Literature DB >> 19597503

Metabolic network analysis integrated with transcript verification for sequenced genomes.

Ani Manichaikul1, Lila Ghamsari, Erik F Y Hom, Chenwei Lin, Ryan R Murray, Roger L Chang, S Balaji, Tong Hao, Yun Shen, Arvind K Chavali, Ines Thiele, Xinping Yang, Changyu Fan, Elizabeth Mello, David E Hill, Marc Vidal, Kourosh Salehi-Ashtiani, Jason A Papin.   

Abstract

With sequencing of thousands of organisms completed or in progress, there is a growing need to integrate gene prediction with metabolic network analysis. Using Chlamydomonas reinhardtii as a model, we describe a systems-level methodology bridging metabolic network reconstruction with experimental verification of enzyme encoding open reading frames. Our quantitative and predictive metabolic model and its associated cloned open reading frames provide useful resources for metabolic engineering.

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Year:  2009        PMID: 19597503      PMCID: PMC3139173          DOI: 10.1038/nmeth.1348

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  14 in total

1.  Open-reading-frame sequence tags (OSTs) support the existence of at least 17,300 genes in C. elegans.

Authors:  J Reboul; P Vaglio; N Tzellas; N Thierry-Mieg; T Moore; C Jackson; T Shin-i; Y Kohara; D Thierry-Mieg; J Thierry-Mieg; H Lee; J Hitti; L Doucette-Stamm; J L Hartley; G F Temple; M A Brasch; J Vandenhaute; P E Lamesch; D E Hill; M Vidal
Journal:  Nat Genet       Date:  2001-03       Impact factor: 38.330

2.  GATEWAY recombinational cloning: application to the cloning of large numbers of open reading frames or ORFeomes.

Authors:  A J Walhout; G F Temple; M A Brasch; J L Hartley; M A Lorson; S van den Heuvel; M Vidal
Journal:  Methods Enzymol       Date:  2000       Impact factor: 1.600

3.  UniProt: the Universal Protein knowledgebase.

Authors:  Rolf Apweiler; Amos Bairoch; Cathy H Wu; Winona C Barker; Brigitte Boeckmann; Serenella Ferro; Elisabeth Gasteiger; Hongzhan Huang; Rodrigo Lopez; Michele Magrane; Maria J Martin; Darren A Natale; Claire O'Donovan; Nicole Redaschi; Lai-Su L Yeh
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

4.  A profile hidden Markov model for signal peptides generated by HMMER.

Authors:  Zemin Zhang; William I Wood
Journal:  Bioinformatics       Date:  2003-01-22       Impact factor: 6.937

5.  Predicting subcellular localization of proteins using machine-learned classifiers.

Authors:  Z Lu; D Szafron; R Greiner; P Lu; D S Wishart; B Poulin; J Anvik; C Macdonell; R Eisner
Journal:  Bioinformatics       Date:  2004-01-22       Impact factor: 6.937

Review 6.  Reconstruction of cellular signalling networks and analysis of their properties.

Authors:  Jason A Papin; Tony Hunter; Bernhard O Palsson; Shankar Subramaniam
Journal:  Nat Rev Mol Cell Biol       Date:  2005-02       Impact factor: 94.444

7.  Global analysis of circadian expression in the cyanobacterium Synechocystis sp. strain PCC 6803.

Authors:  Ken-ichi Kucho; Kazuhisa Okamoto; Yuka Tsuchiya; Satoshi Nomura; Mamoru Nango; Minoru Kanehisa; Masahiro Ishiura
Journal:  J Bacteriol       Date:  2005-03       Impact factor: 3.490

Review 8.  Prediction of genomic functional elements.

Authors:  Steven J M Jones
Journal:  Annu Rev Genomics Hum Genet       Date:  2006       Impact factor: 8.929

9.  Flux balance analysis of primary metabolism in Chlamydomonas reinhardtii.

Authors:  Nanette R Boyle; John A Morgan
Journal:  BMC Syst Biol       Date:  2009-01-07

10.  An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR).

Authors:  Jennifer L Reed; Thuy D Vo; Christophe H Schilling; Bernhard O Palsson
Journal:  Genome Biol       Date:  2003-08-28       Impact factor: 13.583

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  34 in total

Review 1.  How the green alga Chlamydomonas reinhardtii keeps time.

Authors:  Thomas Schulze; Katja Prager; Hannes Dathe; Juliane Kelm; Peter Kiessling; Maria Mittag
Journal:  Protoplasma       Date:  2010-02-20       Impact factor: 3.356

2.  Transcriptional response to copper excess and identification of genes involved in heavy metal tolerance in the extremophilic microalga Chlamydomonas acidophila.

Authors:  Sanna Olsson; Fernando Puente-Sánchez; Manuel J Gómez; Angeles Aguilera
Journal:  Extremophiles       Date:  2015-04-05       Impact factor: 2.395

3.  Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities.

Authors:  Marinka Zitnik; Francis Nguyen; Bo Wang; Jure Leskovec; Anna Goldenberg; Michael M Hoffman
Journal:  Inf Fusion       Date:  2018-09-21       Impact factor: 12.975

4.  Predictive modeling of biomass component tradeoffs in Brassica napus developing oilseeds based on in silico manipulation of storage metabolism.

Authors:  Jörg Schwender; Jordan O Hay
Journal:  Plant Physiol       Date:  2012-09-14       Impact factor: 8.340

Review 5.  Strategies for metabolic pathway engineering with multiple transgenes.

Authors:  Ralph Bock
Journal:  Plant Mol Biol       Date:  2013-03-17       Impact factor: 4.076

6.  Linking genome-scale metabolic modeling and genome annotation.

Authors:  Edik M Blais; Arvind K Chavali; Jason A Papin
Journal:  Methods Mol Biol       Date:  2013

Review 7.  Systems metabolic engineering: genome-scale models and beyond.

Authors:  John Blazeck; Hal Alper
Journal:  Biotechnol J       Date:  2010-07       Impact factor: 4.677

8.  A protocol for generating a high-quality genome-scale metabolic reconstruction.

Authors:  Ines Thiele; Bernhard Ø Palsson
Journal:  Nat Protoc       Date:  2010-01-07       Impact factor: 13.491

Review 9.  Accomplishments in genome-scale in silico modeling for industrial and medical biotechnology.

Authors:  Caroline B Milne; Pan-Jun Kim; James A Eddy; Nathan D Price
Journal:  Biotechnol J       Date:  2009-12       Impact factor: 4.677

Review 10.  Applications of genome-scale metabolic reconstructions.

Authors:  Matthew A Oberhardt; Bernhard Ø Palsson; Jason A Papin
Journal:  Mol Syst Biol       Date:  2009-11-03       Impact factor: 11.429

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