Single Cell Isolation and Genetic Analysis

Studies have shown that gene expression is invariably heterogeneous even when comparing similar cell types. Furthermore, such stochastic variations in the gene expression have important implications for cell fate decisions. Differences in transcriptomes may also provide critical information on the composition of cell types in diseased tissues, including tumors that are heterogeneous and could contain a small number of cancer stem cells. To comprehend the basis and significance of heterogeneity and stochastic aspect of gene expression, it is essential to examine transcriptomes of individual cells.

The Fluidigm C1 is the world's first automated solution for single-cell genomics research and continues to break new ground. The C1 lets you prepare single-cell templates for mRNA sequencing, DNA sequencing, epigenetics or miRNA expression. Reflected in over 100 published studies, the breadth of C1 applications empowers users to survey cell diversity, identify rare cell types and characterize cellular functions, all on the same single-cell biology platform. Investigate tissue heterogeneity with transcript end counting, use T cell receptor sequencing and other full-length mRNA-seq protocols to recognize isoform- and receptor-specific expression, examine gene-specific and microRNA expression and perform epigenetic analysis and identify genomic variants.

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