Integrated transcriptome and proteome data: the challenges ahead.

Catherine Jane Hack

    Research output: Contribution to journalArticle

    114 Citations (Scopus)

    Abstract

    The recent availability of platform technologies for high throughput proteome analysis has led to the emergence of integrated messenger RNA and protein expression data. The Pearson correlation coefficients for these data range from 0.46 to 0.76. In these integrated studies, serial analyses of gene expression and DNA microarrays have been used to quantify the transcriptome, while proteome analysis has been based on two-dimensional gel electrophoresis, isotope coded affinity tags and multidimensional protein identification technology. This paper provides a comprehensive review of the analytical techniques used in these studies and explores the extent to which the choice of experimental methodology can bias the correlation or the ability to detect proteins.
    LanguageEnglish
    Pages212-9
    JournalBriefings in Functional Genomics and Proteomics
    Volume3
    Issue number3
    Publication statusPublished - 2004

    Fingerprint

    Proteome
    Transcriptome
    Technology
    Proteins
    Electrophoresis, Gel, Two-Dimensional
    Microarrays
    Oligonucleotide Array Sequence Analysis
    Electrophoresis
    Gene expression
    Isotopes
    Gels
    Throughput
    Availability
    Gene Expression
    Messenger RNA
    DNA

    Cite this

    @article{0dbd9d8740e74037b84dd716127cf605,
    title = "Integrated transcriptome and proteome data: the challenges ahead.",
    abstract = "The recent availability of platform technologies for high throughput proteome analysis has led to the emergence of integrated messenger RNA and protein expression data. The Pearson correlation coefficients for these data range from 0.46 to 0.76. In these integrated studies, serial analyses of gene expression and DNA microarrays have been used to quantify the transcriptome, while proteome analysis has been based on two-dimensional gel electrophoresis, isotope coded affinity tags and multidimensional protein identification technology. This paper provides a comprehensive review of the analytical techniques used in these studies and explores the extent to which the choice of experimental methodology can bias the correlation or the ability to detect proteins.",
    author = "Hack, {Catherine Jane}",
    year = "2004",
    language = "English",
    volume = "3",
    pages = "212--9",
    journal = "Briefings in Functional Genomics and Proteomics",
    issn = "1473-9550",
    number = "3",

    }

    Integrated transcriptome and proteome data: the challenges ahead. / Hack, Catherine Jane.

    In: Briefings in Functional Genomics and Proteomics, Vol. 3, No. 3, 2004, p. 212-9.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Integrated transcriptome and proteome data: the challenges ahead.

    AU - Hack, Catherine Jane

    PY - 2004

    Y1 - 2004

    N2 - The recent availability of platform technologies for high throughput proteome analysis has led to the emergence of integrated messenger RNA and protein expression data. The Pearson correlation coefficients for these data range from 0.46 to 0.76. In these integrated studies, serial analyses of gene expression and DNA microarrays have been used to quantify the transcriptome, while proteome analysis has been based on two-dimensional gel electrophoresis, isotope coded affinity tags and multidimensional protein identification technology. This paper provides a comprehensive review of the analytical techniques used in these studies and explores the extent to which the choice of experimental methodology can bias the correlation or the ability to detect proteins.

    AB - The recent availability of platform technologies for high throughput proteome analysis has led to the emergence of integrated messenger RNA and protein expression data. The Pearson correlation coefficients for these data range from 0.46 to 0.76. In these integrated studies, serial analyses of gene expression and DNA microarrays have been used to quantify the transcriptome, while proteome analysis has been based on two-dimensional gel electrophoresis, isotope coded affinity tags and multidimensional protein identification technology. This paper provides a comprehensive review of the analytical techniques used in these studies and explores the extent to which the choice of experimental methodology can bias the correlation or the ability to detect proteins.

    M3 - Article

    VL - 3

    SP - 212

    EP - 219

    JO - Briefings in Functional Genomics and Proteomics

    T2 - Briefings in Functional Genomics and Proteomics

    JF - Briefings in Functional Genomics and Proteomics

    SN - 1473-9550

    IS - 3

    ER -