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  • 1. Bjornson, Elias
    et al.
    Mukhopadhyay, Bani
    Asplund, Anna
    Pristovsek, Nusa
    Cinar, Resat
    Romeo, Stefano
    Uhlén, Mathias
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Kunos, George
    Nielsen, Jens
    Mardinoglu, Adil
    Stratification of Hepatocellular Carcinoma Patients Based on Acetate Utilization2015In: Cell reports, ISSN 2211-1247, E-ISSN 2211-1247, Vol. 13, no 9, p. 2014-2026Article in journal (Refereed)
    Abstract [en]

    Hepatocellular carcinoma (HCC) is a deadly form of liver cancer that is increasingly prevalent. We analyzed global gene expression profiling of 361 HCC tumors and 49 adjacent noncancerous liver samples by means of combinatorial network-based analysis. We investigated the correlation between transcriptome and proteome of HCC and reconstructed a functional genome-scale metabolic model (GEM) for HCC. We identified fundamental metabolic processes required for cell proliferation using the network centric view provided by the GEM. Our analysis revealed tight regulation of fatty acid biosynthesis (FAB) and highly significant deregulation of fatty acid oxidation in HCC. We predicted mitochondrial acetate as an emerging substrate for FAB through upregulation of mitochondrial acetyl-CoA synthetase (ACSS1) in HCC. We analyzed heterogeneous expression of ACSS1 and ACSS2 between HCC patients stratified by high and low ACSS1 and ACSS2 expression and revealed that ACSS1 is associated with tumor growth and malignancy under hypoxic conditions in human HCC.

  • 2.
    Fourati, Zaineb
    et al.
    Inst Pasteur, Unit Struct Dynam Macromol, F-75015 Paris, France.;CNRS, UMR 3528, F-75015 Paris, France..
    Howard, Rebecca J.
    Stockholm Univ, Dept Biochem & Biophys, S-17165 Solna, Sweden.;Stockholm Univ, Sci Life Lab, S-17165 Solna, Sweden..
    Heusser, Stephanie A.
    Stockholm Univ, Dept Biochem & Biophys, S-17165 Solna, Sweden.;Stockholm Univ, Sci Life Lab, S-17165 Solna, Sweden..
    Hu, Haidai
    Inst Pasteur, Unit Struct Dynam Macromol, F-75015 Paris, France.;CNRS, UMR 3528, F-75015 Paris, France.;UPMC Univ Paris 6, Sorbonne Univ, F-75005 Paris, France..
    Ruza, Reinis R.
    Inst Pasteur, Unit Struct Dynam Macromol, F-75015 Paris, France.;CNRS, UMR 3528, F-75015 Paris, France..
    Sauguet, Ludovic
    Inst Pasteur, Unit Struct Dynam Macromol, F-75015 Paris, France.;CNRS, UMR 3528, F-75015 Paris, France..
    Lindahl, Erik
    KTH, Centres, SeRC - Swedish e-Science Research Centre. KTH, Centres, Science for Life Laboratory, SciLifeLab. Stockholm Univ, Dept Biochem & Biophys, S-17165 Solna, Sweden.
    Delarue, Marc
    Inst Pasteur, Unit Struct Dynam Macromol, F-75015 Paris, France.;CNRS, UMR 3528, F-75015 Paris, France..
    Structural Basis for a Bimodal Allosteric Mechanism of General Anesthetic Modulation in Pentameric Ligand-Gated Ion Channels2018In: Cell reports, ISSN 2211-1247, E-ISSN 2211-1247, Vol. 23, no 4, p. 993-1004Article in journal (Refereed)
    Abstract [en]

    Ion channel modulation by general anesthetics is a vital pharmacological process with implications for receptor biophysics and drug development. Functional studies have implicated conserved sites of both potentiation and inhibition in pentameric ligand-gated ion channels, but a detailed structural mechanism for these bimodal effects is lacking. The prokaryotic model protein GLIC recapitulates anesthetic modulation of human ion channels, and it is accessible to structure determination in both apparent open and closed states. Here, we report ten X-ray structures and electrophysiological characterization of GLIC variants in the presence and absence of general anesthetics, including the surgical agent propofol. We show that general anesthetics can allosterically favor closed channels by binding in the pore or favor open channels via various subsites in the transmembrane domain. Our results support an integrated, multi-site mechanism for allosteric modulation, and they provide atomic details of both potentiation and inhibition by one of the most common general anesthetics.

