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Seneste peer-review'ede publikationer ved MBG

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Peer-review'ede publikationer ved MBG - alle år

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Salavati, M. & GplusE Consortium (2017). Exploratory classification of multiparous dairy cows based on fertility related phenotypes. I Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science (s. 402-402). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-859-9
Oliveira Junior, G. A., Perez, B. C., Cole, J. B., Santana, M. H. A., Silveira, J., Mazzoni, G., Ventura, R. V., Santana Junior, M. L., Kadarmideen, H., Garrick, D. J. & Ferraz, J. B. S. (2017). Genomic study and Medical Subject Headings enrichment analysis of early pregnancy rate and antral follicle numbers in Nelore heifers. Journal of Animal Science, 95(11), 4796-4812. https://doi.org/10.2527/jas2017.1752
Bendtsen, K. L. & Brodersen, D. E. (2017). Higher-Order Structure in Bacterial VapBC Toxin-Antitoxin Complexes. I Macromolecular Protein Complexes. Subcellular Biochemistry (s. 381-412). Springer. https://doi.org/10.1007/978-3-319-46503-6_14
Rattan, S. & Sharma, R. (red.) (2017). Hormones in Ageing and Longevity. (1 udg.) Springer Science+Business Media. Healthy Ageing and Longevity Bind 6
Binder, V., Bergum, B., Jaisson, S., Gillery, P., Scavenius, C., Spriet, E., Nyhaug, A. K., Roberts, H. M., Chapple, I. L. C., Hellvard, A., Delaleu, N. & Mydel, P. (2017). Impact of fibrinogen carbamylation on fibrin clot formation and stability. Thrombosis and Haemostasis, 117(5), 899-910. https://doi.org/10.1160/TH16-09-0704
Nielsen, K. H. & Andersen, E. S. (2017). Incentives for responsible data management: The case of Labbook, an electronic laboratory notebook system. Poster-session præsenteret på 5th World Conference on Research Integrity, Amsterdam, Holland.
Salavati, M. & GplusE Consortium (2017). Investigating metabolic phenotypes in multiparous dairy cows by component analysis and clustering. 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
Fay, F., Hansen, L., Hectors, S. J. C. G., Sanchez-Gaytan, B. L., Zhao, Y., Tang, B.-J., Munitz, J., Alaarg, A., Braza, M. S., Gianella, A., Aaronson, S. A., Reiner, T., Kjems, J., Langer, R., Hoeben, F. J. M., Janssen, H. M., Calcagno, C., Strijkers, G. J., Fayad, Z. A. ... Mulder, W. J. M. (2017). Investigating the Cellular Specificity in Tumors of a Surface-Converting Nanoparticle by Multimodal Imaging. Bioconjugate Chemistry, 28(5), 1413-1421. https://doi.org/10.1021/acs.bioconjchem.7b00086
Mazzoni, G., Razza, E., Pedersen, H. S., Secher, J., Kadarmideen, H., Callesen, H., Stroebech, L., Freude, K. & Hyttel, P. (2017). In vitro production of bovine embryos: cumulus/granulosa cell gene expression patterns point to early atresia as beneficial for oocyte competence. I Proceedings of the 31th Annual Meeting of the Brazilian Embryo Technology Society (SBTE) (Bind 14, s. 482-489) https://doi.org/10.21451/1984-3143-AR990
Rattan, S. (2017). Nanotechnology in Anti-Aging: Nutraceutical Delivery and Related Applications. I A. Vaiserman (red.), Anti-aging Drugs: From Basic Research to Clinical Practice (57 udg., s. 170-180). Royal Society of Chemistry. https://doi.org/10.1039/9781782626602-00142
Grelet, C., Vanlierde, A., Dehareng, F., Froidmont, E. & GplusE Consortium (2017). Prediction of energy status of dairy cows using MIR milk spectra. I Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science (Bind 23, s. 403-403). Wageningen Academic Publishers.
