Literature DB >> 12618384

Large-scale discovery of induced point mutations with high-throughput TILLING.

Bradley J Till1, Steven H Reynolds, Elizabeth A Greene, Christine A Codomo, Linda C Enns, Jessica E Johnson, Chris Burtner, Anthony R Odden, Kim Young, Nicholas E Taylor, Jorja G Henikoff, Luca Comai, Steven Henikoff.   

Abstract

TILLING (Targeting Induced Local Lesions in Genomes) is a general reverse-genetic strategy that provides an allelic series of induced point mutations in genes of interest. High-throughput TILLING allows the rapid and low-cost discovery of induced point mutations in populations of chemically mutagenized individuals. As chemical mutagenesis is widely applicable and mutation detection for TILLING is dependent only on sufficient yield of PCR products, TILLING can be applied to most organisms. We have developed TILLING as a service to the Arabidopsis community known as the Arabidopsis TILLING Project (ATP). Our goal is to rapidly deliver allelic series of ethylmethanesulfonate-induced mutations in target 1-kb loci requested by the international research community. In the first year of public operation, ATP has discovered, sequenced, and delivered >1000 mutations in >100 genes ordered by Arabidopsis researchers. The tools and methodologies described here can be adapted to create similar facilities for other organisms.

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Year:  2003        PMID: 12618384      PMCID: PMC430291          DOI: 10.1101/gr.977903

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  18 in total

1.  Increased coverage of protein families with the blocks database servers.

Authors:  J G Henikoff; E A Greene; S Pietrokovski; S Henikoff
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Targeting induced local lesions IN genomes (TILLING) for plant functional genomics.

Authors:  C M McCallum; L Comai; E A Greene; S Henikoff
Journal:  Plant Physiol       Date:  2000-06       Impact factor: 8.340

3.  Primer3 on the WWW for general users and for biologist programmers.

Authors:  S Rozen; H Skaletsky
Journal:  Methods Mol Biol       Date:  2000

4.  High-throughput screening for induced point mutations.

Authors:  T Colbert; B J Till; R Tompa; S Reynolds; M N Steine; A T Yeung; C M McCallum; L Comai; S Henikoff
Journal:  Plant Physiol       Date:  2001-06       Impact factor: 8.340

5.  Predicting deleterious amino acid substitutions.

Authors:  P C Ng; S Henikoff
Journal:  Genome Res       Date:  2001-05       Impact factor: 9.043

6.  Functional genomic analysis of C. elegans chromosome I by systematic RNA interference.

Authors:  A G Fraser; R S Kamath; P Zipperlen; M Martinez-Campos; M Sohrmann; J Ahringer
Journal:  Nature       Date:  2000-11-16       Impact factor: 49.962

7.  Targeted screening for induced mutations.

Authors:  C M McCallum; L Comai; E A Greene; S Henikoff
Journal:  Nat Biotechnol       Date:  2000-04       Impact factor: 54.908

8.  High-throughput isolation of Caenorhabditis elegans deletion mutants.

Authors:  L X Liu; J M Spoerke; E L Mulligan; J Chen; B Reardon; B Westlund; L Sun; K Abel; B Armstrong; G Hardiman; J King; L McCague; M Basson; R Clover; C D Johnson
Journal:  Genome Res       Date:  1999-09       Impact factor: 9.043

9.  Genome-wide profiling of DNA methylation reveals transposon targets of CHROMOMETHYLASE3.

Authors:  Rachel Tompa; Claire M McCallum; Jeffrey Delrow; Jorja G Henikoff; Bas van Steensel; Steven Henikoff
Journal:  Curr Biol       Date:  2002-01-08       Impact factor: 10.834

10.  RNAi analysis of genes expressed in the ovary of Caenorhabditis elegans.

Authors:  F Piano; A J Schetter; M Mangone; L Stein; K J Kemphues
Journal:  Curr Biol       Date:  2000 Dec 14-28       Impact factor: 10.834

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  181 in total

Review 1.  Chlamydomonas reinhardtii at the crossroads of genomics.

Authors:  Arthur R Grossman; Elizabeth E Harris; Charles Hauser; Paul A Lefebvre; Diego Martinez; Dan Rokhsar; Jeff Shrager; Carolyn D Silflow; David Stern; Olivier Vallon; Zhaoduo Zhang
Journal:  Eukaryot Cell       Date:  2003-12

2.  PARSESNP: A tool for the analysis of nucleotide polymorphisms.

Authors:  Nicholas E Taylor; Elizabeth A Greene
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

3.  Mismatch cleavage by single-strand specific nucleases.

Authors:  Bradley J Till; Chris Burtner; Luca Comai; Steven Henikoff
Journal:  Nucleic Acids Res       Date:  2004-05-11       Impact factor: 16.971

Review 4.  Molecular markers from the transcribed/expressed region of the genome in higher plants.

Authors:  P K Gupta; S Rustgi
Journal:  Funct Integr Genomics       Date:  2004-04-17       Impact factor: 3.410

5.  Efficient target-selected mutagenesis in zebrafish.

Authors:  Erno Wienholds; Freek van Eeden; Marit Kosters; Josine Mudde; Ronald H A Plasterk; Edwin Cuppen
Journal:  Genome Res       Date:  2003-11-12       Impact factor: 9.043

6.  F-box protein AFB4 plays a crucial role in plant growth, development and innate immunity.

Authors:  Zhubing Hu; Mehmet Ali Keçeli; Maria Piisilä; Jingf Li; Mantas Survila; Pekka Heino; Günter Brader; E Tapio Palva; Jing Li
Journal:  Cell Res       Date:  2012-01-17       Impact factor: 25.617

7.  Web-based Arabidopsis functional and structural genomics resources.

Authors:  Yan Lu; Robert L Last
Journal:  Arabidopsis Book       Date:  2008-10-28

8.  TDIF peptide signaling regulates vascular stem cell proliferation via the WOX4 homeobox gene in Arabidopsis.

Authors:  Yuki Hirakawa; Yuki Kondo; Hiroo Fukuda
Journal:  Plant Cell       Date:  2010-08-20       Impact factor: 11.277

9.  Construction of short tandem target mimic (STTM) to block the functions of plant and animal microRNAs.

Authors:  Guiliang Tang; Jun Yan; Yiyou Gu; Mengmeng Qiao; Ruiwen Fan; Yiping Mao; Xiaoqing Tang
Journal:  Methods       Date:  2012-10-23       Impact factor: 3.608

10.  High-resolution melting-based TILLING of γ ray-induced mutations in rice.

Authors:  Shan Li; Song-Mei Liu; Hao-Wei Fu; Jian-Zhong Huang; Qing-Yao Shu
Journal:  J Zhejiang Univ Sci B       Date:  2018 Aug.       Impact factor: 3.066

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