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Search: WFRF:(Jonassen Inge)

  • Result 1-7 of 7
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1.
  • Lien, Sigbjorn, et al. (author)
  • The Atlantic salmon genome provides insights into rediploidization
  • 2016
  • In: Nature. - : Nature Publishing Group. - 0028-0836 .- 1476-4687. ; 533:7602, s. 200-205
  • Journal article (peer-reviewed)abstract
    • The whole-genome duplication 80 million years ago of the common ancestor of salmonids (salmonid-specific fourth vertebrate whole-genome duplication, Ss4R) provides unique opportunities to learn about the evolutionary fate of a duplicated vertebrate genome in 70 extant lineages. Here we present a high-quality genome assembly for Atlantic salmon (Salmo salar), and show that large genomic reorganizations, coinciding with bursts of transposon-mediated repeat expansions, were crucial for the post-Ss4R rediploidization process. Comparisons of duplicate gene expression patterns across a wide range of tissues with orthologous genes from a pre-Ss4R outgroup unexpectedly demonstrate far more instances of neofunctionalization than subfunctionalization. Surprisingly, we find that genes that were retained as duplicates after the teleost-specific whole-genome duplication 320 million years ago were not more likely to be retained after the Ss4R, and that the duplicate retention was not influenced to a great extent by the nature of the predicted protein interactions of the gene products. Finally, we demonstrate that the Atlantic salmon assembly can serve as a reference sequence for the study of other salmonids for a range of purposes.
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2.
  • Bresell, Anders, 1978- (author)
  • Characterization of protein families, sequence patterns, and functional annotations in large data sets
  • 2008
  • Doctoral thesis (other academic/artistic)abstract
    • Bioinformatics involves storing, analyzing and making predictions on massive amounts of protein and nucleotide sequence data. The thesis consists of six papers and is focused on proteins. It describes the utilization of bioinformatics techniques to characterize protein families and to detect patterns in gene expression and in polypeptide occurrences. Two protein families were bioinformatically characterized - the membrane associated proteins in eicosanoid and glutathione metabolism (MAPEG) and the Tripartite motif (TRIM) protein families.In the study of the MAPEG super-family, application of different bioinformatic methods made it possible to characterize many new members leading to a doubling of the family size. Furthermore, the MAPEG members were subdivided into families. Remarkably, in six families with previously predominantly mammalian members, fish representatives were also now detected, which dated the origin of these families back to the Cambrium ”species explosion”, thus earlier than previously anticipated. Sequence comparisons made it possible to define diagnostic sequence patterns that can be used in genome annotations. Upon publication of several MAPEG structures, these patterns were confirmed to be part of the active sites.In the TRIM study, the bioinformatic analyses made it possible to subdivide the proteins into three subtypes and to characterize a large number of members. In addition, the analyses showed crucial structural dependencies between the RING and the B-box domains of the TRIM memberRo52. The linker region between the two domains, denoted RBL, is knownto be disease associated. Now, an amphipathic helix was found to be acharacteristic feature of the RBL region, which also was used to divide the family into three subtypes.The ontology annotation treebrowser (OAT) tool was developed to detect functional similarities or common concepts in long lists of proteins or genes, typically generated from proteomics or microarray experiments. OAT was the first annotation browser to include both Gene Ontology (GO) and Medical Subject Headings (MeSH) into the same framework. The complementarity of these two ontologies was demonstrated. OAT was used in the TRIM study to detect differences in functional annotations between the subtypes.In the oligopeptide study, we investigated pentapeptide patterns that were over- or under-represented in the current de facto standard database of protein knowledge and a set of completed genomes, compared to what could be expected from amino acid compositions. We found three predominant categories of patterns: (i) patterns originating from frequently occurring families, e.g. respiratory chain-associated proteins and translation machinery proteins; (ii) proteins with structurally and/or functionally favored patterns; (iii) multicopy species-specific retrotransposons, only found in the genome set. Such patterns may influence amino acid residue based prediction algorithms. These findings in the oligopeptide study were utilized for development of a new method that detects translated introns in unverified protein predictions, which are available in great numbers due to the many completed and ongoing genome projects.A new comprehensive database of protein sequences from completed genomes was developed, denoted genomeLKPG. This database was of central importance in the MAPEG, TRIM and oligopeptide studies. The new sequence database has also been proven useful in several other studies.
