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Biomolecular Interactions (In Vivo Methods)

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market research, life science market, biotech market, biotechnology market, proteomics market, DNA sequencing market, biosciences market, microarrays market, molecular biology market, reagent market, qPCR market, genomics market, customer surveys, bioinformatics


Publication Date: 01-DEC-01
Pages: 114
Hardcopy Print -- $800.00
PDF document -- $1,100.00
   

Description

This report explores the technological challenges faced by protein scientists when assessing biomolecular interactions in vivo and also highlights the opportunities for new techniques and products to facilitate innovative research in this area. It will provide marketing professionals and product developers with unique insights into the product preferences, preferred suppliers, level of satisfaction with the current technologies, definitions of quality and unmet needs in biomolecular interactions.

By studying biomolecular interactions, life scientists hope to better understand the regulation of protein function, expression of proteins under different cellular conditions, and protein interactions with other biomolecules such as nucleic acids and ligands. In vivo methods for identifying and characterizing biomolecular interactions and complexes have greatly improved over the past few years. Traditional methods employing affinity chromatography or co-immunoprecipitation have largely been replaced by predominantly two-hybrid and phage-display systems. The most prominent two-hybrid system employed among scientists is the Yeast Two-Hybrid System-an efficient and rapid method of analysis.

The Yeast Two-Hybrid System-although highly useful-challenges protein scientists with its many limitations. Existing systems present low throughput, high rates of false positives, low detection levels and poor expression stability. In addition, yeast model systems cannot process complex post-translational modifications required for proper function of many types of proteins. Recent improvements in the Yeast Two-Hybrid System include smaller vectors, low copy number vectors, vectors with multiple cloning sites, increased reporter numbers and reporters with greater sensitivity.

Competitors are now developing technologies to address scientists' needs for increased transformation efficiency, higher stringency detection, decreased false positive results and high-throughput formats. In addition, two-hybrid systems have been expanded to include mammalian and bacterial two-hybrid systems. Mammalian two-hybrid systems offer a native environment for protein function as well as rapid and efficient analysis, whereas bacterial two-hybrid systems are a more familiar model system, offering higher efficiency and the ability to screen larger, more complex libraries.

The final report is based on the opinions of a worldwide panel of research scientists. It provides you with the answers needed to better serve the protein science market and is available at a fraction of what it would cost to conduct a custom study similar in size and scope.

Biomolecular Interactions (In Vivo Methods) is the seventh installment in our series-which details all aspects of protein research-and specifically focuses on the gene tagging methods employed by protein scientists. Hybrid systems will continue to dominate the gene tagging method for identifying biomolecular interactions and complexes. Utilizing these methods, scientists will continue to classify proteins, identify interactions between proteins and learn more about various biological functions that form larger cellular processes. As the alternatives grow, companies involved with proteomics must understand life scientists' current needs and future research goals in order to improve their products and technologies and make them more powerful.

Report Highlights

More than 250 researchers studying biomolecular interactions using in vivo methods participated in this survey between November 26 and December 5, 2001. The report details findings for each and every question in the survey. Below is a glimpse of some of the findings derived from different questions:

• Currently, the primary technique for protein scientists involved in identifying protein-protein associations in biological systems is the yeast two-hybrid method.

• "Screening a library (or libraries) to discover previously unknown binding partners of the protein of interest" is the primary application of the in vivo research performed by researchers.

• To confirm the validity of in vivo protein interactions, many researchers will rely on in vitro methods over the more time-intensive, costly and invasive physiological studies with organs or whole bodies.

• According to the protein scientists surveyed, the risk in using yeast two-hybrid proteomic approaches is that the systems are "prone to false positive results" and that "hybrid proteins may not fold normally."

• The "ability to simultaneously detect/analyze multiple sets of protein-protein interactions in a single screening" is a major factor in influencing a researcher's decision to use an in vivo system for studying protein-protein interactions.

(Electronic copy also includes 1 print copy)

Table of Contents

  1. Section 1 Executive Overview and Introduction
  2. -Executive Overview
  3. -Key Findings
  4. -Introduction
  5. -Visualizing & Quantifying Proteins In Vivo
  6. -Identifying & Characterizing Protein Interactions In Vivo
  7. -Applications of These Different Techniques
  8. -High-throughput Screening
  9. -Technologies & Suppliers
  10. Section 2 Study Methodology and Demographics
  11. -Study Methodology
  12. -Objectives
  13. -Comments
  14. -Demographics
  15. -Market Segment
  16. -Organization Size
  17. -Laboratory Size
  18. -Region
  19. -Job Position
  20. -Area(s) of Research
  21. Section 3 Significant Findings
  22. -Visualizing & Quantifying Biomolecules In Vivo
  23. -Current and future use of technologies for visualizing and/or quantifying proteins in vivo
  24. -Detection techniques used for visualizing and/or quantifying proteins in vivo
  25. -Type of multi-color applications performed
  26. -Future plans for instrumentation
  27. Identifying & Characterizing Protein Interactions In Vivo
  28. -Current and future use of in vivo techniques for identifying and/or characterizing protein-nucleic acid interactions
  29. -Number of in vivo protein-protein interaction assays and/or library screens performed each month
  30. -Applications that use in vivo approaches for studying protein-protein interactions
  31. -Type of protein used as "bait" for in vivo protein interaction experiments
  32. -Places "bait" proteins normally localize
  33. -Origins of "bait" proteins used
  34. -Size range of "bait" proteins used
  35. -Correspondence of length of "bait" proteins to the wild-type protein under study
  36. -Most commonly used reporters and/or markers when performing in vivo protein interaction assays
  37. -Most commonly used techniques when assaying reporter activity for in vivo protein interaction assays
  38. -Most commonly used substrate when assaying reporter activity for in vivo protein-protein interaction assays
  39. -Most commonly used criteria for establishing the validity of interacting pairs
  40. -Average percentage of interacting pairs discovered to be "false positives"
  41. Technologies & Suppliers
  42. -Percentage of lab effort directed toward identifying or characterizing protein-protein interactions using in vivo methodologies
  43. -Percentage of lab effort directed toward visualizing or quantifying protein in vivo
  44. -Top-of-mind company for products/technologies for studying protein interactions in vivo
  45. -Familiarity with suppliers of products/technologies for identifying or studying protein interactions in vivo
  46. -Current and future estimated percentage of annual budget for products/instrumentation dedicated to studying protein interactions in vivo
  47. -Top factors that are most problematic when using yeast two-hybrid systems
  48. Section 4 Presentation of Survey Data
  49. -50 pages of detailed tables, full-color analytical charts and graphs highlighting the responses and findings for each of the 28 questions in the survey instrument.
  50. Section 5 Cross Tabulations of Survey Data
  51. -Over 50 questions or answer choices tabulated against Market Segment, Geographic Region, Area of Research or other relevant questions.
  52. Section 6 Appendix
  53. -Related Reports
  54. -About BioInformatics
  55. -Our Valued Clients

Biomolecular Interactions (In Vivo Methods) - Market Size, Share and Demand Forecast;

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