Larsen, S. C., Leutert, M., Bilan, V., Martello, R., Jungmichel, S., Young, C., Hottiger, M. O. & Nielsen, M. L. (2017). Proteome-Wide Identification of In Vivo ADP-Ribose Acceptor Sites by Liquid Chromatography-Tandem Mass Spectrometry. I A. V. Tulin (red.), Poly(ADP-Ribose) Polymerase (Bind 1608, s. 149-162). Humana Press. https://doi.org/10.1007/978-1-4939-6993-7_11
Foldager, L. & GplusE Consortium (2017). Random forests prediction of blood metabolic clusters by milk metabolites and enzymes in dairy cows. I Book of Abstracts of the 68th Annual Meeting of the European Federation of Animal Science (s. 402-402). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-859-9
Lyons, J. A., Bøggild, A., Nissen, P. & Frauenfeld, J. (2017). Saposin-Lipoprotein Scaffolds for Structure Determination of Membrane Transporters. I C. Ziegler (red.), Methods in Enzymology: A Structure-Function Toolbox for Membrane Transporter and Channels (Bind 594, s. 85-99). Academic Press. https://doi.org/10.1016/bs.mie.2017.06.035
Secher, J. O., Ceylan, A., Mazzoni, G., Mashayekhi, K., Li, T., Muenthaisong, S., Nielsen, T. T., Li, D., Li, S., Petkov, S., Cirera, S., Luo, Y., Thombs, L., Kadarmideen, H. N., Dinnyes, A., Bolund, L., Roelen, B. A. J., Schmidt, M., Callesen, H. ... Freude, K. K. (2017). Systematic in vitro and in vivo characterization of Leukemia-inhibiting factor- and Fibroblast growth factor-derived porcine induced pluripotent stem cells. Molecular Reproduction and Development, 84(3), 229-245. https://doi.org/10.1002/mrd.22771
Kisiswa, L., Erice, C., Ferron, L., Wyatt, S., Osório, C., Dolphin, A. C. & Davies, A. M. (2017). T-type Ca2+ channels are required for enhanced sympathetic axon growth by TNFα reverse signalling. Open Biology, 7(1), Artikel 160288. https://doi.org/10.1098/rsob.160288
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
Damas, N. D., Marcatti, M., Côme, C., Christensen, L. L., Nielsen, M. M., Baumgartner, R., Gylling, H. M., Maglieri, G., Rundsten, C. F., Seemann, S. E., Rapin, N., Thézenas, S., Vang, S., Ørntoft, T., Andersen, C. L., Pedersen, J. S. & Lund, A. H. (2016). SNHG5 promotes colorectal cancer cell survival by counteracting STAU1-mediated mRNA destabilization. Nature Communications, 7, 13875. Artikel 13875. https://doi.org/10.1038/ncomms13875
Zgadzaj, R., Garrido-Oter, R., Jensen, D. B., Koprivova, A., Schulze-Lefert, P. & Radutoiu, S. (2016). Root nodule symbiosis in Lotus japonicus drives the establishment of distinctive rhizosphere, root, and nodule bacterial communities. Proceedings of the National Academy of Sciences (PNAS), 113(49), E7996-E8005. https://doi.org/10.1073/pnas.1616564113
Hanghøj, K., Seguin, A., Schubert, M., Madsen, T., Pedersen, J. S., Willerslev, E. & Orlando, L. (2016). Fast, accurate and automatic ancient nucleosome and methylation maps with epiPALEOMIX. Molecular Biology and Evolution, 33(12), 3284-3298. https://doi.org/10.1093/molbev/msw184
Henshall, D. C., Hamer, H. M., Pasterkamp, R. J., Goldstein, D. B., Kjems, J., Prehn, J. H. M., Schorge, S., Lamottke, K. & Rosenow, F. (2016). MicroRNAs in epilepsy: pathophysiology and clinical utility. Lancet Neurology, 15(13), 1368-1376. https://doi.org/10.1016/S1474-4422(16)30246-0
Acosta-Jurado, S., Rodríguez-Navarro, D. N., Kawaharada, Y., Perea, J. F., Gil-Serrano, A., Jin, H., An, Q., Rodríguez-Carvajal, M. A., Andersen, S. U., Sandal, N., Stougaard, J., Vinardell, J. M. & Ruiz-Sainz, J. E. (2016). Sinorhizobium fredii HH103 invades lotus burttii by crack entry in a nod factor-and surface polysaccharide-dependent manner. Molecular plant-microbe interactions, 29(12), 925-937. https://doi.org/10.1094/MPMI-09-16-0195-R