Robert Moulder
PhD, CChem, MRSC
robmou@utu.fi +358 29 450 3802 Tykistökatu 6 Turku Office: 7115 ORCID identifier: https://orcid.org/0000-0003-4742-0566 |
Areas of expertise
Chromatography, Mass spectrometry, proteomics, protein biomarkers, analytical chemistry, type 1 diabetes, T-helper cells, bioanalysis, supercritical fluids
Chromatography, Mass spectrometry, proteomics, protein biomarkers, analytical chemistry, type 1 diabetes, T-helper cells, bioanalysis, supercritical fluids
Biography
Following PhD studies at the University of Leeds on analytical applications of supercritical fluids, I combined these methodologies with mass spectrometry in biomarker research as a postdoctoral researcher at the Institute of Chemistry at Uppsala University, Sweden. From the chemistry department I moved to the Positron Emission Tomography facility at Uppsala University hospital where I worked as senior analytical chemist in a variety of projects including tracer quality control, development and metabolite analysis.
I moved to Finland to work with bioanalytics at Orion-Pharma, then back into academia at the University of Turku in the proteomics core facility at Turku Centre for Biotechnology. From the core facility I moved to the Molecular Immunology group of Professor Lahesmaa where I have used proteomics in the study of T helper cell subsets, in addition to biomarker studies of type 1 diabetes, sarcoidosis, atherosclerosis and ovarian cancer.
Following PhD studies at the University of Leeds on analytical applications of supercritical fluids, I combined these methodologies with mass spectrometry in biomarker research as a postdoctoral researcher at the Institute of Chemistry at Uppsala University, Sweden. From the chemistry department I moved to the Positron Emission Tomography facility at Uppsala University hospital where I worked as senior analytical chemist in a variety of projects including tracer quality control, development and metabolite analysis.
I moved to Finland to work with bioanalytics at Orion-Pharma, then back into academia at the University of Turku in the proteomics core facility at Turku Centre for Biotechnology. From the core facility I moved to the Molecular Immunology group of Professor Lahesmaa where I have used proteomics in the study of T helper cell subsets, in addition to biomarker studies of type 1 diabetes, sarcoidosis, atherosclerosis and ovarian cancer.
Research
With recent improvements in chromatographic and mass spectrometry technology it has been increasingly possible to provide detailed proteomic information of complex samples in a time efficient manner. Such characterizations of biological systems can provide important insight into cell biology and disease pathologies. Following this theme, my research pursuits are divided into two related categories, proteomic biomarker identification and proteomics characterization of cells pertinent to the immune system.
Using samples collected in the Finnish Diabetes Prediction and Prevention (DIPP) study I have used mass spectrometry based quantitative proteomics to identify early changes and risk related differences in the temporal proteomes of children that develop type 1 diabetes in comparison with age, gender and risk matched controls. Our publication of this research presented the first detailed temporal proteome of children at risk from T1D. Following on from this work further validations in independent cohorts are in progress, in addition to other T1D research and related studies. Similarly, using longitudinal samples we have studied the differences in the serum protein profiles of subjects with asymptomatic cardiovascular atherosclerosis.
The key genetic component for T1D is found amongst variants of the human leucocyte antigen (HLA) gene, the functions of which include activatation of CD4+ T cells. As inappropriate CD4+ T helper cell activation and polarization have been linked with several inflammatory and autoimmune diseases, an understanding of the molecular mechanisms of these processes is important in identifying the pathologies of related disease states. We have used quantitative proteomics to study the early changes in the differentiation process, including published proteomics works on Th17, Th2 and Th1 cells, including complementary genomics. Ongoing work concern the use of targeted and non-targeted proteomics to analyse these and other Th cell subsets, detailing protein interactions and temporal profiles.
With recent improvements in chromatographic and mass spectrometry technology it has been increasingly possible to provide detailed proteomic information of complex samples in a time efficient manner. Such characterizations of biological systems can provide important insight into cell biology and disease pathologies. Following this theme, my research pursuits are divided into two related categories, proteomic biomarker identification and proteomics characterization of cells pertinent to the immune system.
Using samples collected in the Finnish Diabetes Prediction and Prevention (DIPP) study I have used mass spectrometry based quantitative proteomics to identify early changes and risk related differences in the temporal proteomes of children that develop type 1 diabetes in comparison with age, gender and risk matched controls. Our publication of this research presented the first detailed temporal proteome of children at risk from T1D. Following on from this work further validations in independent cohorts are in progress, in addition to other T1D research and related studies. Similarly, using longitudinal samples we have studied the differences in the serum protein profiles of subjects with asymptomatic cardiovascular atherosclerosis.
