Abstract: The invention provides methods and compositions for the diagnosis, prognosis, and/or treatment response characterization of individuals suffering from systemic lupus erythematosus (SLE) using single cell network profiling.

Abstract: The invention provides methods, compositions, and systems for diagnosis, prognosis, evaluation of status, and/or determination of treatment for pathological conditions.

Abstract: This invention is directed to methods and compositions for diagnosis, prognosis and for determining methods of treatment. The physiological status of a cell present in a sample (e.g. clinical sample) can be used in diagnosis or prognosis of a condition (e.g. Chronic Lymphocytic Leukemia), in patient selection for therapy, to monitor treatment and to modify or optimize therapeutic regimens.

Abstract: The present invention provides an approach for the determination of the activation states of a plurality of proteins in single cells. This approach permits the rapid detection of heterogeneity in a complex cell population based on activation states, expression markers and other criteria, and the identification of cellular subsets that exhibit correlated changes in activation within the cell population. Moreover, this approach allows the correlation of cellular activities or properties. In addition, the use of modulators of cellular activation allows for characterization of pathways and cell populations. Several exemplary diseases that can be analyzed using the invention include AML, MDS, and MPN.

Abstract: Methods and compositions are described for categorizing and treating autoimmune disease, using single cell network profiling (SCNP), where activation levels of one or more activatable elements are determined in single cells, with or without modulation, to categorize or determine treatment for the autoimmune disease.

Abstract: The present invention provides an approach for the determination of the activation states of a plurality of proteins in single cells. This approach permits the rapid detection of heterogeneity in a complex cell population based on activation states, expression markers and other criteria, and the identification of cellular subsets that exhibit correlated changes in activation within the cell population. Moreover, this approach allows the correlation of cellular activities or properties. In addition, the use of modulators of cellular activation allows for characterization of pathways and cell populations. Several exemplary diseases that can be analyzed using the invention include AML, MDS, and MPN.

Abstract: In one embodiment, one or more processor-readable media storing code representing instructions that when executed by one or more processors cause the one or more processors to receive a set of parameter values defining a boundary within a data space associated with a dataset. The dataset can represent signaling related to a test substance. A first metric can be defined based on a first portion of the dataset associated with a first region defined by the boundary. A second metric can be defined based on a second portion of the dataset associated with a second region defined by the boundary after the boundary is modified. The second region can be different than the first region.

Abstract: The invention provides methods and compositions for the diagnosis, prognosis, and/or treatment response characterization of individuals suffering from systemic lupus erythematosus (SLE) using single cell network profiling.

Abstract: In one embodiment, one or more processor-readable media storing code representing instructions that when executed by one or more processors cause the one or more processors to receive a set of parameter values defining a boundary within a data space associated with a dataset. The dataset can represent signaling related to a test substance. A first metric can be defined based on a first portion of the dataset associated with a first region defined by the boundary. A second metric can be defined based on a second portion of the dataset associated with a second region defined by the boundary after the boundary is modified. The second region can be different than the first region.

Abstract: This invention is directed to methods and compositions for diagnosis, prognosis and for determining methods of treatment. The physiological status of a cell present in a sample (e.g. clinical sample) can be used in diagnosis or prognosis of a condition (e.g.

Abstract: The present invention provides an approach for the determination of the activation states of a plurality of proteins in single cells. This approach permits the rapid detection of heterogeneity in a complex cell population based on activation states, expression markers and other criteria, and the identification of cellular subsets that exhibit correlated changes in activation within the cell population. Moreover, this approach allows the correlation of cellular activities or properties. In addition, the use of modulators of cellular activation allows for characterization of pathways and cell populations. Several exemplary diseases that can be analyzed using the invention include AML, MDS, and MPN.

Abstract: Methods and compositions are described for categorizing and treating autoimmune disease, using single cell network profiling (SCNP), where activation levels of one or more activatable elements are determined in single cells, with or without modulation, to categorize or determine treatment for the autoimmune disease.

Abstract: The present invention provides an approach for the determination of the activation states of a plurality of proteins in single cells. This approach permits the rapid detection of heterogeneity in a complex cell population based on activation states, expression markers and other criteria, and the identification of cellular subsets that exhibit correlated changes in activation within the cell population. Moreover, this approach allows the correlation of cellular activities or properties. In addition, the use of modulators of cellular activation allows for characterization of pathways and cell populations. Several exemplary diseases that can be analyzed using the invention include AML, MDS, and MPN.

Abstract: The invention provides methods, compositions, and systems for diagnosis, prognosis, evaluation of status, and/or determination of treatment for pathological conditions.

Abstract: The present invention provides an approach for the determination of the activation states of a plurality of proteins in single cells. This approach permits the rapid detection of heterogeneity in a complex cell population based on activation states, expression markers and other criteria, and the identification of cellular subsets that exhibit correlated changes in activation within the cell population. Moreover, this approach allows the correlation of cellular activities or properties. In addition, the use of modulators of cellular activation allows for characterization of pathways and cell populations. Several exemplary diseases that can be analyzed using the invention include AML, MDS, and MPN.

Abstract: The present invention provides an approach for the determination of the activation states of a plurality of proteins in single cells. This approach permits the rapid detection of heterogeneity in a complex cell population based on activation states, expression markers and other criteria, and the identification of cellular subsets that exhibit correlated changes in activation within the cell population. Moreover, this approach allows the correlation of cellular activities or properties. In addition, the use of modulators of cellular activation allows for characterization of pathways and cell populations. Several exemplary diseases that can be analyzed using the invention include AML, MDS, and MPN.

Abstract: This invention is directed to methods and compositions for diagnosis, prognosis and for determining methods of treatment. The physiological status of a cell present in a sample (e.g. clinical sample) can be used in diagnosis or prognosis of a condition (e.g. Chronic Lymphocytic Leukemia), in patient selection for therapy, to monitor treatment and to modify or optimize therapeutic regimens.

Abstract: In one embodiment, one or more processor-readable media can be configured to store code representing instructions that when executed by one or more processors can cause the one or more processors to select a first relationship rule based on a first combination of parameters including a first parameter, and based on a hierarchical position of the first parameter within a hierarchical structure of a set of parameters from a biological category. A first statistical value can be defined based on a plurality of test values and based on the first relationship rule. A second statistical value can be defined based on a second relationship rule and based on a second combination of parameters. The second relationship rule can be selected based on a hierarchical position of the second parameter within the hierarchical structure of the set of parameters.

Abstract: The present invention provides an approach for the determination of the activation states of a plurality of proteins in single cells. This approach permits the rapid detection of heterogeneity in a complex cell population based on activation states, expression markers and other criteria, and the identification of cellular subsets that exhibit correlated changes in activation within the cell population. Moreover, this approach allows the correlation of cellular activities or properties. In addition, the use of modulators of cellular activation allows for characterization of pathways and cell populations. Several exemplary diseases that can be analyzed using the invention include AML, MDS, and MPN.