• 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

利用cDNA微阵列从微量RNA中获取可靠信息。

Obtaining reliable information from minute amounts of RNA using cDNA microarrays.

作者信息

Hu Limei, Wang Jing, Baggerly Keith, Wang Hua, Fuller Gregory N, Hamilton Stanley R, Coombes Kevin R, Zhang Wei

机构信息

Cancer Genomics Core Laboratory-Department of Pathology, The University of Texas M D Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA.

出版信息

BMC Genomics. 2002 Jun 21;3:16. doi: 10.1186/1471-2164-3-16.

DOI:10.1186/1471-2164-3-16
PMID:12086591
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC117130/
Abstract

BACKGROUND

High density cDNA microarray technology provides a powerful tool to survey the activity of thousands of genes in normal and diseased cells, which helps us both to understand the molecular basis of the disease and to identify potential targets for therapeutic intervention. The promise of this technology has been hampered by the large amount of biological material required for the experiments (more than 50 microg of total RNA per array). We have modified an amplification procedure that requires only 1 microg of total RNA. Analyses of the results showed that most genes that were detected as expressed or differentially expressed using the regular protocol were also detected using the amplification protocol. In addition, many genes that were undetected or weakly detected using the regular protocol were clearly detected using the amplification protocol. We have carried out a series of confirmation studies by northern blotting, western blotting, and immunohistochemistry assays.

RESULTS

Our results showed that most of the new information revealed by the amplification protocol represents real gene activity in the cells.

CONCLUSION

We have confirmed a powerful and consistent cDNA microarray procedure that can be used to study minute amounts of biological tissue.

摘要

背景

高密度cDNA微阵列技术为研究正常细胞和病变细胞中数千个基因的活性提供了一个强大的工具,这有助于我们理解疾病的分子基础并识别治疗干预的潜在靶点。该技术的前景因实验所需生物材料量巨大(每个阵列需要超过50微克总RNA)而受到阻碍。我们改进了一种扩增程序,该程序仅需1微克总RNA。对结果的分析表明,使用常规方案检测为表达或差异表达的大多数基因,使用扩增方案也能检测到。此外,许多使用常规方案未检测到或检测较弱的基因,使用扩增方案能清晰地检测到。我们通过Northern印迹、Western印迹和免疫组织化学分析进行了一系列验证研究。

结果

我们的结果表明,扩增方案揭示的大多数新信息代表细胞中的真实基因活性。

结论

我们证实了一种强大且一致的cDNA微阵列程序,可用于研究微量生物组织。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e4f/117130/8edcc37e705d/1471-2164-3-16-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e4f/117130/39ee00ba7d2d/1471-2164-3-16-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e4f/117130/8edcc37e705d/1471-2164-3-16-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e4f/117130/39ee00ba7d2d/1471-2164-3-16-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e4f/117130/8edcc37e705d/1471-2164-3-16-2.jpg

相似文献

1
Obtaining reliable information from minute amounts of RNA using cDNA microarrays.利用cDNA微阵列从微量RNA中获取可靠信息。
BMC Genomics. 2002 Jun 21;3:16. doi: 10.1186/1471-2164-3-16.
2
A comparative analysis of data generated using two different target preparation methods for hybridization to high-density oligonucleotide microarrays.使用两种不同靶标制备方法生成的数据与高密度寡核苷酸微阵列杂交的比较分析。
BMC Genomics. 2004 Jan 6;5(1):2. doi: 10.1186/1471-2164-5-2.
3
[Optimization of T7-based RNA amplification system for cDNA microarray].[用于cDNA微阵列的基于T7的RNA扩增系统的优化]
Sheng Wu Hua Xue Yu Sheng Wu Wu Li Xue Bao (Shanghai). 2003 May;35(5):441-8.
4
An alternative method to amplify RNA without loss of signal conservation for expression analysis with a proteinase DNA microarray in the ArrayTube format.一种用于在ArrayTube格式中使用蛋白酶DNA微阵列进行表达分析时扩增RNA而不损失信号保守性的替代方法。
BMC Genomics. 2006 Jun 12;7:144. doi: 10.1186/1471-2164-7-144.
5
cDNA microarray analysis of small plant tissue samples using a cDNA tag target amplification protocol.使用cDNA标签靶标扩增方案对小型植物组织样本进行cDNA微阵列分析。
Plant J. 2001 Mar;25(5):585-91. doi: 10.1046/j.1365-313x.2001.00972.x.
6
Optimization of minuscule samples for use with cDNA microarrays.用于cDNA微阵列的微量样本优化
J Biochem Biophys Methods. 2008 Apr 24;70(6):1048-58. doi: 10.1016/j.jprot.2007.11.011. Epub 2007 Dec 23.
7
Transcript profiles of some developmentally important genes detected in bovine oocytes and in vitro-produced blastocysts using RNA amplification and cDNA microarrays.利用RNA扩增和cDNA微阵列技术检测牛卵母细胞和体外生产的囊胚中一些对发育具有重要意义的基因的转录谱。
Reprod Domest Anim. 2006 Dec;41(6):527-34. doi: 10.1111/j.1439-0531.2006.00708.x.
8
Differentially profiling the low-expression transcriptomes of human hepatoma using a novel SSH/microarray approach.使用一种新型的抑制性消减杂交/微阵列方法对人肝癌低表达转录组进行差异分析。
BMC Genomics. 2006 May 31;7:131. doi: 10.1186/1471-2164-7-131.
9
Optimized procedures for microarray analysis of histological specimens processed by laser capture microdissection.用于激光捕获显微切割处理的组织学标本微阵列分析的优化程序。
J Cell Physiol. 2004 Dec;201(3):366-73. doi: 10.1002/jcp.20073.
10
Evaluation of two methods for generating cRNA for microarray experiments from nanogram amounts of total RNA.从纳克量的总RNA生成用于微阵列实验的cRNA的两种方法的评估。
Anal Biochem. 2006 Nov 1;358(1):111-9. doi: 10.1016/j.ab.2006.08.023. Epub 2006 Sep 7.

