{"title":"通过单细胞分析了解调节性B细胞发育","authors":"S. Visva, J. Oliveria, Ruby Zheng","doi":"10.35493/medu.35.19","DOIUrl":null,"url":null,"abstract":"There is very little research concerning human regulatory B cells and this may in part be due to their inconsistent responsesto immunosuppressive cytokines such as IL-10. The purpose of this critical review is to examine our current understandingof regulatory B cell development, such as time points of differentiation, and how in silico computer modelling can improvethis understanding. Specifically, bioinformatic analysis of the changes in cell surface markers and signalling moleculescan help guide our understanding of the timing of cell-fate decisions and regulatory B cell differentiation. Trackingregulatory B cell trajectory with bioinformatics and in silico methods may improve our understanding of their role in manyneurodegenerative diseases such as multiple sclerosis.","PeriodicalId":22813,"journal":{"name":"The Meducator","volume":"28 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding regulatory B cell development with single cell analyses\",\"authors\":\"S. Visva, J. Oliveria, Ruby Zheng\",\"doi\":\"10.35493/medu.35.19\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is very little research concerning human regulatory B cells and this may in part be due to their inconsistent responsesto immunosuppressive cytokines such as IL-10. The purpose of this critical review is to examine our current understandingof regulatory B cell development, such as time points of differentiation, and how in silico computer modelling can improvethis understanding. Specifically, bioinformatic analysis of the changes in cell surface markers and signalling moleculescan help guide our understanding of the timing of cell-fate decisions and regulatory B cell differentiation. Trackingregulatory B cell trajectory with bioinformatics and in silico methods may improve our understanding of their role in manyneurodegenerative diseases such as multiple sclerosis.\",\"PeriodicalId\":22813,\"journal\":{\"name\":\"The Meducator\",\"volume\":\"28 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Meducator\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35493/medu.35.19\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Meducator","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35493/medu.35.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Understanding regulatory B cell development with single cell analyses
There is very little research concerning human regulatory B cells and this may in part be due to their inconsistent responsesto immunosuppressive cytokines such as IL-10. The purpose of this critical review is to examine our current understandingof regulatory B cell development, such as time points of differentiation, and how in silico computer modelling can improvethis understanding. Specifically, bioinformatic analysis of the changes in cell surface markers and signalling moleculescan help guide our understanding of the timing of cell-fate decisions and regulatory B cell differentiation. Trackingregulatory B cell trajectory with bioinformatics and in silico methods may improve our understanding of their role in manyneurodegenerative diseases such as multiple sclerosis.