A5102892562- Diabetes and associated disorders
- Gaussian Processes and Bayesian Inference
- Advanced Proteomics Techniques and Applications
- Inflammasome and immune disorders
- Control Systems and Identification
- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- MicroRNA in disease regulation
- Mass Spectrometry Techniques and Applications
- Pancreatic function and diabetes
- Heat shock proteins research
- Gout, Hyperuricemia, Uric Acid
- Metabolomics and Mass Spectrometry Studies
- Cell death mechanisms and regulation
- Viral gastroenteritis research and epidemiology
- Estrogen and related hormone effects
- Diabetes Management and Research
- Statistical Methods and Bayesian Inference
- interferon and immune responses
- Machine Learning in Bioinformatics
- Viral Infections and Immunology Research
- Statistical Methods and Inference
- Optimal Experimental Design Methods
University of Turku
2010-2022
Åbo Akademi University
2017-2022
Turku Centre for Computer Science
2022
Turku Centre for Biotechnology
2017-2019
University of Helsinki
2010-2014
Abstract Biomedical research typically involves longitudinal study designs where samples from individuals are measured repeatedly over time and the goal is to identify risk factors (covariates) that associated with an outcome value. General linear mixed effect models standard workhorse for statistical analysis of data. However, data can be complicated reasons such as difficulties in modelling correlated values, functional (time-varying) covariates, nonlinear non-stationary effects, model...
Monosodium urate (MSU) is an endogenous danger signal that crystallized from uric acid released injured cells. MSU known to activate inflammatory response in macrophages but the molecular mechanisms involved have remained uncharacterized. Activated start secrete proteins immune and recruit other cells site of infection and/or tissue damage. Secretome characterization after activation innate system essential unravel details early phases defense responses. Here, we analyzed secretome human...
Estrogen receptor β (ERβ) is a member of the nuclear family homeostatic regulators that frequently lost in breast cancer (BC), where its presence correlates with better prognosis and less aggressive clinical outcome disease. In contrast to ERα, closest homolog, ERβ shows significant estrogen-independent activities, including ability inhibit cell cycle progression regulate gene transcription absence ligand. Investigating nature extent this constitutive activity BC MCF-7 ZR-75.1 cells by means...
Enterovirus infections have been associated with the development of type 1 diabetes in multiple studies, but little is known about enterovirus-induced responses children at risk for developing diabetes. Our aim was to use genome-wide transcriptomics data characterise enterovirus-associated changes whole-blood samples from genetic susceptibility Longitudinal (356 total) collected 28 pairs increased were screened presence enterovirus RNA. Seven these detected as enterovirus-positive, each them...
Tandem mass spectrometry-based proteomics experiments produce large amounts of raw data, and different database search engines are needed to reliably identify all the proteins from this data. Here, we present Compid, an easy-to-use software tool that can be used integrate compare protein identification results two engines, Mascot Paragon. Additionally, Compid enables extraction information result files cannot opened via Web interface calculation general statistical about peptide...
Abstract Motivation Biomedical research typically involves longitudinal study designs where samples from individuals are measured repeatedly over time and the goal is to identify risk factors (covariates) that associated with an outcome value. General linear mixed effect models have become standard workhorse for statistical analysis of data designs. However, can be complicated both practical theoretical reasons, including difficulties in modelling, correlated values, functional...
Although type 1 diabetes (T1D) is primarily a disease of the pancreatic beta-cells, understanding disease-associated alterations in whole pancreas could be important for improved treatment or prevention disease. We have characterized whole-pancreas gene expression patients with recently diagnosed T1D from Diabetes Virus Detection (DiViD) study and non-diabetic controls. Furthermore, another parallel dataset an additional laser-captured islets DiViD organ donors were analyzed together...