Stem Cell Transcriptional Networks (eBook, PDF)

Methods and Protocols
Redaktion: Kidder, Benjamin L.

• Format: PDF

Produktbeschreibung

Stem Cell Transcriptional Networks: Methods and Protocols collects techniques used to increase our understanding of the underlying transcriptional programs of stem cells that promote self-renewal and differentiation. The volume opens with a section on next-generation sequencing library preparation and data analysis. Continuing with a collection of protocols on visual analysis and interpretation of large-scale interaction networks, this detailed compilation features transcriptional networks in embryonic and adult stem cells, embryo culture and derivation of stem cells, as well as transcriptional programs that promote self-renewal, reprogramming, and transdifferentiation. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials, step-by-step, readily reproducible protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and practical, Stem Cell Transcriptional Networks: Methods and Protocols aims to provide a key resource for biologists seeking to interrogate these vital networks.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer US
• Seitenzahl: 286
• Erscheinungstermin: 17. April 2014
• Englisch
• ISBN-13: 9781493905126
• Artikelnr.: 64700564

Inhaltsangabe

Efficient Library Preparation for Next-Generation Sequencing Analysis of Genome-Wide Epigenetic and Transcriptional Landscapes in Embryonic Stem Cells.- Analysis of Next-Generation Sequencing Data Using Galaxy.- edgeR for Differential RNA-seq and ChIP-seq Analysis: An Application to Stem Cell Biology.- Use Model-based Analysis of ChIP-Seq (MACS) to Analyze Short Reads Generated by Sequencing Protein-DNA Interactions in Embryonic Stem Cells.- Spatial Clustering for Identification of ChIP-Enriched Regions (SICER) to Map Regions of Histone Methylation Patterns in Embryonic Stem Cells.- Identifying Stem Cell Gene Expression Patterns and Phenotypic Networks with AutoSOME.- Visualization and Clustering of High-Dimensional Transcriptome Data Using GATE.- Interpreting and Visualizing ChIP-seq Data with the seqMINER Software.- A Description of the Molecular Signatures Database (MSigDB) Website.- Use of Genome-Wide RNAi Screens to Identify Regulators of Embryonic Stem Cell Self-Renewal and Pluripotency.- Correlating Histone Modification Patterns with Gene Expression Data During Hematopoiesis.- In Vitro Maturation and In Vitro Fertilization of Mouse Oocytes and Preimplantation Embryo Culture.- Derivation and Manipulation of Trophoblast Stem Cells from Mouse Blastocysts.- Conversion of Epiblast Stem Cells to Embryonic Stem Cells Using Growth Factors and Small Molecule Inhibitors.- Generation of Induced Pluripotent Stem Cells Using Chemical Inhibition and Three Transcription Factors.- Transdifferentiation of Mouse Fibroblasts and Hepatocytes to Functional Neurons.- Direct Lineage Conversion of Pancreatic Exocrine to Endocrine Beta-Cells In Vivo with Defined Factors.- Direct Reprogramming of Cardiac Fibroblasts to Cardiomyocytes Using MicroRNAs.- Reprogramming Somatic Cells into Pluripotent Stem Cells Using miRNAs.