RRC ID 52622
著者 Kashima Y, Suzuki A, Liu Y, Hosokawa M, Matsunaga H, Shirai M, Arikawa K, Sugano S, Kohno T, Takeyama H, Tsuchihara K, Suzuki Y.
タイトル Combinatory use of distinct single-cell RNA-seq analytical platforms reveals the heterogeneous transcriptome response.
ジャーナル Sci Rep
Abstract Single-cell RNA-seq is a powerful tool for revealing heterogeneity in cancer cells. However, each of the current single-cell RNA-seq platforms has inherent advantages and disadvantages. Here, we show that combining the different single-cell RNA-seq platforms can be an effective approach to obtaining complete information about expression differences and a sufficient cellular population to understand transcriptional heterogeneity in cancers. We demonstrate that it is possible to estimate missing expression information. We further demonstrate that even in the cases where precise information for an individual gene cannot be inferred, the activity of given transcriptional modules can be analyzed. Interestingly, we found that two distinct transcriptional modules, one associated with the Aurora kinase gene and the other with the DUSP gene, are aberrantly regulated in a minor population of cells and may thus contribute to the possible emergence of dormancy or eventual drug resistance within the population.
巻・号 8(1)
ページ 3482
公開日 2018-2-22
DOI 10.1038/s41598-018-21161-y
PII 10.1038/s41598-018-21161-y
PMID 29472726
PMC PMC5823859
MeSH Aurora Kinase A / genetics* Cell Line, Tumor Dual Specificity Phosphatase 1 / genetics* Gene Expression Regulation, Neoplastic High-Throughput Nucleotide Sequencing Humans Neoplasms / diagnosis Neoplasms / genetics* Neoplasms / pathology Single-Cell Analysis / methods Transcriptome / genetics*
IF 3.998
引用数 4
リソース情報
ヒト・動物細胞 PC-9(RCB4455) II-18(RCB2093)