The Arabidopsis Transcription Factor ORFeome and downstream genomic application
拟南芥转录因子ORFeome及其下游基因组应用
基本信息
- 批准号:7939663
- 负责人:
- 金额:$ 91.09万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-09-30 至 2011-12-31
- 项目状态:已结题
- 来源:
- 关键词:Alzheimer&aposs DiseaseArabidopsisBindingBiochemicalBiological AssayBiological ProcessBiomassBiomedical ResearchCloningCodeCollaborationsCollectionCommunitiesDNADNA ResequencingDNA-Protein InteractionDepositionDetectionDevelopmentDiseaseEligibility DeterminationEpitopesEquipmentFoodGalactosidaseGene ExpressionGenesGenomic LibraryGenomicsGlycerolGoldHealthHumanHybridsInstitutesKnowledgeLaboratoriesLaboratory ResearchLibrariesLuciferasesMaintenanceMalignant NeoplasmsMalnutritionMeasurementMeasuresMolecularMolecular BiologyMolecular TargetNucleic Acid Regulatory SequencesOrganismParkinson DiseasePathway interactionsPlantsProceduresProductionProductivityProteinsProtocols documentationReadingRecombinant ProteinsRegulationReporterReportingResearchResourcesRoleStructureSystems BiologyTechnologyTestingTranscription Initiation SiteTransgenic OrganismsUbiquitinVertebral columnVisualization softwareYeastsabstractingbacterial vectorbasechromatin immunoprecipitationcostfunctional genomicsinnovationnoveloverexpressionpromoterprotein expressionprotein protein interactionresearch studytooltranscription factorvectorweb siteyeast two hybrid system
项目摘要
DESCRIPTION (provided by applicant): Transcription factors (TF) have a crucial role in controlling gene expression, and exploring their molecular targets, binding partners and mode of regulation is essential to understand any plant biological process. Arabidopsis offers some unique advantages for the development of large-scale genomic approaches for the study of TFs function such as the ease and low cost to generate large transgenic collections, or the propensity of most gene-regulatory regions to be circumscribed to a short region upstream the transcription start site. The potential of these types of strategies is greatly exemplified in a recent report from our laboratory where, by using a fraction of the full TF collection, a novel clock component was identified. For these reasons, we started gathering all available Arabidopsis TFs from the different ORFeome resources (Salk, Pekin-Yale, REGIA, TIGR and RIKEN) to generate a complete TF collection. However, our findings from resequencing the different clones revealed a large overlap between the collections and several hundred mislabeled or missing ones, resulting in a final coverage close to 75% of all the Arabidopsis transcription factors and regulators. Here, we propose to generate an homogenous gold standard GATEWAYTM compatible collection containing every Arabidopsis TF. The corresponding coding sequences will be cloned in the same vector using the available ORFeomes as the template resource when possible. The remaining 25% missing ones will be generated by following different complementary amplification protocols and subsequently cloned in the same vector backbone. In addition, we propose to create and distribute to the community, nine application-ready genomic collections containing each TF in fusion with different tags for a multitude of applications. These nine collections will allow (1) overexpression screens in plants of wild type as well as EAR or VP64 translational fusions, (2) protein-protein interaction screens, (3) protein-DNA interaction screens, (4) subcellular localization and, (5) bacterial recombinant protein expression. In addition, in collaboration with Dr. Joe Ecker at the Salk Institute, we propose to test and compare the efficiency of different protein epitope-tags suitable to perform ChIP-seq experiment. A collection of TF tagged with the selected epitope will be generated. Finally, we propose to devise a simple protocol to perform yeast one-hybrid screens with full TF collections at a reasonable cost. We strongly believe these resources have the potential to greatly enhance research in Arabidopsis and other crop species. As the knowledge gap is being filled, the study of transcriptional networks in Arabidopsis will ultimately help us understand the biochemical complexity of multicellular organisms and positively impact the biomedical research community.
