• 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

适用于高密度阵列分析的原核RNA制备方法:两种方法的比较。

Prokaryotic RNA preparation methods useful for high density array analysis: comparison of two approaches.

作者信息

Rosenow C, Saxena R M, Durst M, Gingeras T R

机构信息

Affymetrix Inc., 3380 Central Expressway, Santa Clara, CA 95051, USA.

出版信息

Nucleic Acids Res. 2001 Nov 15;29(22):E112. doi: 10.1093/nar/29.22.e112.

DOI:10.1093/nar/29.22.e112
PMID:11713332
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC92579/
Abstract

High density oligonucleotide arrays have been used extensively for expression studies of eukaryotic organisms. We have designed a prokaryotic high density oligonucleotide array using the complete Escherichia coli genome sequence to monitor expression levels of all genes and intergenic regions in the genome. Because previously described methods for preparing labeled target nucleic acids are not useful for prokaryotic cell analysis using such arrays, a mRNA enrichment and direct labeling protocol was developed together with a cDNA synthesis protocol. The reproducibility of each labeling method was determined using high density oligonucleotide probe arrays as a read-out methodology and the expression results from direct labeling were compared to the expression results from the cDNA synthesis. About 50% of all annotated E.coli open reading frames are observed to be transcribed, as measured by both protocols, when the cells were grown in rich LB medium. Each labeling method individually showed a high degree of concordance in replica experiments (95 and 99%, respectively), but when each sample preparation method was compared to the other, approximately 32% of the genes observed to be expressed were discordant. However, both labeling methods can detect the same relative gene expression changes when RNA from IPTG-induced cells was labeled and compared to RNA from uninduced E.coli cells.

摘要

高密度寡核苷酸阵列已被广泛用于真核生物的表达研究。我们利用完整的大肠杆菌基因组序列设计了一种原核生物高密度寡核苷酸阵列,以监测基因组中所有基因和基因间区域的表达水平。由于先前描述的制备标记靶核酸的方法不适用于使用此类阵列进行原核细胞分析,因此我们开发了一种mRNA富集和直接标记方案以及一种cDNA合成方案。使用高密度寡核苷酸探针阵列作为读出方法来确定每种标记方法的重现性,并将直接标记的表达结果与cDNA合成的表达结果进行比较。当细胞在丰富的LB培养基中生长时,通过这两种方案测量,约50%的所有注释的大肠杆菌开放阅读框被观察到有转录。在重复实验中,每种标记方法单独显示出高度的一致性(分别为95%和99%),但当将每种样品制备方法相互比较时,观察到表达的基因中约32%是不一致的。然而,当标记IPTG诱导细胞的RNA并与未诱导的大肠杆菌细胞的RNA进行比较时,两种标记方法都能检测到相同的相对基因表达变化。

