Single-cell-based models in biology and medicine

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However, there is scant knowledge about the bias of different microcultivation technologies on cellular functions. We therefore performed a systematic cross-platform comparison of three different microscale cultivation systems commonly harnessed in single-cell analysis: microfluidic non-contact cell traps driven by negative dielectrophoresis, microfluidic monolayer growth chambers, and semi-solid agarose pads.

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Gersbach, Ph. Abstract The study of cell lineage commitment is critical to improving our understanding of tissue development and regeneration and to enhancing stem cell-based therapies and engineered tissue replacements. Recently, the discovery of an unanticipated degree of variability in fundamental biological processes, including divergent responses of genetically identical cells to various stimuli, has provided mechanistic insight into cellular decision making and the collective behavior of cell populations. Therefore the study of lineage commitment with single-cell resolution could provide greater knowledge of cellular differentiation mechanisms and the influence of noise on cell processes.

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At Helmholtz Zentrum München, a method of targeted RNA sequencing transcriptome analysis has now been developed, which precisely detects the smallest amounts of gene transcripts in single cells. The method enables the identification and enrichment of individual selected molecules in a sample in order to investigate their cellular function.

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