Single-cell SNP analyses and interpretations based on RNA-Seq data for colon cancer research

doi:10.1038/srep34420

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	Single-cell SNP analyses and interpretations based on RNA-Seq data for colon cancer research
	Chen, Jiahuan 1,2,3,4,5; Zhou, Qian 2,3; Wang, Yangfan 4; Ning, Kang 1,2,3
	2016-09-28
发表期刊	SCIENTIFIC REPORTS
卷号	6
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.
文章类型	Article
WOS标题词	Science & Technology
DOI	10.1038/srep34420
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研究方向	Science & Technology - Other Topics
项目资助者	National Science Foundation of China(61103167 ; high-tech (863) grants from Ministry of Science and Technology's(2012AA023107 ; Sino-German Research Center(GZ878) ; Huazhong University of Science and Technology ; 31271410 ; 2014AA021502) ; 31401076 ; 31671374)
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000384120900001
引用统计
文献类型	期刊论文
条目标识符	http://ir.qibebt.ac.cn/handle/337004/8507
专题	单细胞中心组群
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).