2022
DOI: 10.18632/aging.204223
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Distinct microglia alternative splicing in Alzheimer's disease

Abstract: Numerous alternative splicing (AS) events have been documented in Alzheimer's disease (AD). However, cell type-specific AS analysis is still lacking. We described AS events in the hippocampal microglia sorted by CD45 and CD11b from Aβ precursor protein (APP) and non-transgenic (Ntg) mice. GSE171195 dataset was downloaded from GEO database, aligned to GRCm39 genome. Skipped exon (SE), alternative 3'SS (A3SS), retained intron (RI), alternative 5'SS (A5SS), and mutually exclusive exons (MXE) were evaluated using … Show more

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Cited by 8 publications
(5 citation statements)
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“…For example, the GWAS-annotated AD risk genes MS4A4A and BIN1 are significantly upregulated after DEX and IL-4 stimulation, but significantly downregulated after LPS and R848 exposure ( Figure 7C ). We also analyzed changes in splicing and gene expression levels of several microglia-specific genes in mechanistic AD studies (Lu et al 2022) across stimulations. By analyzing the differential transcript usage (DTU) framework, we identified changes in splicing, such as TYROBP in LPS ( Supplemental Figure 19 ), WARS ( Figure 7D ) CIITA ( Supplemental Figure 19 ) in IFNγ, WDR74 in R848, and PPARG in IL-4 stimulated samples compared to the unstimulated microglia samples.…”
Section: Resultsmentioning
confidence: 99%
“…For example, the GWAS-annotated AD risk genes MS4A4A and BIN1 are significantly upregulated after DEX and IL-4 stimulation, but significantly downregulated after LPS and R848 exposure ( Figure 7C ). We also analyzed changes in splicing and gene expression levels of several microglia-specific genes in mechanistic AD studies (Lu et al 2022) across stimulations. By analyzing the differential transcript usage (DTU) framework, we identified changes in splicing, such as TYROBP in LPS ( Supplemental Figure 19 ), WARS ( Figure 7D ) CIITA ( Supplemental Figure 19 ) in IFNγ, WDR74 in R848, and PPARG in IL-4 stimulated samples compared to the unstimulated microglia samples.…”
Section: Resultsmentioning
confidence: 99%
“…At the same time, we also predicted the immune response and score using Tumor Immune Dysfunction and Exclusion (TIDE) online tools (http://tide.dfci.harvard.edu/) and the IMvigor210CoreBiologies R package 26 . Correlation analysis between risk scores and expression level of immune checkpoint was performed using the ggcorrplot R package 27 …”
Section: Methodsmentioning
confidence: 99%
“…26 Correlation analysis between risk scores and expression level of immune checkpoint was performed using the ggcorrplot R package. 27…”
Section: Prediction Of Immunotherapy/ Chemotherapymentioning
confidence: 99%
“…In order to assess biomarkers' generalizability, their expression patterns in GSE8397 and GSE49036 datasets were examined, and receiver operating characteristic (ROC) curves (area under curve (AUC)>0.7) were generated using pROC (v 1.18.0) 18 . Meanwhile, Spearman's correlation analysis was implemented to evaluate biomarkers' correlation via ggcorrplot (v 0.1.4) 19 . Afterwards, the Backpropagation Neural Network was built with biomarkers as input layer and a total of 5 hidden layers.…”
Section: Assessment Of Biomarkersmentioning
confidence: 99%