Single-cell studies are enabling our understanding of the molecular processes of normal cell development and the onset of several pathologies. For instance, single-cell RNA sequencing (scRNA-Seq) measures the transcriptome-wide gene expression at a single-cell resolution, allowing for studying the heterogeneity among the cells of the same population and revealing complex and rare cell populations. On the other hand, single-cell Assay for Transposase-Accessible Chromatin using sequencing (scATAC-Seq) can be used to define transcriptional and epigenetic changes by analyzing the chromatin accessibility at the single-cell level. However, the integration of multi-omics data still remains one of the most difficult tasks in bioinformatics. In this chapter, we focus on the combination of scRNA-Seq and scATACSeq data to perform an integrative analysis of the single-cell transcriptome and chromatin accessibility of human fetal progenitors.

(2023). Integration of scATAC-Seq with scRNA-Seq Data . Retrieved from https://hdl.handle.net/10446/236496

Integration of scATAC-Seq with scRNA-Seq Data

Tangherloni, Andrea
2023-01-01

Abstract

Single-cell studies are enabling our understanding of the molecular processes of normal cell development and the onset of several pathologies. For instance, single-cell RNA sequencing (scRNA-Seq) measures the transcriptome-wide gene expression at a single-cell resolution, allowing for studying the heterogeneity among the cells of the same population and revealing complex and rare cell populations. On the other hand, single-cell Assay for Transposase-Accessible Chromatin using sequencing (scATAC-Seq) can be used to define transcriptional and epigenetic changes by analyzing the chromatin accessibility at the single-cell level. However, the integration of multi-omics data still remains one of the most difficult tasks in bioinformatics. In this chapter, we focus on the combination of scRNA-Seq and scATACSeq data to perform an integrative analysis of the single-cell transcriptome and chromatin accessibility of human fetal progenitors.
scientifica
Inglese
11-dic-2022
2023
Single Cell Transcriptomics: Methods and Protocols
Calogero, Raffaele A.; Benes, Vladimir
cartaceo
online
978-1-0716-2755-6
2584
293
310
United States
New York (NY)
Humana New York
Settore INF/01 - Informatica
Bioinformatics; Integrative analysis; Multi-omics; scATAC-seq; scRNA-seq
indice del volume consultabile alla pagina https://link.springer.com/book/10.1007/978-1-0716-2756-3
info:eu-repo/semantics/bookPart
(2023). Integration of scATAC-Seq with scRNA-Seq Data . Retrieved from https://hdl.handle.net/10446/236496
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1.2 Contributi in volume - Book chapters::1.2.01 Contributi in volume (Capitoli o Saggi) - Book Chapters/Essays
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Berest, Ivan; Tangherloni, Andrea
2
268
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