Gene Expression Profiling Life Science Dashboard Series 3
Percepta Associates Inc, February 2010, Pages: 162
Gene expression profiling methods enable the quantification of multiple transcripts from a single RNA sample. Powerful and continually evolving methods, such as microarray analysis, multiplex PCR and quantitative real-time RT-PCR, as well as novel methods for transcriptome analyses using tiling arrays and short read sequencing are employed by scientists to analyze gene function, identify new therapeutic and diagnostic targets, and to map pathways involved in development and disease.
This 2010 Gene Expression Profiling Dashboard™ is the third in a series that characterizes the dynamic market for products for profiling gene expression. This 2010 Dashboard provides a snapshot of the current market landscape that can be compared with data from the 2008 and 2007 Gene Expression Profiling Dashboards, providing an ongoing story of how the market is adapting to new products, new competitors and new sales and marketing strategies.
The 2010 Gene Expression Profiling Dashboard™ was developed from responses to a 22-question survey completed by 485 scientists predominantly located in North America and Europe. 301 of these respondents perform gene expression profiling methods on a regular basis.
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:
- Differential gene expression studies using multiplex PCR
- Digital gene expression/molecular barcodes
- Microarray-based gene expression studies
- qRT-PCR (cDNA template) using gene specific fluorescent probe
- qRT-PCR (cDNA template) using non-specific SYBR Green
- Northern blot analysis
- Serial Analysis of Gene Expression (SAGE) studies
- Transcriptome studies using tiling arrays
- Transcriptome studies via short-read sequencing
Survey Methodology:
In January of 2010, the Gene Expression Profiling Survey was fielded to a subset of the company's panel of more than 40,000 life scientists. 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 January 10, 2010 and results collected through January 20, 2010. A total of 485 scientists completed the survey, of which 301 are actively engaged in performing gene expression profiling experiments. Results based on the aggregate of collected responses are revealed in this Gene Expression Profiling Dashboard.
Respondent Demographics:
Respondents from the academic, government and commercial market segments are well represented, with approximately 22% of respondents employed in an industry setting. About 70% of respondents are from North America, while nearly 30% 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 (25.5% of respondents), Professor/Principal Investigator (16.5%) and Post-Doctoral Fellow (13.0%).
A wide variety of scientific areas of specialization is also evident, led by molecular biology (named by 34.8% of respondents as their primary area of expertise), cell biology (9.9%) and biochemistry (7.6%). Immunology (6.5%), microbiology/infectious disease/virology (6.3%), and genomics (6.0%) are the only other areas of expertise named by more than 5% of respondents.
Small (1 to 5 scientists), mid-size (6 to 10 scientists) and large laboratories (10 scientists) are well represented in the respondent data set. A total of 37.2% of survey participants work in labs where one to five people perform experiments. 30.9% are employed in labs with six to ten scientists, while the remaining 32.0% of respondents work in labs where greater than 10 individuals work at the bench.
- Figures and Tables
- Executive Summary
- Key Findings and Implications
- Gene Expression Profiling Dashboard
- Gene Expression Profiling Market Opportunity Matrix
- Survey Methodology
- Survey Invitation Text
- Respondent Demographics
- Frequency of Performance of Life Science Techniques
- Frequency of Performance of Gene Expression Profiling Methods
- 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
- Gene Expression Profiling Applications
- Desired Changes to Gene Expression Profiling Products
- Survey Questionnaire
LIST OF FIGURES:
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 7A: Change in 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 Differential Gene Expression Studies Using Multiplex PCR
Figure 9A: Change in Percentage of Respondents That Perform Differential Gene Expression Studies Using Multiplex PCR
Figure 10: Percentage of Respondents That Perform Digital Gene Expression Studies/ Molecular Barcodes
Figure 11: Percentage of Respondents That Perform Microarray-Based Gene Expression Studies
Figure 11A: Change in Percentage of Respondents That Perform Microarray-Based Gene Expression Studies
Figure 12: Percentage of Respondents That Perform qRT-PCR (cDNATemplate) Using Gene Specific Fluorescent Probes
Figure 12A: Change in Percentage of Respondents That Perform qRT-PCR (cDNA Template) Using Gene Specific Fluorescent Probes
Figure 13: Percentage of Respondents That Perform qRT-PCR (cDNATemplate) Using Non-Specific SYBR Green
Figure 13A: Change in 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 14A: Change in Percentage of Respondents That Perform Northern Blot Analysis
