SUPR
Interrogation of Enteric Nervous System Cell Diversity
Dnr:

NAISS 2024/6-220

Type:

NAISS Medium Storage

Principal Investigator:

Ulrika Marklund

Affiliation:

Karolinska Institutet

Start Date:

2024-07-01

End Date:

2025-07-01

Primary Classification:

10614: Developmental Biology

Secondary Classification:

30108: Cell and Molecular Biology

Tertiary Classification:

30105: Neurosciences

Allocation

Abstract

The Enteric Nervous System (ENS) is embedded in the wall of the entire gastrointestinal system and represents the largest part of the peripheral nervous system. Although it is required for basic intestinal functions, such as bowel movement and secretion, it is under-investigated. We have recently categorised the neuronal and glial subtypes of the murine intestine using single-cell RNA-sequencing (scRNA-seq) and found a large heterogeneity (Zeisel et al., Cell 2018 and Morarach et al., Nat Neurosci 2021). Additionally, through scRNA-seq of embryonic stages we have started to describe the developmental principles behind the generation of distinct neuronal identities (Morarach et al., Nat. Neurosci. 2021). We have used and have acknowledged UPPMAX in this publication. We would now like to further our understanding of the mechanism and molecules that regulate the development of the ENS. In the past years, there have been several more scRNA-seq datasets released, both of the developing human and murine gut. Also scATAC-seq datasets have been published. In the cases of human, the datasets consists of the whole embryo, or whole gut and are thus rather big. We would now like to integrate these datasets with ours to retrieve a better understanding of the processes that underlies the diversification of cellular identities in the developing ENS. The embryonic human datasets are freely accessible and thus not need to be stored at Castor/Bianca. We have also started to this spring to generate new scRNA-seq, multiomics and scCut-Tag datasets using 10x platform from embryonic murine tissue and also adult cells using the SMARTSeq3 platform.