Questo prodotto usufruisce delle SPEDIZIONI GRATIS
selezionando l'opzione Corriere Veloce in fase di ordine.
Pagabile anche con Carta della cultura giovani e del merito, 18App Bonus Cultura e Carta del Docente
This second edition provides techniques used to study of the underlying transcriptional programs of stem cells that promote self-renewal and differentiation. Chapters detail next-generation sequencing technologies, data analysis, protocols on analysis and visualization of single-cell RNA-Seq data, analysis of 3D chromatin architecture, interpretation of large-scale interaction networks, transcriptional networks in embryonic and adult stem cells, derivation of stem cells, and transcriptional programs that promote reprogramming, transdifferentiation, and cancer formation. 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 tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Stem Cell Transcriptional Network: Methods and Protocols, Second Edition aims to provide a key resource for biologists seeking to interrogate these vital networks.
Part I: Next-generation Sequencing Technologies and Data Analysis
1. Epitope Tagging ChIP-seq of DNA Binding Proteins using CETCh-seq
Sarah K. Meadows, Laurel A. Brandsmeier, Kimberly M. Newberry, Michael J. Betti, Amy S. Nesmith, Mark Mackiewicz, E. Christopher Partridge, Eric M. Mendenhall, and Richard M. Myers
2. User-friendly and Interactive Analysis of ChIP-seq data using EaSeq
Mads Lerdrup and Klaus Hansen
3. Evaluation of 3D Chromatin Interactions using Hi-C
Gangqing Hu
4. MSTD for Detecting Topological Domains from 3D Genomic Maps
Yusen Ye, Lin Gao, and Shihua Zhang
5. Creating 2D Occupancy Plots using plot2DO
Paula Beati and Razvan V. Chereji
6. Detection of Epigenetic Field Defects Using a Weighted Epigenetic Distance-based Method
Ya Wang, Min Qian, Peifeng Ruan, Andrew E. Teschendorff, and Shuang Wang
Part II: Analysis and Visualization of Single-Cell and Bulk RNA-Seq Transcriptome Data
7. Profiling Cell Type Abundance and Expression in Bulk Tissues with CIBERSORTx
Chloé B. Steen, Chih Long Liu, Ash A. Alizadeh, and Aaron M. Newman
8. Visualization of Single Cell RNA-Seq Data using t-SNE in R
Bo Zhou and Wenfei Jin
9. Use of SuperCT for Enhanced Characterization of Single-cell Transcriptomic Profiles
Jianmei Zhong and Wei Lin
10. Interactive Alternative Splicing Analysis of Human Stem Cells using psichomics
Nuno Saraiva-Agostinho and Nuno Luís Barbosa-Morais
11. Gene Ontology Semantic Similarity Analysis using GOSemSim
Guangchuang Yu
Part II: Derivation of Stem Cells
12. Derivation of Maternogenic Epiblast Stem Cells from Haploid Embryos
Benjamin L. Kidder
13. Derivation of LIF-independent Embryonic Stem Cells using Inducible OCT4 Expression
Benjamin L. Kidder
14. Simultaneous Derivation of Embryonic and Trophoblast Stem Cells from Mouse Blastocysts
Benjamin L. Kidder
Part IV: Transcriptional Programs That Promote Reprogramming, Transdifferentiation, and Cancer Formation
15. Reprogramming Fibroblasts to Neural Stem Cells by Overexpression of the Transcription factor Ptf1a
Kangxin Jin, Min Zou, Dongchang Xiao, and Mengqing Xiang
16. Reprogramming of Fibroblasts to Neural Stem Cells by a Chemical Cocktail
Chuijin Wei, Shumin Xiong, and Lin Cheng
17. Efficient RNA-based Reprogramming of Disease-associated Primary Human Fibroblasts into Induced Pluripotent Stem Cells
Patrick S. McGrath, Shennea S. McGarvey, Igor Kogut, and Ganna Bilousova
18. Direct Reprogramming Of Mouse Embryonic Fibroblasts to Induced Trophoblast Stem (iTS) Cells
Benjamin L. Kidder
19. Characterization of Arsenic-induced Cancer Stem-like Cells
Qingshan Chang, Zhuoyue Bi, Yao Fu, M’Kya Anique Rice, Qian Zhang, Priya Wadgaonkar, Bandar Almutairy, Wenxian Zhang, Yongju Lu, Liping Xu, Chitra Thukar, and Fei Chen
Il sito utilizza cookie ed altri strumenti di tracciamento che raccolgono informazioni dal dispositivo dell’utente. Oltre ai cookie tecnici ed analitici aggregati, strettamente necessari per il funzionamento di questo sito web, previo consenso dell’utente possono essere installati cookie di profilazione e marketing e cookie dei social media. Cliccando su “Accetto tutti i cookie” saranno attivate tutte le categorie di cookie. Per accettare solo deterninate categorie di cookie, cliccare invece su “Impostazioni cookie”. Chiudendo il banner o continuando a navigare saranno installati solo cookie tecnici. Per maggiori dettagli, consultare la Cookie Policy.