Back to results
US 2025/0372201 A1Published application
Methods and systems for analysis of receptor interaction
OwnerPeter Hawkinsinventor
Life of this patent
Estimating the term…
Abstract
A computational framework for high-throughput mapping, validating, and predicting receptor sequence interactions is described. A method includes pre-processing sequence data, adjusting data for noise, generating intermediate strength of interaction data, aggregating the intermediate strength of interaction data based on dextramer clustering and based on TCR clustering, and generating final relative strength of interaction data that identifies reliable TCR-pMHC binding events.
Claims20
A method comprising:
- determining, for each of a plurality of droplets ribonucleic acid (RNA) sequence data, T-cell receptor (TCR) sequence data, and dextramer sequence data;
- determining, based on the dextramer sequence data and droplets of the plurality of droplets comprising a single cell and at least one TCR sequence, dextramer data indicating a count of each of the one or more dextramers present in each cell-containing droplet of the plurality of droplets;
- generating, based on the dextramer data, intermediate relative strength of interaction data indicating a clonal specificity threshold and indicating a strength of interaction for a TCR satisfying a threshold with each of the one or more dextramers;
- aggregating, based on one or more dextramer clusters of the one or more dextramer having a measure of similarity determined based on the dextramer sequence data, data of the intermediate relative strength of interaction data into final strength of interaction data;
- and
- outputting the final strength of interaction data.
3 more elements
A system comprising:
- a first computing device configured to:
- determine, for each of a plurality of droplets ribonucleic acid (RNA) sequence data, T-cell receptor (TCR) sequence data, and dextramer sequence data;
- determine, based on the dextramer sequence data and droplets of the plurality of droplets comprising a single cell and at least one TCR sequence, dextramer data indicating a count of each of the one or more dextramers present in each cell-containing droplet of the plurality of droplets;
- generate, based on the dextramer data, intermediate relative strength of interaction data indicating a clonal specificity threshold and indicating a strength of interaction for a TCR satisfying a threshold with each of the one or more dextramers;
- aggregate, based on one or more TCR clusters having a measure of similarity determined based on the TCR sequence data, data of the intermediate relative strength of interaction data into final strength of interaction data;
- and
- output the final strength of interaction data;
- and
- a second computing device configured to receive the final strength of interaction data.
6 more elements
One or more non-transitory computer-readable media storing processor-executable instructions that, when executed by at least one processor, cause the at least one processor to:
- determine, for each of a plurality of droplets ribonucleic acid (RNA) sequence data, T-cell receptor (TCR) sequence data, and dextramer sequence data;
- determine, based on the dextramer sequence data and droplets of the plurality of droplets comprising a single cell and at least one TCR sequence, dextramer data indicating a count of each of the one or more dextramers present in each cell-containing droplet of the plurality of droplets;
- generate, based on the dextramer data, intermediate relative strength of interaction data indicating a clonal specificity threshold and indicating a strength of interaction for a TCR satisfying a threshold with each of the one or more dextramers;
- aggregate, based on one or more dextramer clusters of the one or more dextramer having a measure of similarity determined based on the dextramer sequence data, data of the intermediate relative strength of interaction data into final strength of interaction data;
- and
- output the final strength of interaction data.
3 more elements
Dependencies are inferred from the claim text.