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Published by: BioInformatics, LLC
Published: Jul. 1, 2003 - 228 Pages
Table of Contents
Section 1. Analysis and Interpretation of Survey Results
- 1-1 Introduction
- 1-7 Arrays
- 1-14 Processing and Analysis
- 1-18 Conclusion
Section 2. Study Methodology and Demographics
- 2-1 Objectives
- 2-1 Comments
- 2-3 Understanding Quadrant Analysis
- 2-4 Assumptions
- 2-4 Definition of Terms
- 2-6 Market Segment
- 2-6 Job Position
- 2-6 Geographic Region
- 2-6 Area(s) of Research
- 2-7 Questionnaire
Section 3. Presentation of Survey Data
- General Histology Analysis (Respondents = 586)
- 3-2 Work involving the production, processing or analysis of tissue sections
- 3-4 Primary job function
- 3-5 Focus on the diagnosis or treatment of a specific human disease
- 3-7 Types of arrays used
- 3-8 Histology procedures performed in lab versus those performed by another source
- 3-9 Histology techniques routinely performed in lab
- 3-10 Use of tissue microarrays
- Tissue Microarrays (Respondents = 252)
- 3-15 Primary application for tissue microarrays
- 3-16 Types of molecules detected using tissue microarrays
- 3-17 Use of the same tissue block for detecting both mRNA and proteins
- 3-18 Type of tissue sample most frequently analyzed when using tissue microarrays
- 3-19 Average number of tissue microarray slides used in lab per month
- 3-21 Future number of tissue microarray slides used
- 3-24 Average number of tissue samples analyzed on a single tissue microarray slide
- 3-25 Problems/limitations encountered with the tissue microarrays most frequently used
- 3-26 Aspects of tissue microarray production, processing or analysis performed in lab or outsourced to a commercial vendor, collaborator or core facility
- Externally Produced Tissue Microarrays (Respondents = 125)
- 3-28 External sources from which tissue microarrays are obtained
- 3-29 Commercial sources from which tissue microarrays are obtained
- 3-31 Satisfaction with specific features of the tissue microarrays used
- 3-33 Overall satisfaction with the tissue microarrays used
- External Tissue Microarray Processing/Analysis (Respondents = 51)
- 3-35 Procedures related to the processing or analysis of tissue microarrays obtained from a service provider
- 3-36 Primary reasons for outsourcing tissue microarray procedures
- 3-37 Contributing factors in decision to outsource to a particular service provider
- 3-38 Primary tissue microarray service provider
- 3-40 Problems/limitations encountered with primary tissue microarray service provider
- Internally Produced Tissue Microarrays (Respondents = 103)
- 3-42 Primary reason for producing, processing or analyzing tissue microarrays in lab rather than using an external source
- 3-43 Primary instrument for creating tissue microarrays
- 3-45 Satisfaction with specific features of the primary instrument used for creating tissue microarrays
- 3-47 Overall satisfaction with the primary instrument used for creating tissue microarrays
- 3-48 Most influential features in decision to purchase an instrument for creating tissue microarrays
- Internal Tissue Microarray Processing/Analysis (Respondents = 137)
- 3-50 Methods used in lab for signal detection on tissue microarrays
- 3-51 Primary supplier for signal detection kits/reagents used in lab with tissue microarrays
- 3-53 Instrumentation/software used for processing and analysis of tissue microarrays
Section 4. Appendices
- 4-1 Insights & Perspectives
- 4-3 Cross-Tabulations of Survey Data
- 4-24 Other Recent Publications
- 4-31 About BioInformatics
- 4-32 Our Valued Clients
AbstractRapidly advancing technology has created exciting opportunities for researchers and physicians who are trying to elucidate the causes of disease, create predictive or diagnostic assays and develop effective therapeutic treatments. Large-scale and high-throughput genomic and proteomic studies are generating vast amounts of data that are already leading to the identification of drug targets and disease biomarkers. The new challenge is to sift through all of the gene and protein expression data to find clinically relevant information. A rate-limiting step in the screening process has been the need to examine histological samples one at a time. This degree of scrutiny is necessary to interpret the often complex expression and distribution patterns of target molecules within actual tissues. To overcome this limitation, scientists have created a new research tool called the "tissue microarray" (TMA). TMAs allow hundreds of tissue specimens to be examined on a single microscope slide, greatly streamlining the processes of drug discovery and clinical diagnosis.
In contrast to traditional tissue analysis techniques, which use at least one slide for every tissue from each patient or test subject, TMAs are created with specialized instrumentation that can remove small, circular punches from tissue specimens and array up to 1,000 different samples on the same slide. In addition to the tools for creating arrays, TMA studies frequently employ sophisticated methods for scanning the processed arrays as well as for archiving and analyzing the resulting visual data. Besides increasing throughput, TMAs offer the following benefits: conservation of precious tissue resources, improved internal experimental control, reduced consumption of reagents and facilitation of multicenter research studies. Applications include studies that attempt to link gene expression data with stages of tumor progression, screening and validation of drug targets, and quality control for molecular detection methods.
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