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High Throughput Single Cell RNA Sequencing, Bioinformatics Analysis and Applications

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Single Cell Biomedicine

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1068))

Abstract

Single cell sequencing (SCS) can be harnessed to acquire the genomes, transcriptomes and epigenomes from individual cells. Next generation sequencing (NGS) technology is the driving force for single cell sequencing. scRNA-seq requires a lengthy pipeline comprising of single cell sorting, RNA extraction, reverse transcription, amplification, library construction, sequencing and subsequent bioinformatic analysis. Computational algorithms are essential to fulfill many tasks of interest using scRNA-seq data. scRNA-seq has already enabled researchers to revisit long-standing questions in cancer biology, including cancer metastasis, heterogeneity and evolution. Circulating Tumor Cells (CTC) are not only an important mechanism for cancer metastasis, but also provide a possibility to diagnose and monitor cancer in a convenient way independent of surgical resection of the cancer.

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  1. Authors Xiaoyun Huang and Shiping Liu have equally contributed with all other contributors.

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  1. BGI-Shenzhen, Shenzhen, China

    Xiaoyun Huang, Shiping Liu, Liang Wu, Miaomiao Jiang & Yong Hou

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  1. Xiaoyun Huang
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  2. Shiping Liu
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  3. Liang Wu
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Correspondence to Yong Hou .

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  1. Henan Provincial People’s Hospital, Zhengzhou, Henan, China

    Jianqin Gu

  2. Shanghai Institute of Clinical Bioinformatics, Zhongshan Hospital, Fudan University, Shanghai, China

    Xiangdong Wang

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Huang, X., Liu, S., Wu, L., Jiang, M., Hou, Y. (2018). High Throughput Single Cell RNA Sequencing, Bioinformatics Analysis and Applications. In: Gu, J., Wang, X. (eds) Single Cell Biomedicine. Advances in Experimental Medicine and Biology, vol 1068. Springer, Singapore. https://doi.org/10.1007/978-981-13-0502-3_4

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