08:00 | Registration |
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Single Cell Imaging |
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08:30 |  | Keynote Presentation Imaging and Functional Manipulation in Cells and Cell Mimics
Steven Boxer, Professor, Stanford University, United States of America
A range of tools is being applied to image single cells using imaging mass spectrometry and manipulate cells using DNA-lipid conjugates and split GFP variants. These tools are developed using model membrane architectures.
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09:30 | Tracking Stem Cell Fate Choices at Single Cell Level
Adrian Ranga, Senior Scientist, Ecole Polytechnique Federale de Lausanne, Switzerland
We tackle the problem of complexity in the stem cell niche by developing novel platforms and tools which enable us to perform high-throughput combinatorial methods to assess cell fate at single cell resolution. |
10:15 | Coffee & Networking in Exhibition Hall |
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Microfluidics and Single Cell Analysis |
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10:45 | Probing Cellular Heterogeneity in Cytokine-secreting Cells using High-throughput Droplet-based Microfluidics
Jurjen Tel, Postdoctoral Fellow, Radboud University Nijmegen Medical Centre, Netherlands
In this presentation I will highlight the necessity of single cell analysis tools and I will discuss data that were obtained by our developed microfluidic platform to detect cytokine secretion by single cells. |
11:30 | Towards Single Cell Analysis of Proteins from Clinical Samples Relevant to Human Health
David Klug, Co-Founder/Professor, Imperial College London, United Kingdom
The latest methods in use in my lab for single cell analysis are presented including preliminary results from clinical samples.
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12:15 | Lunch & Networking in Exhibition Hall |
12:30 | Poster Viewing Session |
13:00 |  Free Workshop
Takara Clontech Lunchtime Workshop - Improved cDNA Library Generation for Transcriptome Analysis from a Single Cell
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Single Cell Analysis of Clinically Relevant Cells |
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14:00 | Parallel Single Cancer Cell Analysis
Séverine Le Gac, Professor, Applied Microfluidics for Bioengineering Research, MESA+ Institute for Nanotechnology, University of Twente, Netherlands
Here, we present the development of microfluidic tools to achieve essential steps of a parallel single cell analysis protocol, namely for the large-scale trapping of individual cells in dedicated structures, for in situ cell staining for, e.g., cancer cell identification in mixed cell populations, electrical lysis of individual cells followed by the retrieval of their content, and mapping of point mutations after on-chip whole genome amplification and off-chip sequencing. |
14:45 | Single Cell Analysis of Rare Cells
Thomas Kroneis, Head, Medical University of Graz, Austria
The analysis of rare cells longs to focus on two major issues, namely the enrichment for and the detection and confirmation of candidate rare cells allowing for reasonable downstream analysis. In my talk I will address both issues and point out possible pitfalls in the context of rare cell analysis based on our experience in the analysis of circulating fetal cells, maternal microchimerism and circulating tumor cells.
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15:30 | Coffee & Networking in Exhibition Hall |
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Single Cell Expression Profiling |
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16:00 | Detection and Expression Profiling of Tumor Initiating Cells (TIC) Among the Peripherally Circulating Epithelial Tumor Cells from Patients with Breast Cancer
Katharina Pachmann, Professor, University of Jena, Germany
Among the peripherally circulating tumor cells a variable fraction is able to express stem cell and adhesion properties and can be grown into tumor spheres, a property ascribed to cells capable of initiating tumors and metastases. |
16:45 | Taking Single Cell Expression Profiling to New Dimensions
Mikael Kubista, Professor/Founder, TATAA Biocenter AB, Sweden
In the first part of my talk I will describe high throughput single cell profiling of astrocytes from mouse brains performed over time after induced trauma. The profiling reveals how the brain responds to the injury, activating the astrocytes to attempt repair. Expression of many genes, measured in large number of cells, over time is a so called multiway study, from which most valuable information about the molecular processes involved and expression pathways active can be extracted with powerful multivariate tools such as dynamic PCA available in the GenEx software. In the second part of my talk I will present single cell multianalyte profiling, showing how DNA, mRNA, microRNA, lncRNA, and protein can be measured in the same cell. |
17:30 | Roundtable Discussion
Mikael Kubista, Professor/Founder, TATAA Biocenter AB, Sweden
• What contributes to single cell heterogeneity?
• (Why) are mRNA and protein expression bursts at different time scales?
• How do we define cell type? Can single cell profiling help?
• Single cell analysis in clinical practice? What´s needed?
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