引用本文的文献

1
µFBI: a microfluidic bead-based immunoassay for multiplexed detection of proteins from a µL sample volume.µFBI:一种基于微珠的微流控免疫分析方法,可从 µL 样品体积中对蛋白质进行多重检测。
PLoS One. 2010 Oct 1;5(10):e13125. doi: 10.1371/journal.pone.0013125.
2
RNA pre-amplification enables large-scale RT-qPCR gene-expression studies on limiting sample amounts.RNA预扩增能够对少量样本进行大规模逆转录定量聚合酶链反应基因表达研究。
BMC Res Notes. 2009 Nov 25;2:235. doi: 10.1186/1756-0500-2-235.
3
Applications of microarray technology to Acute Myelogenous Leukemia.

本文引用的文献

1
Monitoring of cDNA microarray with common primer target and hybridization specificity with selected targets.
Biotechniques. 2002 Mar;32(3):528, 530-2, 534.
2
Identifying differentially expressed genes in cDNA microarray experiments.在cDNA微阵列实验中鉴定差异表达基因。
J Comput Biol. 2001;8(6):639-59. doi: 10.1089/106652701753307539.
3
Microarrays: handling the deluge of data and extracting reliable information.微阵列:应对海量数据并提取可靠信息。
Trends Biotechnol. 2001 Nov;19(11):463-8. doi: 10.1016/s0167-7799(01)01792-9.
微阵列技术在急性髓细胞白血病中的应用。
Cancer Inform. 2009;7:13-28. doi: 10.4137/cin.s1015. Epub 2008 Dec 22.
4
Bio-inspired microsystem for robust genetic assay recognition.用于稳健基因检测识别的仿生微系统。
J Biomed Biotechnol. 2008;2008:259174. doi: 10.1155/2008/259174.
5
Phosphorylation of Thr18 and Ser20 of p53 in Ad-p53-induced apoptosis.腺病毒介导的p53诱导凋亡过程中p53第18位苏氨酸和第20位丝氨酸的磷酸化
Neuro Oncol. 2008 Jun;10(3):275-91. doi: 10.1215/15228517-2008-015. Epub 2008 Apr 28.
6
Evaluation of global RNA amplification and its use for high-throughput transcript analysis of laser-microdissected endosperm.整体RNA扩增的评估及其在激光显微切割胚乳高通量转录本分析中的应用
Int J Plant Genomics. 2007;2007:61028. doi: 10.1155/2007/61028.
7
Efficacy of RNA amplification is dependent on sequence characteristics: implications for gene expression profiling using a cDNA microarray.RNA扩增的效果取决于序列特征:对使用cDNA微阵列进行基因表达谱分析的启示。
Genomics. 2008 Jan;91(1):108-17. doi: 10.1016/j.ygeno.2007.09.004. Epub 2007 Nov 14.
8
The utility of MAS5 expression summary and detection call algorithms.MAS5表达汇总及检测调用算法的效用。
BMC Bioinformatics. 2007 Jul 30;8:273. doi: 10.1186/1471-2105-8-273.
9
RNA expression profiling at the single molecule level.单分子水平的RNA表达谱分析。
Genome Res. 2006 Aug;16(8):1041-5. doi: 10.1101/gr.4999906. Epub 2006 Jun 29.
10
A two-sample Bayesian t-test for microarray data.针对微阵列数据的双样本贝叶斯t检验。
BMC Bioinformatics. 2006 Mar 10;7:126. doi: 10.1186/1471-2105-7-126.
4
A comparison of the Celera and Ensembl predicted gene sets reveals little overlap in novel genes.对Celera和Ensembl预测的基因集进行比较后发现,新基因中的重叠部分很少。
Cell. 2001 Aug 24;106(4):413-5. doi: 10.1016/s0092-8674(01)00467-6.
5
Sequence verification as quality-control step for production of cDNA microarrays.
Biotechniques. 2001 Jul;31(1):62-5. doi: 10.2144/01311st01.
6
A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes.用于分析微阵列表达数据的贝叶斯框架:正则化t检验与基因变化的统计推断
Bioinformatics. 2001 Jun;17(6):509-19. doi: 10.1093/bioinformatics/17.6.509.
7
Profiling and verification of gene expression patterns in normal and malignant human prostate tissues by cDNA microarray analysis.通过cDNA微阵列分析对正常和恶性人类前列腺组织中的基因表达模式进行分析和验证。
Neoplasia. 2001 Jan-Feb;3(1):43-52. doi: 10.1038/sj.neo.7900126.
8
Initial sequencing and analysis of the human genome.人类基因组的初步测序与分析。
Nature. 2001 Feb 15;409(6822):860-921. doi: 10.1038/35057062.
9
Genes expressed in human tumor endothelium.在人类肿瘤内皮中表达的基因。
Science. 2000 Aug 18;289(5482):1197-202. doi: 10.1126/science.289.5482.1197.
10
A note on concordance correlation coefficient.关于一致性相关系数的注释。
PDA J Pharm Sci Technol. 2000 Jan-Feb;54(1):23-6.