描述(由申请人提供):转录因子(TF)在控制基因表达方面发挥着至关重要的作用,探索其分子靶标、结合伴侣和调控模式对于理解任何植物生物过程至关重要。拟南芥为开发用于研究转录因子功能的大规模基因组方法提供了一些独特的优势,例如生成大型转基因集合的容易性和低成本,或者大多数基因调控区域被限制在上游短区域的倾向转录起始位点。我们实验室最近的一份报告充分说明了此类策略的潜力,其中通过使用完整 TF 集合的一小部分,识别出了一种新颖的时钟组件。出于这些原因,我们开始从不同的 ORFeome 资源(Salk、Pekin-Yale、REGIA、TIGR 和 RIKEN)收集所有可用的拟南芥 TF,以生成完整的 TF 集合。然而,我们对不同克隆进行重新测序的结果显示,这些集合之间存在很大的重叠,并且有数百个错误标记或缺失的克隆,导致最终覆盖率接近所有拟南芥转录因子和调节因子的 75%。在这里,我们建议生成一个包含每个拟南芥 TF 的同质黄金标准 GATEWAYTM 兼容集合。如果可能,将使用可用的 ORFeomes 作为模板资源,将相应的编码序列克隆到同一载体中。其余 25% 的缺失片段将通过不同的互补扩增方案生成,并随后克隆到同一载体主链中。此外,我们建议创建并向社区分发九个可供应用的基因组集合,其中每个 TF 与不同标签融合,用于多种应用。这九个集合将允许 (1) 野生型植物中的过表达筛选以及 EAR 或 VP64 翻译融合,(2) 蛋白质-蛋白质相互作用筛选,(3) 蛋白质-DNA 相互作用筛选,(4) 亚细胞定位和,( 5)细菌重组蛋白表达。此外,我们与索尔克研究所的 Joe Ecker 博士合作,建议测试和比较适合进行 ChIP-seq 实验的不同蛋白质表位标签的效率。将生成标有所选表位的 TF 集合。最后,我们建议设计一个简单的方案,以合理的成本对完整的 TF 集合进行酵母单杂交筛选。我们坚信这些资源有潜力极大地加强拟南芥和其他作物物种的研究。随着知识空白的填补,对拟南芥转录网络的研究最终将帮助我们了解多细胞生物的生化复杂性,并对生物医学研究界产生积极影响。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Joseph R Ecker其他文献
Del genoma humano a su pangenoma pasando por los consorcios ENCODE y T2T
Del genoma humano a su pangenoma pasando por los consorcios ENCODE y T2T
- DOI:
10.24310/enbio.v15i182.17114 - 发表时间:
2022-06-21 - 期刊:
- 影响因子:0
- 作者:
M. Claros;Catherine Choo;Caroline Ucla;Carine Manzano;Evelyn Wyss;Taane G Cheung;James B Clark;Madhavan Brown;Ganesh S;eep;eep;Hari Patel;Jacqueline Tammana;Charlotte N Chrast;Chikatoshi Henrichsen;Jun Kai;Ugrappa Kawai;Nagalakshmi Jiaqian;Zheng Wu;J. Lian;Peter Lian;Xueqing Newburger;Peter Zhang;John S Bickel;Piero Mattick;Yoshihide Carninci;Sherman Hayashizaki;Tim Weissman;Richard M Hubbard;J. Myers;P. Rogers;Todd M Stadler;Chia;Yijun Wei;Kevin Ruan;Mark Struhl;Stylianos Gerstein;Yutao Fu;Eric D Green;Ulaş Karaöz;Adam C. Siepel;James Taylor;Laura A Liefer;Kris A Wetterstr;Peter J Good;Elise A Feingold;Mark S Guyer;G. M. Cooper;George Asimenos;Colin N Dewey;Minmei Hou;Sergey Niko;Juan I Montoya;Ari Löytynoja;S. Whelan;Fabio Pardi;Tim Massingham;Haiyan Huang;Nancy R. Zhang;Ian Holmes;James C Mullikin;Abel Ureta;Benedict Paten;Michael Seringhaus;Deanna Church;Kate R. Rosenbloom;James Kent;Eric A Stone;C. Hardi;David Haussler;W. Miller;Arend Sidow;Nathan D Trinklein;Zhengdong D Zhang;Leah Barrera;Rhona Stuart;D. King;Adam Ameur;Stefan Enroth;Mark C Bieda;Jonghwan Kim;Akshay A Bhinge;N. Jiang;Jun Liu;Fei Yao;Vinsensius B Vega;Charlie W H Lee;Patrick Ng;Atif Shahab;Annie Yang;Zarmik Moqtaderi;Zhou Zhu;Xiaoqin Xu;Sharon Squazzo;Matthew J Oberley;David Inman;Michael Singer;Todd A Richmond;Kyle J Munn;Alvaro Rada;Ola Wallerman;Jan Komorowski;J. C. Fowler;Phillippe Couttet;Ale;er W Bruce;er;Oliver M Dovey;Peter D Ellis;Cordelia F Langford;David A Nix;Ghia Euskirchen;Stephen Hartman;Ale;er E Urban;er;Peter A. Kraus;Sara Van Calcar;Nate Heintzman;Tae Hoon Kim;Kun Wang;Chunxu Qu;Gary Hon;R. Luna;Christopher K Glass;Geoff Rosenfeld;She;Sara J Cooper;Anason Halees;Jane M Lin;Hennady P Shulha;Xiaoling Zhang;Jaafar Mousheng Xu;N. Haidar;Yong Yu;Yijun Ruan;Vishwanath R Iyer;Rol;D Green;Claes Wadelius;Peggy J Farnham;Bing Ren;Rachel A. Harte;Angie S Hinrichs;Heather Trumbower;Hiram Clawson;Jennifer Hillman;Ann S. Zweig;Kayla E. Smith;Archana