Abstract
Single-cell RNA sequencing (sc-RNASeq) is a recently developed technique used to evaluate the transcriptome of individual cells. As opposed to conventional RNASeq in which entire populations are sequenced in bulk, sc-RNASeq can be beneficial when trying to better understand gene expression patterns in markedly heterogeneous populations of cells or when trying to identify transcriptional signatures of rare cells that may be underrepresented when using conventional bulk RNASeq. In this method, we describe the generation and analysis of cDNA libraries from single patient-derived glioblastoma cells using the C1 Fluidigm system. The protocol details the use of the C1 integrated fluidics circuit (IFC) for capturing, imaging and lysing cells; performing reverse transcription; and generating cDNA libraries that are ready for sequencing and analysis.
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Acknowledgments
We would like to thank Fluidigm for sharing schematic images on using the C1 System, and Yutong Zhang from the NYU Langone Genome Technology Center for expert technical assistance.
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Sen, R., Dolgalev, I., Bayin, N.S., Heguy, A., Tsirigos, A., Placantonakis, D.G. (2018). Single-Cell RNA Sequencing of Glioblastoma Cells. In: Placantonakis, D. (eds) Glioblastoma. Methods in Molecular Biology, vol 1741. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7659-1_12
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DOI: https://doi.org/10.1007/978-1-4939-7659-1_12
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