Biology subjects

Geerlof, A.

Publications and source records attributed to Geerlof, A..

4 recordsLinked to original sources

bioRxiv2020

Defining the RBPome of T helper cells to study higher order post-transcriptional gene regulation

Post-transcriptional gene regulation is complex, dynamic and ensures proper T cell function. The targeted transcripts can simultaneously respond to various factors as evident for Icos, an mRNA regulated by several RNA binding proteins (RBPs), including Roquin. However, fundamental information about the entire RBPome involved in post-transcriptional gene regulation in T cells is lacking. Here, we applied global RNA interactome capture (RNA-IC) and orthogonal organic phase separation (OOPS) to human and mouse primary T cells and identified the core T cell RBPome. This defined 798 mouse and 801 human proteins as RBPs, unexpectedly containing signaling proteins like Stat1, Stat4 and Vav1. Based on the vicinity to Roquin-1 in proximity labeling experiments, we selected [~]50 RBPs for testing coregulation of Roquin targets. Induced expression of these candidate RBPs in wildtype and Roquin-deficient T cells unraveled several Roquin-independent contributions, but also revealed Celf1 as a new Roquin-1-dependent and target-specific coregulator of Icos. One sentence statementWe provide an atlas of RNA-binding proteins in human and mouse T helper cells as a resource for studying higher order post-transcriptional gene regulation.

immunology↗

bioRxiv2020

Structural evolution of the tissue-specific U2AF2 paralog and alternative splicing factor LS2

The Drosophila melanogaster LS2 protein is a tissue-specific paralog of U2AF2 that mediates testis-specific alternative splicing. In order to understand the structural mechanisms underlying the distinct RNA binding specificity we determined the solution structures of the LS2 RNA recognition motif (RRM) domains and characterized their interaction with cis-regulatory guanosine-rich RNA motifs found in intron regions upstream of alternatively spliced exons. We show that the guanosine-rich RNA adopts a G quadruplex (G4) fold in vitro. The LS2 tandem RRMs adopt canonical RRM folds that are connected by a 38-residue linker that harbors a small helical motif 0. The LS2 RRM2 domain and the 0 helix in the interdomain linker mediate interactions with the G4 RNA. The functional importance of these unique molecular features in LS2 is validated by mutational analysis in vitro and RNA splicing assays in vivo. RNA sequencing data confirm the enrichment of G4-forming LS2 target motifs near LS2-affected exons. Our data indicate a role of G quadruplex structures as cis-regulatory motifs in introns for the regulation of alternative splicing, that engage non-canonical interactions with a tandem RRM protein. These results highlight the intriguing molecular evolution of a tissue-specific splicing factor from its conserved U2AF2 paralog as a result of (retro-) gene duplication in D. melanogaster.

biochemistry↗

bioRxiv2020

DNA damage independent inhibition of NF-κB transcription by anthracyclines

Anthracyclines are among the most used and effective anticancer drugs. Their activity has been attributed to DNA double-strand breaks resulting from topoisomerase II poisoning and to eviction of histones from select sites in the genome. Here we show that the extensively used anthracyclines Doxorubicin, Daunorubicin and Epirubicin, decrease the transcription of nuclear factor kappa B (NF-{kappa}B)-dependent gene targets, but not interferon responsive genes. Using an NMR-based structural approach, we demonstrate that anthracyclines disturb the complexes formed between the NF-{kappa}B subunit RelA and its DNA binding sites. The variant anthracyclines Aclarubicin, Doxorubicinone and the newly developed Dimethyl-doxorubicin, which share anticancer properties with the other anthracyclines but do not induce DNA damage, also suppressed inflammation, thus uncoupling DNA damage from the effects on inflammation. These findings have implications for anticancer therapy and for the development of novel anti-inflammatory drugs with limited side effects for life-threatening conditions such as sepsis.

immunology↗

bioRxiv2020

Molecular recognition and dynamics of linear poly-ubiquitins: integrating coarse-grain simulations and experiments

Poly-ubiquitin chains are flexible multidomain proteins, whose conformational dynamics enable their molecular recognition by a large number of partners in multiple biological pathways. By using alternative linkage, it is possible to obtain poly-ubiquitin molecules with different dynamical properties. This flexibility is further increased by the possibility to tune the length of poly-ubiquitin chains. Characterizing the dynamics of poly-ubiquitins as a function of their length is thus relevant to understand their biology. Structural characterization of poly-ubiquitin conformational dynamics is challenging both experimentally and computationally due to increasing system size and conformational variability. Here, by developing highly efficient and accurate small-angle X-ray scattering driven Martini coarse-grain simulations, we characterize the dynamics of linear M1-linked di-, tri- and tetra-ubiquitin chains. Our data show that the behavior of the di-ubiquitin subunits is independent of the presence of additional ubiquitin modules. We propose that the conformational space sampled by linear poly-ubiquitins, in general, may follow a simple self-avoiding polymer model. These results, combined with experimental data from small angle X-ray scattering, biophysical techniques and additional simulations show that binding of NEMO, a central regulator in the NF-{kappa}B pathway, to linear poly-ubiquitin obeys a 2:1 (NEMO:poly-ubiquitin) stoichiometry in solution, even in the context of four ubiquitin units. Eventually, we show how the conformational properties of long poly-ubiquitins may modulate the binding with their partners in a length-dependent manner. SignificanceProtein conformational dynamics plays an essential role in molecular recognition mechanisms. The characterization of conformational dynamics is hampered by the conformational averaging of observable in experimental structural biology techniques and by the limitations in the accuracy of computational methods. By developing an efficient and accurate approach to combine small-angle X-ray scattering solution experiments and coarse-grain Martini simulations, we show that the conformational dynamics of linear poly-ubiquitins can be efficiently determined and to rationalize the role of poly-ubiquitin dynamic in the molecular recognition of the UBAN domain upon binding to the signaling regulator NEMO. The analysis of the conformational ensembles allows us to propose a general model of the dynamics of linear poly-ubiquitin chains where they can be described as a self-avoiding polymer with a characteristic length associated with their specific linkage.

biophysics↗