Journal: Journal of Neuroinflammation

Article Title: Monocyte-macrophage SAMHD1 alleviates EAMG by modulating the cGAS-STING pathway

doi: 10.1186/s12974-026-03747-w

Figure Lengend Snippet: Single-cell RNA sequencing analysis of peripheral immune cells in EAMG rats. ( a ) Flow chart of EAMG model construction in rats. ( b ) Single-cell RNA sequencing of peripheral immune cells from EAMG and controls ( n = 5 in each group), UMAP dimensionality reduction visualization for unsupervised clustering. ( c ) Annotation of rat monocytes based on the key markers. ( d ) Volcano plot of differential expressed genes in EAMG rats and controls. ( e ) GO enriched pathways with significant differences between EAMG and control rats, including biological process, cell component and molecular function. ( f ) Venn diagram of the intersection between characteristic genes of monocytes and differentially expressed genes in EAMG monocytes. ( g ) Expression of the 16 differentially expressed genes in each cell population. ( h ) Violin plot of Samhd1 expression in monocytes. ( i - j ) Immunoblot images and quantification of SAMHD1 protein levels in circulating monocytes of EAMG rats and controls ( n = 6 each group). ( k ) Quantification of SAMHD1 mRNA levels in circulating monocytes of EAMG rats and controls ( n = 3 each group). (l-m) Immunoblot images and quantification of SAMHD1 protein levels in splenic macrophages of EAMG rats and controls ( n = 6 each group). ( n ) Quantification of SAMHD1 mRNA levels in splenic macrophages of EAMG rats and controls ( n = 3 each group). The results were analyzed using Mann-Whitney U test. Data were presented as mean ± SD, with statistical significance denoted by * p < 0.05, ** p < 0.01, or *** p < 0.001. sc-RNA seq: single-cell RNA sequencing; BP: biological process; CC: cell component; MF: molecular function

Article Snippet: The scRNA-seq library was constructed using the GEXSCOPE ® Single-Cell RNA Library Kit (Singleron Biotechnologies, Nanjing, China) and the Singleron Matrix ® automatic single-cell processing system (Singleron Biotechnologies, Köln, Germany) according to the Singleron GEXSCOPE ® protocol.

Techniques: Single Cell, RNA Sequencing, Control, Expressing, Western Blot, MANN-WHITNEY

Journal: Journal of Neuroinflammation

Article Title: Monocyte-macrophage SAMHD1 alleviates EAMG by modulating the cGAS-STING pathway

doi: 10.1186/s12974-026-03747-w

Figure Lengend Snippet: Single-cell RNA sequencing analysis of peripheral immune cells in MG patients. ( a ) UMAP dimensionality reduction visualization for unsupervised clustering. ( b ) Annotation of immune cell subsets based on cell key markers. Expression density plot ( c ) and violin plot ( d ) of SAMHD1-expressing cells. ( e ) Dot plot of SAMHD1 differential expression in main immune cell types. ( f - g ) Immunoblot images and quantification of SAMHD1 protein levels in monocytes of MG patients and healthy controls ( n = 9 each group). ( h ) Quantification of SAMHD1 mRNA levels in monocytes of MG patients and healthy controls ( n = 5 each group). The results were analyzed using Mann-Whitney U test. Data were presented as mean ± SD, with statistical significance denoted by * p < 0.05 or *** p < 0.001

Article Snippet: The scRNA-seq library was constructed using the GEXSCOPE ® Single-Cell RNA Library Kit (Singleron Biotechnologies, Nanjing, China) and the Singleron Matrix ® automatic single-cell processing system (Singleron Biotechnologies, Köln, Germany) according to the Singleron GEXSCOPE ® protocol.

Techniques: Single Cell, RNA Sequencing, Expressing, Quantitative Proteomics, Western Blot, MANN-WHITNEY

Journal: Advanced Science

Article Title: ROS Activated NETosis of Bone Marrow CD55 + Intermediate Mature Neutrophils Through HIF1α‐PADI4 Pathway to Initiate Bone Aging

doi: 10.1002/advs.202500046

Figure Lengend Snippet: scRNA‐seq analysis of BM neutrophils of 3‐mon male SAMP6 and SAMR1. (A) Flowchart of scRNA‐seq analysis of BM cells of 3‐mon male SAMP6 and SAMR1. (B) UMAP profile indicated cell clusters of BM cells of SAMP6 and SAMR1. (C) UMAP profile indicated SAMP6 and SAMR1 BM neutrophils contained 9 subsets. Pseudo‐time analysis (green curve) of neutrophils subsets. (D) Analysis of neutrophil differentiation–related genes in 9 subsets, and C12 was identified as the least mature and C17 as the most mature, consistent with differentiation trajectory of pseudo‐time analysis. (E) Proportion analysis of neutrophil subsets in SAMP6 and SAMR1 indicated C10 accumulation in SAMP6. (F) Violin plot showed the CXCR4 and CXCR2 expression in neutrophil subsets along with neutrophil maturation. High expression of CXCR4 and intermediate expression of CXCR2 was shown in C10. (G) Heatmap of gene expression showed CD55 significantly upregulated in C10. (H) Violin plot showed the highest expression of CD55 in C10. (I) Projection of CD55‐expression in SAMP6 BM neutrophils showed its expression concentrated in C10. (J) Pseudo‐time analysis of CD55 expression trajectory indicated it exclusively expressed in the middle of neutrophil differentiation. (K) KEGG analysis indicated NETs‐formation, ROS‐related pathway and HIF1‐related pathway significantly activated in neutrophil subset C10.

Article Snippet: Single‐cell suspensions were then loaded onto microfluidic devices and scRNA‐seq libraries were constructed according to Singleron GEXSCOPE protocol by GEXSCOPE Single‐Cell RNA Library Kit (Singleron Biotechnologies) [ ].

Techniques: Expressing, Gene Expression