Figure 15: Percentage of Respondents That Perform Serial Analysis of Gene Expression (SAGE) Studies
Figure 15A: Change in Percentage of Percentage of Respondents That Perform Serial Analysis of Gene Expression (SAGE) Studies
Figure 16: Percentage of Respondents That Perform Transcriptome Studies Using Tiling Arrays
Figure 17: Percentage of Respondents That Perform Transcriptome Studies via Short Read Sequencing
Figure 18: Respondent's Primary Supplier for Differential Gene ExpressionStudies Using Multiplex PCR
Figure 19: Respondent's Primary Supplier for Microarray-Based GeneExpression Studies
Figure 19A: Change in Respondent's Primary Supplier for Microarray-Based Gene Expression Studies
Figure 20: Respondent's Primary Supplier for qRT-PCR (cDNA Template)Using Gene Specific Fluorescent Probes
Figure 20A: Change in Respondent's Primary Supplier for qRT-PCR (cDNA Template) Using Gene Specific Fluorescent Probes
Figure 21: Respondent's Primary Supplier for qRT-PCR (cDNA Template)Using Non-Specific SYBR Green
Figure 21A: Change in Respondent's Primary Supplier for qRT-PCR (cDNA Template) Using Non-Specific SYBR Green
Figure 22: Respondent's Primary Supplier for Northern Blot Analysis
Figure 23: Respondent's Primary Supplier for Transcriptome Studies via Short Read Sequencing
Figure 24: Respondent Satisfaction with Current Gene Expression Profiling Methods
Figure 25: Percentage of Respondents That Have Switched Suppliers in the Last Six Months
Figure 26: Most Important Features of Products for Gene Expression Profiling Experiments
Figure 27: Respondent's Primary Downstream Application for Differentia l Gene Expression Studies Using Multiplex PCR
Figure 28: Respondent's Primary Downstream Application for Microarray-Based Gene Expression Studies
Figure 29: Respondent's Primary Downstream Application for qRT-PCR (cDNA Template) Using Gene Specific Fluorescent Probes
Figure 30: Respondent's Primary Downstream Application for qRT-PCR (cDNA Template) Using Non-Specific SYBR Green
Figure 31: Respondent's Primary Downstream Application for Northern Blot Analysis
Figure 32: Respondent's Primary Downstream Application for Transcriptome Studies via Short Read Sequencing
Figure 33: Types of Analyses Performed by Respondents for Differential Gene Expression Studies Using Multiplex PCR
Figure 34: Types of Analyses Performed by Respondents for Microarray- Based Gene Expression Studies
Figure 35: Types of Analyses Performed by Respondents for qRT-PCR (cDNA Template) Using Gene Specific Fluorescent Probes
Figure 36: Types of Analyses Performed by Respondents for qRT-PCR (cDNA Template) Using Non-Specific SYBR Green
Figure 37: Types of Analyses Performed by Respondents for Northern Blot Analysis
Figure 38: Types of Analyses Performed by Respondents for Transcriptome Studies via Short Read Sequencing
LIST OF TABLES:
Table 1: Respondent's Areas of Expertise/Specialization (Values for Figure 4)
Table 2: Frequency of Performance of Various Techniques
Table 3: Frequency of Co-Performance of Various Life Science Techniques
Table 4: Frequency of Performance of Gene Expression Profiling Methods
Table 5: Frequency of Co-Performance of Life Science Techniques with Gene Expression Profiling Methods
Table 6: Frequency of Co-Performance of Gene Expression Profiling Methods with Life Science Techniques
Table 7: Frequency of Co-Performance of Gene Expression Profiling Methods
Table 8: Median and Average Monthly Throughput for Gene Expression Profiling Products
Table 9: Percentage of Respondents Processing Various Numbers of Expression Profiling Samples Per Month
Table 10: Highest Throughput Users: Comparison to 2008 Life Science Dashboard
Table 11: Projected Growth in the Performance of Various Gene Expression Profiling Techniques
Table 12: Median and Average Price Per Prep for Gene Expression Profiling Products
Table 13: Estimated Market Size for Gene Expression Profiling Products
Table 14: Market Share Leaders for Gene Expression Profiling Products
Table 15: Number of Mentions as Primary Supplier for Methods with Low Numbers of Respondents
Table 16: Percentage of Respondents Satisfied with Various Gene Expression Profiling Products and Reasons for Dissatisfaction
Table 17: Respondent's Interest in Switching to a New Supplier for Gene Expression Profiling Systems: Comparison to 2008 Dashboard
Table 18: Previous Suppliers for Respondents That Have Switched Supplier for Gene Expression Profiling Methods Over the Last Six Months
Table 19: Most Important Features of Products for Gene Expression Profiling Experiments - Comparison to 2007 Gene Expression Profiling Dashboard
Table 20: Respondent's Primary Application After Various Gene Expression Profiling Methods
Table 21: Number of Mentions of Primary Downstream Applications for Methods with Low Numbers of Respondents
Table 22: Types of Analyses Performed by Respondents Using Various Gene Expression Profiling Methods
Table 23: Number of Mentions of Types of Analyses Performed for Methods with Low Numbers of Respondents
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