Characterizing biological stimuli by response curves
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G01N-033/48
G06K-009/00
출원번호
US-0789595
(2001-02-20)
발명자
/ 주소
Vaisberg,Eugeni A.
Oestreicher,Donald R.
Adams,Cynthia L.
출원인 / 주소
Cytokinetics, Inc.
대리인 / 주소
Beyer, Weaver &
인용정보
피인용 횟수 :
3인용 특허 :
44
초록▼
A method for generating stimulus response curves (e.g., dose response curves) shows how the phenotype of one or more cells change in response to varying levels of the stimulus. Each "point" on the curve represents quantitative phenotype for cell(s) at a particular level of stimulus (e.g., dose of a
A method for generating stimulus response curves (e.g., dose response curves) shows how the phenotype of one or more cells change in response to varying levels of the stimulus. Each "point" on the curve represents quantitative phenotype for cell(s) at a particular level of stimulus (e.g., dose of a therapeutic). The quantitative phenotypes are multivariate phenotypic representations of the cell(s). They include various features of the cell(s) obtained by image analysis. Such features often include basic parameters obtained from images (e.g., cell shape, nucleus area, Golgi texture) and/or biological characterizations derived from the basic parameters (e.g., cell cycle state, mitotic index, etc.). The stimulus response curves may be compared to allow classification of stimuli and identify subtle differences in related stimuli. To facilitate the comparison, it may be desirable to present the response curves in a principal component space.
대표청구항▼
What is claimed is: 1. A method for determining the response of cells to multiple levels of a stimulus, the method comprising: providing a 96-, 384-, or 1536-well plate, the wells of said plate containing a plurality of cells of different cell types, wherein at least some of said cells have been ex
What is claimed is: 1. A method for determining the response of cells to multiple levels of a stimulus, the method comprising: providing a 96-, 384-, or 1536-well plate, the wells of said plate containing a plurality of cells of different cell types, wherein at least some of said cells have been exposed to said stimulus; for each of the multiple levels of a stimulus, obtaining a plurality of feature values from said cells of different cell types, wherein said feature values are obtained from images of said cells, wherein at least some of said feature values characterize the phenotype of cells exposed to the particular level of the stimulus, to thereby produce a separate quantitative phenotype of the cells at each level of stimulus; and identifying a path through the separate quantitative phenotypes of cells exposed to the stimulus, wherein points on the path represent quantitative phenotypes of said cells at different specified levels of the stimulus. 2. The method of claim 1, wherein the stimulus is selected from the group consisting of exposure to a chemical compound, exposure to a biological agent, exposure to electromagnetic radiation, exposure to particle radiation, exposure to an electrical or magnetic field or force, exposure to a mechanical field or force, and combinations thereof. 3. The method of claim 1, wherein the stimulus as exposure to a chemical agent. 4. The method of claim 1, further comprising comparing the path to a different path produced for a different stimulus to which cells were exposed at multiple levels. 5. The method of claim 1, wherein at least one of the feature values characterizes cell morphology. 6. The method of claim 1, wherein at least one of the feature values characterizes a statistical property of the cells. 7. The method of claim 1, wherein at least one of the feature values is a biological classification of the cells. 8. The method of claim 7, wherein the biological classification specifies a cell cycle state of the cells. 9. The method of claim 1, wherein the multiple levels of stimulus are multiple concentrations of a therapeutic or potential therapeutic. 10. The method of claim 1, further comprising presenting a graphical representation of the path. 11. The method of claim 10, wherein the graphical representation is provided along one or more principle components obtained via a principle component analysis. 12. The method of claim 1, further comprising providing quantitative phenotypes for each of multiple stimuli; and using all the quantitative phenotypes to provide a reduced-dimensionality space in with to depict the path. 13. The method of claim 1, wherein the multiple levels of stimulus are multiple times after an initial exposure to the stimulus. 14. A computer program product comprising a machine readable medium on which is provided program instructions for determining the response of a plurality of cells of a plurality of different cell types to multiple levels of a stimulus, the program instructions comprising: program code for obtaining, for each of the multiple levels of stimulus, a plurality of feature values, at least some of which characterize the phenotype of cells exposed to the particular level of the stimulus to thereby produce a separate quantitative phenotype of the cells at each level of stimulus; and program code for identifying a path through the separate quantitative phenotypes of cells exposed to the stimulus, wherein points on the path represent quantitative phenotypes of said cells at different specified levels of the stimulus. 15. The computer program product of claim 14, wherein the stimulus is selected from the group consisting of exposure to a chemical compound, exposure to a biological agent, exposure to electromagnetic radiation, exposure to particle radiation, exposure to an electrical or magnetic field or force, exposure to a mechanical field or force, and combinations thereof. 16. The computer program product of claim 14, further comprising program instructions for comparing the path to a different path produced for a different stimulus to which cells were exposed at multiple levels. 17. The computer program product of claim 14, wherein at least some of the feature values are obtained from an image of the cells. 18. The computer program product of claim 14, wherein at least one of the feature values characterizes cell morphology. 19. The computer program product of claim 14, wherein at least one of the feature values characterizes a statistical property of the cells. 20. The computer program product of claim 14, wherein at least one of the feature values is a biological classification of the cells. 21. The computer product of claim 20, wherein the biological classification specifies a cell cycle state of the cells. 22. The computer program product of claim 14, further comprising program code for presenting a graphical representation of the path. 23. The computer program product of claim 22, wherein the graphical representation is provided along one or more principle components obtained via a principle component analysis. 24. The computer program product of claim 14, further comprising: program code for providing quantitative phenotypes for each of multiple stimuli; and program code for using all the quantitative phenotypes to provide a reduced-dimensionally space in which to depict the path. 25. The computer program product of claim 14, wherein the multiple levels of stimulus are multiple times after an initial exposure to the stimulus. 