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Monica Steffi Matchado

As seen in: BioRxiv, Cell Reports Medicine, Microbiology Research
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Articles

Endoscopic healing in pediatric IBD perpetuates a persistent signature defined by Th17 cells with molecular and microbial drivers of disease

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By Nikolai Köhler, Sebastian Jarosch, Monica Steffi Matchado, Eberhard Lurz, Sibylle Koletzko, Josch K. Pauling, Katja Steiger, Klaus Neuhaus, Caspar Ohnmacht, Markus List, Dirk H. Busch, Dirk Haller, Tobias Schwerd, Kolja Siebert, Tim Faro, Hannes Hölz, Deborah Häcker, Federica De Zen, Mohammad Samer Hajji
| Cell Reports Medicine Verified
Keywords pediatric IBD endoscopic healing single cell bulk RNA mucosal 16S rRNA TH17 IBD signature SAA2 DUOX2 NOS2 Introduction Inflammatory bowel diseases (IBDs) are chronic, lifelong disorders of the gastrointestinal tract caused by dysregulated interactions among the host, the intestinal microbiome, and further environmental factors.1,2 The disease is mainly classified in one of its two major forms, Crohn’s disease (CD) or ulcerative colitis (UC).
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On the limits of 16S rRNA gene-based metagenome prediction and functional profiling

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By Monica Steffi Matchado, Malte C. Rühlemann, Sandra Reitmeier, Tim Kacprowski
| Microbiology Research
Article metrics loading... /content/journal/mgen/10.1099/mgen.0.001203 Download as PowerPoint /deliver/fulltext/mgen/10/2/mgen001203.html?itemId=/content/journal/mgen/10.1099/mgen.0.001203&mimeType=html&fmt=ahah References Malla MA, Dubey A, Kumar A, Yadav S, Hashem A et al. Exploring the human microbiome: the potential future role of next-generation sequencing in disease diagnosis and treatment. Front Immunol 2018; 9:2868 [View Article] [PubMed] [Google Scholar] Do T, Dame-Teixeira N, Deng D.
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On the limits of 16S rRNA gene-based metagenome prediction and functional profiling

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By Monica Steffi Matchado, Malte Christoph Rühlemann, Tim Kacprowski, Sandra Reimeiter
| BioRxiv
Abstract Molecular profiling techniques such as metagenomics, metatranscriptomics or metabolomics offer important insights into the functional diversity of the microbiome. In contrast, 16S rRNA gene sequencing, a widespread and cost-effective technique to measure microbial diversity, only allows for indirect estimation of microbial function. To mitigate this, tools such as PICRUSt2, Tax4Fun2, PanFP and MetGEM infer functional profiles from 16S rRNA gene sequencing data using different algorithms.
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