Skip to content

Research at St Andrews

Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system

Research output: Contribution to journalArticle

DOI

Open Access permissions

Open

Standard

Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system. / Koussounadis, Antonis; Langdon, Simon; Um, In Hwa; Harrison, David James; Smith, V Anne.

In: Scientific Reports, Vol. 5, 10775, 08.06.2015.

Research output: Contribution to journalArticle

Harvard

Koussounadis, A, Langdon, S, Um, IH, Harrison, DJ & Smith, VA 2015, 'Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system', Scientific Reports, vol. 5, 10775. https://doi.org/10.1038/srep10775

APA

Koussounadis, A., Langdon, S., Um, I. H., Harrison, D. J., & Smith, V. A. (2015). Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system. Scientific Reports, 5, [10775]. https://doi.org/10.1038/srep10775

Vancouver

Koussounadis A, Langdon S, Um IH, Harrison DJ, Smith VA. Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system. Scientific Reports. 2015 Jun 8;5. 10775. https://doi.org/10.1038/srep10775

Author

Koussounadis, Antonis ; Langdon, Simon ; Um, In Hwa ; Harrison, David James ; Smith, V Anne. / Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system. In: Scientific Reports. 2015 ; Vol. 5.

Bibtex - Download

@article{7a40ab492afe4ad5a1c8df6fd79e991a,
title = "Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system",
abstract = "Differential mRNA expression studies implicitly assume that changes in mRNAexpression have biological meaning, most likely mediated by correspondingchanges in protein levels. Yet studies into mRNA-protein correspondence haveshown notoriously poor correlation between mRNA and protein expression levels, creating concern for inferences from only mRNA expression data. However, none of these studies have examined in particular differentially expressed mRNA. Here, we examined this question in an ovarian cancer xenograft model. We measured protein and mRNA expression for twenty-nine genes in four drug-treatment conditions and in untreated controls. We identified mRNAs differentially expressed between drug-treated xenografts and controls, then analysed mRNA-protein expression correlation across a five-point time-course within each of the four experimental conditions. We evaluated correlations between mRNAs and their protein products for mRNAs differentially expressed within an experimental condition compared to those that are not. We found that differentially expressed mRNAs correlate significantly better with their protein product than non-differentially expressed mRNAs. This result increases confidence for the use of differential mRNA expression for biological discovery in this system, as well as providing optimism for the usefulness of inferences from mRNA expression in general.",
author = "Antonis Koussounadis and Simon Langdon and Um, {In Hwa} and Harrison, {David James} and Smith, {V Anne}",
note = "This work was supported by Medical Research Scotland (FRG353 to VAS), the FP7- Directorate-General for Research and Innovation of the European Commission (EU HEALTHF4-2012-305033 to Coordinating Action Systems Medicine to DJH); the Chief Scientist Office of Scotland (to DJH) and the Scottish Funding Council (to DJH and SPL).",
year = "2015",
month = "6",
day = "8",
doi = "10.1038/srep10775",
language = "English",
volume = "5",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature publishing group",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Relationship between differentially expressed mRNA and mRNA-protein correlations in a xenograft model system

AU - Koussounadis, Antonis

AU - Langdon, Simon

AU - Um, In Hwa

AU - Harrison, David James

AU - Smith, V Anne

N1 - This work was supported by Medical Research Scotland (FRG353 to VAS), the FP7- Directorate-General for Research and Innovation of the European Commission (EU HEALTHF4-2012-305033 to Coordinating Action Systems Medicine to DJH); the Chief Scientist Office of Scotland (to DJH) and the Scottish Funding Council (to DJH and SPL).

PY - 2015/6/8

Y1 - 2015/6/8

N2 - Differential mRNA expression studies implicitly assume that changes in mRNAexpression have biological meaning, most likely mediated by correspondingchanges in protein levels. Yet studies into mRNA-protein correspondence haveshown notoriously poor correlation between mRNA and protein expression levels, creating concern for inferences from only mRNA expression data. However, none of these studies have examined in particular differentially expressed mRNA. Here, we examined this question in an ovarian cancer xenograft model. We measured protein and mRNA expression for twenty-nine genes in four drug-treatment conditions and in untreated controls. We identified mRNAs differentially expressed between drug-treated xenografts and controls, then analysed mRNA-protein expression correlation across a five-point time-course within each of the four experimental conditions. We evaluated correlations between mRNAs and their protein products for mRNAs differentially expressed within an experimental condition compared to those that are not. We found that differentially expressed mRNAs correlate significantly better with their protein product than non-differentially expressed mRNAs. This result increases confidence for the use of differential mRNA expression for biological discovery in this system, as well as providing optimism for the usefulness of inferences from mRNA expression in general.

AB - Differential mRNA expression studies implicitly assume that changes in mRNAexpression have biological meaning, most likely mediated by correspondingchanges in protein levels. Yet studies into mRNA-protein correspondence haveshown notoriously poor correlation between mRNA and protein expression levels, creating concern for inferences from only mRNA expression data. However, none of these studies have examined in particular differentially expressed mRNA. Here, we examined this question in an ovarian cancer xenograft model. We measured protein and mRNA expression for twenty-nine genes in four drug-treatment conditions and in untreated controls. We identified mRNAs differentially expressed between drug-treated xenografts and controls, then analysed mRNA-protein expression correlation across a five-point time-course within each of the four experimental conditions. We evaluated correlations between mRNAs and their protein products for mRNAs differentially expressed within an experimental condition compared to those that are not. We found that differentially expressed mRNAs correlate significantly better with their protein product than non-differentially expressed mRNAs. This result increases confidence for the use of differential mRNA expression for biological discovery in this system, as well as providing optimism for the usefulness of inferences from mRNA expression in general.

