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Computational Analysis of Single-Cell RNA-Seq Data. 2021

Luca Alessandrì, and Francesca Cordero, and Marco Beccuti, and Maddalena Arigoni, and Raffaele A Calogero
Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy.

Single-cell RNAseq data can be generated using various technologies, spanning from isolation of cells by FACS sorting or droplet sequencing, to the use of frozen tissue sections retaining spatial information of cells in their morphological context. The analysis of single cell RNAseq data is mainly focused on the identification of cell subpopulations characterized by specific gene markers that can be used to purify the population of interest for further biological studies. This chapter describes the steps required for dataset clustering and markers detection using a droplet dataset and a spatial transcriptomics dataset.

UI MeSH Term Description Entries
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000073359 Exome Sequencing Techniques used to determine the sequences of EXONS of an organism or individual. Complete Exome Sequencing,Complete Transcriptome Sequencing,Whole Exome Sequencing,Whole Transcriptome Sequencing,Complete Exome Sequencings,Exome Sequencing, Complete,Exome Sequencing, Whole,Exome Sequencings, Complete,Sequencing, Complete Exome,Sequencing, Complete Transcriptome,Sequencing, Exome,Sequencing, Whole Exome,Sequencing, Whole Transcriptome,Transcriptome Sequencing, Complete,Transcriptome Sequencing, Whole,Transcriptome Sequencings, Complete
D000081246 RNA-Seq High-throughput nucleotide sequencing techniques developed for determining and analyzing the composition of the TRANSCRIPTOME of a sample. Whole Transcriptome Shotgun Sequencing
D016000 Cluster Analysis A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both. Clustering,Analyses, Cluster,Analysis, Cluster,Cluster Analyses,Clusterings
D017423 Sequence Analysis, RNA A multistage process that includes cloning, physical mapping, subcloning, sequencing, and information analysis of an RNA SEQUENCE. RNA Sequence Analysis,Sequence Determination, RNA,Analysis, RNA Sequence,Determination, RNA Sequence,Determinations, RNA Sequence,RNA Sequence Determination,RNA Sequence Determinations,RNA Sequencing,Sequence Determinations, RNA,Analyses, RNA Sequence,RNA Sequence Analyses,Sequence Analyses, RNA,Sequencing, RNA
D059010 Single-Cell Analysis Assaying the products of or monitoring various biochemical processes and reactions in an individual cell. Analyses, Single-Cell,Analysis, Single-Cell,Single Cell Analysis,Single-Cell Analyses
D059014 High-Throughput Nucleotide Sequencing Techniques of nucleotide sequence analysis that increase the range, complexity, sensitivity, and accuracy of results by greatly increasing the scale of operations and thus the number of nucleotides, and the number of copies of each nucleotide sequenced. The sequencing may be done by analysis of the synthesis or ligation products, hybridization to preexisting sequences, etc. High-Throughput Sequencing,Illumina Sequencing,Ion Proton Sequencing,Ion Torrent Sequencing,Next-Generation Sequencing,Deep Sequencing,High-Throughput DNA Sequencing,High-Throughput RNA Sequencing,Massively-Parallel Sequencing,Pyrosequencing,DNA Sequencing, High-Throughput,High Throughput DNA Sequencing,High Throughput Nucleotide Sequencing,High Throughput RNA Sequencing,High Throughput Sequencing,Massively Parallel Sequencing,Next Generation Sequencing,Nucleotide Sequencing, High-Throughput,RNA Sequencing, High-Throughput,Sequencing, Deep,Sequencing, High-Throughput,Sequencing, High-Throughput DNA,Sequencing, High-Throughput Nucleotide,Sequencing, High-Throughput RNA,Sequencing, Illumina,Sequencing, Ion Proton,Sequencing, Ion Torrent,Sequencing, Massively-Parallel,Sequencing, Next-Generation
D019295 Computational Biology A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets. Bioinformatics,Molecular Biology, Computational,Bio-Informatics,Biology, Computational,Computational Molecular Biology,Bio Informatics,Bio-Informatic,Bioinformatic,Biologies, Computational Molecular,Biology, Computational Molecular,Computational Molecular Biologies,Molecular Biologies, Computational
D020869 Gene Expression Profiling The determination of the pattern of genes expressed at the level of GENETIC TRANSCRIPTION, under specific circumstances or in a specific cell. Gene Expression Analysis,Gene Expression Pattern Analysis,Transcript Expression Analysis,Transcriptome Profiling,Transcriptomics,mRNA Differential Display,Gene Expression Monitoring,Transcriptome Analysis,Analyses, Gene Expression,Analyses, Transcript Expression,Analyses, Transcriptome,Analysis, Gene Expression,Analysis, Transcript Expression,Analysis, Transcriptome,Differential Display, mRNA,Differential Displays, mRNA,Expression Analyses, Gene,Expression Analysis, Gene,Gene Expression Analyses,Gene Expression Monitorings,Gene Expression Profilings,Monitoring, Gene Expression,Monitorings, Gene Expression,Profiling, Gene Expression,Profiling, Transcriptome,Profilings, Gene Expression,Profilings, Transcriptome,Transcript Expression Analyses,Transcriptome Analyses,Transcriptome Profilings,mRNA Differential Displays
D066264 Datasets as Topic Subject matter related to the curation of data from research projects, stored permanently in a formalized manner suitable for communication, interpretation, or processing. Dataset as Topic,Data Sets as Topic

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