Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/219040
Title: Integrative multi-omics increase resolution of the sea urchin posterior gut gene regulatory network at single-cell level
Author: Voronov, Danila
Paganos, Periklis
Magri, Marta Silvia
Cuomo, Claudia
Maeso, Ignacio
Gómez-Skarmeta, José Luis
Arnone, Maria Ina
Keywords: Embriologia
Eriçons de mar
Embryology
Sea urchins
Issue Date: 29-Aug-2024
Publisher: The Company of Biologists
Abstract: Drafting gene regulatory networks (GRNs) requires embryological knowledge pertaining to the cell type families, information on the regulatory genes, causal data from gene knockdown experiments and validations of the identified interactions by cis-regulatory analysis. We use multi-omics involving next-generation sequencing to obtain the necessary information for drafting the Strongylocentrotus purpuratus (Sp) posterior gut GRN. Here, we present an update to the GRN using: (1) a single-cell RNA-sequencing-derived cell atlas highlighting the 2 day-post-fertilization (dpf) sea urchin gastrula cell type families, as well as the genes expressed at the single-cell level; (2) a set of putative cis-regulatory modules and transcription factor-binding sites obtained from chromatin accessibility ATAC-seq data; and (3) interactions directionality obtained from differential bulk RNA sequencing following knockdown of the transcription factor Sp-Pdx1, a key regulator of gut patterning in sea urchins. Combining these datasets, we draft the GRN for the hindgut Sp-Pdx1 -positive cells in the 2 dpf gastrula embryo. Overall, our data suggest the complex connectivity of the posterior gut GRN and increase the resolution of gene regulatory cascades operating within it.
Note: Reproducció del document publicat a: https://doi.org/10.1242/dev.202278
It is part of: Development, 2024, vol. 151, num.16
URI: https://hdl.handle.net/2445/219040
Related resource: https://doi.org/10.1242/dev.202278
ISSN: 0950-1991
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)

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