• 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

寡核苷酸微阵列与基因表达系列分析(SAGE)在源自CD34+细胞的巨核细胞转录谱分析中的比较。

Comparison of oligonucleotide-microarray and serial analysis of gene expression (SAGE) in transcript profiling analysis of megakaryocytes derived from CD34+ cells.

作者信息

Kim Hyung-Lae

机构信息

Department of Biochemistry, College of Medicine, Ewha Womans University, Seoul, Korea.

出版信息

Exp Mol Med. 2003 Oct 31;35(5):460-6. doi: 10.1038/emm.2003.60.

DOI:10.1038/emm.2003.60
PMID:14646601
Abstract

For the comprehensive analysis of transcript expression, the array-based hybridization analysis and the serial analysis of gene expression (SAGE) are commonly used platforms. The SAGE is based on a high-throughput sequencing of ditags derived from the transcript. DNA microarrays are a powerful tool for monitoring thousands of transcripts simultaneously, whereas the Genechip (Affimatrix microarray) technology is based on the hybridization of a single probe or other manufacturer's microarrays (cDNA- or oligonucleotide-microarray) procedures include the competitive hybridization of two probes. In this study, the quantitative accuracy of expression using oligonucleotide-microarray was determined by comparing data set from the SAGE. In previous study the microSAGE was performed for the megakaryocytes and non- megakaryocytes derived from human cord blood CD34+ cells by ex vivo expansion using thrombopoietin, and a total of 38,909 tags representing 8,976 unique genes were obtained. On the identical RNA, expression profiling was also carried out using oligonucleotide-microarray (MAGIC II 10K chip, Macrogen). The most frequently expressed genes in human megakaryocytes were identified as platelet factor 1 followed by annexin A1, ribosomal protein S23. The majority of the 50 most highly expressed genes in the CD34+-derived megakaryocytes were those involved in protein synthesis, e.g., ribosomal proteins. The expression level through the single channel of oligonucleotide-microarray and SAGE have a fairly good correlation in terms of absolute analyses and that the correlation is higher for the genes with higher expression levels.

摘要

对于转录本表达的综合分析,基于芯片的杂交分析和基因表达序列分析(SAGE)是常用的平台。SAGE基于从转录本衍生的双标签的高通量测序。DNA微阵列是同时监测数千个转录本的强大工具,而基因芯片(Affimatrix微阵列)技术基于单个探针的杂交,其他制造商的微阵列(cDNA或寡核苷酸微阵列)程序包括两个探针的竞争性杂交。在本研究中,通过比较SAGE数据集来确定使用寡核苷酸微阵列进行表达定量的准确性。在先前的研究中,通过使用血小板生成素进行体外扩增,对源自人脐带血CD34+细胞的巨核细胞和非巨核细胞进行了微SAGE分析,共获得了代表8976个独特基因的38909个标签。在相同的RNA上,也使用寡核苷酸微阵列(MAGIC II 10K芯片,Macrogen)进行了表达谱分析。人类巨核细胞中最常表达的基因被确定为血小板因子1,其次是膜联蛋白A1、核糖体蛋白S23。在CD34+衍生的巨核细胞中,50个表达最高的基因中的大多数是参与蛋白质合成的基因,例如核糖体蛋白。就绝对分析而言,寡核苷酸微阵列单通道和SAGE的表达水平具有相当好的相关性,并且对于表达水平较高的基因,相关性更高。

