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Single Cell Omics 2011

April 2011 | 167 pages | ID: S09CA1D1F3EEN
Select Biosciences Ltd.

US$ 3,907.00

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The single cell Omics revolution is the potential transformation of cellular heterogeneity from a source of noise to a source of new, as yet hidden discoveries. No longer will the variability from one cell to the next confound researchers and force them to average results into irrelevance. Researchers may find, in fact, that this variability is critical for cells to respond to and interact with their environments. But even without the complete revolution, single cell Omics offer significant evolutionary advances in fields of biology and medicine that are already based on single cell analysis, such as immunology, neurobiology, stem cell biology, circulating tumor cells and preimplantation genetic diagnosis. Moreover, the ongoing evolution of single cell Omics technologies provides improvements in sensitivity and throughput that will enable researchers to generate more data from smaller numbers of cells, which can be enabling in cases of precious samples. The result of this (r)evolution is a market for Omics technologies that is projected to grow from $60 million in sales in 2010 to $525 million in 2016, according to Single Cell Omics 2011, a new report published by Select Biosciences and written by BioPerspectives.

Survival of the fittest requires a detailed understanding of this emerging market. Single Cell Omics 2011 explains the key technologies, applications, unmet needs and trends. The 167-page report includes an Internet survey administered to a large stratified database; analyses of front-end separation technologies, back-end Omics technologies and integrated platforms to bridge the gap; profiles of 30 companies; and a quantitative market model segmented by technologies. In addition, the report comes with a reprint of the Trends in Biotechnology cover article written by two of the report authors. Moreover, the report also comes with one hour of consulting (in the form of a conference call) with report authors Dr. Bodovitz, Principal of BioPerspectives or Antje Plaschke-Schluetter, Head of Application at Molecular Machines & Industries AG.
CHAPTER 1: EXECUTIVE SUMMARY

Introduction
Cellular Heterogeneity
Front-End Isolation of Single Cells
Back-End Isolation of Single Cells
Bridging Front- and Back-End
Applications
Competitive Environment
Trends in Usage
Prediction of Market Inflections
Market Model

CHAPTER 2: HISTORICAL PERSPECTIVE

Single Cells
Omics
Omics and Small Numbers of Cells
Omics and Single Cells

CHAPTER 3: CELLULAR HETEROGENEITY

Introduction
Specific Examples of Heterogeneity
RNA Interference
Gene Expression Profiles in C. Elegans
More Examples of Heterogeneity
Root Cause
Survey Question
Significance
From Noise to Discoveries
The Trend
Survey Question

CHAPTER 4: FRONT-END TECHNOLOGIES

Overview of Technologies
Introduction to the Front-End
Survey Question
FACS-Mediated Cell Sorting
Introduction
Competition
Magnetic Bead-Mediated Cell Sorting
Introduction
Competition
Microscopic Capture/Micromanipulation
Introduction
Competition
Laser Capture Microdissection
Introduction
Competition

CHAPTER 5: BACK-END TECHNOLOGIES

Introduction
State-of-the-Art
Technology Overview
Survey Question
Examples of State of the Art
Genomics
Survey Question
Metabolomics
Survey Questions
Microfluidic Interface with Mass Spectrometry
Future Directions
Evolution
Revolution

CHAPTER 6: BRIDGING THE FRONT- AND BACK-ENDS

Introduction
Examples of First-Generation Platforms
Beckman Coulter
MMI
Examples of Second-Generation Platforms
Silicon Biosystems
Microcavity Array
Single Cell Microarray
Survey Question

CHAPTER 7: EMERGING APPLICATIONS

Introduction
Literature Analysis
Established
Preimplantation Genetic Diagnosis/Screening
Established/Emerging
Stem Cells
Immunology
Neurobiology
Emerging
Cancer
Circulating Tumor Cells
Introduction
Workflow
Systems Biology

APPENDIX: METHODOLOGY

Author Credentials
Sources
Market Model
Literature Analysis
Internet Survey
Background Question 1
Background Question 2
Background Question 3
Background Question 4


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