Single Cell Methods, 1st ed. 2019
Sequencing and Proteomics
Methods in Molecular Biology Series, Vol. 1979

Coordinator: Proserpio Valentina

Language: English

137.14 €

Subject to availability at the publisher.

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Single Cell Methods
Support: Print on demand

210.99 €

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Single Cell Methods
459 p. · 17.8x25.4 cm · Hardback

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.



   


Acknowledgement…
Preface…
Table of Contents…
Contributing Authors…

Part I Lab Setup and Tissue Preparation

1. Setting Up a Single-Cell Genomic Laboratory
Lira Mamanova

2. Tissue Handling and Dissociation for Single-Cell RNA-seq
Felipe Vieira Braga and Ricardo J. Miragaia

Part II Single Cell Trancriptomic Analysis

3. Full-Length Single-Cell RNA-Sequencing with Smart-seq2
Simone 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-Seq
Josephine 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-Sequencing
Toby 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 ddSEQ
Shaheen Khan and Kelly A. Kaihara

11. High Throughput Single Cell Real-Time Quantitative PCR Analysis
Liora Haim-Vilmovsky

12. Single-Cell Dosing and mRNA Sequencing of Suspension and Adherent Cells Using the Polaris™ System
Chad D. Sanada and Aik T. Ooi

13. Targeted TCR Amplification from Single-Cell cDNA Libraries
Shuqiang Li and Kenneth J. Livak

Part III Single Cell Genomic and Epigenomic Analysis

14. Sequencing the Genomes of Single Cells
Veronica Gonzalez-Pena and Charles Gawad

15. Studying DNA Methylation in Single Cell Format with scBS-seq
Natalia Kunowska

16. Single Cell 5fC Sequencing
Chenxu Zhu, Yun Gao, Jinying Peng, Fuchou Tang, and Chengqi Yi

17. ChIPmentation for Low-Input Profiling of In Vivo Protein-DNA Interactions
Natalia Kunowska and Xi Chen

Part IV Single Cell Proteomic Analysis

18. Immuno-Phenotyping of Human Peripheral Blood Mononuclear Cells by Mass Cytometry
Susanne Heck, Cynthia Jane Bishop, and Richard Jonathan Ellis

19. Classification of the Immune Composition in the Tumor Infiltrate
Davide 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 Cell
Youjin 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 Cells
Aik 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 Imaging
Toru Hiratsuka and Naoki Komatsu

Part VIII Single Cell Data Analysis

25. Differential Expression Analysis in Single Cell Transcriptomics
Luca Alessandri , Maddalena Arigoni, and Raffaele Calogero

26. A Bioinformatic Toolkit for Single-Cell mRNA Analysis
Kevin Baßler, Patrick Günther, Jonas Schulte-Schrepping, Matthias Becker, and Paweł Biernat


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Includes cutting-edge methods and protocols

Provides step-by-step detail essential for reproducible results

Contains key notes and implementation advice from the experts