| Literature DB >> 31933197 |
Annabel Ferguson1, Kong Chen2.
Abstract
RNA sequencing has proven to be a key innovation for the study of biological processes by enabling scientists to measure differences in gene expression in different tissues.With recent advances in sequencing technology, researchers are able to measure gene transcription at the single-cell level, revealing previously unknown diversity and specificity of immune cells. The single-cell sequencing method now enables profiling of the T-cell receptor (TCR) genes resulting from V(D)J recombination.Here we describe how to adapt single-cell RNA sequencing data generated using the 10× genomics 5'V(D)J immune cell profiling workflow for integration into the R analysis pipeline.We will start with the data matrix files generated from the 10× genomics Cell Ranger alignment software and detail how to format this data as input for the R analysis package called Seurat such that data from both the overall cell transcript abundance and the targeted V(D)J transcript abundance data can be visualized on the same plots.Keywords: 10× genomics V(D)J; Drop-seq; Single-cell RNA sequencing; T-cell receptor repertoire profiling
Mesh:
Substances:
Year: 2020 PMID: 31933197 DOI: 10.1007/978-1-0716-0266-9_4
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745