1.Transcriptional regulatory network analysis of microglia in multiple sclerosis
Qiangwei CAI ; Feng SUN ; Wenyu WU ; Fuming SHAO ; Zhengliang GAO ; Shengkai JIN
Journal of Shanghai Jiaotong University(Medical Science) 2025;45(1):29-41
Objective·To investigate the differential gene expression of microglia in the gray and white matter of multiple sclerosis(MS)using single-nucleus transcriptomic analysis,aiming to explore their roles in disease progression,and identify key transcriptional regulatory networks associated with the disease.Methods·snRNA-seq data of frozen human brain tissue samples from MS patients and control individuals were obtained from the Gene Expression Omnibus(GEO)database.R language,along with R packages such as Seurat,was employed to identify cell types based on specific cell markers.Microglia were extracted from the identified cell populations and classified based on their anatomical origin,either gray matter or white matter.Dimensionality reduction and clustering techniques were utilized to identify distinct microglial subpopulations with differential characteristics.Differentially expressed genes(DEGs)between the MS and control groups at the subpopulation level were analyzed by using the Seurat package.Gene set enrichment analysis of Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)was conducted on the DEGs to further explore the biological significance of these differences.Monocle3 was used for pseudotime analysis to study dynamic changes in microglia subpopulations during disease progression.Single cell regulatory network inference and clustering(SCENIC)method was applied to analyze transcription factor(TF)regulatory networks,aiming to identify key transcription factors potentially involved in MS regulation.Results·After quality control,a total of 149 062 nuclei were retained for analysis.Following dimensional reduction and clustering,12 238 microglia were identified by using key markers,including DOCK8,CSF1R,P2RY12,and CD74.The results of GO and KEGG pathway analysis showed that in gray matter microglia,functions such as endocytosis,ion homeostasis,and lipid localization were downregulated during disease progression,while in white matter microglia,functions such as protein folding,cytoplasmic translation,and response to thermal stimuli were upregulated.SCENIC analysis revealed that the expression of transcription factors such as FLI1,MITF,and FOXP1 was upregulated in MS.Conclusion·Microglia play a critical role in MS,with white matter microglia being more significantly impacted by MS than their gray matter counterparts.Transcription factors such as FLI1,MITF,and FOXP1 are identified as key regulators involved in disease modulation,with their associated transcriptional regulatory networks playing a central role in disease modulation.
2.Transcriptional regulatory network analysis of microglia in multiple sclerosis
Qiangwei CAI ; Feng SUN ; Wenyu WU ; Fuming SHAO ; Zhengliang GAO ; Shengkai JIN
Journal of Shanghai Jiaotong University(Medical Science) 2025;45(1):29-41
Objective·To investigate the differential gene expression of microglia in the gray and white matter of multiple sclerosis(MS)using single-nucleus transcriptomic analysis,aiming to explore their roles in disease progression,and identify key transcriptional regulatory networks associated with the disease.Methods·snRNA-seq data of frozen human brain tissue samples from MS patients and control individuals were obtained from the Gene Expression Omnibus(GEO)database.R language,along with R packages such as Seurat,was employed to identify cell types based on specific cell markers.Microglia were extracted from the identified cell populations and classified based on their anatomical origin,either gray matter or white matter.Dimensionality reduction and clustering techniques were utilized to identify distinct microglial subpopulations with differential characteristics.Differentially expressed genes(DEGs)between the MS and control groups at the subpopulation level were analyzed by using the Seurat package.Gene set enrichment analysis of Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)was conducted on the DEGs to further explore the biological significance of these differences.Monocle3 was used for pseudotime analysis to study dynamic changes in microglia subpopulations during disease progression.Single cell regulatory network inference and clustering(SCENIC)method was applied to analyze transcription factor(TF)regulatory networks,aiming to identify key transcription factors potentially involved in MS regulation.Results·After quality control,a total of 149 062 nuclei were retained for analysis.Following dimensional reduction and clustering,12 238 microglia were identified by using key markers,including DOCK8,CSF1R,P2RY12,and CD74.The results of GO and KEGG pathway analysis showed that in gray matter microglia,functions such as endocytosis,ion homeostasis,and lipid localization were downregulated during disease progression,while in white matter microglia,functions such as protein folding,cytoplasmic translation,and response to thermal stimuli were upregulated.SCENIC analysis revealed that the expression of transcription factors such as FLI1,MITF,and FOXP1 was upregulated in MS.Conclusion·Microglia play a critical role in MS,with white matter microglia being more significantly impacted by MS than their gray matter counterparts.Transcription factors such as FLI1,MITF,and FOXP1 are identified as key regulators involved in disease modulation,with their associated transcriptional regulatory networks playing a central role in disease modulation.
3. Experimental study on DEHP affect the neurodevelopment through interfering with placental thyroid hormones transport
Binbin LUO ; Qiangwei FENG ; Daji WU ; Qunan WANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2018;36(3):179-183
Objective:
The present study was represented by di-(2-ethylhexyl) phthalate (DEHP), to explore the role of thyroid hormones (THs) disruption in the connection of placenta and neurodevelopmental toxicity.
Methods:
During fetal mice neural tube closed (pregnancy 9.5 days, E9.5d) to begin synthesis of THs (E15.5 d), all pregnant mice were administered with different concentration of DEHP (0、10、50、200 mg/kg) by gavage once a day(10 mice per group). All pregnant mice were conducted with BrdU administration in E14d by subcutaneous injection. Seven pregnant mice from each group were scarified after anesthesia in E15.5 d, serum and amniotic fluid were collected to determinate the levels of THs(T3, T4, FT3 and FT4) by the automatic biochemical analyzer, detecting fetal mice placental protein expression of monocarboxylate transporter 8 (MCT8), organic anion transporting polypeptide 1C1 (OATP1C1) and deiodinaseⅡ&Ⅲ (DIO2, DIO3) by Western blot. Each group of the remaining three pregnant mices were killed after anesthesia in E18d, take the male fetal brain, BrdU immunohistochemistry was used to detect the proliferation and migration of fetal brain cortical neurons.
Results:
There was no abnormalities in diet, water intake, body weight and general activity of pregnant mice in each treatment group, and there were no difference in the general physiolo. Results There was no abnormalities in diet, water intake, body weight and general activity of pregnant mice in each treatment group, and there were no difference in the general physiological development status of body weight, brain weight, brain body ratio between the mice of each group. There was no statistically significant differences in serum T3, T4, FT3, FT4 and amniotic fluid FT4 in pregnant mice of each group (
4. Effects of developmental exposure to DEHP on learning and memory of mice
Daji WU ; Binbin LUO ; Qiangwei FENG ; Qunan WANG
Chinese Journal of Industrial Hygiene and Occupational Diseases 2017;35(4):241-245
Objective:
To investigate the effects of developmental exposure to DEHP on learning and memory of mice.
Methods:
Male littermates of ICR mice randomly assigned to five experimental groups (

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