26. The computer program product of claim 14, wherein the multiple levels of stimulus are multiple concentrations of a therapeutic or potential therapeutic. 27. A method for determining whether a first compound and a second compound act on cells by a related mechanism of action, the method comprising: providing a 96-, 384-, or 1536-well plate, the wells of said plate containing a plurality of cells of a plurality of different cell types, wherein at least some of said cells have been exposed to multiple concentrations of said first compound or multiple concentrations of said second compound; for each of multiple concentrations of the first compound, obtaining a plurality of feature values characterizing the phenotype of cells exposed to the particular concentration of the first compound, to thereby produce a plurality of first concentration-specific phenotypes; identifying a first path through the first concentration-specific phenotypes of cells exposed to the first compound, wherein points on the first path represent quantitative phenotypes of said cells exposed to the first compound at different specified concentrations of the first compound; for each of multiple concentrations of the second compound, obtaining a plurality of feature values characterizing the phenotype of cells exposed to the particular concentration of the second compound, to thereby produce a plurality of second concentration-specific phenotypes; identifying a second path through second concentration-specific phenotypes of cells exposed to the second compound, wherein points on the second path represent quantitative phenotypes of said cells exposed to the second compound at different specified concentrations of the second compound; and comparing the first and second paths, wherein a degree of similarity between the paths corresponds to a degree of similarity in the mechanism of action of the first and second compounds. 28. The method of claim 27, wherein at least one of the first and second compounds is a known therapeutic or potential therapeutic. 29. The method of claim 27, wherein the multiple concentrations of the first compound vary from lowest to highest by a factor of at least about two. 30. The method of claim 27, wherein the multiple concentrations of the first compound include at least five separate concentrations of the first compound. 31. The method of claim 27, wherein the multiple concentrations of the first compound include at least eight separate concentrations of the first compound. 32. The method of claim 27, wherein obtaining a plurality of feature values characterizing the phenotype of cells exposed to the particular concentration of the first compound comprises analyzing images of a population of cells exposed to the particular concentration of the first compound. 33. The method of claim 27, wherein the plurality of feature values include numeric values characterizing one or more of the following cellular components: DNA, Golgi, cytoskeletal components, and the plasma membrane. 34. The method of claim 27, wherein the plurality of feature values include numeric values characterizing one or more of the following cellular components: DNA, Golgi, and tubulin. 35. The method of claim 27, wherein identifying the first path comprises analyzing the firs concentration-specific phenotypes via one or more of the following techniques: principal component analysis, linear and non-linear discriminant analysis, multidimensional scaling, and projection pursuit techniques. 36. The method of claim 27, wherein identifying the first path comprises analyzing the first concentration-specific phenotypes using principal component analysis. 37. The method of claim 27, wherein comparing the first and second paths comprises graphically depicting the first and second paths together. 38. The method of claim 27, wherein the graphical depiction presents the first and second paths in a space defined by principal components. 39. A computer program product comprising a machine readable medium on which is provided program instructions for determining whether a first compound and a second compound act on cells by a related mechanism of action, the program instructions comprising: program code for obtaining, for each of multiple concentrations of the first compound, a plurality of feature values characterizing the phenotype of cells exposed to the particular concentration of the first compound to thereby produce a plurality of first concentration-specific phenotypes; program code for identifying a first path through the first concentration-specific phenotypes of cells exposed to the first compounds, wherein points on the first path represent quantitative phenotypes of said cells exposed to the first compound at different specified concentrations of the first compound; program code for obtaining, for each of multiple concentrations of the second compound, a plurality of feature values characterizing the phenotype of cells exposed to the particular concentration of the second compound to thereby produce a plurality of second concentration-specific phenotypes; program code for identifying a second path through second concentration-specific phenotypes of cells exposed to the second compound, wherein points on the second path represent quantitative phenotypes of said cells exposed to the second compound at different specified concentrations of the second compound; and program code for comparing the first and second paths, wherein a degree of similarity between the paths corresponds to a degree of similarity in the mechanism of action of the first and second compounds. 40. The computer program product of claim 39, wherein at least one of the first and second compounds is a known therapeutic or potential therapeutic. 41. The computer program product of claim 39, wherein the program code for obtaining a plurality of feature values characterizing the phenotype of cells exposed to the particular concentration of the first compound comprises program code for analyzing images of a population of cells exposed to the particular concentration of the first compound. 42. The computer program product of claim 39, wherein the plurality of feature values include numeric values characterizing one or more of the following cellular components: DNA, Golgi, cytoskeletal components, and the plasma membrane. 43. The computer program product of claim 39, wherein the program code for identifying the first path comprises program code for analyzing the first concentration-specific phenotypes via one or more of the following techniques: principal component analysis, linear and non-linear discriminant analysis, multidimensional scaling, and projection pursuit techniques. 44. The computer program product of claim 39, wherein the program code for comparing the first and second paths comprises program code for graphically depicting the first and second paths together. 45. The computer program product of claim 44, wherein the graphical depiction presents the first and second paths in a space defined by principal components. 46. The computer program product of claim 39, wherein the plurality of feature values include numeric values characterizing one or more of the following cellular components: DNA, Golgi, and tubulin. 47. The computer program product of claim 39, wherein identifying the first path comprises analyzing the first concentration-specific phenotypes using principal component analysis.
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