  • 3. Harms, Matthew J.
    et al.
    Li, Qian
    Lee, Sunjae
    Zhang, Cheng
    Kull, Bengt
    Hallen, Stefan
    Thorell, Anders
    Alexandersson, Ida
    Hagberg, Carolina E.
    Peng, Xiao-Rong
    Mardinoglu, Adil
    Spalding, Kirsty L.
    Boucher, Jeremie
    Mature Human White Adipocytes Cultured under Membranes Maintain Identity, Function, and Can Transdifferentiate into Brown-like Adipocytes2019In: Cell reports, ISSN 2211-1247, E-ISSN 2211-1247Article in journal (Refereed)
  • 4. Hilgen, Gerrit
    et al.
    Sorbaro, Martino
    KTH, School of Engineering Sciences (SCI), Physics, Theoretical & Computational Biophysics.
    Pirmoradian, Sahar
    Muthmann, Jens-Oliver
    Kepiro, Ibolya Edit
    Ullo, Simona
    Ramirez, Cesar Juarez
    Encinas, Albert Puente
    Maccione, Alessandro
    Berdondini, Luca
    Murino, Vittorio
    Sona, Diego
    Zanacchi, Francesca Cella
    Sernagor, Evelyne
    Hennig, Matthias Helge
    Unsupervised Spike Sorting for Large-Scale, High-Density Multielectrode Arrays2017In: Cell reports, ISSN 2211-1247, E-ISSN 2211-1247, Vol. 18, no 10, p. 2521-2532Article in journal (Refereed)
    Abstract [en]

    We present amethod for automated spike sorting for recordings with high-density, large-scale multielectrode arrays. Exploiting the dense sampling of single neurons by multiple electrodes, an efficient, low-dimensional representation of detected spikes consisting of estimated spatial spike locations and dominant spike shape features is exploited for fast and reliable clustering into single units. Millions of events can be sorted in minutes, and the method is parallelized and scales better than quadratically with the number of detected spikes. Performance is demonstrated using recordings with a 4,096-channel array and validated using anatomical imaging, optogenetic stimulation, and model-based quality control. A comparison with semi-automated, shape-based spike sorting exposes significant limitations of conventional methods. Our approach demonstrates that it is feasible to reliably isolate the activity of up to thousands of neurons and that dense, multi-channel probes substantially aid reliable spike sorting.

  • 5.
    Jahn, Michael
    et al.
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Systems Biology. KTH, Centres, Science for Life Laboratory, SciLifeLab. K.
    Vialas, Vital
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH). KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Karlsen, Jan
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Systems Biology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Maddalo, Gianluca
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH). KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Edfors, Fredrik
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Forsström, Björn
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Systems Biology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Uhlén, Mathias
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Systems Biology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Käll, Lukas
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Gene Technology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Hudson, Elton P.
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Systems Biology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Growth of Cyanobacteria Is Constrained by the Abundance of Light and Carbon Assimilation Proteins2018In: Cell reports, ISSN 2211-1247, E-ISSN 2211-1247, Vol. 25, no 2, p. 478-+Article in journal (Refereed)
    Abstract [en]

    Cyanobacteria must balance separate demands for energy generation, carbon assimilation, and biomass synthesis. We used shotgun proteomics to investigate proteome allocation strategies in the model cyanobacterium Synechocystis sp. PCC 6803 as it adapted to light and inorganic carbon (C-i) limitation. When partitioning the proteome into seven functional sectors, we find that sector sizes change linearly with growth rate. The sector encompassing ribosomes is significantly smaller than in E. coli, which may explain the lower maximum growth rate in Synechocystis. Limitation of light dramatically affects multiple proteome sectors, whereas the effect of C-i limitation is weak. Carbon assimilation proteins respond more strongly to changes in light intensity than to C-i. A coarse-grained cell economy model generally explains proteome trends. However, deviations from model predictions suggest that the large proteome sectors for carbon and light assimilation are not optimally utilized under some growth conditions and may constrain the proteome space available to ribosomes.

