Carsten Raabe

Carsten Raabe


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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29 September 2020 in Cells
Verified
Journal Article
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DMDingding Mo
Dingding Mo
XLXinping Li
Xinping Li
CRCarsten Raabe
Carsten Raabe
Timofey S. RozhdestvenskyTimofey S. Rozhdestvensky
Timofey S. Rozhdestvensky
BSBoris V. Skryabin
Boris V. Skryabin
JBJuergen Brosius
Juergen Brosius
Alzheimer’s disease (AD) is an age-related detrimental dementia. Amyloid beta peptides (Aβ) play a crucial role in the pathology of AD. In familial AD, Aβ are generated from the full-length amyloid beta precursor protein (APP) via dysregulated proteolytic processing; however, in the case of sporadic AD, the mechanism of Aβ biogenesis remains elusive. circRNAs are a class of transcripts preferentially expressed in brain. We identified a circRNA harboring the Aβ-coding region of the APP gene termed circAβ-a. This circular RNA was detected in the brains of AD patients and non-dementia controls. With the aid of our recently established approach for analysis of circRNA functions, we demonstrated that circAβ-a is efficiently translated into a novel Aβ-containing Aβ175 polypeptide (19.2 KDa) in both cultured cells and human brain. Furthermore, Aβ175 was shown to be processed into Aβ peptides—a hallmark of AD. In summary, our analysis revealed an alternative pathway of Aβ biogenesis. Consequently, circAβ-a and its corresponding translation product could potentially represent novel therapeutic targets for AD treatment. Importantly, our data point to yet another evolutionary route for potentially increasing proteome complexity by generating additional polypeptide variants using back-splicing of primary transcripts that yield circular RNA templates.

Verified
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Open access
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Thomas GrewalThomas Grewal
Thomas Grewal
CRCarles Rentero
Carles Rentero
CECarlos Enrich
Carlos Enrich
MWMohamed Wahba
Mohamed Wahba
CRCarsten Raabe
Carsten Raabe
URUrsula Rescher
Ursula Rescher
Routine manipulation of the mouse genome has become a landmark in biomedical research. Traits that are only associated with advanced developmental stages can now be investigated within a living organism, and the in vivo analysis of corresponding phenotypes and functions advances the translation into the clinical setting. The annexins, a family of closely related calcium (Ca2+)- and lipid-binding proteins, are found at various intra- and extracellular locations, and interact with a broad range of membrane lipids and proteins. Their impacts on cellular functions has been extensively assessed in vitro, yet annexin-deficient mouse models generally develop normally and do not display obvious phenotypes. Only in recent years, studies examining genetically modified annexin mouse models which were exposed to stress conditions mimicking human disease often revealed striking phenotypes. This review is the first comprehensive overview of annexin-related research using animal models and their exciting future use for relevant issues in biology and experimental medicine.

Verified
Journal Article
Open access
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DKDelf-Magnus Kummerfeld
Delf-Magnus Kummerfeld
CRCarsten Raabe
Carsten Raabe
JBJuergen Brosius
Juergen Brosius
DMDingding Mo
Dingding Mo
BSBoris V. Skryabin
Boris V. Skryabin
Timofey S. RozhdestvenskyTimofey S. Rozhdestvensky
Timofey S. Rozhdestvensky
Prader-Willi syndrome (PWS) is a neurogenetic multifactorial disorder caused by the deletion or inactivation of paternally imprinted genes on human chromosome 15q11-q13. The affected homologous locus is on mouse chromosome 7C. The positional conservation and organization of genes including the imprinting pattern between mice and men implies similar physiological functions of this locus. Therefore, considerable efforts to recreate the pathogenesis of PWS have been accomplished in mouse models. We provide a summary of different mouse models that were generated for the analysis of PWS and discuss their impact on our current understanding of corresponding genes, their putative functions and the pathogenesis of PWS. Murine models of PWS unveiled the contribution of each affected gene to this multi-facetted disease, and also enabled the establishment of the minimal critical genomic region (PWScr) responsible for core symptoms, highlighting the importance of non-protein coding genes in the PWS locus. Although the underlying disease-causing mechanisms of PWS remain widely unresolved and existing mouse models do not fully capture the entire spectrum of the human PWS disorder, continuous improvements of genetically engineered mouse models have proven to be very powerful and valuable tools in PWS research.

23 April 2020 in Cells
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Journal Article
Open access
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JGJieny Gröper
Jieny Gröper
GKGabriele König
Gabriele König
EKEvi Kostenis
Evi Kostenis
VGVolker Gerke
Volker Gerke
CRCarsten Raabe
Carsten Raabe
URUrsula Rescher
Ursula Rescher
Ligand-based selectivity in signal transduction (biased signaling) is an emerging field of G protein-coupled receptor (GPCR) research and might allow the development of drugs with targeted activation profiles. Human formyl peptide receptor 1 (FPR1) is a GPCR that detects potentially hazardous states characterized by the appearance of N-formylated peptides that originate from either bacteria or mitochondria during tissue destruction; however, the receptor also responds to several non-formylated agonists from various sources. We hypothesized that an additional layer of FPR signaling is encoded by biased agonism, thus allowing the discrimination of the source of threat. We resorted to the comparative analysis of FPR1 agonist-evoked responses across three prototypical GPCR signaling pathways, i.e., the inhibition of cAMP formation, receptor internalization, and ERK activation, and analyzed cellular responses elicited by several bacteria- and mitochondria-derived ligands. We also included the anti-inflammatory annexinA1 peptide Ac2-26 and two synthetic ligands, the W-peptide and the small molecule FPRA14. Compared to the endogenous agonists, the bacterial agonists displayed significantly higher potencies and efficacies. Selective pathway activation was not observed, as both groups were similarly biased towards the inhibition of cAMP formation. The general agonist bias in FPR1 signaling suggests a source-independent pathway selectivity for transmission of pro-inflammatory danger signaling.


4 January 2018 in Nucleic Acids Research
Verified
Journal Article
Open access
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APAmit Pande
Amit Pande
JBJürgen Brosius
Jürgen Brosius
IMIzabela Makałowska
Izabela Makałowska
Wojciech MakalowskiWojciech Makalowski
Wojciech Makalowski
CRCarsten Raabe
Carsten Raabe
Proximal promoter regions (PPR) are heavily transcribed yielding different types of small RNAs. The act of transcription within PPRs might regulate downstream gene expression via transcriptional interference (TI). For analysis, we investigated capped and polyadenylated small RNA transcripts within PPRs of human RefSeq genes in eight different cell lines. Transcripts of our datasets overlapped with experimentally determined transcription factor binding sites (TFBS). For TFBSs intersected by these small RNA transcripts, we established negative correlation of sRNA expression levels and transcription factor (TF) DNA binding affinities; suggesting that the transcripts acted via TI. Accordingly, datasets were designated as TFbiTrs (TF-binding interfering transcripts). Expression of most TFbiTrs was restricted to certain cell lines. This facilitated the analysis of effects related to TFbiTr expression for the same RefSeq genes across cell lines. We consistently uncovered higher relative TF/DNA binding affinities and concomitantly higher expression levels for RefSeq genes in the absence of TFbiTrs. Analysis of corresponding chromatin landscapes supported these results. ChIA-PET revealed the participation of distal enhancers in TFbiTr transcription. Enhancers regulating TFbiTrs, in effect, act as repressors for corresponding downstream RefSeq genes. We demonstrate the significant impact of TI on gene expression using selected small RNA datasets.