The key genetic component for T1D is found amongst variants of the human leucocyte antigen (HLA) gene, the functions of which include activatation of CD4+ T cells. As inappropriate CD4+ T helper cell activation and polarization have been linked with several inflammatory and autoimmune diseases, an understanding of the molecular mechanisms of these processes is important in identifying the pathologies of related disease states. We have used quantitative proteomics to study the early changes in the differentiation process, including published proteomics works on Th17, Th2 and Th1 cells, including complementary genomics. Ongoing work concern the use of targeted and non-targeted proteomics to analyse these and other Th cell subsets, detailing protein interactions and temporal profiles.
Publications
- Pulmonary sarcoidosis is associated with exosomal vitamin D-binding protein and inflammatory molecules (2017)
- Journal of Allergy and Clinical Immunology
(A1 Refereed original research article in a scientific journal) - The progress and potential of proteomic biomarkers for type 1 diabetes in children (2017)
- Expert Review of Proteomics
(A2 Refereed review article in a scientific journal ) - Early signs of disease in type 1 diabetes (2016)
- Pediatric Diabetes
(A2 Refereed review article in a scientific journal ) - Label-Free Quantitation for Clinical Proteomics (2016) Quantitative Proteomics by Mass Spectrometry Robert Moulder, Young Ah Goo, David R. Goodlett
(A3 Refereed book chapter or chapter in a compilation book) - New Insights and Biomarkers for Type 1 Diabetes: Review for Scandinavian Journal of Immunology (2015)
- Scandinavian Journal of Immunology
(A2 Refereed review article in a scientific journal ) - Quantitative Analysis of the Erythrocyte Membrane Proteins in Polycythemia Vera Patients on Treated with Hydroxycarbamide (2015)
- EuPA open proteomics
(A1 Refereed original research article in a scientific journal) - Serum Proteomes Distinguish Children Developing Type 1 Diabetes in a Cohort With HLA-Conferred Susceptibility (2015)
- Diabetes
(A1 Refereed original research article in a scientific journal) - The human diabetes proteome project (HDPP): The 2014 update (2015)
- Translational proteomics
(A1 Refereed original research article in a scientific journal) - The L1TD1 Protein Interactome Reveals the Importance of Post-transcriptional Regulation in Human Pluripotency (2015)
- Stem Cell Reports
(A1 Refereed original research article in a scientific journal) - No association between vitamin D and β-cell autoimmunity in Finnish and Estonian children (2014)
- Diabetes/Metabolism Research and Reviews
(A1 Refereed original research article in a scientific journal) - Standard of hygiene and immune adaptation in newborn infants. (2014)
- Clinical Immunology
(A1 Refereed original research article in a scientific journal) - Statistical Analysis of Protein microarray Data: a case study in type 1 diabetes research (2014)
- Journal of Proteomics and Bioinformatics
(A2 Refereed review article in a scientific journal ) - Pre-processing of orbitrap higher energy collisional dissociation tandem mass spectra to reduce erroneous iTRAQ ratios (2012)
- Rapid Communications in Mass Spectrometry
(A1 Refereed original research article in a scientific journal) - PolyAlign –A versatile LC-MS data alignment tool for landmark-selected and automated use (2011)
- International Journal of Proteomics
(A1 Refereed original research article in a scientific journal) - Quantitative proteomics analysis of the nuclear fraction of human CD4+ cells in the early phases of IL-4-induced Th2 differentiation (2010)
- Molecular and Cellular Proteomics
(A1 Refereed original research article in a scientific journal) - Identification of novel Stat6 regulated proteins in IL-4-treated mouse lymphocytes (2009)
- Proteomics
(A1 Refereed original research article in a scientific journal) - Quantitative Proteomics Reveals GIMAP Family Proteins 1 and 4 to Be Differentially Regulated during Human T Helper Cell Differentiation (2009)
- Molecular and Cellular Proteomics
(A1 Refereed original research article in a scientific journal) - A comparative evaluation of software for the analysis of liquid chromatography-tandem mass spectrometry data from isotope coded affinity tag experiments. (2005) Moulder R, Filen JJ, Salmi J, Katajamaa M, Nevalainen OS, Oresic M, Aittokallio T, Lahesmaa R, Nyman TA
(A1 Refereed original research article in a scientific journal) - Synthesis of L-2,4-diamino[4-11C]butyric acid and its use in some in vitro and in vivo tumour models (1997)
- Nuclear Medicine and Biology
(A1 Refereed original research article in a scientific journal) - Catechol-O-methyltransferase inhibition increases the uptake of 11C-3-(3,4-dihydroxyphenyl)-L-alanine in the rat pancreas (1996)
- Scandinavian Journal of Gastroenterology
(A1 Refereed original research article in a scientific journal)