  • 6. Mönnich, M.
    et al.
    Borgeskov, L.
    Breslin, L.
    Jakobsen, L.
    Rogowski, M.
    Doganli, C.
    Schrøder, J. M.
    Mogensen, J. B.
    Blinkenkjær, L.
    Harder, L. M.
    Lundberg, Emma
    KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Cellular and Clinical Proteomics. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Geimer, S.
    Christensen, S. T.
    Andersen, J. S.
    Larsen, L. A.
    Pedersen, L. B.
    CEP128 Localizes to the Subdistal Appendages of the Mother Centriole and Regulates TGF-β/BMP Signaling at the Primary Cilium2018In: Cell reports, ISSN 2211-1247, E-ISSN 2211-1247, Vol. 22, no 10, p. 2601-2614Article in journal (Refereed)
    Abstract [en]

    The centrosome is the main microtubule-organizing center in animal cells and comprises a mother and daughter centriole surrounded by pericentriolar material. During formation of primary cilia, the mother centriole transforms into a basal body that templates the ciliary axoneme. Ciliogenesis depends on mother centriole-specific distal appendages, whereas the role of subdistal appendages in ciliary function is unclear. Here, we identify CEP128 as a centriole subdistal appendage protein required for regulating ciliary signaling. Loss of CEP128 did not grossly affect centrosomal or ciliary structure but caused impaired transforming growth factor-β/bone morphogenetic protein (TGF-β/BMP) signaling in zebrafish and at the primary cilium in cultured mammalian cells. This phenotype is likely the result of defective vesicle trafficking at the cilium as ciliary localization of RAB11 was impaired upon loss of CEP128, and quantitative phosphoproteomics revealed that CEP128 loss affects TGF-β1-induced phosphorylation of multiple proteins that regulate cilium-associated vesicle trafficking. Mönnich et al. show that CEP128 localizes to the subdistal appendages of the mother centriole and basal body of the primary cilium. CEP128 regulates vesicular trafficking and targeting of RAB11 to the primary cilium. CEP128 loss leads to impaired TGF-β/BMP signaling, which, in zebrafish, is associated with defective organ development.

  • 7. Robinson, J. L.
    et al.
    Feizi, A.
    Uhlén, Mathias
    KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Nielsen, Jens
    KTH, Centres, Science for Life Laboratory, SciLifeLab.
    A Systematic Investigation of the Malignant Functions and Diagnostic Potential of the Cancer Secretome2019In: Cell reports, ISSN 2211-1247, E-ISSN 2211-1247, Vol. 26, no 10, p. 2622-2635.e5Article in journal (Refereed)
    Abstract [en]

    The collection of proteins secreted from a cell—the secretome—is of particular interest in cancer pathophysiology due to its diagnostic potential and role in tumorigenesis. However, cancer secretome studies are often limited to one tissue or cancer type or focus on biomarker prediction without exploring the associated functions. We therefore conducted a pan-cancer analysis of secretome gene expression changes to identify candidate diagnostic biomarkers and to investigate the underlying biological function of these changes. Using transcriptomic data spanning 32 cancer types and 30 healthy tissues, we quantified the relative diagnostic potential of secretome proteins for each cancer. Furthermore, we offer a potential mechanism by which cancer cells relieve secretory pathway stress by decreasing the expression of tissue-specific genes, thereby facilitating the secretion of proteins promoting invasion and proliferation. These results provide a more systematic understanding of the cancer secretome, facilitating its use in diagnostics and its targeting for therapeutic development. © 2019 The Authors Robinson et al. compare secreted protein expression changes across different cancer types and healthy tissues to identify candidate biomarkers likely to be detectable in biological fluids. Functional analyses reveal a pattern whereby cancers decrease the expression of secreted proteins responsible for tissue of origin function in favor of those supporting proliferation and invasion.