相似文献

1
Comparison of oligonucleotide-microarray and serial analysis of gene expression (SAGE) in transcript profiling analysis of megakaryocytes derived from CD34+ cells.寡核苷酸微阵列与基因表达系列分析(SAGE)在源自CD34+细胞的巨核细胞转录谱分析中的比较。
Exp Mol Med. 2003 Oct 31;35(5):460-6. doi: 10.1038/emm.2003.60.
2
[Transcriptomes for serial analysis of gene expression].[用于基因表达序列分析的转录组]
J Soc Biol. 2002;196(4):303-7.
3
Transcript profiling of human platelets using microarray and serial analysis of gene expression (SAGE).利用微阵列和基因表达系列分析(SAGE)对人血小板进行转录本分析。
Methods Mol Biol. 2009;496:245-72. doi: 10.1007/978-1-59745-553-4_16.
4
Large scale real-time PCR validation on gene expression measurements from two commercial long-oligonucleotide microarrays.对来自两个商业长寡核苷酸微阵列的基因表达测量值进行大规模实时PCR验证。
BMC Genomics. 2006 Mar 21;7:59. doi: 10.1186/1471-2164-7-59.
5
Gene expression profile of megakaryocytes from human cord blood CD34(+) cells ex vivo expanded by thrombopoietin.血小板生成素体外扩增的人脐带血CD34(+)细胞来源巨核细胞的基因表达谱
Stem Cells. 2002;20(5):402-16. doi: 10.1634/stemcells.20-5-402.
6
MicroRNA profiling of megakaryocytes.巨核细胞的微小RNA分析
Methods Mol Biol. 2009;496:293-8. doi: 10.1007/978-1-59745-553-4_19.
7
Gene expression profile of primary human CD34+CD38lo cells differentiating along the megakaryocyte lineage.沿巨核细胞谱系分化的原代人CD34+CD38lo细胞的基因表达谱
Exp Hematol. 2004 Jul;32(7):638-48. doi: 10.1016/j.exphem.2004.04.002.
8
Evaluation of the similarity of gene expression data estimated with SAGE and Affymetrix GeneChips.用SAGE和Affymetrix基因芯片评估基因表达数据的相似性。
BMC Genomics. 2005 Jun 14;6:91. doi: 10.1186/1471-2164-6-91.
9
Microarray and serial analysis of gene expression analyses identify known and novel transcripts overexpressed in hematopoietic stem cells.基因芯片和基因表达系列分析鉴定出在造血干细胞中过表达的已知和新转录本。
Cancer Res. 2004 Jul 1;64(13):4434-41. doi: 10.1158/0008-5472.CAN-03-3247.
10
Gene Ontology-driven transcriptional analysis of CD34+ cell-initiated megakaryocytic cultures identifies new transcriptional regulators of megakaryopoiesis.基因本体驱动的CD34 +细胞启动的巨核细胞培养转录分析确定了巨核细胞生成的新转录调节因子。
Physiol Genomics. 2008 Apr 22;33(2):159-69. doi: 10.1152/physiolgenomics.00127.2007. Epub 2008 Feb 5.

引用本文的文献

1
Post-Transcriptional Expression Control in Platelet Biogenesis and Function.血小板生成和功能的转录后表达调控。
Int J Mol Sci. 2020 Oct 15;21(20):7614. doi: 10.3390/ijms21207614.
2
An Activated GOPS-poly--Lysine- Coated Glass Surface for the Immobilization of 60mer Oligonucleotides.用于固定60聚体寡核苷酸的活化GOPS-聚赖氨酸包被玻璃表面
Eng Life Sci. 2005 Nov 16;5(5):466-470. doi: 10.1002/elsc.200520097. eCollection 2005 Oct.
3
The complex transcriptional landscape of the anucleate human platelet.人类无核血小板的复杂转录景观。
BMC Genomics. 2013 Jan 16;14:1. doi: 10.1186/1471-2164-14-1.
4
Transcriptomic and proteomic profiling of two porcine tissues using high-throughput technologies.利用高通量技术对两种猪组织进行转录组和蛋白质组分析。
BMC Genomics. 2009 Jan 19;10:30. doi: 10.1186/1471-2164-10-30.
5
Validation of oligoarrays for quantitative exploration of the transcriptome.用于转录组定量研究的寡核苷酸芯片的验证
BMC Genomics. 2008 May 30;9:258. doi: 10.1186/1471-2164-9-258.
6
Technical variables in high-throughput miRNA expression profiling: much work remains to be done.高通量miRNA表达谱分析中的技术变量:仍有许多工作有待完成。
Biochim Biophys Acta. 2008 Nov;1779(11):758-65. doi: 10.1016/j.bbagrm.2008.03.012. Epub 2008 Apr 7.
7
Quantitative methods for genome-scale analysis of in situ hybridization and correlation with microarray data.用于原位杂交的基因组规模分析的定量方法及其与微阵列数据的相关性。
Genome Biol. 2008 Jan 30;9(1):R23. doi: 10.1186/gb-2008-9-1-r23.
8
A comparison of microarray and MPSS technology platforms for expression analysis of Arabidopsis.用于拟南芥表达分析的微阵列和MPSS技术平台比较。
BMC Genomics. 2007 Nov 12;8:414. doi: 10.1186/1471-2164-8-414.
9
Comparison of hybridization-based and sequencing-based gene expression technologies on biological replicates.基于杂交和基于测序的基因表达技术在生物学重复样本上的比较。
BMC Genomics. 2007 Jun 7;8:153. doi: 10.1186/1471-2164-8-153.
10
A quantitative reverse transcriptase-polymerase chain reaction assay to identify metastatic carcinoma tissue of origin.一种用于鉴定转移性癌组织起源的定量逆转录聚合酶链反应检测方法。
J Mol Diagn. 2006 Jul;8(3):320-9. doi: 10.2353/jmoldx.2006.050136.