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Träfflista för sökning "WFRF:(Miettinen Jarkko) "

Search: WFRF:(Miettinen Jarkko)

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1.
  • Gopalacharyulu, Peddinti V., et al. (author)
  • An integrative approach for biological data mining and visualisation
  • 2008
  • In: International Journal of Data Mining and Bioinformatics. - : Inderscience Publishers. - 1748-5673 .- 1748-5681. ; 2:1, s. 54-77
  • Journal article (peer-reviewed)abstract
    • The emergence of systems biology necessitates development of platforms to organise and interpret plentitude of biological data. We present a system to integrate data across multiple bioinformatics databases and enable mining across various conceptual levels of biological information. The results are represented as complex networks. Context dependent mining of these networks is achieved by use of distances. Our approach is demonstrated with three applications: full metabolic network retrieval with network topology study, exploration of properties and relationships of a set of selected proteins, and combined visualisation and exploration of gene expression data with related pathways and ontologies.
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2.
  • Ibrahim, Hazem, et al. (author)
  • RFX6 haploinsufficiency predisposes to diabetes through impaired beta cell function
  • In: Diabetologia. - 0012-186X.
  • Journal article (peer-reviewed)abstract
    • Aims/hypothesis: Regulatory factor X 6 (RFX6) is crucial for pancreatic endocrine development and differentiation. The RFX6 variant p.His293LeufsTer7 is significantly enriched in the Finnish population, with almost 1:250 individuals as a carrier. Importantly, the FinnGen study indicates a high predisposition for heterozygous carriers to develop type 2 and gestational diabetes. However, the precise mechanism of this predisposition remains unknown. Methods: To understand the role of this variant in beta cell development and function, we used CRISPR technology to generate allelic series of pluripotent stem cells. We created two isogenic stem cell models: a human embryonic stem cell model; and a patient-derived stem cell model. Both were differentiated into pancreatic islet lineages (stem-cell-derived islets, SC-islets), followed by implantation in immunocompromised NOD-SCID-Gamma mice. Results: Stem cell models of the homozygous variant RFX6−/− predictably failed to generate insulin-secreting pancreatic beta cells, mirroring the phenotype observed in Mitchell–Riley syndrome. Notably, at the pancreatic endocrine stage, there was an upregulation of precursor markers NEUROG3 and SOX9, accompanied by increased apoptosis. Intriguingly, heterozygous RFX6+/− SC-islets exhibited RFX6 haploinsufficiency (54.2% reduction in protein expression), associated with reduced beta cell maturation markers, altered calcium signalling and impaired insulin secretion (62% and 54% reduction in basal and high glucose conditions, respectively). However, RFX6 haploinsufficiency did not have an impact on beta cell number or insulin content. The reduced insulin secretion persisted after in vivo implantation in mice, aligning with the increased risk of variant carriers to develop diabetes. Conclusions/interpretation: Our allelic series isogenic SC-islet models represent a powerful tool to elucidate specific aetiologies of diabetes in humans, enabling the sensitive detection of aberrations in both beta cell development and function. We highlight the critical role of RFX6 in augmenting and maintaining the pancreatic progenitor pool, with an endocrine roadblock and increased cell death upon its loss. We demonstrate that RFX6 haploinsufficiency does not affect beta cell number or insulin content but does impair function, predisposing heterozygous carriers of loss-of-function variants to diabetes. Data availability: Ultra-deep bulk RNA-seq data for pancreatic differentiation stages 3, 5 and 7 of H1 RFX6 genotypes are deposited in the Gene Expression Omnibus database with accession code GSE234289. Original western blot images are deposited at Mendeley (https://data.mendeley.com/datasets/g75drr3mgw/2). Graphical Abstract: (Figure presented.).
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3.
  • Katajamaa, Mikko, et al. (author)
  • MZmine : toolbox for processing and visualization of mass spectrometry based molecular profile data
  • 2006
  • In: Bioinformatics. - Oxford, United Kingdom : Oxford University Press. - 1367-4803 .- 1367-4811. ; 22:5, s. 634-636
  • Journal article (peer-reviewed)abstract
    • Summary: New additional methods are presented for processing and visualizing mass spectrometry based molecular profile data, implemented as part of the recently introduced MZmine software. They include new features and extensions such as support for mzXML data format, capability to perform batch processing for large number of files, support for parallel processing, new methods for calculating peak areas using post-alignment peak picking algorithm and implementation of Sammon's mapping and curvilinear distance analysis for data visualization and exploratory analysis.Avalibility: MZmine is available under GNU Public license from http://mzmine.sourceforge.net/.
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