Single Cell Diagnostics Methods and Protocols 1st Edition by Alan R Thornhill ISBN 161737654X 9781617376542 by Alan Thornhill 9781588295781, 9781597452984 instant download after payment.

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ISBN 10: 161737654X 
ISBN 13: 9781617376542
Author: Alan R Thornhill

Single Cell Diagnostics Methods and Protocols 1st Table of contents:

Part I: Introduction and Fundamental Concepts

• Chapter 1: The Promise and Challenges of Single Cell Diagnostics
  • Why Single Cell Analysis? Unveiling Heterogeneity
  • Historical Overview and Evolution of Single Cell Technologies
  • Key Applications of Single Cell Diagnostics in Medicine
  • Challenges and Future Directions
• Chapter 2: Essential Considerations for Single Cell Workflows
  • Maintaining Cell Viability and Integrity
  • Minimizing Contamination
  • Avoiding RNA/DNA Degradation
  • Quality Control Metrics for Single Cell Experiments

Part II: Single Cell Isolation and Preparation

• Chapter 3: Manual Single Cell Isolation Techniques
  • Micromanipulation and Picking
  • Laser Capture Microdissection (LCM) for Tissue Sections
  • Protocol: Manual Cell Isolation from Tissue Biopsies
• Chapter 4: Automated Single Cell Isolation Platforms
  • Fluorescence-Activated Cell Sorting (FACS) and Its Optimization
  • Microfluidic Devices for Cell Trapping and Isolation
  • Droplet-Based Single Cell Encapsulation
  • Protocol: Single Cell Isolation Using Flow Cytometry
  • Protocol: Cell Encapsulation Using Microfluidic Devices
• Chapter 5: Nucleic Acid Extraction from Single Cells
  • Lysis Buffers and Cell Disruption Strategies
  • Minimal Volume DNA/RNA Extraction
  • Protocol: Genomic DNA Extraction from Single Cells
  • Protocol: Total RNA Extraction from Single Cells

Part III: Single Cell Molecular Analysis: DNA, RNA, and Protein

• Chapter 6: Single Cell Genomics: DNA Amplification and Variation Analysis
  • Whole Genome Amplification (WGA) Methods (MDA, PCR-based)
  • Detection of Single Nucleotide Variants (SNVs)
  • Copy Number Variation (CNV) Analysis at Single Cell Resolution
  • Protocol: Whole Genome Amplification by MDA
  • Protocol: Targeted DNA Amplification for Mutation Detection
• Chapter 7: Single Cell Transcriptomics: RNA-Seq Approaches
  • mRNA Amplification Strategies (Smart-seq, Cel-seq, Drop-seq, 10x Genomics)
  • Library Preparation for Single Cell RNA Sequencing
  • Gene Expression Profiling and Cell Type Identification
  • Protocol: Single Cell cDNA Synthesis and Amplification (e.g., Smart-seq2)
  • Protocol: Library Preparation for Droplet-Based Single Cell RNA-Seq
• Chapter 8: Single Cell Epigenomics: Chromatin Accessibility and Methylation
  • ATAC-seq for Single Cell Chromatin Accessibility
  • Methylation Analysis (scBS-seq)
  • Protocol: Single Cell ATAC-seq Workflow
• Chapter 9: Single Cell Proteomics and Flow Cytometry
  • Mass Cytometry (CyTOF) for High-Dimensional Protein Profiling
  • Flow Cytometry and Immunophenotyping at Single Cell Level
  • Imaging Mass Cytometry
  • Protocol: Multi-Parameter Single Cell Staining for Flow Cytometry

Part IV: Clinical Applications of Single Cell Diagnostics

• Chapter 10: Single Cell Diagnostics in Cancer
  • Tumor Heterogeneity and Drug Resistance
  • Circulating Tumor Cells (CTCs) and Liquid Biopsy
  • Genomic and Transcriptomic Profiling of Cancer Cells
  • Protocol: Isolation and Molecular Analysis of CTCs
• Chapter 11: Single Cell Analysis in Immunology
  • Immune Cell Subtyping and Activation States
  • T-Cell and B-Cell Receptor Sequencing
  • Understanding Immune Response in Infectious and Autoimmune Diseases
  • Protocol: Single Cell Immune Repertoire Sequencing
• Chapter 12: Single Cell Approaches in Infectious Diseases
  • Detecting Pathogens in Individual Host Cells
  • Understanding Host-Pathogen Interactions
  • Drug Resistance in Single Microbes
  • Protocol: Direct Detection of Viral RNA in Single Infected Cells
• Chapter 13: Prenatal and Reproductive Single Cell Diagnostics
  • Preimplantation Genetic Diagnosis (PGD) and Screening (PGS)
  • Non-Invasive Prenatal Testing (NIPT) at Cellular Resolution
  • Polar Body and Blastocyst Biopsy Analysis
  • Protocol: Single Cell DNA Analysis for PGD
• Chapter 14: Single Cell Diagnostics in Neurology and Development
  • Profiling Neuronal Heterogeneity in Brain Tissue
  • Understanding Disease Mechanisms in Neurodegenerative Disorders
  • Developmental Trajectories at Single Cell Resolution

Part V: Data Analysis and Future Perspectives

• Chapter 15: Bioinformatics for Single Cell Data Analysis
  • Preprocessing and Quality Control of Single Cell Datasets
  • Dimensionality Reduction and Clustering Algorithms
  • Cell Type Annotation and Trajectory Inference
  • Differential Expression Analysis
  • Tutorial: Basic Single Cell RNA-Seq Data Analysis Workflow (using R/Python)
• Chapter 16: Emerging Technologies and the Future of Single Cell Diagnostics
  • Spatial Transcriptomics and Proteomics
  • Multi-Omics Integration at Single Cell Level
  • In Vivo Single Cell Analysis Technologies
  • Clinical Translation and Regulatory Challenges

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Tags: Alan R Thornhill, Single, Diagnostics