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Single Cell Methods

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Cover of 'Single Cell Methods'

Table of Contents

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    Book Overview
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    Chapter 1 Molecular Evolution Bioinformatics Toward Structural Biology of TRPV1-4 Channels
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    Chapter 1 Setting Up a Single-Cell Genomic Laboratory
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    Chapter 2 Tissue Handling and Dissociation for Single-Cell RNA-Seq. - PubMed - NCBI
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    Chapter 2 Expression, Purification, and Crystallization of the Transient Receptor Potential Channel TRPV6
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    Chapter 3 Full-Length Single-Cell RNA Sequencing with Smart-seq2
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    Chapter 3 Cryo Electron Microscopy of TRP Channels
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    Chapter 4 Mass Spectrometry-Based Analysis of TRPP2 Phosphorylation
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    Chapter 4 CEL-Seq2—Single-Cell RNA Sequencing by Multiplexed Linear Amplification
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    Chapter 5 Single-Cell RNA-Seq by Multiple Annealing and Tailing-Based Quantitative Single-Cell RNA-Seq (MATQ-Seq)
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    Chapter 6 Single-Cell RNA Sequencing with Drop-Seq
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    Chapter 6 Characterization of TRPC Channels in a Heterologous System Using Calcium Imaging and the Patch-Clamp Technique
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    Chapter 7 Fluorescence-Based Functional Assays for Ca2+-Permeable ThermoTRP Channels
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    Chapter 7 Chromium 10× Single-Cell 3′ mRNA Sequencing of Tumor-Infiltrating Lymphocytes
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    Chapter 8 Seq-Well: A Sample-Efficient, Portable Picowell Platform for Massively Parallel Single-Cell RNA Sequencing
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    Chapter 8 High-Content Imaging of Immunofluorescently Labeled TRPV1-Positive Sensory Neurons
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    Chapter 9 Single-Cell Tagged Reverse Transcription (STRT-Seq)
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    Chapter 9 Patch-Clamp Combined with Fast Temperature Jumps to Study Thermal TRP Channels
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    Chapter 10 Single-Cell RNA-Sequencing of Peripheral Blood Mononuclear Cells with ddSEQ
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    Chapter 10 TRP Channel Reconstitution in Lipid Bilayers
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    Chapter 11 High-Throughput Single-Cell Real-Time Quantitative PCR Analysis
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    Chapter 11 Methods for Investigating TRP Channel Gating
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    Chapter 12 In Silico Approaches for TRP Channel Modulation
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    Chapter 12 Single-Cell Dosing and mRNA Sequencing of Suspension and Adherent Cells Using the PolarisTM System
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    Chapter 13 Drug Discovery for Soft Drugs on TRPV1 and TRPM8 Channels Using the Passerini Reaction
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    Chapter 13 Targeted TCR Amplification from Single-Cell cDNA Libraries
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    Chapter 14 In Vivo Methods to Study ThermoTRP Channels in Rodents
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    Chapter 14 Sequencing the Genomes of Single Cells
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    Chapter 15 Studying DNA Methylation in Single-Cell Format with scBS-seq
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    Chapter 16 Single-Cell 5fC Sequencing
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    Chapter 17 ChIPmentation for Low-Input Profiling of In Vivo Protein–DNA Interactions
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    Chapter 18 Immunophenotyping of Human Peripheral Blood Mononuclear Cells by Mass Cytometry
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    Chapter 19 Classification of the Immune Composition in the Tumor Infiltrate
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    Chapter 20 Combined Genome and Transcriptome (G&T) Sequencing of Single Cells
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    Chapter 21 Simultaneous Profiling of mRNA Transcriptome and DNA Methylome from a Single Cell
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    Chapter 22 Simultaneous Targeted Detection of Proteins and RNAs in Single Cells
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    Chapter 23 CRISPR Screening in Single Cells
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    Chapter 24 Single-Cell Live Imaging
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    Chapter 25 Differential Expression Analysis in Single-Cell Transcriptomics
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    Chapter 26 A Bioinformatic Toolkit for Single-Cell mRNA Analysis
Attention for Chapter 26: A Bioinformatic Toolkit for Single-Cell mRNA Analysis
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Chapter title
A Bioinformatic Toolkit for Single-Cell mRNA Analysis
Chapter number 26
Book title
Single Cell Methods
Published by
Humana, New York, NY, April 2019
DOI 10.1007/978-1-4939-9240-9_26
Pubmed ID
Book ISBNs
978-1-4939-9239-3, 978-1-4939-9240-9

Kevin Baßler, Patrick Günther, Jonas Schulte-Schrepping, Matthias Becker, Paweł Biernat, Baßler, Kevin, Günther, Patrick, Schulte-Schrepping, Jonas, Becker, Matthias, Biernat, Paweł

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 17%
Student > Ph. D. Student 6 17%
Student > Bachelor 4 11%
Student > Postgraduate 3 9%
Student > Master 3 9%
Other 5 14%
Unknown 8 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 37%
Agricultural and Biological Sciences 4 11%
Physics and Astronomy 2 6%
Neuroscience 2 6%
Immunology and Microbiology 2 6%
Other 3 9%
Unknown 9 26%