Single cell gene expression for diagnosis, prognosis and identification of drug targets
AssigneeThe Board of Trustees of the Leland Stanford Junior University
InventorsMichael F. Clarke, Stephen R. Quake, Piero D. Dalerba, Huiping Liu, Anne Leyrat, Tomer Kalisky, Maximilian Diehn, Jianbin Wang
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Abstract
Methods are provided for diagnosis and prognosis of disease by analyzing expression of a set of genes obtained from single cell analysis. Classification allows optimization of treatment, and determination of whether on whether to proceed with a specific therapy, and how to optimize dose, choice of treatment, and the like. Single cell analysis also provides for the identification and development of therapies which target mutations and/or pathways in disease-state cells.
Claims11
A method of identifying different cell populations in a heterogeneous cell sample, comprising:
- randomly partitioning individual cells from said heterogeneous cell sample into discrete locations on a cell capture array with wells just large enough to fit a single cell;
- identifying certain individually partitioned cells in the discrete locations on the cell capture array using one or more surface markers;
- sorting the certain individually partitioned cells from the discrete locations using a microfluidic device;
- performing transcriptome analysis on a plurality of genes of the individually sorted cells from the discrete locations;
- and
- performing clustering analysis to identify different cell populations.
Dependencies are inferred from the claim text.