相似文献

1
Prokaryotic RNA preparation methods useful for high density array analysis: comparison of two approaches.适用于高密度阵列分析的原核RNA制备方法:两种方法的比较。
Nucleic Acids Res. 2001 Nov 15;29(22):E112. doi: 10.1093/nar/29.22.e112.
2
Transcript profiling of Escherichia coli using high-density DNA microarrays.利用高密度DNA微阵列对大肠杆菌进行转录谱分析。
Methods Enzymol. 2002;358:177-88. doi: 10.1016/s0076-6879(02)58089-7.
3
Isolation of Escherichia coli mRNA and comparison of expression using mRNA and total RNA on DNA microarrays.大肠杆菌信使核糖核酸的分离以及在DNA微阵列上使用信使核糖核酸和总核糖核酸进行表达比较。
Anal Biochem. 2001 Mar;290(2):205-13. doi: 10.1006/abio.2000.4982.
4
Genome-wide expression profiling in Escherichia coli K-12.大肠杆菌K-12的全基因组表达谱分析
Nucleic Acids Res. 1999 Oct 1;27(19):3821-35. doi: 10.1093/nar/27.19.3821.
5
High-density microarray-mediated gene expression profiling of Escherichia coli.大肠杆菌的高密度微阵列介导的基因表达谱分析
J Bacteriol. 2001 Jan;183(2):545-56. doi: 10.1128/JB.183.2.545-556.2001.
6
Design of tiling arrays and their application to bacterial transcriptome analysis.平铺阵列的设计及其在细菌转录组分析中的应用。
Methods Mol Biol. 2013;1067:23-34. doi: 10.1007/978-1-62703-607-8_2.
7
RNA expression analysis using a 30 base pair resolution Escherichia coli genome array.使用具有30个碱基对分辨率的大肠杆菌基因组阵列进行RNA表达分析。
Nat Biotechnol. 2000 Dec;18(12):1262-8. doi: 10.1038/82367.
8
Identifying operons and untranslated regions of transcripts using Escherichia coli RNA expression analysis.利用大肠杆菌RNA表达分析鉴定操纵子和转录本的非翻译区
Bioinformatics. 2002;18 Suppl 1:S337-44. doi: 10.1093/bioinformatics/18.suppl_1.s337.
9
Transcriptome analysis of Escherichia coli using high-density oligonucleotide probe arrays.利用高密度寡核苷酸探针阵列对大肠杆菌进行转录组分析。
Nucleic Acids Res. 2002 Sep 1;30(17):3732-8. doi: 10.1093/nar/gkf505.
10
RNA expression analysis using an antisense Bacillus subtilis genome array.使用反义枯草芽孢杆菌基因组阵列进行RNA表达分析。
J Bacteriol. 2001 Dec;183(24):7371-80. doi: 10.1128/JB.183.24.7371-7380.2001.

引用本文的文献

1
The Evolution of Next-Generation Sequencing Technologies.下一代测序技术的演进。
Methods Mol Biol. 2025;2866:3-29. doi: 10.1007/978-1-0716-4192-7_1.
2
Systems biology of electrogenic Pseudomonas putida - multi-omics insights and metabolic engineering for enhanced 2-ketogluconate production.电活性假单胞菌的系统生物学 - 多组学见解和代谢工程增强 2-酮葡萄糖酸的生产。
Microb Cell Fact. 2024 Sep 11;23(1):246. doi: 10.1186/s12934-024-02509-8.
3
A prophage encoded ribosomal RNA methyltransferase regulates the virulence of Shiga-toxin-producing Escherichia coli (STEC).噬菌体编码核糖体 RNA 甲基转移酶调节产志贺毒素大肠杆菌(STEC)的毒力。
Nucleic Acids Res. 2024 Jan 25;52(2):856-871. doi: 10.1093/nar/gkad1150.
4
Targeted rRNA depletion enables efficient mRNA sequencing in diverse bacterial species and complex co-cultures.靶向 rRNA 耗竭可实现多种细菌物种和复杂共培养物中高效的 mRNA 测序。
mSystems. 2023 Dec 21;8(6):e0028123. doi: 10.1128/msystems.00281-23. Epub 2023 Oct 19.
5
Glycan-Adhering Lectins and Experimental Evaluation of a Lectin FimH Inhibitor in Enterohemorrhagic (EHEC) O157:H7 Strain EDL933.糖基结合凝集素和肠出血性 (EHEC) O157:H7 菌株 EDL933 中凝集素 FimH 抑制剂的实验评估
Int J Mol Sci. 2022 Sep 1;23(17):9931. doi: 10.3390/ijms23179931.
6
Opportunities and Challenges to Profile mRNA Modifications in Escherichia coli.在大肠杆菌中分析 mRNA 修饰的机遇与挑战
Chembiochem. 2022 Sep 16;23(18):e202200270. doi: 10.1002/cbic.202200270. Epub 2022 Jul 29.
7
Comparison of rRNA depletion methods for efficient bacterial mRNA sequencing.rRNA depletion 方法比较用于高效细菌 mRNA 测序。
Sci Rep. 2022 Apr 6;12(1):5765. doi: 10.1038/s41598-022-09710-y.
8
Rapid and accurate identification of ribosomal RNA sequences via deep learning.通过深度学习快速准确地识别核糖体 RNA 序列。
Nucleic Acids Res. 2022 Jun 10;50(10):e60. doi: 10.1093/nar/gkac112.
9
Modern Approaches for Transcriptome Analyses in Plants.现代植物转录组分析方法。
Adv Exp Med Biol. 2021;1346:11-50. doi: 10.1007/978-3-030-80352-0_2.
10
Epitranscriptomic profile of Lactobacillus agilis and its adaptation to growth on inulin.乳杆菌属的外转录组特征及其对菊粉生长的适应性。
BMC Res Notes. 2021 Apr 21;14(1):154. doi: 10.1186/s13104-021-05563-2.

