Cancer-prone Phenotypes and Gene Expression Heterogeneity at Single-cell Resolution in Cigarette-smoking Lungs

Single-cell RNA sequencing (scRNA-seq) technologies have been broadly utilized to reveal molecular mechanisms of respiratory pathology and physiology at single-cell resolution. Here, we established single-cell meta-analysis (scMeta-analysis) by integrating data from eight public datasets, including...

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Detalles Bibliográficos
Autores principales: Nakayama, Jun, Yamamoto, Yusuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637260/
https://www.ncbi.nlm.nih.gov/pubmed/37910161
http://dx.doi.org/10.1158/2767-9764.CRC-23-0195

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637260/
https://www.ncbi.nlm.nih.gov/pubmed/37910161
http://dx.doi.org/10.1158/2767-9764.CRC-23-0195

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