During the last decade, the rapid progress in the development of next-generation sequencing (NGS) technologies has provided relevant insights into complex biological systems, ranging from cancer genomics to microbiology. Among NGS technologies, single-cell RNA sequencing is currently used to decipher the complex heterogeneity of several biological samples, including T cells. Even if this technique requires specialized equipment and expertise, nowadays it is broadly applied in research. In this chapter, we will provide an optimized protocol for the isolation of T cells and the preparation of RNA sequencing libraries by using droplet digital technology (ddSEQ, Bio-Rad Laboratories). We will also illustrate a guide to the main steps of data processing and options for data interpretation. This protocol will support users in building a single-cell experimental framework, from sample preparation to data interpretation.

Gene expression analysis of T-cells by single-cell RNA-seq / Lo Tartaro, D.; De Biasi, S.; Forcato, M.; Gibellini, L.; Cossarizza, A.. - 2285:(2021), pp. 277-296. [10.1007/978-1-0716-1311-5_22]

Gene expression analysis of T-cells by single-cell RNA-seq

De Biasi S.;Forcato M.;Gibellini L.;Cossarizza A.
2021

Abstract

During the last decade, the rapid progress in the development of next-generation sequencing (NGS) technologies has provided relevant insights into complex biological systems, ranging from cancer genomics to microbiology. Among NGS technologies, single-cell RNA sequencing is currently used to decipher the complex heterogeneity of several biological samples, including T cells. Even if this technique requires specialized equipment and expertise, nowadays it is broadly applied in research. In this chapter, we will provide an optimized protocol for the isolation of T cells and the preparation of RNA sequencing libraries by using droplet digital technology (ddSEQ, Bio-Rad Laboratories). We will also illustrate a guide to the main steps of data processing and options for data interpretation. This protocol will support users in building a single-cell experimental framework, from sample preparation to data interpretation.
2021
Methods in Molecular Biology
978-1-0716-1310-8
978-1-0716-1311-5
Humana Press Inc.
Gene expression analysis of T-cells by single-cell RNA-seq / Lo Tartaro, D.; De Biasi, S.; Forcato, M.; Gibellini, L.; Cossarizza, A.. - 2285:(2021), pp. 277-296. [10.1007/978-1-0716-1311-5_22]
Lo Tartaro, D.; De Biasi, S.; Forcato, M.; Gibellini, L.; Cossarizza, A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1250046
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