• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Alternative applications for distinct RNA sequencing strategies.不同RNA测序策略的替代应用。
Brief Bioinform. 2015 Jul;16(4):629-39. doi: 10.1093/bib/bbu032. Epub 2014 Sep 22.
2
Advances in Transcriptomics: Investigating Cardiovascular Disease at Unprecedented Resolution.转录组学研究进展:以前所未有的分辨率研究心血管疾病。
Circ Res. 2018 Apr 27;122(9):1200-1220. doi: 10.1161/CIRCRESAHA.117.310910.
3
Bioinformatic Pipelines to Analyze lncRNAs RNAseq Data.生物信息学分析 lncRNAs RNAseq 数据的流程。
Methods Mol Biol. 2021;2348:55-69. doi: 10.1007/978-1-0716-1581-2_4.
4
Characterization of pancreatic ductal adenocarcinoma using whole transcriptome sequencing and copy number analysis by single-nucleotide polymorphism array.利用全转录组测序和单核苷酸多态性阵列进行拷贝数分析对胰腺导管腺癌进行特征分析。
Mol Med Rep. 2015 Nov;12(5):7479-84. doi: 10.3892/mmr.2015.4344. Epub 2015 Sep 22.
5
Nuclear RNA Isolation and Sequencing.核RNA分离与测序
Methods Mol Biol. 2016;1402:63-71. doi: 10.1007/978-1-4939-3378-5_7.
6
Evaluation of commercially available small RNASeq library preparation kits using low input RNA.使用低输入 RNA 评估市售的小型 RNA-Seq 文库制备试剂盒。
BMC Genomics. 2018 May 5;19(1):331. doi: 10.1186/s12864-018-4726-6.
7
Practicability of detecting somatic point mutation from RNA high throughput sequencing data.从RNA高通量测序数据中检测体细胞点突变的可行性
Genomics. 2016 May;107(5):163-9. doi: 10.1016/j.ygeno.2016.03.006. Epub 2016 Apr 2.
8
Research Techniques Made Simple: Methodology and Clinical Applications of RNA Sequencing.《研究技术简明指南:RNA测序的方法与临床应用》
J Invest Dermatol. 2016 Aug;136(8):e77-e82. doi: 10.1016/j.jid.2016.06.003.
9
Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations.用于表征基因表达和基因组改变的靶向RNA测序分析
J Vis Exp. 2016 Aug 4(114):54090. doi: 10.3791/54090.
10
Conduct and Quality Control of Differential Gene Expression Analysis Using High-Throughput Transcriptome Sequencing (RNASeq).使用高通量转录组测序(RNA测序)进行差异基因表达分析的实验操作与质量控制
Methods Mol Biol. 2019;1834:29-43. doi: 10.1007/978-1-4939-8669-9_2.

引用本文的文献

1
Design of a low-density SNP panel for intramuscular fat content and fatty acid composition of backfat in free-range Iberian pigs.设计一个低密度 SNP 面板,用于测定放养伊比利亚猪背脂的肌内脂肪含量和脂肪酸组成。
J Anim Sci. 2023 Jan 3;101. doi: 10.1093/jas/skad079.
2
Expression Indicates Lymph Node Metastasis and Presence of Cancer-Associated Fibroblasts in Papillary Thyroid Cancer.表达表明在甲状腺乳头状癌中存在淋巴结转移和癌症相关成纤维细胞。
Cells. 2022 Oct 10;11(19):3181. doi: 10.3390/cells11193181.
3
Noncoding RNAs in Papillary Thyroid Cancer: Interaction with Cancer-Associated Fibroblasts (CAFs) in the Tumor Microenvironment (TME) and Regulators of Differentiation and Lymph Node Metastasis.甲状腺乳头状癌中的非编码 RNA:肿瘤微环境 (TME) 中与癌相关成纤维细胞 (CAFs) 的相互作用及分化和淋巴结转移的调控因子。
Adv Exp Med Biol. 2021;1350:145-155. doi: 10.1007/978-3-030-83282-7_7.
4
Screening of Variants in the Transcript Profile of Eutopic Endometrium from Infertile Women with Endometriosis during the Implantation Window.在着床窗口期对患有子宫内膜异位症的不孕妇女的在位子宫内膜转录谱中的变体进行筛查。
Rev Bras Ginecol Obstet. 2021 Jun;43(6):457-466. doi: 10.1055/s-0041-1730287. Epub 2021 Jul 27.
5
Integration of SNP Disease Association, eQTL, and Enrichment Analyses to Identify Risk SNPs and Susceptibility Genes in Chronic Obstructive Pulmonary Disease.整合 SNP 疾病关联、eQTL 和富集分析以鉴定慢性阻塞性肺疾病的风险 SNP 和易感基因。
Biomed Res Int. 2020 Dec 29;2020:3854196. doi: 10.1155/2020/3854196. eCollection 2020.
6
GeTallele: A Method for Analysis of DNA and RNA Allele Frequency Distributions.GeTallele:一种分析DNA和RNA等位基因频率分布的方法。
Front Bioeng Biotechnol. 2020 Sep 16;8:1021. doi: 10.3389/fbioe.2020.01021. eCollection 2020.
7
Alternative Applications of Genotyping Array Data Using Multivariant Methods.采用多变量方法的基因分型阵列数据的其他应用。
Trends Genet. 2020 Nov;36(11):857-867. doi: 10.1016/j.tig.2020.07.006. Epub 2020 Aug 6.
8
The Landscape of Small Non-Coding RNAs in Triple-Negative Breast Cancer.三阴性乳腺癌中小非编码RNA的研究概况
Genes (Basel). 2018 Jan 10;9(1):29. doi: 10.3390/genes9010029.
9
The discrepancy among single nucleotide variants detected by DNA and RNA high throughput sequencing data.DNA 和 RNA 高通量测序数据中单核苷酸变异的差异。
BMC Genomics. 2017 Oct 3;18(Suppl 6):690. doi: 10.1186/s12864-017-4022-x.
10
Strategies for processing and quality control of Illumina genotyping arrays.Illumina 基因分型芯片的处理和质量控制策略。
Brief Bioinform. 2018 Sep 28;19(5):765-775. doi: 10.1093/bib/bbx012.

