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Institut for Molekylærbiologi og Genetik

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Peer-review'ede publikationer ved MBG - 2025

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Peer-review'ede publikationer ved MBG - alle år

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Hammami, H., Mota, R. R., Vanderick, S., Naderi, S., Bastin, C., Gengler, N. & GplusE Consortium (2019). Using milk MIR spectra to identify candidate genes associated with climate--smart traits in cattle. I Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science (Bind 25, s. 607). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-890-2

Sehgal, P., Mogensen, J. E. & Otzen, D. (2005). Using micellar mole fractions to assess membrane protein stability in mixed micelles. B B A - Biomembranes, 1761, 59-68. https://doi.org/10.1016/j.bbamem.2005.08.006

Frislev, H. S., Nielsen, J., Nylandsted, J. & Otzen, D. (2018). Using Liprotides to Deliver Cholesterol to the Plasma Membrane. Journal of Membrane Biology, 25(4), 581-592. https://doi.org/10.1007/s00232-018-0034-y

Jones, T. A. & Thirup, S. (1986). Using known substructures in protein model building and crystallography. E M B O Journal, 5(4), 819-22.

Kristensen, T. G., Nielsen, J. & Pedersen, C. N. S. (2011). Using Inverted Indices for Accelerating LINGO Calculations. Journal of Chemical Information and Modeling, 51(3), 597-600. https://doi.org/10.1021/ci100437e

Gaspar, H. A., Gerring, Z., Hübel, C., Middeldorp, C. M., Derks, E. M., Breen, G. & Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (2019). Using genetic drug-target networks to develop new drug hypotheses for major depressive disorder. Translational Psychiatry, 9(1), Artikel 117. https://doi.org/10.1038/s41398-019-0451-4

Mailund, T., Halager, A. E. & Westergaard, M. (2012). Using colored Petri nets to construct coalescent hidden markov models: Automatic translation from demographic specifications to efficient inference methods. Lecture Notes in Computer Science, 7347, 32-50. https://doi.org/10.1007/978-3-642-31131-4_3

Emily, M., Mailund, T., Hein, J., Schauser, L. & Schierup, M. H. (2009). Using biological networks to search for interacting loci in genomewide association studies. European Journal of Human Genetics. https://doi.org/10.1038/ejhg.2009.15

Bjergbæk, L., Jensen, S., Westergaard, O. & Andersen, A. H. (1999). Using a biochemical approach to identify the primary dimerization regions in human DNA topoisomerase IIα. Journal of Biological Chemistry, 274, 26529-26536.

Sørensen, M. T. & GplusE Consortium (2017). Use of metabolic clusters predicted by milk metabolites and enzymes to identify potential risk cows. I Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science (s. 404-404). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-859-9

Bager, R., Kristensen, T. K., Jensen, J. K., Szczur, A., Christensen, A., Andersen, L. M., Johansen, J. S., Larsen, N., Baatrup, E., Huang, M., Ploug, M. & Andreasen, P. (2012). Urokinase-type Plasminogen Activator-like Proteases in Teleosts Lack Genuine Receptor-binding Epidermal Growth Factor-like Domains. Journal of Biological Chemistry, 287(33), 27526-27536. https://doi.org/10.1074/jbc.M112.369207

Thirup, S. S., Gupta, V. & Quistgaard, E. M. H. (2012). Up, down, and around: Identifying recurrent interactions within and between super-secondary structures in β-propellers. I A. E. Kister (red.), Protein Supersecondary Structures (s. 35-50). Humana Press. https://doi.org/10.1007/978-1-62703-065-6_3

Carbone, G. L., Mauriello, A., Christiansen, M., Oxvig, C., Spagnoli, L. G., Schwartz, R. S. & Sangiorgi, G. (2003). Unstable carotid plaque: biochemical and cellular marker of vulnerability. Journal of Cardiovascular Medicine (Hagerstown), 4, 398-406.

