Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

The difference between Treg cells and naive T cells analyzed by cluster analysis

Authors
Yuchen Wang
Corresponding Author
Yuchen Wang
Available Online June 2016.
DOI
10.2991/mecs-17.2017.46How to use a DOI?
Keywords
RNA sequence, immunologic tolerance
Abstract

This article hopes to find differences in the function of Treg cells and naive T cells by high-throughput analysis. With the increasing demand for low-cost sequencing, the development of high-throughput sequencing has been promoted, which multiplexes the sequencing process and produces thousands or millions of sequences. RNA-seq is a transcriptional sequencing technique in which mRNA, small RNA, and non-coding RNA, or some of them, are identified by high-throughput sequencing techniques. Reflecting their level of expression. It Is a powerful tool for deep research of the complexity of transcription groups.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-352-4
ISSN
2352-5401
DOI
10.2991/mecs-17.2017.46How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yuchen Wang
PY  - 2016/06
DA  - 2016/06
TI  - The difference between Treg cells and naive T cells analyzed by cluster analysis
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.46
DO  - 10.2991/mecs-17.2017.46
ID  - Wang2016/06
ER  -