中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Identification of gene expression signatures across different types of neural stem cells with the Monte-Carlo feature selection method

文献类型:期刊论文

作者Chen, Lei1,5; Li, JiaRui5; Wang, ShaoPeng5; Cai, Yu-Dong5; Zhang, Yu-Hang4; Huang, Tao4; Kong, Xiangyin4; Feng, KaiYan3; Zhang, YunHua2; ,
刊名JOURNAL OF CELLULAR BIOCHEMISTRY
出版日期2018
卷号119期号:4页码:3394-3403
关键词gene expression pattern Monte-Carlo feature selection method neural stem cell
ISSN号0730-2312
DOI10.1002/jcb.26507
文献子类Article
英文摘要Adult neural stem cells (NSCs) are a group of multi-potent, self-renewing progenitor cells that contribute to the generation of new neurons and oligodendrocytes. Three subtypes of NSCs can be isolated based on the stages of the NSC lineage, including quiescent neural stem cells (qNSCs), activated neural stem cells (aNSCs) and neural progenitor cells (NPCs). Although it is widely accepted that these three groups of NSCs play different roles in the development of the nervous system, their molecular signatures are poorly understood. In this study, we applied the Monte-Carlo Feature Selection (MCFS) method to identify the gene expression signatures, which can yield a Matthews correlation coefficient (MCC) value of 0.918 with a support vector machine evaluated by ten-fold cross-validation. In addition, some classification rules yielded by the MCFS program for distinguishing above three subtypes were reported. Our results not only demonstrate a high classification capacity and subtype-specific gene expression patterns but also quantitatively reflect the pattern of the gene expression levels across the NSC lineage, providing insight into deciphering the molecular basis of NSC differentiation.
学科主题Biochemistry & Molecular Biology ; Cell Biology
WOS关键词SERINE-PROTEASE HTRA1 ; GROWTH-FACTOR-I ; ADULT NEUROGENESIS ; PROGENITOR CELLS ; NONCODING RNAS ; BRAIN ; MOUSE ; TRANSCRIPTOME ; PURIFICATION ; CLUSTERIN
语种英语
WOS记录号WOS:000426187500037
出版者WILEY
版本出版稿
源URL[http://202.127.25.144/handle/331004/678]  
专题中国科学院上海生命科学研究院营养科学研究所
作者单位1.Shanghai Maritime Univ, Coll Informat Engn, Shanghai, Peoples R China;
2.Anhui Agr Univ, Sch Resources & Environm, Anhui Prov Key Lab Farmland Ecol Conversat & Poll, Hefei, Anhui, Peoples R China,
3.Guangdong AIB Polytech, Dept Comp Sci, Guangzhou, Guangdong, Peoples R China;
4.Chinese Acad Sci, Inst Hlth Sci, Shanghai Inst Biol Sci, Shanghai, Peoples R China;
5.Shanghai Univ, Sch Life Sci, Shanghai 200444, Peoples R China;
推荐引用方式
GB/T 7714
Chen, Lei,Li, JiaRui,Wang, ShaoPeng,et al. Identification of gene expression signatures across different types of neural stem cells with the Monte-Carlo feature selection method[J]. JOURNAL OF CELLULAR BIOCHEMISTRY,2018,119(4):3394-3403.
APA Chen, Lei.,Li, JiaRui.,Wang, ShaoPeng.,Cai, Yu-Dong.,Zhang, Yu-Hang.,...&,.(2018).Identification of gene expression signatures across different types of neural stem cells with the Monte-Carlo feature selection method.JOURNAL OF CELLULAR BIOCHEMISTRY,119(4),3394-3403.
MLA Chen, Lei,et al."Identification of gene expression signatures across different types of neural stem cells with the Monte-Carlo feature selection method".JOURNAL OF CELLULAR BIOCHEMISTRY 119.4(2018):3394-3403.

入库方式: OAI收割

来源:上海营养与健康研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。