本文引用的文献

1
RNA expression analysis using a 30 base pair resolution Escherichia coli genome array.使用具有30个碱基对分辨率的大肠杆菌基因组阵列进行RNA表达分析。
Nat Biotechnol. 2000 Dec;18(12):1262-8. doi: 10.1038/82367.
2
Identification of differentially expressed genes in human prostate cancer using subtraction and microarray.利用消减杂交和微阵列技术鉴定人前列腺癌中差异表达基因
Cancer Res. 2000 Mar 15;60(6):1677-82.
3
Expression analysis with oligonucleotide microarrays reveals that MYC regulates genes involved in growth, cell cycle, signaling, and adhesion.利用寡核苷酸微阵列进行的表达分析表明,MYC可调节参与生长、细胞周期、信号传导和黏附的基因。
Proc Natl Acad Sci U S A. 2000 Mar 28;97(7):3260-5. doi: 10.1073/pnas.97.7.3260.
4
Whole-genome expression analysis of snf/swi mutants of Saccharomyces cerevisiae.酿酒酵母snf/swi突变体的全基因组表达分析。
Proc Natl Acad Sci U S A. 2000 Mar 28;97(7):3364-9. doi: 10.1073/pnas.97.7.3364.
5
Global analysis of gene expression in pulmonary fibrosis reveals distinct programs regulating lung inflammation and fibrosis.肺纤维化中基因表达的全局分析揭示了调节肺部炎症和纤维化的不同程序。
Proc Natl Acad Sci U S A. 2000 Feb 15;97(4):1778-83. doi: 10.1073/pnas.97.4.1778.
6
Genome-wide expression profiling in Escherichia coli K-12.大肠杆菌K-12的全基因组表达谱分析
Nucleic Acids Res. 1999 Oct 1;27(19):3821-35. doi: 10.1093/nar/27.19.3821.
7
Functional characterization of the S. cerevisiae genome by gene deletion and parallel analysis.通过基因缺失和平行分析对酿酒酵母基因组进行功能表征。
Science. 1999 Aug 6;285(5429):901-6. doi: 10.1126/science.285.5429.901.
8
Characterization of differentially expressed genes in purified Drosophila follicle cells: toward a general strategy for cell type-specific developmental analysis.纯化果蝇卵泡细胞中差异表达基因的表征:迈向细胞类型特异性发育分析的通用策略
Proc Natl Acad Sci U S A. 1999 May 11;96(10):5559-64. doi: 10.1073/pnas.96.10.5559.
9
Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization.通过微阵列杂交全面鉴定酿酒酵母细胞周期调控基因。
Mol Biol Cell. 1998 Dec;9(12):3273-97. doi: 10.1091/mbc.9.12.3273.
10
The complete genome sequence of Escherichia coli K-12.大肠杆菌K-12的全基因组序列。
Science. 1997 Sep 5;277(5331):1453-62. doi: 10.1126/science.277.5331.1453.