Single-cell SNP analyses and interpretations based on RNA-Seq data for colon cancer research
文献类型：期刊论文
| 作者 | Chen, Jiahuan1,2,3,4,5; Zhou, Qian2,3; Wang, Yangfan4; Ning, Kang1,2,3 |
| 刊名 | SCIENTIFIC REPORTS
 |
| 出版日期 | 2016-09-28 |
| 卷号 | 6 |
| 英文摘要 | Single-cell sequencing is useful for illustrating the cellular heterogeneities inherent in many intricate biological systems, particularly in human cancer. However, owing to the difficulties in acquiring, amplifying and analyzing single-cell genetic material, obstacles remain for single-cell diversity assessments such as single nucleotide polymorphism (SNP) analyses, rendering biological interpretations of single-cell omics data elusive. We used RNA-Seq data from single-cell and bulk colon cancer samples to analyze the SNP profiles for both structural and functional comparisons. Colon cancer-related pathways with single-cell level SNP enrichment, including the TGF-beta and p53 signaling pathways, were also investigated based on both their SNP enrichment patterns and gene expression. We also detected a certain number of fusion transcripts, which may promote tumorigenesis, at the single-cell level. Based on these results, single-cell analyses not only recapitulated the SNP analysis results from the bulk samples but also detected cell-to-cell and cell-to-bulk variations, thereby aiding in early diagnosis and in identifying the precise mechanisms underlying cancers at the single-cell level. |
| WOS标题词 | Science & Technology |
| 类目[WOS] | Multidisciplinary Sciences |
| 研究领域[WOS] | Science & Technology - Other Topics |
| 关键词[WOS] | COLORECTAL-CANCER ; MICROSATELLITE INSTABILITY ; MAXIMUM-LIKELIHOOD ; SIGNALING PATHWAYS ; UBIQUITIN SYSTEM ; SEQUENCING DATA ; HIGH-THROUGHPUT ; MUTATIONS ; P53 ; PROLIFERATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000384120900001 |
| 源URL | [http://ir.qibebt.ac.cn/handle/337004/8507]  |
| 专题 | 青岛生物能源与过程研究所_单细胞中心 |
| 作者单位 | 1.Huazhong Univ Sci & Technol, Key Lab Mol Biophys, Minist Educ,Coll Life Sci & Technol, Hubei Key Lab Bioinformat & Mol Imaging,Dept Bioi, Wuhan 430074, Hubei, Peoples R China 2.Chinese Acad Sci, Shandong Key Lab Energy Genet, Bioinformat Grp, Single Cell Ctr, Qingdao 266101, Shandong, Peoples R China 3.Chinese Acad Sci, Key Lab Biofuels, Qingdao Inst Bioenergy & Bioproc Technol, Qingdao 266101, Shandong, Peoples R China 4.Ocean Univ China, Coll Marine Life, Qingdao 266000, Shandong, Peoples R China 5.Shanghai Jiao Tong Univ, Shanghai Ctr Syst Biomed, Shanghai 200240, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Jiahuan,Zhou, Qian,Wang, Yangfan,et al. Single-cell SNP analyses and interpretations based on RNA-Seq data for colon cancer research[J]. SCIENTIFIC REPORTS,2016,6. |
| APA | Chen, Jiahuan,Zhou, Qian,Wang, Yangfan,&Ning, Kang.(2016).Single-cell SNP analyses and interpretations based on RNA-Seq data for colon cancer research.SCIENTIFIC REPORTS,6. |
| MLA | Chen, Jiahuan,et al."Single-cell SNP analyses and interpretations based on RNA-Seq data for colon cancer research".SCIENTIFIC REPORTS 6(2016). |
入库方式： OAI收割
来源：青岛生物能源与过程研究所
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