Cynthia M Adams

6651008, Nov 18, 2003

Nov 21, 2000

09/721154

Eugeni A. Vaisberg - Foster City CA
Cynthia L. Adams - Palo Alto CA
James H. Sabry - San Francisco CA
Anne M. Crompton - San Francisco CA

Cytokinetics, Inc. - South San Francisco CA

G06F 1900

702 21, 435 4

According to the present invention, computer based techniques for using information technology in therapeutics or drug discovery. In an exemplary embodiment, computer based techniques for determining information about the properties of substances based upon information about structure of living or non-living cells exposed to substances are provided. Computer software according to the present invention enables researchers and/or scientists to identify promising candidates in the search for new and better medicines or treatments using, for example, a cellular informatics database.

7016787, Mar 21, 2006

Feb 20, 2001

09/789595

Eugeni A. Vaisberg - Foster City CA, US
Donald R. Oestreicher - Cupertino CA, US
Cynthia L. Adams - Berkeley CA, US

Cytokinetics, Inc. - So. San Francisco CA

G01N 33/48
G06K 9/00

702 19, 382128, 382133

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.

7235353, Jun 26, 2007

Jul 18, 2003

10/623486

Larry C. Mattheakis - Cupertino CA, US
Jay Kenneth Trautman - Los Altos CA, US
Gregg Peter Solar - San Anselmo CA, US
Jinhong Fan - San Mateo CA, US
Eugeni Vaisberg - Foster City CA, US
Cynthia Lynn Adams - San Carlos CA, US
Aibing Rao - Burlingame CA, US

Cytokinetics, Inc. - South San Francisco CA

C12Q 3/00
C12Q 1/68
C12Q 1/26
C12Q 1/04
C12N 5/00

435 3, 435 6, 435 25, 435 34, 435 405, 435325, 435370, 435455

Cell based assays are used to assess the hepatotoxicity of a stimulus. Imaging technologies are used to analyze the effects of a stimulus on hepatocytes. Image analysis may characterize the stimulus on the basis of whether it is hepatotoxic, and if so what type of pathology is exhibited; e. g. , apoptosis, necrosis, cholestasis, and/or steatosis.

7657076, Feb 2, 2010

Jul 20, 2005

11/186143

Eugeni A. Vaisberg - Foster City CA, US
Donald R. Oestreicher - Cupertino CA, US
Cynthia L. Adams - Berkeley CA, US

Cytokinetics, Inc. - South San Francisco CA

G06K 9/00
G06K 9/20
G06K 9/36
G06F 19/00

382133, 382282, 382286, 702 19

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.

7817840, Oct 19, 2010

Mar 13, 2006

11/375541

Larry C. Mattheakis - Cupertino CA, US
Jay Kenneth Trautman - Los Altos CA, US
Gregg Peter Solar - San Anselmo CA, US
Jinhong Fan - San Mateo CA, US
Eugeni Vaisberg - Foster City CA, US
Cynthia Lynn Adams - San Carlos CA, US
Aibing Rao - Burlingame CA, US

Cytokinetics, Inc. - South San Francisco CA

G06K 9/00
G06K 9/36
G01N 1/30
C12Q 1/44

382133, 435 405, 435 19

Cell based assays are used to assess the hepatotoxicity of a stimulus. Imaging technologies are used to analyze the effects of a stimulus on hepatocytes. Image analysis may characterize the stimulus on the basis of whether it is hepatotoxic, and if so what type of pathology is exhibited; e. g. , apoptosis, necrosis, cholestasis, and/or steatosis.

20030228565, Dec 11, 2003

Feb 20, 2001

09/790214

Donald Oestreicher - Cupertino CA, US
James Sabry - San Francisco CA, US
Cynthia Adams - Berkeley CA, US
Eugeni Vaisberg - Foster City CA, US
Anne Crompton - San Francisco CA, US

Cytokinetics, Inc.

C12Q001/00
C12Q001/68
G06F019/00
G01N033/48
G01N033/50

435/004000, 435/006000, 702/019000, 702/020000

Techniques for using information technology in therapeutics or drug discovery. In an exemplary embodiment, techniques for determining information about the properties of substances based upon information about structure of living or non-living cells exposed to substances are provided. A method according to the present invention enables researchers and/or scientists to identify promising candidates in the search for new and better medicines or treatments using, for example, a multiple biological descriptors derived from a single cell component or marker. The method employs image analysis to extract a plurality of features (e.g., cell size, distance between cells, cell population, cell type) from an image acquisition device into the database.

20050014217, Jan 20, 2005

Nov 20, 2003

10/719988

Larry Mattheakis - Cupertino CA, US
Jay Trautman - Los Altos CA, US
Gregg Solar - San Anselmo CA, US
Jinhong Fan - San Mateo CA, US
Eugeni Vaisberg - Foster City CA, US
Cynthia Adams - San Carlos CA, US
Aibing Rao - Burlingame CA, US

G01N001/30
G01N033/48

435040500

Cell based assays are used to assess the hepatotoxicity of a stimulus. Imaging technologies are used to analyze the effects of a stimulus on hepatocytes. Image analysis may characterize the stimulus on the basis of whether it is hepatotoxic, and if so what type of pathology is exhibited; e.g., apoptosis, necrosis, cholestasis, and/or steatosis.

20050282208, Dec 22, 2005

Jun 16, 2005

11/155934

Cynthia Adams - San Carlos CA, US
Reginald de la Rosa - Concord CA, US
Shyamlal Ramchandani - San Francisco CA, US

C12Q001/68
G06F019/00

435006000, 435455000, 435325000, 702020000

Phenotypes and the cells that exhibit those phenotypes are described. The phenotype may be established as a “snapshot” of the cells at a particular time or it may be established as a variation in features over time, or as some combination of these “static” and “dynamic” characterizations. The phenotype may be characterized by at least the following features: (a) chromosomes that approach metaphase but fail to separate and maintain alignment compared to a control cell or cell population; (b) a bipolar spindle that is at least about 10% longer than a corresponding metaphase mitotic spindle from the control cell or cell population; and (c) during interphase the cell or population of cells exhibits a phenotype that is substantially similar to that of the interphase cells of the control cell or cell population.