Flow cytometric sorting of neuronal and glial nuclei from central nervous system tissue

免疫标记 生物 单元格排序 染色质 核糖核酸 DNA 电池类型 细胞生物学 中枢神经系统 分子生物学 细胞 表观遗传学 流式细胞术 遗传学 神经科学 基因 免疫组织化学 免疫学
作者
Seiji Okada,Hirokazu Saiwai,Hiromi Kumamaru,Kensuke Kubota,Akihito Harada,Masahiro Yamaguchi,Yukihide Iwamoto,Yasuyuki Ohkawa
出处
期刊:Journal of Cellular Physiology [Wiley]
卷期号:226 (2): 552-558 被引量:35
标识
DOI:10.1002/jcp.22365
摘要

Due to the complex cellular heterogeneity of the central nervous system (CNS), it is relatively difficult to reliably obtain molecular descriptions with cell-type specificity. In particular, comparative analysis of epigenetic regulation or molecular profiles is hampered by the lack of adequate methodology for selective purification of defined cell populations from CNS tissue. Here, we developed a direct purification strategy of neural nuclei from CNS tissue based on fluorescence-activated cell sorting (FACS). We successfully fractionated nuclei from complex tissues such as brain, spinal cord, liver, kidney, and skeletal muscle extruded mechanically or chemically, and fractionated nuclei were structurally maintained and contained nucleoproteins and nuclear DNA/RNA. We collected sufficient numbers of nuclei from neurons and oligodendrocytes using FACS with immunolabeling for nucleoproteins or from genetically labeled transgenic mice. In addition, the use of Fab fragments isolated from papain antibody digests, which effectively enriched the specialized cell populations, significantly enhanced the immunolabeling efficacy. This methodology can be applied to a wide variety of heterogeneous tissues and is crucial for understanding the cell-specific information about chromatin dynamics, nucleoproteins, protein-DNA/RNA interactions, and transcriptomes retained in the nucleus, such as non-coding RNAs.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
天天快乐应助Ma采纳,获得10
1秒前
1秒前
彩色的尔丝关注了科研通微信公众号
2秒前
3秒前
4秒前
Jasper应助可爱的彩虹采纳,获得10
5秒前
QIQI完成签到,获得积分10
6秒前
希望天下0贩的0应助小柯采纳,获得10
6秒前
LiBo发布了新的文献求助10
6秒前
子车茗应助xixi采纳,获得30
7秒前
科目三应助摇摇七喜采纳,获得10
7秒前
bofu发布了新的文献求助10
8秒前
28316818@qq.com完成签到,获得积分10
8秒前
iop发布了新的文献求助10
8秒前
橘子汽水完成签到 ,获得积分10
9秒前
孙ym关注了科研通微信公众号
10秒前
11秒前
11秒前
思源应助caoruotong采纳,获得10
13秒前
13秒前
HJ完成签到,获得积分10
13秒前
由哎发布了新的文献求助10
14秒前
15秒前
彭佳丽发布了新的文献求助10
16秒前
bofu发布了新的文献求助10
16秒前
含糊的安柏完成签到,获得积分20
17秒前
雨er发布了新的文献求助10
17秒前
18秒前
HJ发布了新的文献求助30
19秒前
19秒前
123发布了新的文献求助10
20秒前
xixi完成签到,获得积分10
20秒前
gent发布了新的文献求助20
21秒前
wjx发布了新的文献求助10
21秒前
21秒前
宇心应助含糊的安柏采纳,获得10
22秒前
SDSD完成签到 ,获得积分10
22秒前
bofu发布了新的文献求助10
23秒前
特警飞龙完成签到,获得积分10
25秒前
传奇3应助莫羽倾尘采纳,获得10
25秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
How Maoism Was Made: Reconstructing China, 1949-1965 800
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3309669
求助须知:如何正确求助?哪些是违规求助? 2942933
关于积分的说明 8511870
捐赠科研通 2618027
什么是DOI,文献DOI怎么找? 1430770
科研通“疑难数据库(出版商)”最低求助积分说明 664273
邀请新用户注册赠送积分活动 649451