Buch, Englisch, Band 1979, 459 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 887 g
Reihe: Methods in Molecular Biology
Sequencing and Proteomics
Buch, Englisch, Band 1979, 459 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 887 g
Reihe: Methods in Molecular Biology
ISBN: 978-1-4939-9242-3
Verlag: Springer
This volume provides a comprehensive overview for investigating biology at the level of individual cells. Chapters are organized into eight parts detailing a single-cell lab, single cell DNA-seq, RNA-seq, single cell proteomic and epigenetic, single cell multi-omics, single cell screening, and single cell live imaging. 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, Single Cell Methods: Sequencing and Proteomics aims to make each experiment easily reproducible in every lab.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
Acknowledgement…Preface…Table of Contents…Contributing Authors…
Part I Lab Setup and Tissue Preparation
1. Setting Up a Single-Cell Genomic LaboratoryLira Mamanova
2. Tissue Handling and Dissociation for Single-Cell RNA-seqFelipe Vieira Braga and Ricardo J. Miragaia
Part II Single Cell Trancriptomic Analysis
3. Full-Length Single-Cell RNA-Sequencing with Smart-seq2Simone Picelli
4. CEL-Seq2 – Single Cell RNA Sequencing by Multiplexed Linear Amplification Itai Yanai and Tamar Hashimshony
5. Single-Cell RNA-seq by Multiple Annealing and Tailing Based Quantitative Single-Cell RNA-seq (MATQ-seq)Kuanwei Sheng and Chenghang Zong
6. Single-Cell RNA Sequencing with Drop-SeqJosephine Bageritz and Gianmarco Raddi
7. Chromium 10X Single Cell 3’ mRNA Sequencing of Tumor Infiltrating Lymphocytes Marco De Simone, Grazisa Rossetti, and Massimiliano Pagani
8. Seq-Well: A Sample-Efficient, Portable Picowell Platform for Massively Parallel Single-Cell RNA-SequencingToby P. Aicher, Shaina Carroll, Gianmarco Raddi, Todd Gierahn, Marc H. Wadsworth II, Travis K. Hughes, Chris Love, and Alex K. Shalek
9. Single-Cell Tagged Reverse Transcription (STRT-seq)Kedar Natarajan
10. Single-Cell RNA-Sequencing of Peripheral Blood Mononuclear Cells with ddSEQShaheen Khan and Kelly A. Kaihara
11. High Throughput Single Cell Real-Time Quantitative PCR AnalysisLiora Haim-Vilmovsky
12. Single-Cell Dosing and mRNA Sequencing of Suspension and Adherent Cells Using the Polaris™ SystemChad D. Sanada and Aik T. Ooi
13. Targeted TCR Amplification from Single-Cell cDNA LibrariesShuqiang Li and Kenneth J. Livak
Part III Single Cell Genomic and Epigenomic Analysis
14. Sequencing the Genomes of Single CellsVeronica Gonzalez-Pena and Charles Gawad
15. Studying DNA Methylation in Single Cell Format with scBS-seqNatalia Kunowska
16. Single Cell 5fC SequencingChenxu Zhu, Yun Gao, Jinying Peng, Fuchou Tang, and Chengqi Yi
17. ChIPmentation for Low-Input Profiling of In Vivo Protein-DNA InteractionsNatalia Kunowska and Xi Chen
Part IV Single Cell Proteomic Analysis
18. Immuno-Phenotyping of Human Peripheral Blood Mononuclear Cells by Mass CytometrySusanne Heck, Cynthia Jane Bishop, and Richard Jonathan Ellis
19. Classification of the Immune Composition in the Tumor InfiltrateDavide Brusa and Jean-Luc Balligand
Part V Single Cell Multi Omic Analysis
20. Combined Genome and Transcriptome (G&T) Sequencing of Single Cells Iraad F. Bronner and Stephan Lorenz
21. Simultaneous Pofiling of mRNA Transcriptome and DNA Methylome from a Single CellYoujin Hu, Qin An, Ying Guo, Jiawei Zhong, Shuxin Fan, Pinhong Rao, Xialin Liu, Yizhi Liu, and Guoping Fan
22. Simultaneous Targeted Detection of Proteins and RNAs in Single CellsAik T. Ooi and David W. Ruff
Part VI Single Cell Screening
23. CRISPR-Screening in Single Cells Johan Henriksson
Part VII Single Cell Live Imaging
24. Single Cell Live ImagingToru Hiratsuka and Naoki Komatsu
Part VIII Single Cell Data Analysis
25. Differential Expression Analysis in Single Cell TranscriptomicsLuca Alessandri , Maddalena Arigoni, and Raffaele Calogero
26. A Bioinformatic Toolkit for Single-Cell mRNA AnalysisKevin Baßler, Patrick Günther, Jonas Schulte-Schrepping, Matthias Becker, and Pawel Biernat
