Photo of Nicholas Rattray

Nicholas Rattray

Dr

 https://orcid.org/0000-0002-3528-6905

  • United Kingdom

Accepting PhD Students

20132023
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Personal profile

Personal Statement

Principle research interests lie in investigating metabolic changes throughout human life course with a focus on the dynamics of energy metabolism alongside biomarker detection. Currently developing a targeted research theme that incorporates pregnancy, frailty and ageing related clinical projects alongside novel analytical approaches that enable the targeting and quantification of pathways critical to biochemical energy production.

 

Portfolio of clinical research has covered a broad range of concepts including:

  • Population level analysis of frailty metabolism
  • Early diagnostic and theranostic biomarker detection
  • Energy metabolism across the placenta
  • Ageing effects the biological and metabolic basis of cancer

This work has also been complemented by development of statistical tools to understand how metabolite data can be automatically linked to biochemical pathways, helping to inform genomic studies and ultimately to develop models linking metabolic data and exposures to epidemiological studies.

Expertise & Capabilities

Lab has broad experience in

  • Development of cellular models of disease and ageing
  • Technical application of untargeted and targeted mass spectrometry based metabolomics pipelines with a view to high through-put levels of analysis
  • Automation of pre/post processing and informatics
  • Development of imaging mass spectrometry capability.
  • Enabling of a broad range of targeted MS workflow focusing on energy metabolites

 

Fingerprint Dive into the research topics where Nicholas Rattray is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2019 2023

STRAthclyde Diversity in Data LinkagE (STRADDLE) Doctoral Training Centre

Barry, S., Kavanagh, K., Megiddo, I., Murray, P. & Rattray, N.

1/10/19 → 31/03/23

Project: Research - Studentship

Research Output 2013 2019

4 Citations (Scopus)

Machine learning of designed translational control allows predictive pathway optimization in Escherichia coli

Jervis, A. J., Carbonell, P., Vinaixa, M., Dunstan, M. S., Hollywood, K. A., Robinson, C. J., Rattray, N. J. W., Yan, C., Swainston, N., Currin, A., Sung, R., Toogood, H., Taylor, S., Faulon, J. L., Breitling, R., Takano, E. & Scrutton, N. S., 18 Jan 2019, In : ACS Synthetic Biology. 8, 1, p. 127-136 10 p.

Research output: Contribution to journal › Article

Open Access
File
Binding sites
Ribosomes
Escherichia coli
Learning systems
Binding Sites

Normalizing untargeted periconceptional urinary metabolomics data: a comparison of approaches

Rosen Vollmar, A. K., Rattray, N. J. W., Cai, Y., Santos-Neto, Á. J., Deziel, N. C., Jukic, A. M. Z. & Johnson, C. H., 21 Sep 2019, In : Metabolites. 9, 10, 15 p., 198.

Research output: Contribution to journal › Article

Open Access
File

Activities 2019 2019

  • 1 Types of Public engagement and outreach - Media article or participation

Integrative Technologies in Precision Medicine

Zahra Rattray (Contributor), Nicholas Rattray (Contributor)
25 Mar 2019

Activity: Other activity types › Types of Public engagement and outreach - Media article or participation