Distinct microglia alternative splicing in Alzheimer's disease

6Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

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 rMATS and maser. Differential expressed genes or transcripts were analyzed via limma. Gene ontology and correlation analyses were performed with clusterProfiler and ggcorrplot R packages. 36,340 raw counts of AS were identified, and 95 significant AS events were eventually selected with strict criteria: (1) average coverage >5; (2) delta percent spliced in >0.1. SE was the most common AS events (68.42%), followed by A3SS and RI. Autophagy genes were mainly spliced in SE events, actin depolymerization genes spliced in A3SS events, while synaptic plasticity related genes were mainly spliced in RI pattern. These significant AS events may be regulated by dysregulated splicing factors in AD. In conclusion, we revealed microglia specific AS events in AD, and our study provides novel pathological mechanisms in the pathogenesis of AD.

References Powered by Scopus

Cytoscape: A software Environment for integrated models of biomolecular interaction networks

35086Citations
N/AReaders
Get full text

STAR: Ultrafast universal RNA-seq aligner

29811Citations
N/AReaders
Get full text

Limma powers differential expression analyses for RNA-sequencing and microarray studies

23946Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Unveiling Anoikis-related genes: A breakthrough in the prognosis of bladder cancer

12Citations
N/AReaders
Get full text

Identifying MSMO1, ELOVL6, AACS, and CERS2 related to lipid metabolism as biomarkers of Parkinson's disease

3Citations
N/AReaders
Get full text

Identification of prostate cancer bone metastasis related genes and potential therapy targets by bioinformatics and in vitro experiments

2Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Lu, Y., Tan, L., Xie, J., Cheng, L., & Wang, X. (2022). Distinct microglia alternative splicing in Alzheimer’s disease. Aging, 14(16), 6554–6566. https://doi.org/10.18632/aging.204223

Readers over time

‘22‘23‘24‘2502468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 5

71%

Professor / Associate Prof. 1

14%

Researcher 1

14%

Readers' Discipline

Tooltip

Engineering 4

50%

Biochemistry, Genetics and Molecular Bi... 2

25%

Computer Science 1

13%

Neuroscience 1

13%

Article Metrics

Tooltip
Mentions
News Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free
0