Results 41 to 50 of about 151 (78)
Occurrence and clinical correlates of SARS-CoV-2 viremia in two German patient cohorts. [PDF]
Emerg Microbes InfectGrikscheit K, Berger A, Rabenau H, Kohmer N, Appel KS, Scherer M, Bals R, Blaschke S, Hamprecht A, Hopff SM, Krefting D, Meybohm P, Nürnberger C, Heuschmann P, Pley C, Nunes de Miranda SM, Dahl E, Jensen B, Illig T, Anton G, Vehreschild JJ, Ciesek S. +21 moreeuropepmc +1 more sourceComplete genome sequence of Planctomyces brasiliensis type strain (DSM 5305(T)), phylogenomic analysis and reclassification of Planctomycetes including the descriptions of Gimesia gen. nov., Planctopirus gen. nov. and Rubinisphaera gen. nov. and emended descriptions of the order Planctomycetales and the family Planctomycetaceae. [PDF]
Stand Genomic Sci, 2014 Scheuner C, Tindall BJ, Lu M, Nolan M, Lapidus A, Cheng JF, Goodwin L, Pitluck S, Huntemann M, Liolios K, Pagani I, Mavromatis K, Ivanova N, Pati A, Chen A, Palaniappan K, Jeffries CD, Hauser L, Land M, Mwirichia R, Rohde M, Abt B, Detter JC, Woyke T, Eisen JA, Markowitz V, Hugenholtz P, Göker M, Kyrpides NC, Klenk HP. +29 moreeuropepmc +1 more sourceTissue origin of endothelial cells determines immune system modulation and regulation of HIF-1α-, TGF-β-, and VEGF signaling. [PDF]
iScienceHeiden R, Hannig L, Bernhard JS, Vallon M, Schlecht A, Hofmann N, Ergün S, Hoschek F, Wagner M, Neueder A, Förster CY, Braunger BM. +11 moreeuropepmc +1 more sourceLacipirellula parvula gen. nov., sp. nov., representing a lineage of planctomycetes widespread in low-oxygen habitats, description of the family Lacipirellulaceae fam. nov. and proposal of the orders Pirellulales ord. nov., Gemmatales ord. nov. and Isosphaerales ord. nov.
Syst Appl Microbiol, 2020 Dedysh SN, Kulichevskaya IS, Beletsky AV, Ivanova AA, Rijpstra WIC, Damsté JSS, Mardanov AV, Ravin NV. +7 moreeuropepmc +1 more sourceComparison of post-COVID-19 symptoms in patients infected with the SARS-CoV-2 variants delta and omicron-results of the Cross-Sectoral Platform of the German National Pandemic Cohort Network (NAPKON-SUEP). [PDF]
InfectionPütz SM, Appel KS, Miljukov O, Schneider J, Addo MM, Bals R, Bercker S, Blaschke S, Bröhl I, Büchner N, Dashti H, Erber J, Friedrichs A, Geisler R, Göpel S, Hagen M, Hanses F, Jensen BO, Keul M, Krawczyk A, Lorenz-Depiereux B, Meybohm P, Milovanovic M, Mitrov L, Nürnberger C, Obst W, Römmele C, Schäfer C, Scheer C, Scherer M, Schmidt J, Seibel K, Sikdar S, Tebbe JJ, Tepasse PR, Thelen P, Vehreschild MJGT, Weismantel C, Vehreschild JJ. +38 moreeuropepmc +1 more sourceDevelopment of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality. [PDF]
Nat CommunDevaux Y, Zhang L, Lumley AI, Karaduzovic-Hadziabdic K, Mooser V, Rousseau S, Shoaib M, Satagopam V, Adilovic M, Srivastava PK, Emanueli C, Martelli F, Greco S, Badimon L, Padro T, Lustrek M, Scholz M, Rosolowski M, Jordan M, Brandenburger T, Benczik B, Agg B, Ferdinandy P, Vehreschild JJ, Lorenz-Depiereux B, Dörr M, Witzke O, Sanchez G, Kul S, Baker AH, Fagherazzi G, Ollert M, Wereski R, Mills NL, Firat H. +34 moreeuropepmc +1 more sourceDNA methylome analysis in Burkitt and follicular lymphomas identifies differentially methylated regions linked to somatic mutation and transcriptional control. [PDF]
Nat Genet, 2015 Kretzmer H, Bernhart SH, Wang W, Haake A, Weniger MA, Bergmann AK, Betts MJ, Carrillo-de-Santa-Pau E, Doose G, Gutwein J, Richter J, Hovestadt V, Huang B, Rico D, Jühling F, Kolarova J, Lu Q, Otto C, Wagener R, Arnolds J, Burkhardt B, Claviez A, Drexler HG, Eberth S, Eils R, Flicek P, Haas S, Humme M, Karsch D, Kerstens HHD, Klapper W, Kreuz M, Lawerenz C, Lenzek D, Loeffler M, López C, MacLeod RAF, Martens JHA, Kulis M, Martín-Subero JI, Möller P, Nage I, Picelli S, Vater I, Rohde M, Rosenstiel P, Rosolowski M, Russell RB, Russell RB, Schilhabel M, Schlesner M, Stadler PF, Szczepanowski M, Trümper L, Stunnenberg HG, Küppers R, Ammerpohl O, Lichter P, Siebert R, Hoffmann S, Radlwimmer B. +60 moreeuropepmc +1 more source
