Methods of assaying proteins
AssigneeNautilus Subsidiary, Inc.
InventorParag Mallick
Life of this patent
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Abstract
Methods and systems for identifying a protein within a sample are provided herein. A panel of antibodies are acquired, none of which are specific for a single protein or family of proteins. Additionally, the binding properties of the antibodies in the panel are determined. Further, the protein is iteratively exposed to a panel of antibodies. Additionally, a set of antibodies which bind the protein are determined. The identity of the protein is determined using one or more deconvolution methods based on the known binding properties of the antibodies to match the set of antibodies to a sequence of a protein.
Claims19
A method of assaying proteins, comprising:
- (a) providing a plurality of different proteins, individual proteins of the plurality being immobilized at unique spatial addresses, respectively;
- (b) iteratively exposing the plurality of immobilized proteins to different affinity reagents, individual affinity reagents of the different affinity reagents binding to two or more different proteins of the plurality of different proteins, and each of the individual affinity reagents having a known degree of binding non-specificity for the plurality of different proteins;
- (c) determining for the unique spatial addresses, respectively:
- (i) a set of the affinity reagents that bind to the individual protein at the unique spatial address, and
- (ii) a set of the affinity reagents that do not bind to the individual protein at the unique spatial address,
- thereby determining a pattern of binding of the affinity reagents at the unique spatial addresses, respectively;
- and
- (d) identifying individual proteins of the plurality of different proteins using the known degree of binding non-specificity of the affinity reagents and the pattern of binding of the affinity reagents at the unique spatial addresses, respectively,
- wherein identifying the individual proteins comprises determining the most likely identity of the individual proteins using a Bayesian inference algorithm.
Dependencies are inferred from the claim text.