Buch, Englisch, 220 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 6377 g
Reihe: Methods in Molecular Biology
Methods and Protocols
Buch, Englisch, 220 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 6377 g
Reihe: Methods in Molecular Biology
ISBN: 978-1-4939-0804-2
Verlag: Humana
Transcription Factor Regulatory Methods details various techniques ranging from cutting-edge to general techniques use to study transcription factor regulatory networks. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols and key tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, Transcription Factor Regulatory Methods aids scientists in the further study into post-genomic or the personal genomic era.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Detecting Protein-protein Interactions/Complex Components using Mass Spectrometry Coupled Techniques
Zhibin Ning, Brett Hawley, Cheng-Kang Chiang, Deeptee Seebun and Daniel Figeys
2. The Analysis of Transcription Factor Networks using the IVV Method
Hiroyuki Ohashi, Shigeo Fujimori, Hirai Naoya, Hiroshi Yanagawa and Etsuko Miyamoto-Sato
3. Next-generation Sequencing Coupled with a Cell-free Display Technology
for Reliable Interactome of Translational Factors
Etsuko Miyamoto-Sato
4. Chromatin Immunoprecipitation Protocol for Mammalian Cells
Makiko Komata, Yuki Katou, Hiroshi Tanaka, Ryuichiro Nakato, Katsuhiko Shirahige, and Masashige Bando
5. Detecting Protein–DNA Interactions using a Modified Yeast One-hybrid System
Kazuhisa Ota, Shu-Ying Feng and Takashi Ito
6. RNA Sequencing: From Sample Preparation to Analysis
Sho Maekawa, Ayako Suzuki, Sumio Sugano and Yutaka Suzuki
7. Detecting Expressed Genes using CAGE
Mitsuyoshi Murata, Hiromi Nishiyori-Sueki, Miki Kojima-Ishiyama, Piero Carninci, Yoshihide Hayashizaki and Masayoshi Itoh
8. A Tutorial to Identify Nonlinear Associations in Gene Expression Time Series Data
André Fujita and Satoru Miyano 9. Inference of TERNs (2)
Hideo Matsuda
10. Identification of the Minimal Connected Network of Transcription Factors by Transcriptomic and Genomic Data Integration
Ahmed Essaghir
11. Modeling and Simulation using CellDesigner
Yukiko Matsuoka, Akira Funahashi, Samik Ghosh and Hiroaki Kitano
12. Human Genome Network Platform: A Resource for TFRN Analysis
N. Monma, T. Gojobori and K. Ikeo
13. Identification of Transcription Factors Activated in Thymic Epithelial Cells During Embryonic Thymus Development
Taishin Akiyama, Junwen Qin, Daisuke Ohshima and Jun-ichiro Inoue
14. Analysis of NFATc1-centered Transcription Factor Regulatory Networks in Osteoclast Formation
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