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3.
  • Gjuvsland, Arne B, et al. (author)
  • Disentangling genetic and epigenetic determinants of ultrafast adaptation.
  • 2016
  • In: Molecular systems biology. - : EMBO. - 1744-4292. ; 12:12
  • Journal article (peer-reviewed)abstract
    • A major rationale for the advocacy of epigenetically mediated adaptive responses is that they facilitate faster adaptation to environmental challenges. This motivated us to develop a theoretical-experimental framework for disclosing the presence of such adaptation-speeding mechanisms in an experimental evolution setting circumventing the need for pursuing costly mutation-accumulation experiments. To this end, we exposed clonal populations of budding yeast to a whole range of stressors. By growth phenotyping, we found that almost complete adaptation to arsenic emerged after a few mitotic cell divisions without involving any phenotypic plasticity. Causative mutations were identified by deep sequencing of the arsenic-adapted populations and reconstructed for validation. Mutation effects on growth phenotypes, and the associated mutational target sizes were quantified and embedded in data-driven individual-based evolutionary population models. We found that the experimentally observed homogeneity of adaptation speed and heterogeneity of molecular solutions could only be accounted for if the mutation rate had been near estimates of the basal mutation rate. The ultrafast adaptation could be fully explained by extensive positive pleiotropy such that all beneficial mutations dramatically enhanced multiple fitness components in concert. As our approach can be exploited across a range of model organisms exposed to a variety of environmental challenges, it may be used for determining the importance of epigenetic adaptation-speeding mechanisms in general.
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4.
  • Ison, Jon, et al. (author)
  • The bio.tools registry of software tools and data resources for the life sciences
  • 2019
  • In: Genome Biology. - : BMC. - 1465-6906 .- 1474-760X. ; 20:1
  • Journal article (peer-reviewed)abstract
    • Bioinformaticians and biologists rely increasingly upon workflows for the flexible utilization of the many life science tools that are needed to optimally convert data into knowledge. We outline a pan-European enterprise to provide a catalogue () of tools and databases that can be used in these workflows. bio.tools not only lists where to find resources, but also provides a wide variety of practical information.
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5.
  • Kaufmann, Tobias, et al. (author)
  • Common brain disorders are associated with heritable patterns of apparent aging of the brain
  • 2019
  • In: Nature Neuroscience. - : Nature Publishing Group. - 1097-6256 .- 1546-1726. ; 22:10, s. 1617-
  • Journal article (peer-reviewed)abstract
    • Common risk factors for psychiatric and other brain disorders are likely to converge on biological pathways influencing the development and maintenance of brain structure and function across life. Using structural MRI data from 45,615 individuals aged 3-96 years, we demonstrate distinct patterns of apparent brain aging in several brain disorders and reveal genetic pleiotropy between apparent brain aging in healthy individuals and common brain disorders.
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6.
  • Pettifer, Steve, et al. (author)
  • The EMBRACE web service collection
  • 2010
  • In: Nucleic Acids Research. - : Oxford University Press (OUP). - 0305-1048 .- 1362-4962. ; 38, s. W683-W688
  • Journal article (peer-reviewed)abstract
    • The EMBRACE ( European Model for Bioinformatics Research and Community Education) web service collection is the culmination of a 5-year project that set out to investigate issues involved in developing and deploying web services for use in the life sciences. The project concluded that in order for web services to achieve widespread adoption, standards must be defined for the choice of web service technology, for semantically annotating both service function and the data exchanged, and a mechanism for discovering services must be provided. Building on this, the project developed: EDAM, an ontology for describing life science web services; BioXSD, a schema for exchanging data between services; and a centralized registry (http://www.embraceregistry.net) that collects together around 1000 services developed by the consortium partners. This article presents the current status of the collection and its associated recommendations and standards definitions.
