45 research outputs found

    Promoter decoding of transcription factor dynamics involves a trade-off between noise and control of gene expression

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    Numerous transcription factors (TFs) encode information about upstream signals in the dynamics of their activation, but how downstream genes decode these dynamics remains poorly understood. Using microfluidics to control the nucleocytoplasmic translocation dynamics of the budding yeast TF Msn2, we elucidate the principles that govern how different promoters convert dynamical Msn2 input into gene expression output in single cells. Combining modeling and experiments, we classify promoters according to their signal-processing behavior and reveal that multiple, distinct gene expression programs can be encoded in the dynamics of Msn2. We show that both oscillatory TF dynamics and slow promoter kinetics lead to higher noise in gene expression. Furthermore, we show that the promoter activation timescale is related to nucleosome remodeling. Our findings imply a fundamental trade-off: although the cell can exploit different promoter classes to differentially control gene expression using TF dynamics, gene expression noise fundamentally limits how much information can be encoded in the dynamics of a single TF and reliably decoded by promoters

    Procalcitonin Is Not a Reliable Biomarker of Bacterial Coinfection in People With Coronavirus Disease 2019 Undergoing Microbiological Investigation at the Time of Hospital Admission

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    Abstract Admission procalcitonin measurements and microbiology results were available for 1040 hospitalized adults with coronavirus disease 2019 (from 48 902 included in the International Severe Acute Respiratory and Emerging Infections Consortium World Health Organization Clinical Characterisation Protocol UK study). Although procalcitonin was higher in bacterial coinfection, this was neither clinically significant (median [IQR], 0.33 [0.11–1.70] ng/mL vs 0.24 [0.10–0.90] ng/mL) nor diagnostically useful (area under the receiver operating characteristic curve, 0.56 [95% confidence interval, .51–.60]).</jats:p

    The P323L substitution in the SARS-CoV-2 polymerase (NSP12) confers a selective advantage during infection

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    Background The mutational landscape of SARS-CoV-2 varies at the dominant viral genome sequence and minor genomic variant population. During the COVID-19 pandemic, an early substitution in the genome was the D614G change in the spike protein, associated with an increase in transmissibility. Genomes with D614G are accompanied by a P323L substitution in the viral polymerase (NSP12). However, P323L is not thought to be under strong selective pressure. Results Investigation of P323L/D614G substitutions in the population shows rapid emergence during the containment phase and early surge phase during the first wave. These substitutions emerge from minor genomic variants which become dominant viral genome sequence. This is investigated in vivo and in vitro using SARS-CoV-2 with P323 and D614 in the dominant genome sequence and L323 and G614 in the minor variant population. During infection, there is rapid selection of L323 into the dominant viral genome sequence but not G614. Reverse genetics is used to create two viruses (either P323 or L323) with the same genetic background. L323 shows greater abundance of viral RNA and proteins and a smaller plaque morphology than P323. Conclusions These data suggest that P323L is an important contribution in the emergence of variants with transmission advantages. Sequence analysis of viral populations suggests it may be possible to predict the emergence of a new variant based on tracking the frequency of minor variant genomes. The ability to predict an emerging variant of SARS-CoV-2 in the global landscape may aid in the evaluation of medical countermeasures and non-pharmaceutical interventions

    Speech and Language Pathologists Supporting Educators and Students in Elementary School Classrooms

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    This Masters of Teaching Research Project is a qualitative study that addresses the topics of supporting students with speech and language disorders in the classroom, specifically within the topic of collaboration between the speech and language pathologists (SLPs) and educators in terms of the importance of early intervention. Although limited, the existing literature on collaboration between SLPs and classroom educators is successful on addressing the early intervention needs of the student however, lacking on how the SLP actually supports the educator in a classroom setting. With this in mind, this study aims to explore if collaboration exists and in what form, guided by the following research question: How does a sample of elementary school teachers and SLPs work together to support students in inclusive classrooms with speech and language disorders? Overarching themes include additional learning opportunities for educators in order to support students with speech and language disorders, as well as the different collaborative efforts used to support these students and challenges or potential challenges that may arise when working with SLPs. Ultimately, as a beginning teacher, I intend to discover the most beneficial way to support students with speech and language disorders and successful ways to learn and collaborate with SLPs

    An RpaA-Dependent Sigma Factor Cascade Sets the Timing of Circadian Transcriptional Rhythms in Synechococcus elongatus

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    Summary: The circadian clock of the cyanobacterium Synechococcus elongatus PCC 7942 drives oscillations in global mRNA abundances with 24-hr periodicity under constant light conditions. The circadian clock-regulated transcription factor RpaA controls the timing of circadian gene expression, but the mechanisms underlying this control are not well understood. Here, we show that four RpaA-dependent sigma factors—RpoD2, RpoD6, RpoD5, and SigF2—are sequentially activated downstream of active RpaA and are required for proper expression of circadian mRNAs. By measuring global gene expression in strains modified to individually lack rpoD2, rpoD6, rpoD5, and sigF2, we identify how expression of circadian mRNAs, including sigma factor mRNAs, is altered in the absence of each sigma factor. Broadly, our findings suggest that a single transcription factor, RpaA, is sufficient to generate complex circadian expression patterns in part by regulating an interdependent sigma factor cascade. : Fleming and O’Shea show that, as a master regulator of cyanobacterial circadian gene regulation, RpaA is sufficient to generate complex circadian expression patterns in part by regulating an interdependent sigma factor cascade

    ppGpp Controls Global Gene Expression in Light and in Darkness in S. elongatus

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    The bacterial and plant stringent response involves production of the signaling molecules guanosine tetraphosphate and guanosine pentaphosphate ((p)ppGpp), leading to global reorganization of gene expression. The function of the stringent response has been well characterized in stress conditions, but its regulatory role during unstressed growth is less studied. Here, we demonstrate that (p)ppGpp-deficient strains of S. elongatus have globally deregulated biosynthetic capacity, with increased transcription rate, translation rate, and cell size in unstressed conditions in light and impaired viability in darkness. Synthetic restoration of basal guanosine tetraphosphate (ppGpp) levels is sufficient to recover transcriptional balance and appropriate cell size in light and to rescue viability in light/dark conditions, but it is insufficient to enable efficient dark-induced transcriptional shutdown. Our work underscores the importance of basal ppGpp signaling for regulation of cyanobacterial physiology in the absence of stress and for viability in energy-limiting conditions, highlighting that basal (p)ppGpp level is essential in cyanobacteria in the environmental light/dark cycle
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