Subrahmaniam, H. J., Salomonsen, C. L., Radutoiu, S., Ehlers, B. & Glasius, M. (2023). Unraveling the secrets of plant roots: Simplified method for large scale root exudate sampling and analysis in Arabidopsis thaliana [version 3; peer review: 2 approved, 1 approved with reservations]. Open Research Europe, 3(12), Artikel 12. https://doi.org/10.12688/openreseurope.15377.2

Akhtar, H., Hamming, O. J., Jan, S. U., Akhtar, S., Terczynska-Dyla, E., Siupka, P., Shafique, A., Hartmann, R. & Sadia, H. (2016). Unraveling the molecular mechanism governing the tissue specific expression of IFNλR1. Pakistan journal of pharmaceutical sciences, 29(3), 795-799. http://www.pjps.pk/wp-content/uploads/pdfs/29/3/Paper-6.pdf

Ottosson, F., Russo, F., Abrahamsson, A., MacSween, N., Courraud, J., Skogstrand, K., Melander, O., Ericson, U., Orho-Melander, M., Cohen, A. S., Grove, J., Mortensen, P. B., Hougaard, D. M. & Ernst, M. (2024). Unraveling the metabolomic architecture of autism in a large Danish population-based cohort. BMC Medicine, 22(1), Artikel 302. https://doi.org/10.1186/s12916-024-03516-7

Munch, K., Schierup, M. H. & Mailund, T. (2014). Unraveling recombination rate evolution using ancestral recombination maps. BioEssays, 36(9), 892-900. https://doi.org/10.1002/bies.201400047

Serrano, K., Tedeschi, F., Andersen, S. U. & Scheller, H. V. (2024). Unraveling plant-microbe symbioses using single-cell and spatial transcriptomics. Trends in Plant Science, 29(12), 1356-1367. https://doi.org/10.1016/j.tplants.2024.06.008

Sanggaard, K. W., Danielsen, C. C., Wogensen, L., Vinding, M. S., Rydtoft, L. M., Mortensen, M. B., Karring, H., Nielsen, N. C., Wang, T., Thøgersen, I. B. & Enghild, J. J. (2012). Unique structural features facilitate lizard tail autotomy. P L o S One, 7(12), e51803. https://doi.org/10.1371/journal.pone.0051803

Nielsen, J. T., Bjerring, M., Jeppesen, M., Pedersen, R. O., Pedersen, J. M., Hein, K. L., Vosegaard, T., Skrydstrup, T., Otzen, D. & Nielsen, N. C. (2009). Unique identification of supramolecular structures in amyloid fibrils by solid-state NMR spectroscopy. Angewandte Chemie International Edition, 48, 2118-2121.

Rasmusson, A. G., Handa, H. & Møller, I. M. (red.) (2008). Unique aspects of plant mitochondria. Mitochondrion, 8(1), 1-4.

Davidson, S., McCabe, T. M., Crotta, S., Gad, H. H., Hartmann, R., Hessel, E. M., Beinke, S. & Wack, A. (2017). Unique and Overlapping Actions of Type I and III IFNs in Influenza A Virus Infection and Implications for Therapy. Cytokine, 100, 123-124. https://www.conference-service.com/ICIS2017/documents/agenda/data/abstracts/en/abstract_0228.html

Hilker, R., Sickinger, C., Pedersen, C. N. S. & Stoye, J. (2012). UniMoG - A unifying framework for genomic distance calculation and sorting based DCJ. Bioinformatics, 28(19), 2509-2511. https://doi.org/10.1093/bioinformatics/bts440

Aamann, M. D., Norregaard, R., Kristensen, M. L. V., Stevnsner, T. & Frøkiær, J. (2016). Unilateral ureteral obstruction induces DNA repair by APE1. American Journal of Physiology: Renal Physiology, 310(8), F763-F776. https://doi.org/10.1152/ajprenal.00613.2014

Nielsen, M. M., Andersen, K. K., Westh, P. & Otzen, D. (2007). Unfolding of ß-sheet proteins in SDS. Biophysical Journal, (92), 3674-3685.

