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Enrichment of neural crest cells by antibody labelling and flow cytometry for single-cell transcriptomics in a lizard

ABSTRACT: Single-cell transcriptomic data were generated from embryos of the common wall lizard (Podarcis muralis). Neural crest cells (NCCs) were enriched by fluorescence-activated cell sorting based on HNK-1 antibody staining. The dataset includes two unsorted samples representing all embryonic cells, one leniently sorted sample containing the top 15% of HNK-1–positive cells, and two strictly sorted samples containing the top 5% of HNK-1–positive cells. Unsorted and leniently sorted samples were generated from pools of three embryos each and sequenced using the 10x Genomics Chromium platform. Strictly sorted samples were generated from a single embryo, split across two plates, and sequenced using the Smart-seq3 protocol. These data enable characterization of NCC transcriptional profiles in a non-model vertebrate species and provide a resource for studying neural crest biology in systems lacking transgenic tools.

ORGANISM(S): Podarcis muralis

PROVIDER: GSE319069 | GEO | 2026/02/18

REPOSITORIES: GEO

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