Christiane Fuchs

Christiane Fuchs

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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 May 2015 in EMBO Reports
Verified
Journal Article
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DSDennis Sadic
Dennis Sadic
KSKatharina Schmidt
Katharina Schmidt
SGSophia Groh
Sophia Groh
IKIvan Kondofersky
Ivan Kondofersky
JEJoachim Ellwart
Joachim Ellwart
GSGunnar Schotta
Gunnar Schotta
More than 50% of mammalian genomes consist of retrotransposon sequences. Silencing of retrotransposons by heterochromatin is essential to ensure genomic stability and transcriptional integrity. Here, we identified a short sequence element in intracisternal A particle (IAP) retrotransposons that is sufficient to trigger heterochromatin formation. We used this sequence in a genome‐wide shRNA screen and identified the chromatin remodeler Atrx as a novel regulator of IAP silencing. Atrx binds to IAP elements and is necessary for efficient heterochromatin formation. In addition, Atrx facilitates a robust and largely inaccessible heterochromatin structure as Atrx knockout cells display increased chromatin accessibility at retrotransposons and non‐repetitive heterochromatic loci. In summary, we demonstrate a direct role of Atrx in the establishment and robust maintenance of heterochromatin. ![][1] Atrx contributes to retrotransposon silencing in ES cells by promoting inaccessible heterochromatin formation. The data also suggest that retrotransposon silencing requires the histone chaperone Daxx but is independent of histone H3.3. EMBO Reports (2015) 16: 836–850 [1]: pending:yes

1 January 2017 in The Lancet Oncology
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Journal Article
Closed access
JGJustin Guinney
Justin Guinney
TWTao Wang
Tao Wang
TLTeemu D Laajala
Teemu D Laajala
KWKimberly Kanigel Winner
Kimberly Kanigel Winner
JBJ Christopher Bare
J Christopher Bare
YZYuxin Zhu
Yuxin Zhu

1 January 2013
Verified
Book
Closed access
CFChristiane Fuchs
Christiane Fuchs

27 March 2013 in Nucleic Acids Research
Verified
Journal Article
Open access
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KSKatrin Schneider
Katrin Schneider
CFChristiane Fuchs
Christiane Fuchs
ADAkos Dobay
Akos Dobay
ARAndrea Rottach
Andrea Rottach
WQWeihua Qin
Weihua Qin
LSLothar Schermelleh
Lothar Schermelleh
DNA methyltransferase 1 (Dnmt1) reestablishes methylation of hemimethylated CpG sites generated during DNA replication in mammalian cells. Two subdomains, the proliferating cell nuclear antigen (PCNA)-binding domain (PBD) and the targeting sequence (TS) domain, target Dnmt1 to the replication sites in S phase. We aimed to dissect the details of the cell cycle–dependent coordinated activity of both domains. To that end, we combined super-resolution 3D-structured illumination microscopy and fluorescence recovery after photobleaching (FRAP) experiments of GFP-Dnmt1 wild type and mutant constructs in somatic mouse cells. To interpret the differences in FRAP kinetics, we refined existing data analysis and modeling approaches to (i) account for the heterogeneous and variable distribution of Dnmt1-binding sites in different cell cycle stages; (ii) allow diffusion-coupled dynamics; (iii) accommodate multiple binding classes. We find that transient PBD-dependent interaction directly at replication sites is the predominant specific interaction in early S phase (residence time T res ≤10 s). In late S phase, this binding class is taken over by a substantially stronger (T res ∼22 s) TS domain-dependent interaction at PCNA-enriched replication sites and at nearby pericentromeric heterochromatin subregions. We propose a two-loading-platform-model of additional PCNA-independent loading at postreplicative, heterochromatic Dnmt1 target sites to ensure faithful maintenance of densely methylated genomic regions.

MPMichael Pritsch
Michael Pritsch
KRKatja Radon
Katja Radon
ABAbhishek Bakuli
Abhishek Bakuli
RGRonan Le Gleut
Ronan Le Gleut
LOLaura Olbrich
Laura Olbrich
OGon behalf of the KoCo19 study group
on behalf of the KoCo19 study group
Given the large number of mild or asymptomatic SARS-CoV-2 cases, only population-based studies can provide reliable estimates of the magnitude of the pandemic. We therefore aimed to assess the sero-prevalence of SARS-CoV-2 in the Munich general population after the first wave of the pandemic. For this purpose, we drew a representative sample of 2994 private households and invited household members 14 years and older to complete questionnaires and to provide blood samples. SARS-CoV-2 seropositivity was defined as Roche N pan-Ig ≥ 0.4218. We adjusted the prevalence for the sampling design, sensitivity, and specificity. We investigated risk factors for SARS-CoV-2 seropositivity and geospatial transmission patterns by generalized linear mixed models and permutation tests. Seropositivity for SARS-CoV-2-specific antibodies was 1.82% (95% confidence interval (CI) 1.28–2.37%) as compared to 0.46% PCR-positive cases officially registered in Munich. Loss of the sense of smell or taste was associated with seropositivity (odds ratio (OR) 47.4; 95% CI 7.2–307.0) and infections clustered within households. By this first population-based study on SARS-CoV-2 prevalence in a large German municipality not affected by a superspreading event, we could show that at least one in four cases in private households was reported and known to the health authorities. These results will help authorities to estimate the true burden of disease in the population and to take evidence-based decisions on public health measures.

20 July 2013 in Metabolomics
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Journal Article
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EAEva Albrecht
Eva Albrecht
MWMelanie Waldenberger
Melanie Waldenberger
JKJan Krumsiek
Jan Krumsiek
AEAnne M. Evans
Anne M. Evans
UJUlli Jeratsch
Ulli Jeratsch
CMChrista Meisinger
Christa Meisinger
Serum urate, the final breakdown product of purine metabolism, is causally involved in the pathogenesis of gout, and implicated in cardiovascular disease and type 2 diabetes. Serum urate levels highly differ between men and women; however the underlying biological processes in its regulation are still not completely understood and are assumed to result from a complex interplay between genetic, environmental and lifestyle factors. In order to describe the metabolic vicinity of serum urate, we analyzed 355 metabolites in 1,764 individuals of the population-based KORA F4 study and constructed a metabolite network around serum urate using Gaussian Graphical Modeling in a hypothesis-free approach. We subsequently investigated the effect of sex and urate lowering medication on all 38 metabolites assigned to the network. Within the resulting network three main clusters could be detected around urate, including the well-known pathway of purine metabolism, as well as several dipeptides, a group of essential amino acids, and a group of steroids. Of the 38 assigned metabolites, 25 showed strong differences between sexes. Association with uricostatic medication intake was not only confined to purine metabolism but seen for seven metabolites within the network. Our findings highlight pathways that are important in the regulation of serum urate and suggest that dipeptides, amino acids, and steroid hormones are playing a role in its regulation. The findings might have an impact on the development of specific targets in the treatment and prevention of hyperuricemia.