Rasmussen, H. Ø., Enghild, J. J., Otzen, D. E. & Pedersen, J. S. (2020). Unfolding and partial refolding of a cellulase from the SDS-denatured state: From β-sheet to α-helix and back. B B A - General Subjects, 1864(1), 129434 1-12. Artikel 129434. https://doi.org/10.1016/j.bbagen.2019.129434

Mlynek, G., Sjöblom, B., Kostan, J., Füreder, S., Maixner, F., Gysel, K., Maixner, F., Obinger, C., Wagner, M., Daims, H. & Djinović-Carugo, K. (2011). Unexpected diversity of chlorite dismutases - a catalytically efficient dimeric enzyme from Nitrobacter winogradskyi. Journal of Bacteriology, 193(10), 2408-2417. https://doi.org/10.1128/JB.01262-10

Bechsgaard, J., Bataillon, T. & Schierup, M. H. (2004). Uneven segregation of sporophytic self-incompatibility alleles in Arabidopsis lyrata. J. Evol. Biol., 17, 554-561.

Bechsgaard, J., Bataillon, T. & Schierup, M. H. (2004). Uneven segregation of sporophytic self-incompatibility alleles in arabidopsis lyrata. Journal of Evolutionary Biology, 17(3), 554-561.

Krönauer, C. & Radutoiu, S. (2021). Understanding Nod factor signalling paves the way for targeted engineering in legumes and non-legumes. Current Opinion in Plant Biology, 62, Artikel 102026. https://doi.org/10.1016/j.pbi.2021.102026

Rattan, S. & Clark, B. F. C. (2005). Understanding and modulating ageing. IUBMB Life, 57, 297-304.

Meisl, G., Xu, C. K., Taylor, J. D., Michaels, T. C. T., Levin, A., Otzen, D., Klenerman, D., Matthews, S., Linse, S., Andreasen, M. & Knowles, T. P. J. (2022). Uncovering the universality of self-replication in protein aggregation and its link to disease. Science Advances, 8(32), Artikel eabn6831. https://doi.org/10.1126/sciadv.abn6831

Andersen, J. S., Vijayakumaran, A., Godbehere, C., Lorentzen, E., Mennella, V. & Schou, K. B. (2024). Uncovering structural themes across cilia microtubule inner proteins with implications for human cilia function. Nature Communications, 15(1), Artikel 2687. https://doi.org/10.1038/s41467-024-46737-3

Dyrlund, T. F., Kirkegaard, K., Poulsen, E. T., Sanggaard, K. W., Hindkjær, J. J., Kjems, J., Enghild, J. J. & Ingerslev, H. J. (2014). Unconditioned commercial embryo culture media contain a large variety of non-declared proteins: a comprehensive proteomics analysis. Human Reproduction, 29(1), 2421-2430. https://doi.org/10.1093/humrep/deu220

Jørgensen, A. G., Dupont, D. M., Fjelstrup, S., Bus, C., Hansen, C. B., Benfield, T., Garred, P., Heegaard, P. M. H. & Kjems, J. (2024). Unbiased plasma profiling using pre-selected RNA aptamer pools predicts mortality in COVID-19 and identifies protein risk factors. Molecular Therapy Nucleic Acids, 35(3), Artikel 102253. https://doi.org/10.1016/j.omtn.2024.102253

Verzelli, P., Nold, A., Sun, C., Heilemann, M., Schuman, E. M. & Tchumatchenko, T. (2022). Unbiased choice of global clustering parameters for single-molecule localization microscopy. Scientific Reports, 12(1), 22561. Artikel 22561. https://doi.org/10.1038/s41598-022-27074-1

Yang, C., Thomsen, R. P., Ogaki, R., Kjems, J. & Mian Teo, B. (2015). Ultrastable green fluorescence carbon dots with a high quantum yield for bioimaging and use as theranostic carriers. Journal of Materials Chemistry B, 3(4577), 4577-4584. https://doi.org/10.1039/C5TB00467E

Wittenborn, T., Nielsen, T., Nygaard, J. V., Larsen, E. K. U., Thim, T., Rydtoft, L. M., Vorup-Jensen, T., Kjems, J., Nielsen, N. C., Horsman, M. R. & Falk, E. (2012). Ultra-High-Field DCE-MRI of Angiogenesis in a Novel Angiogenesis Mouse Model. Journal of Magnetic Resonance Imaging, 35(3), 703-710. https://doi.org/10.1002/jmri.22855

