Single Cell Analysis
Many biological experiments are performed on groups of cells, under the assumption that all cells of a particular “type” are identical. However, recent evidence from studies of single cells reveals that this assumption is incorrect. Individual cells within the same population may differ dramatically, and these differences can have important consequences for the health and function of the entire population.
Massively parallel polymerase cloning and genome sequencing of single cells using nanoliter microwells
Genome sequencing of single cells has a variety of applications, including characterizing difficult-to-culture microorganisms and identifying somatic mutations in single cells from mammalian tissues.
Cellular barcodes for single cell profiling
Dr. Christopher Love at the Massachusetts Institute of Technology and colleagues have developed techniques to label heterogeneous or homogeneous cells using “barcoding” (i.e. combinatorial application of dyes, streptavidin/biotin or antibody labels), sort the barcoded cells into small wells, and then characterize the cytokines (signaling molecules) produced by the cell(s) in each of the wells.
Save the Date! 2014 Annual PI Meeting Information
The 2nd Annual Single Cell Analysis Investigators Meeting is scheduled for April 21-22, 2014 at the Neuroscience Center on 6001 Executive Blvd, Rockville, MD 20852. Please save the date! More details related to the agenda, registration, and lodging will be available at a later time.
NEW! Funding Opportunity Announcement for Single Cell Analysis Program.
Development of Highly Innovative Tools and Technology for Analysis of Single Cells
This FOA is affiliated with the Common Fund Single Cell Analysis Program (SCAP), but is not receiving direct Common Fund support. Awards made through this FOA will be funded by participating component NIH Institutes and Centers.
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