IP Library Granted Patent US 9,329,170
Granted Patent B2
US 9,329,170 · App. 12/657,457 · Granted May 3, 2016

Single cell gene expression for diagnosis, prognosis and identification of drug targets

Inventors: Michael F. Clarke (Palo Alto, CA); Stephen R. Quake (Stanford, CA); Piero D. Dalerba (Palo Alto, CA); Huiping Liu (Chicago, IL); Anne Leyrat (San Carlos, CA); Tomer Kalisky (Palo Alto, CA); Maximilian Diehn (Stanford, CA); Jianbin Wang (Stanford, CA)
Assignee: The Board of Trustees of the Leland Stanford Junior University
G01N33/5023C12Q1/6886C12Q2600/106C12Q2600/112C12Q2600/136C12Q2600/178G01N2800/52
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Quick Facts
Patent No.
US 9,329,170
App. No.
12/657,457
Filed
Jan 20, 2010
Granted
May 3, 2016
Kind
B2
Art Unit
1658
USPC
435/6.1
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.

Claims (16)

1. 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.

2. The method of claim 1 , wherein said individual cells are not enriched prior to said partitioning.

3. The method of claim 1 , wherein said transcriptome analysis is performed on at least 1000 individual cells in parallel.

4. The method of claim 1 , wherein said transcriptome analysis is performed using nucleic acid analysis.

5. The method of claim 1 , wherein said discrete locations are on a microarray.

6. The method of claim 1 , wherein said transcriptome analysis comprises analyzing expressed RNA, non-expressed RNA, or both.

7. The method of claim 1 , wherein said transcriptome analysis is whole transcriptome analysis.

8. The method of claim 1 , wherein said transcriptome analysis comprises amplifying RNA using a set of at least five primer pairs.

9. The method of claim 8 , wherein said at least five primer pairs are not nested primers.

10. The method of claim 1 , wherein said transcriptome analysis is performed in parallel or substantially in real time on said individually sorted cells.

11. The method of claim 1 , wherein said different cell populations are non-cancerous stem cells, non-cancerous progenitor cells, non-cancerous mature cells, inflammatory cells, cancer cells, cancer stem cells or non-tumorigenic cancer stem cells.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 8, 2014
From: WANG, JIANBIN
To: THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY
Reel/Frame 033264/0362 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 21, 2010
From: CLARKE, MICHAEL F.; QUAKE, STEPHEN R.; DALERBA, PIERO D.; LIU, HUIPING; LEYRAT, ANNE; KALISKY, TOMER; MAXIMILIAN, DIEHN
To: THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY
Reel/Frame 024569/0358 →
CONFIRMATORY LICENSE Recorded Mar 16, 2010
From: STANFORD UNIVERSITY
To: NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT
Reel/Frame 024086/0085 →
Continuity (2)
Provisional Application 61205485 · Jan 20, 2009
Related Publication 20100255471A1 · Oct 7, 2010