U2 - 10.1038/srep10775

DO - 10.1038/srep10775

M3 - Article

VL - 5

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 10775

ER -

Related by author

  1. Dynamic modulation of phosphoprotein expression in ovarian cancer xenograft models

    Koussounadis, A., Langdon, S., Um, I. H., Kay, C., Francis, K., Harrison, D. J. & Smith, V. A., 10 Mar 2016, In : BMC Cancer. 16, 13 p., 205.

    Research output: Contribution to journalArticle

  2. Genome-scale CRISPR/Cas9 screen determines factors modulating sensitivity to ProTide NUC-1031

    Sarr, A., Bré, J., Um, I. H., Chan, T. H., Mullen, P., Harrison, D. J. & Reynolds, P. A., 21 May 2019, In : Scientific Reports. 9, 13 p., 7643.

    Research output: Contribution to journalArticle

  3. Multi-scale genomic, transcriptomic and proteomic analysis of colorectal cancer cell lines to identify novel biomarkers

    Briffa, R., Um, I. H., Faratian, D., Zhou, Y., Turnbull, A. K., Langdon, S. P. & Harrison, D. J., 17 Dec 2015, In : PLoS One. 10, 12, 29 p., e0144708.

    Research output: Contribution to journalArticle

  4. The role of HDAC2 in chromatin remodelling and response to chemotherapy in ovarian cancer

    Huang, R., Langdon, S. P., Tse, M., Mullen, P., Um, I. H., Faratian, D. & Harrison, D. J., 14 Dec 2015, In : Oncotarget. 7, 4, p. 4695-4711 17 p.

    Research output: Contribution to journalArticle

  5. Novel Monte Carlo approach quantifies data assemblage utility and reveals power of integrating molecular and clinical information for cancer prognosis

    Verleyen, W., Langdon, S. P., Faratian, D., Harrison, D. J. & Smith, V. A., 27 Oct 2015, In : Scientific Reports. 5, 7 p., 15563.

    Research output: Contribution to journalArticle

Related by journal

  1. Scientific Reports (Journal)

    Alan J. Stewart (Member of editorial board)
    Jun 2019 → …

    Activity: Publication peer-review and editorial work typesEditor of research journal

  2. Scientific Reports (Journal)

    Monica Arso Civil (Reviewer)
    Jul 2018 → …

    Activity: Publication peer-review and editorial work typesPeer review of manuscripts

  3. Scientific Reports (Journal)

    Anouk Margaretha Borst (Reviewer)
    10 Feb 2017

    Activity: Publication peer-review and editorial work typesPeer review of manuscripts

  4. Scientific Reports (Journal)

    Emma Louise Carroll (Member of editorial board)
    3 Oct 2016

    Activity: Publication peer-review and editorial work typesEditor of research journal

  5. Scientific Reports (Journal)

    Uli Schwarz-Linek (Reviewer)
    11 May 2016

    Activity: Publication peer-review and editorial work typesPeer review of manuscripts

Related by journal

  1. A comparative analysis of response times shows that multisensory benefits and interactions are not equivalent

    Innes, B. R. & Otto, T. U., 27 Feb 2019, In : Scientific Reports. 9, 10 p., 2921.

    Research output: Contribution to journalArticle

  2. A large explosive silicic eruption in the British Palaeogene Igneous Province

    Troll, V. R., Emeleus, C. H., Nicoll, G. R., Mattsson, T., Ellam, R. M., Donaldson, C. H. & Harris, C., 24 Jan 2019, In : Scientific Reports. 9, 1, 15 p., 494.

    Research output: Contribution to journalArticle

  3. Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis

    Brieu, N., Gavriel, C., Nearchou, I. P., Harrison, D. J., Schmidt, G. & Caie, P. D., 26 Mar 2019, In : Scientific Reports. 9, 5174.

    Research output: Contribution to journalArticle

  4. Balanced cholinergic modulation of spinal locomotor circuits via M2 and M3 muscarinic receptors

    Nascimento, F., Spindler, L. R. B. & Miles, G. B., 1 Oct 2019, In : Scientific Reports. 9, 16 p., 14051.

    Research output: Contribution to journalArticle

  5. Classifying grey seal behaviour in relation to environmental variability and commercial fishing activity - a multivariate hidden Markov model

    van Beest, F. M., Mews, S., Elkenkamp, S., Schuhmann, P., Tsolak, D., Wobbe, T., Bartolino, V., Bastardie, F., Dietz, R., von Dorrien, C., Galatius, A., Karlsson, O., McConnell, B., Nabe-Nielsen, J., Olsen, M. T., Teilmann, J. & Langrock, R., 4 Apr 2019, In : Scientific Reports. 9, 14 p., 5642.

    Research output: Contribution to journalArticle

ID: 184482238

Top