Integrative multi-omics increase resolution of the sea urchin posterior gut gene regulatory network at single cell level.
Danila VoronovPeriklis PaganosMarta Silvia MagriClaudia CuomoIgnacio MaesoJosé Luis Gómez-SkarmetaMaria Ina ArnonePublished in: Development (Cambridge, England) (2024)
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 (-seq) to obtain the necessary information for drafting Strongylocentrotus purpuratus posterior gut GRN. Here we present an update to the GRN using i) a single cell RNA-seq derived cell atlas highlighting the 2 day post fertilization (dpf) sea urchin gastrula cell type families, as well as the genes expressed at single cell level, ii) a set of putative cis-regulatory modules and transcription factor (TF) binding sites obtained from chromatin accessibility ATAC-seq data, and iii) interactions directionality obtained from differential bulk RNA-seq following knockdown of the TF 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 suggests the complex connectivity of the posterior gut GRN and increases the resolution of gene regulatory cascades operating within it.
Keyphrases
- single cell
- rna seq
- transcription factor
- genome wide identification
- genome wide
- high throughput
- electronic health record
- big data
- dna binding
- copy number
- healthcare
- gene expression
- induced apoptosis
- dna methylation
- health information
- stem cells
- single molecule
- dna damage
- signaling pathway
- bone marrow
- machine learning
- multiple sclerosis
- cell death
- pregnant women
- endoplasmic reticulum stress
- social media
- circulating tumor cells