Mapping of sequential cell fate transitions following spinal cord injury

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Dnr:

NAISS 2026/4-1068

Type:

NAISS Small

Principal Investigator:

Timm Häneke

Affiliation:

Karolinska Institutet

Start Date:

2026-06-10

End Date:

2027-07-01

Primary Classification:

10203: Bioinformatics (Computational Biology) (Applications at 10610)

Webpage:

https://ki.se/en/research/research-areas-centres-and-networks/research-groups/central-nervous-system-regeneration-enric-llorens-group

Allocation

Arrhenius Disk at NAISS: 500 GiB
Arrhenius GPU at NAISS: 100 GPU-h/month

Abstract

Following spinal cord injuries a subpopulation of glial cells undergo rapid changes that enables a transient cell states with regenerative potential. To understand the regulatory logic behind this, deep Learning models are trained for each temporal pseudobulk within a multiomic single cell dataset of the murine spinal cord injury. The models are then subsequently interpreted to elucidate drivers of regeneration.