Advances in single-cell RNA sequencing and its applications in cancer research

Unlike population-level approaches, single-cell RNA sequencing enables transcriptomic analysis of an individual cell. Through the combination of high-throughput sequencing and bioinformatic tools, single-cell RNA-seq can detect more than 10,000 transcripts in one cell to distinguish cell subsets and...

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Detalles Bibliográficos
Autores principales: Zhu, Sibo, Qing, Tao, Zheng, Yuanting, Jin, Li, Shi, Leming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5581148/
https://www.ncbi.nlm.nih.gov/pubmed/28881849
http://dx.doi.org/10.18632/oncotarget.17893

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5581148/
https://www.ncbi.nlm.nih.gov/pubmed/28881849
http://dx.doi.org/10.18632/oncotarget.17893

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