  • 8.
    Robinson, Jonathan L.
    et al.
    Chalmers Univ Technol, Dept Biol & Biol Engn, Kemivagen 10, Gothenburg, Sweden.;Chalmers Univ Technol, Wallenberg Ctr Prot Res, Kemivagen 10, Gothenburg, Sweden..
    Feizi, Amir
    Chalmers Univ Technol, Dept Biol & Biol Engn, Kemivagen 10, Gothenburg, Sweden.;Novo Nordisk Res Ctr Oxford, Old Campus Rd, Oxford, England..
    Uhlén, Mathias
    KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Nielsen, Jens
    KTH, Centres, Science for Life Laboratory, SciLifeLab. Chalmers Univ Technol, Dept Biol & Biol Engn, Kemivagen 10, Gothenburg, Sweden ; Chalmers Univ Technol, Wallenberg Ctr Prot Res, Kemivagen 10, Gothenburg, Sweden ; Tech Univ Denmark, Novo Nordisk Fdn, Ctr Biosustainabil, DK-2800 Lyngby, Denmark.
    A Systematic Investigation of the Malignant Functions and Diagnostic Potential of the Cancer Secretome2019In: Cell reports, ISSN 2211-1247, E-ISSN 2211-1247, Vol. 26, no 10, p. 2622-+Article in journal (Refereed)
    Abstract [en]

    The collection of proteins secreted from a cell-the secretome-is of particular interest in cancer pathophysiology due to its diagnostic potential and role in tumorigenesis. However, cancer secretome studies are often limited to one tissue or cancer type or focus on biomarker prediction without exploring the associated functions. We therefore conducted a pan-cancer analysis of secretome gene expression changes to identify candidate diagnostic biomarkers and to investigate the underlying biological function of these changes. Using transcriptomic data spanning 32 cancer types and 30 healthy tissues, we quantified the relative diagnostic potential of secretome proteins for each cancer. Furthermore, we offer a potential mechanism by which cancer cells relieve secretory pathway stress by decreasing the expression of tissue-specific genes, thereby facilitating the secretion of proteins promoting invasion and proliferation. These results provide a more systematic understanding of the cancer secretome, facilitating its use in diagnostics and its targeting for therapeutic development.

  • 9. Väremo, Leif
    et al.
    Scheele, Camilla
    Broholm, Christa
    Mardinoglu, Adil
    Kampf, Caroline
    Asplund, Anna
    Nookaew, Intawat
    Uhlén, Mathias
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Pedersen, Bente Klarlund
    Nielsen, Jens
    KTH, School of Biotechnology (BIO), Gene Technology. Chalmers University of Technology, Sweden.
    Proteome- and Transcriptome-Driven Reconstruction of the Human Myocyte Metabolic Network and Its Use for Identification of Markers for Diabetes2015In: Cell reports, ISSN 2211-1247, E-ISSN 2211-1247, Vol. 11, no 6, p. 921-933Article in journal (Refereed)
    Abstract [en]

    Skeletal myocytes are metabolically active and susceptible to insulin resistance and are thus implicated in type 2 diabetes (T2D). This complex disease involves systemic metabolic changes, and their elucidation at the systems level requires genome-wide data and biological networks. Genome-scale metabolic models (GEMs) provide a network context for the integration of high-throughput data. We generated myocyte-specific RNA-sequencing data and investigated their correlation with proteome data. These data were then used to reconstruct a comprehensive myocyte GEM. Next, we performed a meta-analysis of six studies comparing muscle transcription in T2D versus healthy subjects. Transcriptional changes were mapped on the myocyte GEM, revealing extensive transcriptional regulation in T2D, particularly around pyruvate oxidation, branched-chain amino acid catabolism, and tetrahydrofolate metabolism, connected through the downregulated dihydrolipoamide dehydrogenase. Strikingly, the gene signature underlying this metabolic regulation successfully classifies the disease state of individual samples, suggesting that regulation of these pathways is a ubiquitous feature of myocytes in response to T2D.

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