ArticleScientific reports2020
Northstar enables automatic classification of known and novel cell types from tumor samples.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Laminar CD34+ membranous cells with mechanosensitive properties in subcutaneous fascia of the abdominal midline.Scientific reports · 2025Article
- Spatial colocalization and molecular crosstalk of myofibroblastic CAFs and tumor cells shape lymph node metastasis in oral squamous cell carcinoma.PLoS genetics · 2025Article
- Mapping Cell Identity from scRNA-seq: A primer on computational methods.Computational and structural biotechnology journal · 2025Review
- Discovery and generalization of tissue structures from spatial omics data.Cell reports methods · 2024Article
- Age-associated changes in lineage composition of the enteric nervous system regulate gut health and disease.eLife · 2023Article
- scAnnotatR: framework to accurately classify cell types in single-cell RNA-sequencing data.BMC bioinformatics · 2022Article
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Authors and funding
8 authors.
Funding
Abstract
Single cell transcriptomics is revolutionising our understanding of tissue and disease heterogeneity, yet cell type identification remains a partially manual task. Published algorithms for automatic cell annotation are limited to known cell types and fail to capture novel populations, especially cancer cells. We developed northstar, a computational approach to classify thousands of cells based on published data within seconds while simultaneously identifying and highlighting new cell states such as malignancies. We tested northstar on data from glioblastoma, melanoma, and seven different healthy tissues and obtained high accuracy and robustness. We collected eleven pancreatic tumors and identified three shared and five private neoplastic cell populations, offering insight into the origins of neuroendocrine and exocrine tumors. Northstar is a useful tool to assign known and novel cell type and states in the age of cell atlases.
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