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Plant Functional Genomics

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Cover of 'Plant Functional Genomics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter -1592594128 An Improved Method for Plant BAC Library Construction
  3. Altmetric Badge
    Chapter -1592594110 Constructing Gene-Enriched Plant Genomic Libraries Using Methylation Filtration Technology
  4. Altmetric Badge
    Chapter -1592594094 RescueMu Protocols for Maize Functional Genomics
  5. Altmetric Badge
    Chapter -1592594072 Precious Cells Contain Precious Information: Strategies and Pitfalls in Expression Analysis from a Few Cells
  6. Altmetric Badge
    Chapter -1592594052 Combined ESTs from Plant–Microbe Interactions: Using GC Counting to Determine the Species of Origin
  7. Altmetric Badge
    Chapter -1592594044 Computer Software to Find Genes in Plant Genomic DNA
  8. Altmetric Badge
    Chapter -1592594022 Genomic Colinearity as a Tool for Plant Gene Isolation
  9. Altmetric Badge
    Chapter -1592594008 Using Natural Allelic Diversity to Evaluate Gene Function
  10. Altmetric Badge
    Chapter -1592593990 Quantitative Trait Locus Analysis as a Gene Discovery Tool
  11. Altmetric Badge
    Chapter -1592593974 Transposon Tagging Using Activator (Ac) in Maize
  12. Altmetric Badge
    Chapter -1592593954 T-DNA Mutagenesis in Arabidopsis
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    Chapter -1592593942 Physical and Chemical Mutagenesis
  14. Altmetric Badge
    Chapter -1592593926 High-Throughput TILLING for Functional Genomics
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    Chapter -1592593910 Gene and Enhancer Traps for Gene Discovery
  16. Altmetric Badge
    Chapter -1592593890 High-Throughput TAIL-PCR as a Tool to Identify DNA Flanking Insertions
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    Chapter -1592593858 Custom Knock-Outs with Hairpin RNA-Mediated Gene Silencing
  18. Altmetric Badge
    Chapter -1592593844 Virus-Induced Gene Silencing
  19. Altmetric Badge
    Chapter -1592593836 Exploring the Potential of Plant RNase P as a Functional Genomics Tool
  20. Altmetric Badge
    Chapter -1592593820 Maintaining Collections of Mutants for Plant Functional Genomics
  21. Altmetric Badge
    Chapter -1592593802 Vector Construction for Gene Overexpression as a Tool to Elucidate Gene Function
  22. Altmetric Badge
    Chapter -1592593786 T-DNA Activation Tagging
  23. Altmetric Badge
    Chapter -1592593766 Expression Profiling Using cDNA Microarrays
  24. Altmetric Badge
    Chapter -1592593750 Open Architecture Expression Profiling of Plant Transcriptomes and Gene Discovery Using GeneCalling® Technology
  25. Altmetric Badge
    Chapter -1592593736 Proteomics as a Functional Genomics Tool
  26. Altmetric Badge
    Chapter -1592593716 Metabolite Profiling as a Functional Genomics Tool
  27. Altmetric Badge
    Chapter -1592593704 Growth Stage-Based Phenotypic Profiling of Plants
Attention for Chapter -1592593736: Proteomics as a Functional Genomics Tool
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Chapter title
Proteomics as a Functional Genomics Tool
Chapter number -1592593736
Book title
Plant Functional Genomics
Published in
Methods in molecular biology, January 2003
DOI 10.1385/1-59259-413-1:395
Pubmed ID
Book ISBNs
978-1-59259-413-9, 978-1-58829-145-5
Authors

Mathesius, Ulrike, Imin, Nijat, Natera, Siria H. A., Rolfe, Barry G., Ulrike Mathesius, Nijat Imin, Siria H. A. Natera, Barry G. Rolfe

Editors

Erich Grotewold

Abstract

To understand the function of all the genes in an organism, one needs to know not only which genes are expressed, when, and where, but also what the protein end products are and under which conditions they accumulate in certain tissues. Proteomics aims at describing the whole protein output of the genome and complements transcriptomic and metabolomic studies. Proteomics depends on extracting, separating, visualizing, identifying, and quantifying the proteins and their interactions present in an organism or tissue at any one time. All of these stages have limitations. Therefore, it is, at present, impossible to describe the whole proteome of any organism. Plants might synthesize many thousands of proteins at one time, and the whole potentially synthesized proteome certainly exceeds the number of estimated genes for that genome. This occurs because the gene products of one gene can differ due to alternative splicing and a variety of possible posttranslational modifications. It is, therefore, essential to optimize every step towards detecting the whole proteome while realizing the limitations. We concentrate here on the most commonly used steps in high-throughput plant proteomics with the techniques we have found most reproducible and with the highest resolution and quality.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 3%
Uruguay 1 3%
South Africa 1 3%
Unknown 26 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 34%
Researcher 6 21%
Professor 2 7%
Student > Postgraduate 2 7%
Student > Master 2 7%
Other 4 14%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 59%
Biochemistry, Genetics and Molecular Biology 4 14%
Chemistry 2 7%
Linguistics 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 3 10%