The J. David Gladstone Institutes

Leland Stanford Junior University

Martin Bigos

Douglas F Nixon

Paul Klenerman

Adrian B McDermott

Scott Furlan

Megan Sheehy

Leonore A Herzenberg

David R Parks

Wayne A Moore

Mario Roederer

Adam S Treister

The present invention provides methods of detecting specific lysis of a cell by a lytic agent. The methods generally involve contacting a labeled target cell with a lytic agent; and detecting fluorescence in the target cell. The target cells are labeled with two fluorescent labels: a first fluorescent label that labels the plasma membrane; and a second fluorescent label that labels the cytosol. Release of the cytosolic label from the target cell indicates that the target cell has been lysed. The invention further provides methods of detecting the presence in a sample of a cell that specifically lyses a target cell. The invention further provides methods of detecting the presence in a sample of an antibody that specifically lyses a target cell. The methods are useful in a variety of applications.

Methods of detecting specific cell lysis

This invention relates a series of methods for the visual representation and subsequent application of analyses on complex data sets. In particular, this invention is useful for the analysis of multiple sample sets that share common features, for which similar types of analyses are desired. Three concepts are embodied to aid in this analysis: &ldquo;Functional equivalence by Algorithmic Polymorphism&rdquo; (FEAP), in which an analysis algorithm is abstracted through the use of an associated name; a genealogical metaphor for the representation of successive or parallel analysis steps, in which &ldquo;families&rdquo; of analyses can be easily copied between different sample data sets; and batch analysis through the creation of multi-sample analysis surrogates (MSAS), which are groups of samples wherein analyses applied to an MSAS is then applied to every sample within the MSAS group. This invention has particular utility in the analysis of data derived from flow cytometers, the analysis of complex demographic data, and other similar data sets.

Methods for analysis of large sets of multiparameter data

Growing community of inventors

San Francisco, CA, United States of America

Martin Bigos