Mortensen, H. G., Otzen, D. E. & Pedersen, J. S. (2021). Ubiquitin forms conventional decorated micelle structures with sodium dodecyl sulfate at saturation. Journal of Colloid and Interface Science, 596, 233-244. https://doi.org/10.1016/j.jcis.2021.03.110

Zhou, Z., Hamming, O. J., Ank, N., Paludan, S. R., Nielsen, A. L., Hartmann, R. & Nielsen, A. L. (2007). Type III interferon (IFN) induces a type I IFN-like response in a restricted subset of cells through signaling pathways involving both the Jak-STAT pathway and the mitogen-activated protein kinases. Journal of Virology, 81(14), 7749-7758. https://doi.org/10.1128/JVI.02438-06

Flygaard, R. K., Mühleip, A., Tobiasson, V. & Amunts, A. (2020). Type III ATP synthase is a symmetry-deviated dimer that induces membrane curvature through tetramerization. Nature Communications, 11, Artikel 5342. https://doi.org/10.1038/s41467-020-18993-6

Hansen, S. G., Frøhlich, R. F. & Knudsen, B. R. (2003). Type IB topoisomerases and tyrosine recombinases - distinct functions within related structural frameworks. Current Topics in Biochem. Res., 5, 149-159.

Borre-Gude, S., Frøhlich, R. F. & Knudsen, B. R. (2013). Type IB topoisomerases and tyrosine recombinases - distinct functions within related structural frameworks. Current Topics in Biochem. Res., 5, 149-159.

Ye, L., Ohnemus, A., Ong, L. C., Gad, H. H., Hartmann, R., Lycke, N. & Staeheli, P. (2019). Type I and type III interferons differ in their adjuvant activities for influenza vaccines. Journal of Virology, 93(23), Artikel e01262-19. https://doi.org/10.1128/JVI.01262-19

Major, J., Crotta, S., Llorian, M., McCabe, T. M., Gad, H. H., Priestnall, S. L., Hartmann, R. & Wack, A. (2020). Type I and III interferons disrupt lung epithelial repair during recovery from viral infection. Science (New York, N.Y.), 369(6504), 712-717. https://doi.org/10.1126/science.abc2061

Munch, M., Heegaard, C. W., Jensen, P. H. & Andreasen, P. (1991). Type‑1 inhibitor of plasminogen activators. Distinction between latent, activated and reactive center‑cleaved forms with thermal stability and monoclonal antibodies. FEBS Letters, 295, 102-106.

Monti, M., Milanetti, E., Frans, M. T., Miotto, M., Di Rienzo, L., Baranov, M. V., Gosti, G., Somavarapu, A. K., Nagaraj, M., Golbek, T. W., Rossing, E., Moons, S. J., Boltje, T. J., van den Bogaart, G., Weidner, T., Otzen, D. E., Tartaglia, G. G., Ruocco, G. & Roeters, S. J. (2024). Two Receptor Binding Strategy of SARS-CoV-2 Is Mediated by Both the N-Terminal and Receptor-Binding Spike Domain. The journal of physical chemistry. B, 128(2), 451-464. https://doi.org/10.1021/acs.jpcb.3c06258

Bange, G., Brodersen, D. E., Liuzzi, A. & Steinchen, W. (2021). Two P or Not Two P: Understanding Regulation by the Bacterial Second Messengers (p)ppGpp. Annual Review of Microbiology, 75, 383-406. https://doi.org/10.1146/annurev-micro-042621-122343

De Luis, A., Markmann, K., Cognat, V., Holt, D. B., Charpentier, M., Parniske, M., Stougaard, J. & Voinnet, O. (2012). Two MicroRNAs Linked to Nodule Infection and Nitrogen-Fixing Ability in the Legume Lotus japonicus. Plant Physiology, 160(4), 2137-2154. https://doi.org/10.1104/pp.112.204883

Bøttger, P. & Pedersen, L. (2002). Two highly conserved glutamate residues critical for type III sodium-dependent phosphate transport revealed by uncoupling transport function from retroviral receptor function. Journal of Biological Chemistry, 227, 42721-42747.

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Lisbeth Heilesen