← BioTransfer GEO Dataset Finder
GEO series

Disc-Derived Induced Pluripotent Stem Cells and Environmental Cues for Nucleus Pulposus Regeneration

GSE273124 Homo sapiens Expression profiling by high throughput sequencing 12 samples 2025/11/24 GPL30173
Summary
Notochordal cells (NCs) are linked to a healthy state of the nucleus pulposus (NP) and are therefore considered a promising candidate for cell-based regenerative therapies. However, NCs are scarcely available as they are lost early in life, and attempts at in vitro expansion have failed because NCs lose their specific phenotype. The generation of notochordal-like cells (NLCs) from human induced pluripotent stem cells (hiPSCs) is considered a viable alternative. Therefore, this study aimed to build on the instructive capacity of decellularized notochordal cell-derived matrix (dNCM) and the epigenetic memory of tissue-specific hiPSCs derived from TIE2+ nucleus pulposus-progenitor cells (NPPCs) to improve hiPSC differentiation towards mature, healthy matrix-producing NLCs. As a comparison, donor-matched minimally invasive peripheral blood mononuclear cell (PBMC)-derived hiPSCs were generated. The results showed that the use of tissue-specific derived hiPSCs instructed by a mix of natural cues provided by dNCM allowed for an improved differentiation capacity, indicated by the increased expression of key phenotypic and functional NC/NPC markers. Additionally, within this in vitro environment, the cell-source influenced off-target differentiation resulting in increased neural- and immune-cell fate for the PBMC-derived hiPSC lines. In the end, Understanding how in vivo microenvironmental cues will direct differentiation and maturation of the hMEPCs is imperative to refine the differentiation protocol also taking into account the hiPSC-derived NLC functionality and survival within the challenging environment of the intervertebral disc.
Download
NCBI GEO page ↗ Paper (PMID 40644334) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.