected. gamma delta T cells were sorted to >97% purity using a FACS Vantage. Cells were placed in culture and stimulated with either an aqueous extract of APP (42.2ug/ml) or PBS for 4 hours after which RNA was extracted and processed for microarray analysis following standard protocols from Affymetrix.
2010-08-10 | E-GEOD-13321 | biostudies-arrayexpress
Project description:RNAseq differential gene expression profiling of olfactory mucosa in young wild type, aged wild type, APP deficient, APLP2 deficient and PSEN2 deficient mice. Purpose: Next-generation gene expression profiling has revolutionized analysis of molecular pathways. The goals of this study were to compare NGS-derived olfactory mucosa transcriptome profiles (RNAseq) of aged wild-type mice, APP knockout mice, APLP2 knockout mice and PSEN2 knockout mice with young wild-type controls. Selected genes and pathways will be analyze further by low-throughput techniques such as real-time RT-PCR. Methods: Olfactory mucosa mRNA profiles of 2 months old wild-type (WT), 2 years old wild-type, APP knockout, APLP2 knockout and PSEN2 knockout mice were generated by deep sequencing, in triplicate, using Illumina NovaSeq6000 . For inspecting the quality of RNA-Seq data, the 100 most abundant genes are taken from all the samples and heatmaps were generated to observe the relation between samples/conditions. The sequence reads that passed the quality filters were analyzed at the transcript isoform level with TopHat followed by Cufflinks. Results: Using our data analysis workflow, we mapped at least 30 million sequence reads per sample to the mouse genome (build mm10) and identified approximately 25,867 transcripts in the olfactory epithelium of WT and genetically modified mice with TopHat workflow. RNAseq data confirmed stable expression of 20 known housekeeping genes, and 3 of them were validated with qRT-PCR. Approximately 20% of transcripts showed differential expression between WT and aged samples and 0.1-1.0 % showed differential expression between WT and genetically modified lines (fold change >1.5; p value < 0.05). Altered expression of 20 genes for aged samples and 10 genes for PS-deficient samples was confirmed by qRT-PCR, demonstrating the high degree of sensitivity of RNAseq approach. Conlusion: Our study represent the first detailed analysis of differential gene expression by RNAseq technology in murine olfactory mucosa in aged animals. It is also the first study examining effects of gene knockout for APP, APLP2 and PSEN2 on gene expression profile in murine olfactory mucosa. We conclude that these data would help future studies in olfactory mucosa cells aimed to reveal molecular mechanisms associated with aging and biological function of APP, APLP2 and PSEN2 genes. RNAseq differential gene expression profiling of olfactory mucosa in young wild type, aged wild type, APP deficient, APLP2 deficient and PSEN2 deficient mice. Purpose: Next-generation gene expression profiling has revolutionized analysis of molecular pathways. The goals of this study were to compare NGS-derived olfactory mucosa transcriptome profiles (RNAseq) of aged wild-type mice, APP knockout mice, APLP2 knockout mice and PSEN2 knockout mice with young wild-type controls. Selected genes and pathways will be analyze further by low-throughput techniques such as real-time RT-PCR. Methods: Olfactory mucosa mRNA profiles of 2 months old wild-type (WT), 2 years old wild-type, APP knockout, APLP2 knockout and PSEN2 knockout mice were generated by deep sequencing, in triplicate, using Illumina NovaSeq6000 . For inspecting the quality of RNA-Seq data, the 100 most abundant genes are taken from all the samples and heatmaps were generated to observe the relation between samples/conditions. The sequence reads that passed the quality filters were analyzed at the transcript isoform level with TopHat followed by Cufflinks. Results: Using our data analysis workflow, we mapped at least 30 million sequence reads per sample to the mouse genome (build mm10) and identified approximately 24,000 transcripts in the olfactory epithelium of WT and genetically modified mice with TopHat workflow. RNAseq data confirmed stable expression of 20 known housekeeping genes, and 3 of them were validated with qRT-PCR. Approximately 20% of transcripts showed differential expression between WT and aged samples and 0.1-1.0 % showed differential expression between WT and genetically modified lines (fold change >1.5; p value < 0.05). Altered expression of 20 genes for aged samples and 10 genes for PS-deficient samples was confirmed by qRT-PCR, demonstrating the high degree of sensitivity of RNAseq approach. Conlusion: Our study represent the first detailed analysis of differential gene expression by RNAseq technology in murine olfactory mucosa in aged animals. It is also the first study examining effects of gene knockout for APP, APLP2 and PSEN2 on gene expression profile in murine olfactory mucosa. We conclude that these data would help future studies in olfactory mucosa cells aimed to reveal molecular mechanisms associated with aging and biological function of APP, APLP2 and PSEN2 genes. This RNAseq project has been supported by a grant of Polish National Science Centre (UMO-2013/09/NZ3/02359).
2020-03-31 | GSE147771 | GEO
Project description:With the criterion of 2-fold cutoff, 7 miRNAs were upregulated and 7 miRNAs were downregulated in APP/PS1 hippocampal tissues compared with WT hippocampal tissues Microarray analysis of miRNAs was performed on pooled hippocampal tissues from WT (n=16) and APP/PS1 mice (n=16) at E14
2014-01-08 | E-GEOD-53859 | biostudies-arrayexpress