Thakkapallayil;Galt P. Barber;Robert M. Kuhn;Donna Karol;L. Armengol;Christine P Bird;Paul I W de Bakker;Andrew D Kern;Nuria Lopez;Joel D Martin;Barbara E Stranger;Abigail Woodroffe;Eugene Davydov;Antigone Di;Eduardo Eyras;Ingileif B Hallgrímsdóttir;Julian Huppert;Michael C Zody;R. Gonçalo;Xavier Abecasis;Gerard G Estivill;Xiaobin Bouffard;Nancy F Guan;Jacquelyn R Hansen;B. IdolValerieV;Baishali Maduro;Jennifer C Maskeri;McDowell Morgan;Pamela J Park;Alice C Thomas;Robert W. Young;Donna M Blakesley;Erica Muzny;D. Sodergren;Kim C Whee;Huaiyang Worley;George M Jiang;A. WeinstockRichard;Tina Gibbs;Robert Graves;Elaine R Fulton;Richard K. Wilson;Michele Clamp;James Cuff;Sante Gnerre;David B Jaffe;Jean L Chang;Kerstin Lindblad;Érica L;er;er;Maxim Koriabine;Mikhail Nefedov;Kazutoyo Osoegawa;Yuko Yoshinaga;Jill E Moore Project Consortium;Michael J Purca;Henry E Pratt;Charles B Epstein;Noam Shoresh;Jessika Adrian;Trupti Kawli;Carrie A Davis;Ale;er Dobin;er;Ra;Jessica Halow;Eric L Van Nostr;Peter Freese;David U Gorkin;Yin Shen;Yupeng He;Mark Mackiewicz;Flo;B. A. Williams;Ali Mortazavi;Cheryl A. Keller;Xiao;Axel Visel;Gene W Yeo;Christopher B Burge;E. Lécuyer;David M Gilbert;Job Dekker;John Rinn;Eric M Mendenhall;Joseph R Ecker;Manolis Kellis;Robert J Klein;W. Noble;Anshul Kundaje;Roderic Guigó;Michael Cherry;Richard M. Myers;Brenton R Graveley;Mark B Gerstein;Len A Pennacchio;Michael P Sny;Bradley E Bernstein;Barbara Wold;Ross C Hardison;Thomas R Gingeras;John A. Stamatoyannopoulos - 通讯作者:
John A. Stamatoyannopoulos
A new plant-specific syntaxin-6 protein may define an intracytoplasmic route 2 for begomoviruses 3 4
一种新的植物特异性 Syntaxin-6 蛋白可能定义 Begomovirus 的胞质内途径 2 3 4
- DOI:
- 发表时间:
1970-01-01 - 期刊:
- 影响因子:0
- 作者:
B. C. Gouveia;Laura Gonçalves Costa Martins;M. Dal;João Paulo Batista Machado;José Cleydson Ferreira da Silva;Anésia Aparecida dos Santos;Joseph R Ecker;E. P. B. Fontes - 通讯作者:
E. P. B. Fontes
Joseph R Ecker的其他文献
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{{ truncateString('Joseph R Ecker', 18)}}的其他基金
Epigenome-based Cell Census and Regulatory Element Discovery in the Aging Mouse Brain
衰老小鼠大脑中基于表观基因组的细胞普查和调控元件发现
- 批准号:
10202480 - 财政年份:2019
- 资助金额:
$ 91.09万 - 项目类别:
Epigenome-based Cell Census and Regulatory Element Discovery in the Aging Mouse Brain
衰老小鼠大脑中基于表观基因组的细胞普查和调控元件发现
- 批准号:
10662306 - 财政年份:2019
- 资助金额:
$ 91.09万 - 项目类别:
Epigenome-based Cell Census and Regulatory Element Discovery in the Aging Mouse Brain
衰老小鼠大脑中基于表观基因组的细胞普查和调控元件发现
- 批准号:
10440383 - 财政年份:2019
- 资助金额:
$ 91.09万 - 项目类别:
Epigenome-based Cell Census and Regulatory Element Discovery in the Aging Mouse Brain
衰老小鼠大脑中基于表观基因组的细胞普查和调控元件发现
- 批准号:
10662306 - 财政年份:2019
- 资助金额:
$ 91.09万 - 项目类别:
Epigenome-based Cell Census and Regulatory Element Discovery in the Aging Mouse Brain
衰老小鼠大脑中基于表观基因组的细胞普查和调控元件发现
- 批准号:
10021544 - 财政年份:2019
- 资助金额:
$ 91.09万 - 项目类别:
Multidimensional Epigenomic Single Cell Analyses
多维表观基因组单细胞分析
- 批准号:
9360130 - 财政年份:2016
- 资助金额:
$ 91.09万 - 项目类别:
Multidimensional Epigenomic Single Cell Analyses
多维表观基因组单细胞分析
- 批准号:
9206421 - 财政年份:2016
- 资助金额:
$ 91.09万 - 项目类别:
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