Percepta -- Bioscience questions answered.Percepta -- Bioscience questions answered.Percepta -- Bioscience questions answered.
bioscience. questions. answered.

In US and Canada Call Toll Free: (877) 597-9236
Everywhere Else Call: (760) 431-6300

Reports

2007 Gene Expression Profiling Dashboard Series 1 -

pic_gene_expressionCatalog number: 0702GEP
Publication date: February 2007
Company-wide electronic copy: Complimentary

Please enquire about single-user* electronic copy pricing
* single-user pricing is intended for small companies, of 40 or less employees, to access The Life Science Dashboard. Please order these copies directly with Percepta Associates.

Overview

Overview

Gene expression profiling methods enable the quantification of multiple transcripts in a single RNA sample. Relatively new and continually evolving methods, such as microarray analysis, multiplex PCR and quantitative real-time RT-PCR, are integral to deciphering the molecular mechanisms involved in development and disease, and are important tools in the identification of new drug targets.

The Gene Expression Profiling Dashboard™ was developed from responses to a 36-question survey completed by 367 scientists predominantly located in North America and Europe. This Dashboard reveals key market indicators for the gene expression profiling market as a whole as well as for the following methods representing market sub-segments:

  • Microarray-based gene expression studies
  • Serial Analysis of Gene Expression (SAGE) studies
  • Differential gene expression studies using multiplex PCR
  • qRT-PCR (cDNA template) using gene specific fluorescent probe
  • qRT-PCR (cDNA template) using non-specific SYBR Green
  • Northern blot analysis

In order to dive more deeply into the characteristics and dynamics of the market for gene expression profiling products, Percepta has introduced the Gene Expression Profiling Dashboard™, designed to take a snapshot of the current market landscape with the future goal of repeating and publishing the study to give Dashboard readers the ongoing story of how the market is adapting to new products, new competitors and new sales and marketing strategies.

Survey Methodology

In November/December of 2006, Percepta fielded three surveys to our panel of active life scientists:

  • Gene Silencing and Gene Expression Profiling Survey
  • Nucleic Acid Purification and Amplification Survey
  • Mammalian Transfection and Cell Culture Survey

This report reveals the results of the Gene Expression Profiling section of the Gene Silencing and Gene Expression Profiling Survey. The results of the Gene Silencing portion of the survey as well as the other two studies are available as separate Life Science Dashboard™ publications. Contact Percepta for more information on these additional reports.

Individuals were invited by e-mail blast to click through to a webpage at bioanalytix.com where the survey was hosted. Invitations were delivered on November 13, 2006 and results collected through December 8. A total of 367 scientists completed the survey, of which 232 are actively engaged in performing gene expression profiling experiments.

Respondent Demographics

Respondents from the academic, government and commercial market segments are well represented, with approximately 18% of respondents employed in an industry setting. About 78% of respondents are from North America, while 18% reside in Europe.

Junior (Lab Tech, Grad Students), mid level (Post-Doc, Lab Manager) and senior (Professor/PI, Group Leader) scientists are well represented in the data set, with the most cited job titles being Scientist/Senior Scientist (21.3% of respondents) and Post-Doctoral Fellow (19.1%).

A wide variety of scientific areas of specialization is also evident, led by cell biology (named by 17.3% of respondents as their primary area of expertise) and biochemistry (named by 16.2% of respondents). Immunology (8.5%), microbiology/ infectious disease/ virology (7.9%) and genomics (7.9%) are the only other applications named by more than 5% of respondents.

Small (1-5 scientists), medium (6-20 scientists) and large (>20 scientists) laboratories are well represented: 32.3% of respondents work in labs where 1 to 5 people perform experiments; 52.7% in labs with 6 to 20 experimenters, and the remaining 15.0% in labs with greater than 20 bench scientists.

