Abteilung Nutriinformatik

Publikationen

Preprints

  • Schönborn JW, Stewart FA, Maas-Enriquez K, Akhtar I, Droste A, Waschina S, et al.
    Genome-Scale Metabolic Modelling of the Drosophila Melanogaster Gut Microbial Community Uncovers Growth Promoting Metabolite Exchange.
    SSRN Journal. 2021/. doi:10.2139/ssrn.3802031.
  • Giri S, Oña L, Waschina S, Shitut S, Yousif G, Kaleta C, et al.
    Metabolic dissimilarity determines the establishment of cross-feeding interactions in bacteria.
    bioRxiv. 2020/. doi:10.1101/2020.10.09.333336.

 

2021

  • Zimmermann J, Kaleta C, Waschina S.
    gapseq: informed prediction of bacterial metabolic pathways and reconstruction of accurate metabolic models.
    Genome Biol. 2021/;22. doi:10.1186/s13059-021-02295-1.
  • Schilf P, Künstner A, Olbrich M, Waschina S, Fuchs B, Galuska CE, et al.
    A Mitochondrial Polymorphism Alters Immune Cell Metabolism and Protects Mice from Skin Inflammation.
    IJMS. 2021/;22:1006. doi:10.3390/ijms22031006.
  • Effenberger M, Reider S, Waschina S, Bronowski C, Enrich B, Adolph TE, et al.
    Microbial Butyrate Synthesis Indicates Therapeutic Efficacy of Azathioprine in IBD Patients.
    Journal of Crohn’s and Colitis. 2020/;15:88–98. doi:10.1093/ecco-jcc/jjaa152.

 

2020

  • Bhat J, Bergmann AK, Waschina S, Nerl C, Kaleta C, Siebert R, et al.
    DNA methylation profile of a hepatosplenic gamma/delta T-cell lymphoma patient associated with response to interferon-α therapy.
    Cell Mol Immunol. 2020/;18:1332–5. doi:10.1038/s41423-020-0518-4.
  • Demetrowitsch TJ, Schlicht K, Knappe C, Zimmermann J, Jensen-Kroll J, Pisarevskaja A, et al.
    Precision Nutrition in Chronic Inflammation.
    Front Immunol. 2020/;11. doi:10.3389/fimmu.2020.587895.
  • Marinos G, Kaleta C, Waschina S.
    Defining the nutritional input for genome-scale metabolic models: A roadmap.
    PLoS ONE. 2020/;15:e0236890. doi:10.1371/journal.pone.0236890.
  • Pagel J, Twisselmann N, Rausch TK, Waschina S, Hartz A, Steinbeis M, et al.
    Increased Regulatory T Cells Precede the Development of Bronchopulmonary Dysplasia in Preterm Infants.
    Front Immunol. 2020/;11. doi:10.3389/fimmu.2020.565257.

 

2019

  • Yang W, Petersen C, Pees B, Zimmermann J, Waschina S, Dirksen P, et al.
    The Inducible Response of the Nematode Caenorhabditis elegans to Members of Its Natural Microbiota Across Development and Adult Life.
    Front Microbiol. 2019/;10. doi:10.3389/fmicb.2019.01793.
  • Giri S, Waschina S, Kaleta C, Kost C.
    Defining Division of Labor in Microbial Communities.
    Journal of Molecular Biology. 2019/;431:4712–31. doi:10.1016/j.jmb.2019.06.023.
  • Aden K, Rehman A, Waschina S, Pan W-H, Walker A, Lucio M, et al.
    Metabolic Functions of Gut Microbes Associate With Efficacy of Tumor Necrosis Factor Antagonists in Patients With Inflammatory Bowel Diseases.
    Gastroenterology. 2019/;157:1279-1292.e11. doi:10.1053/j.gastro.2019.07.025.
  • Pryor R, Norvaisas P, Marinos G, Best L, Thingholm LB, Quintaneiro LM, et al.
    Host-Microbe-Drug-Nutrient Screen Identifies Bacterial Effectors of Metformin Therapy.
    Cell. 2019/;178:1299-1312.e29. doi:10.1016/j.cell.2019.08.003.
  • Zimmermann J, Obeng N, Yang W, Pees B, Petersen C, Waschina S, et al.
    The functional repertoire contained within the native microbiota of the model nematode Caenorhabditis elegans.
    ISME J. 2019/;14:26–38. doi:10.1038/s41396-019-0504-y.
  • Graspeuntner S, Waschina S, Künzel S, Twisselmann N, Rausch TK, Cloppenborg-Schmidt K, et al.
    Gut Dysbiosis With Bacilli Dominance and Accumulation of Fermentation Products Precedes Late-onset Sepsis in Preterm Infants.
    Clinical Infectious Diseases. 2018/;69:268–77. doi:10.1093/cid/ciy882.

 

2018

  • D’Souza G, Shitut S, Preussger D, Yousif G, Waschina S, Kost C.
    Ecology and evolution of metabolic cross-feeding interactions in bacteria.
    Nat Prod Rep. 2018/;35:455–88. doi:10.1039/c8np00009c.

 

2016

  • Waschina S, D’Souza G, Kost C, Kaleta C.
    Metabolic network architecture and carbon source determine metabolite production costs.
    FEBS J. 2016/;283:2149–63. doi:10.1111/febs.13727.
  • Gebauer J, Gentsch C, Mansfeld J, Schmeißer K, Waschina S, Brandes S, et al.
    A Genome-Scale Database and Reconstruction of Caenorhabditis elegans Metabolism.
    Cell Systems. 2016/;2:312–22. doi:10.1016/j.cels.2016.04.017.

 

2015

  • D’Souza G, Waschina S, Kaleta C, Kost C.
    Plasticity and epistasis strongly affect bacterial fitness after losing multiple metabolic genes.
    Evolution. 2015/;69:1244–54. doi:10.1111/evo.12640.
  • Schmidt R, Waschina S, Boettger-Schmidt D, Kost C, Kaleta C.
    Computing autocatalytic sets to unravel inconsistencies in metabolic network reconstructions.
    Bioinformatics. 2014/;31:373–81. doi:10.1093/bioinformatics/btu658.

 

2014

  • D’Souza G, Waschina S, Pande S, Bohl K, Kaleta C, Kost C.
    LESS IS MORE: SELECTIVE ADVANTAGES CAN EXPLAIN THE PREVALENT LOSS OF BIOSYNTHETIC GENES IN BACTERIA.
    Evolution. 2014/;68:2559–70. doi:10.1111/evo.12468.