Data di Pubblicazione:
2023
Citazione:
(2023). Integration of scATAC-Seq with scRNA-Seq Data . Retrieved from https://hdl.handle.net/10446/236496
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.
Tipologia CRIS:
1.2.01 Contributi in volume (Capitoli o Saggi) - Book Chapters/Essays
Elenco autori:
Berest, Ivan; Tangherloni, Andrea
Link alla scheda completa:
Titolo del libro:
Single Cell Transcriptomics: Methods and Protocols
Pubblicato in: