Regulation of heterochromatic RNA decay via heterochromatin protein 1 (HP1)

The central dogma of molecular biology describes the directional flow of biological information from DNA via RNA to protein. Information stored in DNA is copied to an mRNA molecule during the process of transcription. The mRNA is used as a template for translation, in which polypeptides are synthesized. The regulation of this process, which is conserved through all trees of life, has been a central field of study over the last decades. The discovery that RNA not only serves a simple role as a mere copy, but is much more versatile has created a lot of excitement. For example, RNA molecules themselves can act as enzymes. In the ribosome, rRNAs comprise the catalytic core for peptide bond formation. snRNAs form the core of the splicing machinery. tRNAs are the adaptors and thereby the actual readers of the genetic code. Last but not least, in the RNAi pathway, small RNAs serve as guides to target silencing complexes to complementary RNAs. Altogether, these findings placed RNA at the center of eukaryotic genome regulation. On the other hand, DNA in eukaryotic cells does not exist as a mere fibre, but is wrapped around the core histone octamer to form a nucleosome. Nucleosomes are the basic building blocks to form higher order chromatin structures. Besides its architectural role in chromosome segregation, genome stability and recombination, chromatin has also been linked to gene expression. In contrast to the rather gene-rich euchromatin, heterochromatin is a highly condensed and repressive structure, serves as a safe storage place for transposable elements and makes up a large fraction of the genome of higher eukaryotes. Repression or activation in different chromatin contexts involves covalent modifications on the histone proteins. The nature and combination of these modifications create different docking sites for various effector proteins that have either activating or repressing function. Surprisingly, recent studies have suggested that a substantial fraction of the genome, although heterochromatic, is transcribed at least to a certain extent and many of those transcripts do not encode proteins. Moreover, fascinating mechanisms have been discovered, in which the silencing of heterochromatic sequences involves RNA-dependent mechanisms. Altogether this suggests that the regulation of the genomic output in eukaryotes not only occurs at the level of transcription but to a substantial extent via co- or posttranscriptional gene silencing mechanisms (CTGS or PTGS, respectively). The cellular RNA decay machineries therefore have to be equipped with tools to specifically distinguish and degrade certain RNAs. Generally, RNA decay mechanisms recognize aberrant features that are contained in the RNA molecule itself, for example the presence and length of a poly(A) tail at the 3’end. The RNAi pathway is triggered by the presence of short ssRNA molecules that are complementary to a target RNA and thereby lead to degradation. In some cases degradation induces feedback mechanisms back to chromatin resulting in histone modification and/or transcriptional modulation. My work has identified a novel mechanism to regulate RNA decay, which is dependent on the chromatin context from which the RNA has been transcribed. This mechanism is independent of the actual RNA sequence/molecule but involves binding to the heterochromatin protein HP1(Swi6). I found that HP1(Swi6) binding to a heterochromatic transcript fulfils a checkpoint function, which mediates repression on at least two levels. First, HP1(Swi6) prevents translation of heterochromatic RNA by inhibiting association with ribosomes. This ensures repression even in the absence of RNA decay. Second HP1(Swi6) mediates elimination by capturing RNA at the site of transcription and escorting it to the degradation machinery. On a molecular level, this is achieved by RNA binding to the HP1(Swi6) hinge region. This renders the chromodomain structurally incompatible with stable H3K9me association leading to heterochromatin eviction and degradation of the RNA. My data points towards a model in which binding of HP1(Swi6) to a heterochromatic RNA creates a heterochromatin-specific ribonucleoprotein (hsRNP) that is prone to degradation. Importantly, HP1(Swi6) can induce degradation of any RNA of heterochromatic origin, which could be a crucial feature to repress the expression of deleterious sequences and transposons. Last but not least, my work is the first example that demonstrates that RNAs can act as “repellents” for chromatin proteins

The sex-specific factor SOA controls dosage compensation in <i>Anopheles</i> mosquitos

The Anopheles mosquito is one of thousands of species in which sex differences play a central role in their biology, as only females need a blood meal in order to produce eggs. Sex differentiation is regulated by sex chromosomes, but their presence creates a dosage imbalance between males (XY) and females (XX). Dosage compensation (DC) can re-equilibrate the expression of sex-chromosomal genes, but because DC mechanisms have only been fully characterized in a few model organisms, key questions about its evolutionary diversity and functional necessity remain unresolved 1. Here we report the discovery of a previously uncharacterized gene (SOA, for sex chromosome activation) as a master regulator of DC in the malaria mosquito Anopheles gambiae. Sex-specific alternative splicing prevents functional SOA protein expression in females. The male isoform encodes a DNA-binding protein that binds the promoters of active X chromosomal genes. Expressing male SOA is sufficient to induce DC in female cells. Male mosquitoes lacking SOA or female mosquitos ectopically expressing the male isoform exhibit X chromosome misregulation, which is compatible with viability but causes developmental delay. Thus, our molecular analysis of the first DC master regulator in a non-model organism elucidates the evolutionary steps leading to the establishment of a chromosome-specific fine-tuning mechanism

Understanding 'non-genetic' inheritance : insights from molecular-evolutionary crosstalk

The idea for this paper was initially proposed by I.A.-K. and was further developed by all authors in a workshop generously funded by grant No 789240 from the European Research Council (ERC) to F.J.W. S.E.S. acknowledges support from Wesleyan University and The John Templeton Foundation.Understanding the evolutionary and ecological roles of 'non-genetic' inheritance (NGI) is daunting due to the complexity and diversity of epigenetic mechanisms. We draw on insights from molecular and evolutionary biology perspectives to identify three general features of 'non-genetic' inheritance systems: (i) they are functionally interdependent with, rather than separate from, DNA sequence; (ii) precise mechanisms vary phylogenetically and operationally; and (iii) epigenetic elements are probabilistic, interactive regulatory factors and not deterministic 'epialleles' with defined genomic locations and effects. We discuss each of these features and offer recommendations for future empirical and theoretical research that implements a unifying inherited gene regulation (IGR) approach to studies of 'non-genetic' inheritance.Publisher PDFPeer reviewe

A time-resolved proteomic and prognostic map of COVID-19

COVID-19 is highly variable in its clinical presentation, ranging from asymptomatic infection to severe organ damage and death. We characterized the time-dependent progression of the disease in 139 COVID-19 inpatients by measuring 86 accredited diagnostic parameters, such as blood cell counts and enzyme activities, as well as untargeted plasma proteomes at 687 sampling points. We report an initial spike in a systemic inflammatory response, which is gradually alleviated and followed by a protein signature indicative of tissue repair, metabolic reconstitution, and immunomodulation. We identify prognostic marker signatures for devising risk-adapted treatment strategies and use machine learning to classify therapeutic needs. We show that the machine learning models based on the proteome are transferable to an independent cohort. Our study presents a map linking routinely used clinical diagnostic parameters to plasma proteomes and their dynamics in an infectious disease

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

Search for Physics beyond the Standard Model in Events with Overlapping Photons and Jets

Results are reported from a search for new particles that decay into a photon and two gluons, in events with jets. Novel jet substructure techniques are developed that allow photons to be identified in an environment densely populated with hadrons. The analyzed proton-proton collision data were collected by the CMS experiment at the LHC, in 2016 at root s = 13 TeV, and correspond to an integrated luminosity of 35.9 fb(-1). The spectra of total transverse hadronic energy of candidate events are examined for deviations from the standard model predictions. No statistically significant excess is observed over the expected background. The first cross section limits on new physics processes resulting in such events are set. The results are interpreted as upper limits on the rate of gluino pair production, utilizing a simplified stealth supersymmetry model. The excluded gluino masses extend up to 1.7 TeV, for a neutralino mass of 200 GeV and exceed previous mass constraints set by analyses targeting events with isolated photons.Peer reviewe

Bose-Einstein correlations of charged hadrons in proton-proton collisions at s\sqrt s = 13 TeV

Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s}$ = 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s}$ = 7 TeV, as well as with theoretical predictions.[graphic not available: see fulltext]Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s} =$ 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s} =$ 7 TeV, as well as with theoretical predictions

Measurement of the top quark forward-backward production asymmetry and the anomalous chromoelectric and chromomagnetic moments in pp collisions at √s = 13 TeV

Abstract The parton-level top quark (t) forward-backward asymmetry and the anomalous chromoelectric (d̂ t) and chromomagnetic (μ̂ t) moments have been measured using LHC pp collisions at a center-of-mass energy of 13 TeV, collected in the CMS detector in a data sample corresponding to an integrated luminosity of 35.9 fb−1. The linearized variable AFB(1) is used to approximate the asymmetry. Candidate t t ¯ events decaying to a muon or electron and jets in final states with low and high Lorentz boosts are selected and reconstructed using a fit of the kinematic distributions of the decay products to those expected for t t ¯ final states. The values found for the parameters are AFB(1)=0.048−0.087+0.095(stat)−0.029+0.020(syst),μ̂t=−0.024−0.009+0.013(stat)−0.011+0.016(syst), and a limit is placed on the magnitude of | d̂ t| &lt; 0.03 at 95% confidence level. [Figure not available: see fulltext.

Search for dark matter in events with a leptoquark and missing transverse momentum in proton-proton collisions at 13 TeV

A search is presented for dark matter in proton-proton collisions at a center-of-mass energy of root s= 13 TeV using events with at least one high transverse momentum (p(T)) muon, at least one high-p(T) jet, and large missing transverse momentum. The data were collected with the CMS detector at the CERN LHC in 2016 and 2017, and correspond to an integrated luminosity of 77.4 fb(-1). In the examined scenario, a pair of scalar leptoquarks is assumed to be produced. One leptoquark decays to a muon and a jet while the other decays to dark matter and low-p(T) standard model particles. The signature for signal events would be significant missing transverse momentum from the dark matter in conjunction with a peak at the leptoquark mass in the invariant mass distribution of the highest p(T) muon and jet. The data are observed to be consistent with the background predicted by the standard model. For the first benchmark scenario considered, dark matter masses up to 500 GeV are excluded for leptoquark masses m(LQ) approximate to 1400 GeV, and up to 300 GeV for m(LQ) approximate to 1500 GeV. For the second benchmark scenario, dark matter masses up to 600 GeV are excluded for m(LQ) approximate to 1400 GeV. (C) 2019 The Author(s). Published by Elsevier B.V.Peer reviewe

Measurement of t(t)over-bar normalised multi-differential cross sections in pp collisions at root s=13 TeV, and simultaneous determination of the strong coupling strength, top quark pole mass, and parton distribution functions

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