本文引用的文献

1
The emerging era of genomic data integration for analyzing splice isoform function.用于分析剪接异构体功能的基因组数据整合的新兴时代。
Trends Genet. 2014 Aug;30(8):340-7. doi: 10.1016/j.tig.2014.05.005. Epub 2014 Jun 17.
2
The case for junk DNA.垃圾DNA之说
PLoS Genet. 2014 May 8;10(5):e1004351. doi: 10.1371/journal.pgen.1004351. eCollection 2014 May.
3
PRADA: pipeline for RNA sequencing data analysis.PRADA:RNA 测序数据分析流水线。
Bioinformatics. 2014 Aug 1;30(15):2224-6. doi: 10.1093/bioinformatics/btu169. Epub 2014 Apr 1.
4
Argonaute-bound small RNAs from promoter-proximal RNA polymerase II.启动子近端 RNA 聚合酶 II 结合的小 RNA。
Cell. 2014 Feb 27;156(5):920-34. doi: 10.1016/j.cell.2014.01.041.
5
Quantifying RNA allelic ratios by microfluidic multiplex PCR and sequencing.通过微流控多重 PCR 和测序定量 RNA 等位基因比。
Nat Methods. 2014 Jan;11(1):51-4. doi: 10.1038/nmeth.2736. Epub 2013 Nov 24.
6
Assessment of transcript reconstruction methods for RNA-seq.RNA-seq 转录本重构方法评估。
Nat Methods. 2013 Dec;10(12):1177-84. doi: 10.1038/nmeth.2714. Epub 2013 Nov 3.
7
RADAR: a rigorously annotated database of A-to-I RNA editing.RADAR:一个经过严格注释的 A 到 I RNA 编辑数据库。
Nucleic Acids Res. 2014 Jan;42(Database issue):D109-13. doi: 10.1093/nar/gkt996. Epub 2013 Oct 25.
8
Chromatin stretch enhancer states drive cell-specific gene regulation and harbor human disease risk variants.染色质伸展增强子状态驱动细胞特异性基因调控,并包含人类疾病风险变异。
Proc Natl Acad Sci U S A. 2013 Oct 29;110(44):17921-6. doi: 10.1073/pnas.1317023110. Epub 2013 Oct 14.
9
The landscape of viral expression and host gene fusion and adaptation in human cancer.人类癌症中病毒表达和宿主基因融合与适应的全景。
Nat Commun. 2013;4:2513. doi: 10.1038/ncomms3513.
10
Reliable identification of genomic variants from RNA-seq data.从 RNA-seq 数据中可靠地识别基因组变异。
Am J Hum Genet. 2013 Oct 3;93(4):641-51. doi: 10.1016/j.ajhg.2013.08.008. Epub 2013 Sep 26.

不同RNA测序策略的替代应用。

Alternative applications for distinct RNA sequencing strategies.

作者信息

Han Leng, Vickers Kasey C, Samuels David C, Guo Yan

出版信息

Brief Bioinform. 2015 Jul;16(4):629-39. doi: 10.1093/bib/bbu032. Epub 2014 Sep 22.

DOI:10.1093/bib/bbu032
PMID:25246237
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4542857/
Abstract

Recent advances in RNA library preparation methods, platform accessibility and cost efficiency have allowed high-throughput RNA sequencing (RNAseq) to replace conventional hybridization microarray platforms as the method of choice for mRNA profiling and transcriptome analyses. RNAseq is a powerful technique to profile both long and short RNA expression, and the depth of information gained from distinct RNAseq methods is striking and facilitates discovery. In addition to expression analysis, distinct RNAseq approaches also allow investigators the ability to assess transcriptional elongation, DNA variance and exogenous RNA content. Here we review the current state of the art in transcriptome sequencing and address epigenetic regulation, quantification of transcription activation, RNAseq output and a diverse set of applications for RNAseq data. We detail how RNAseq can be used to identify allele-specific expression, single-nucleotide polymorphisms and somatic mutations and discuss the benefits and limitations of using RNAseq to monitor DNA characteristics. Moreover, we highlight the power of combining RNA- and DNAseq methods for genomic analysis. In summary, RNAseq provides the opportunity to gain greater insight into transcriptional regulation and output than simply miRNA and mRNA profiling.

摘要

RNA文库制备方法、平台可及性和成本效益方面的最新进展,已使高通量RNA测序(RNAseq)取代传统杂交微阵列平台,成为mRNA谱分析和转录组分析的首选方法。RNAseq是一种强大的技术,可对长RNA和短RNA的表达进行谱分析,并且从不同RNAseq方法获得的信息深度惊人,有助于新发现。除表达分析外,不同的RNAseq方法还使研究人员能够评估转录延伸、DNA变异和外源RNA含量。在此,我们综述转录组测序的当前技术水平,并探讨表观遗传调控、转录激活定量、RNAseq输出以及RNAseq数据的一系列不同应用。我们详细介绍了如何使用RNAseq来鉴定等位基因特异性表达、单核苷酸多态性和体细胞突变,并讨论了使用RNAseq监测DNA特征的优点和局限性。此外,我们强调了将RNA测序和DNA测序方法相结合用于基因组分析的强大功能。总之,与单纯的miRNA和mRNA谱分析相比,RNAseq提供了一个更深入了解转录调控和输出的机会。