Estimation of tumor cell total mRNA expression in 15 cancer types predicts disease progression

Single-cell RNA sequencing studies have suggested that total mRNA content correlates with tumor phenotypes. Technical and analytical challenges, however, have so far impeded at-scale pan-cancer examination of total mRNA content. Here we present a method to quantify tumor-specific total mRNA expressi...

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Detalles Bibliográficos
Autores principales: Cao, Shaolong, Wang, Jennifer R., Ji, Shuangxi, Yang, Peng, Dai, Yaoyi, Guo, Shuai, Montierth, Matthew D., Shen, John Paul, Zhao, Xiao, Chen, Jingxiao, Lee, Jaewon James, Guerrero, Paola A., Spetsieris, Nicholas, Engedal, Nikolai, Taavitsainen, Sinja, Yu, Kaixian, Livingstone, Julie, Bhandari, Vinayak, Hubert, Shawna M., Daw, Najat C., Futreal, P. Andrew, Efstathiou, Eleni, Lim, Bora, Viale, Andrea, Zhang, Jianjun, Nykter, Matti, Czerniak, Bogdan A., Brown, Powel H., Swanton, Charles, Msaouel, Pavlos, Maitra, Anirban, Kopetz, Scott, Campbell, Peter, Speed, Terence P., Boutros, Paul C., Zhu, Hongtu, Urbanucci, Alfonso, Demeulemeester, Jonas, Van Loo, Peter, Wang, Wenyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646498/
https://www.ncbi.nlm.nih.gov/pubmed/35697807
http://dx.doi.org/10.1038/s41587-022-01342-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646498/
https://www.ncbi.nlm.nih.gov/pubmed/35697807
http://dx.doi.org/10.1038/s41587-022-01342-x

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