Single‐cell analysis of microglial transcriptomic diversity in subarachnoid haemorrhage

• Published in: Clinical and translational medicine 2022-04, Vol.12 (4), p.e783-n/a
• Main Authors: Chen, Junfan, Sun, Lei, Lyu, Hao, Zheng, Zhiyuan, Lai, Huasheng, Wang, Yang, Luo, Yujie, Lu, Gang, Chan, Wai Yee, Guan, Sheng, Zhang, Yisen, Chen, Xinyi, Li, Zhongqi, Ko, Ho, Wong, Kwok Chu George
• Format: Article
• Language: English
• Subjects: Alzheimer's disease; Animals; Bioinformatics; Brain research; Disease Models, Animal; Gene expression; Hemorrhage; Letter to Editor; Microglia; Single-Cell Analysis; Subarachnoid Hemorrhage - genetics; Transcriptome - genetics; Tumor necrosis factor-TNF
• ISSN: 2001-1326; 2001-1326
• DOI: 10.1002/ctm2.783

By using cell type-specific marker gene expression patterns (Figure S5, Tmem119 and Cx3cr1 for microglia, others in Method S9), we classified single-cell transcription into microglia (n = 5824) and other six cell types (n = 3,052) (Figure 1C,D). According to prior reports, disease-associated microglia (DAM) and injury-responsive microglia (IRM) share the expression of a core set of genes encompassing Spp1, Apoe and Lpl,5 which are also upregulated in SAM. Some of these markers have been identified in previous studies on AD, multiple sclerosis (MS) and aging disease,4,5,7 overexpression of Il1a, Ccl4 and Ccl3 has been observed in the IRM subpopulation in the MS mouse model.5 These genes are related to the interleukin, tumour necrosis factor (TNF), toll-like receptor 4 (TLR4) and nuclear factor-kappa B (NF-κB) signalling pathways in the GO results, which suggested that possible pathways were activated.