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7.
  • Tislevoll, Benedicte Sjo, et al. (author)
  • Early response evaluation by single cell signaling profiling in acute myeloid leukemia
  • 2023
  • In: Nature Communications. - : Springer Nature. - 2041-1723. ; 14:1
  • Journal article (peer-reviewed)abstract
    • Aberrant pro-survival signaling is a hallmark of cancer cells, but the response to chemotherapy is poorly understood. In this study, we investigate the initial signaling response to standard induction chemotherapy in a cohort of 32 acute myeloid leukemia (AML) patients, using 36-dimensional mass cytometry. Through supervised and unsupervised machine learning approaches, we find that reduction of extracellular-signal-regulated kinase (ERK) 1/2 and p38 mitogen-activated protein kinase (MAPK) phosphorylation in the myeloid cell compartment 24 h post-chemotherapy is a significant predictor of patient 5-year overall survival in this cohort. Validation by RNA sequencing shows induction of MAPK target gene expression in patients with high phosphoERK1/2 24 h post-chemotherapy, while proteomics confirm an increase of the p38 prime target MAPK activated protein kinase 2 (MAPKAPK2). In this study, we demonstrate that mass cytometry can be a valuable tool for early response evaluation in AML and elucidate the potential of functional signaling analyses in precision oncology diagnostics.
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  • Result 1-7 of 7
Type of publication
journal article (6)
doctoral thesis (1)
Type of content
peer-reviewed (6)
other academic/artistic (1)
Author/Editor
Persson, Bengt (2)
Franke, Barbara (1)
Westman, Eric (1)
Tsolaki, Magda (1)
Agartz, Ingrid (1)
Alnæs, Dag (1)
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Haatveit, Beathe (1)
Malt, Ulrik F (1)
Melle, Ingrid (1)
Westlye, Lars T (1)
Andreassen, Ole A (1)
Wang, Lei (1)
Tamás, Markus J., 19 ... (1)
Valencia, Alfonso (1)
Engberg, Goran (1)
Erhardt, Sophie (1)
Piehl, Fredrik (1)
Warringer, Jonas, 19 ... (1)
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Migocka, Magdalena (1)
Wysocki, Robert (1)
Soininen, Hilkka (1)
Zackrisson, Martin (1)
Stenberg, Simon (1)
Cervenka, Simon (1)
de Jong, Pieter (1)
Bongcam Rudloff, Eri ... (1)
Kaufmann, Tobias (1)
van der Meer, Dennis (1)
Cordova-Palomera, Al ... (1)
Rokicki, Jaroslav (1)
Moberget, Torgeir (1)
Bettella, Francesco (1)
Barch, Deanna M. (1)
Bertolino, Alessandr ... (1)
Brandt, Christine L. (1)
Djurovic, Srdjan (1)
Doan, Nhat Trung (1)
Eisenacher, Sarah (1)
Fatouros-Bergman, He ... (1)
Flyckt, Lena (1)
Jonsson, Erik G. (1)
Kirsch, Peter (1)
Lund, Martina J. (1)
Meyer-Lindenberg, An ... (1)
Pergola, Giulio (1)
Schwarz, Emanuel (1)
Smeland, Olav B. (1)
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University
Uppsala University (4)
Umeå University (2)
University of Gothenburg (1)
Linköping University (1)
Karolinska Institutet (1)
Swedish University of Agricultural Sciences (1)
Language
English (7)
Research subject (UKÄ/SCB)
Natural sciences (5)
Medical and Health Sciences (2)

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