Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/134326
Title: Leveraging single-cell ATAC-seq data to gain insights into the cell-type selective component of the human pancreatic islet regulome
Author: Castillo Bonilla, Andrés
Tutor: Garrido Martín, Diego
Ferrer, Jorge  
Others: Calvet Liñán, Laura  
Abstract: ATAC-seq is essential for profiling chromatin accessibility and characterizing the transcriptional regulatory landscape. However, the recent shift towards the study of heterogeneous cell populations poses a challenge for bulk ATAC-seq. Thus, single-cell ATAC-seq has emerged as a response to the limitations of bulk ATACseq when studying cellular heterogeneity. We aim to to characterize the cell-typeselective component of enhancers using scATAC-seq data. To achieve this purpose, we a) annotate regulome signatures across cell-type selective open chromatin regions, b) estimate TF motif enrichment among cell-type selective enhancers, c) detect accessible cell-type selective enhancers that show robust TF binding and d) identify T2D-associated SNPs affecting TF binding across celltype selective enhancers. Motif enrichment analysis presented well-defined groups of TF motifs enriched across islet cell-type selective enhancers. TF motif occurrences across cell-type selective enhancers showed that enhancers bound by a given TF was consistent with the cell-type selective clustering observed in the TF motif enrichment analysis. Finally, the integration of TF-binding characterizing islet cell-type enhancers with fine-mapped T2D genetic variants allowed us to propose the most likely molecular mechanism underlying a few T2D risk loci.
Keywords: human pancreatic islet
genome regulation
genetic
Document type: info:eu-repo/semantics/masterThesis
Issue Date: Jun-2021
Publication license: http://creativecommons.org/licenses/by-nc-nd/3.0/es/  
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