Table of contents

Table of Contents

  • Figures and Tables
  • Executive Summary
  • Key Findings and Implications13 Gene Expression Profiling Dashboard
  • Gene Expression Profiling Market Opportunity Matrix
  • Survey Methodology
  • Survey Invitation Text
  • Respondent Demographics
  • Frequency of Performance of Molecular Biology Techniques
  • Frequency of Performance of Gene Expression Profiling Techniques
  • Reaction Throughput and Market Growth Rates
  • Respondent’s Stated Price per Reaction
  • Total Market Size, Market Segment Sizes and Total Market Growth Rate
  • Market Shares by Segment (Share of Mention)
  • Customer Satisfaction and Interest in Switching Suppliers
  • Product Features That Influence Purchasing Decisions
  • Primary Downstream Applications
  • Desired Changes to Gene Expression Profiling Products
  • Survey Questionnaire

Figures and Tables

  • Figure 1: Respondent’s Place of Employment
  • Figure 2: Respondent’s Country/Region
  • Figure 3: Respondent’s Job Title
  • Figure 4: Respondent’s Areas of Expertise/Specialization
  • Figure 5: Number of Employees in Respondent’s Laboratories
  • Figure 6: Percentage of Respondents Performing Various Techniques at Least a Few Times per Year
  • Figure 7: Percentage of Respondents Performing Gene Expression Profiling Experiments
  • Figure 8: Percentage of Respondents Performing Various Gene Expression Profiling Techniques at Least a Few Times per Year
  • Figure 9: Percentage of Respondents That Perform Microarray-Based Gene Expression Studies
  • Figure 10: Percentage of Respondents That Perform Serial Analysis of Gene Expression (SAGE) Studies
  • Figure 11: Percentage of Respondents That Perform Differential Gene Expression Studies Using Multiplex PCR45
  • Figure 12: Percentage of Respondents That Perform qRT-PCR (cDNA Template) Using Gene Specific Fluorescent Probes
  • Figure 13: Percentage of Respondents That Perform qRT-PCR (cDNA Template) Using Non-Specific SYBR Green
  • Figure 14: Percentage of Respondents That Perform Northern Blot Analysis
  • Figure 15: Respondent’s Primary Supplier for Microarray-Based Gene Expression Studies
  • Figure 16: Respondent’s Primary Supplier for Serial Analysis of Gene Expression (SAGE) Studies
  • Figure 17: Respondent’s Primary Supplier for Differential Gene Expression Studies Using Multiplex PCR
  • Figure 18: Respondent’s Primary Supplier for qRT-PCR (cDNA Template) Using Gene Specific Fluorescent Probes
  • Figure 19: Respondent’s Primary Supplier for qRT-PCR (cDNA Template) Using Non-Specific SYBR Green
  • Figure 20: Respondent’s Primary Supplier for Northern Blot Analysis
  • Figure 21: Percentage of Respondents That Have Switched Suppliers in the Last Six Months
  • Figure 22: Most Important Features of Products for Gene Expression Profiling Experiments
  • Figure 23: Respondent’s Primary Downstream Application for Microarray-Based Gene Expression Studies
  • Figure 24: Respondent’s Primary Downstream Application for Serial Analysis of Gene Expression (SAGE) Studies
  • Figure 25: Respondent’s Primary Downstream Application for Differential Gene Expression Studies Using Multiplex PCR
  • Figure 26: Respondent’s Primary Downstream Application for qRT-PCR (cDNA Template) Using Gene Specific Fluorescent Probes
  • Figure 27: Respondent’s Primary Downstream Application for qRT-PCR (cDNA Template) Using Non-Specific SYBR Green
  • Figure 28: Respondent’s Primary Downstream Application for Northern Blot Analysis
  • Table 1: Frequency of Performance of Various Techniques
  • Table 2: Frequency of Co-Performance of Various Molecular Biology Techniques
  • Table 3: Frequency of Performance of Gene Expression Profiling Methods
  • Table 4: Frequency of Co-Performance of Life Science Techniques with Gene Expression Profiling Methods
  • Table 5: Frequency of Co-Performance of Gene Expression Profiling Methods with Life Science Techniques
  • Table 6: Median and Average Monthly Throughput for Gene Expression Profiling Products
  • Table 7: Percentage of Respondents Processing Various Numbers of Expression Profiling Samples Per Month
  • Table 8: Projected Growth in the Performance of Various Gene Expression Profiling Techniques
  • Table 9: Median and Average Price Per Prep for Gene Expression Profiling Products
  • Table 10: Market Share Leaders for Gene Expression Profiling Products
  • Table 11: Percentage of Respondents Satisfied with Various Gene Expression Profiling Products and Reasons for Dissatisfaction
  • Table 12: Respondents Primary Application after Various Gene Expression Profiling Methods

Copyright © 2017 Percepta Associates Inc. All rights reserved. Terms & Conditions.Designed by Audacity