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Basu, S.

Publications and source records attributed to Basu, S..

At least 91 records · Page 5Linked to original sources

Stalling of Transcription by Putative G-quadruplex Sequences and CRISPR-dCas9

Putative G-quadruplex forming sequences (PQS) have been identified in promoter sequences of prominent genes that are implicated among others in cancer and neurological disorders. We explored mechanistic aspects of CRISPR-dCas9-mediated gene expression regulation, which is transient and sequence specific unlike alternative approaches that lack such specificity or create permanent mutations, using the PQS in tyrosine hydroxylase (TH) and c-Myc promoters as model systems. We performed in vitro ensemble and single molecule investigations to study whether G-quadruplex (GQ) structures or dCas9 impede T7 RNA polymerase (RNAP) elongation process and whether orientation of these factors is significant. Our results demonstrate that dCas9 is more likely to block RNAP progression when the non-template strand is targeted. While the GQ in TH promoter was effectively destabilized when the dCas9 target site partially overlapped with the PQS, the c-Myc GQ remained folded and stalled RNAP elongation. We also determined that a minimum separation between the transcription start site and the dCas9 target site is required for effective stalling of RNAP by dCas9. Our study provides significant insights about the factors that impact dCas9-mediated transcription regulation when dCas9 targets the vicinity of sequences that form secondary structures and provides practical guidelines for designing guide RNA sequences.

molecular biology↗

Translation coupled mRNA-decay is a function of both structural and codon level characteristics

The majority of mRNA degradation occurs co-translationally. Several works in the past elucidated the role of codon composition in regulating co-translational mRNA decay. Integration of mRNA sequence, structure and ribosomal density unravels common regulatory factors of translational and degradation and helps in understanding the intricate association between these two important processes. Co-translational degradation is a two-step process, involving translational stalling and mRNA release for degradation. Our findings highlight the role of Codon Adaptation Index, a sequence-level feature that serves as the primary determinant of translation rates facilitating transcript release from translational machinery upon stalling. Concurrently, cellular endonucleases targeting Internal Unstructured Segments, facilitating easy degradation of the stalled mRNA transcripts, influencing their half-lives across the genome and over evolutionary timescales.

bioinformatics↗

Weather-related changes in the dehydration of respiratory droplets on surfaces bolster bacterial endurance

HypothesisThe study shows for the first time a fivefold difference in the survivability of the bacterium Pseudomonas Aeruginosa (PA) in a realistic respiratory fluid droplet on fomites undergoing drying at different environmental conditions. For instance, in 2023, the annual average relative humidity (RH) in London (UK) is 71%, whereas in Delhi (India), it is 45%, showing that disease spread from fomites could have a demographic dependence. Respiratory fluid droplet ejections containing pathogens on inanimate surfaces are crucial in disease spread, especially in nosocomial settings. However, the interplay between evaporation dynamics, internal fluid flow and precipitation and their collective influence on the distribution and survivability of pathogens at different environmental conditions are less known. ExperimentsShadowgraphy imaging is employed to study evaporation, and optical microscopy imaging is used for precipitation dynamics. Micro-particle image velocimetry (MicroPIV) measurements reveal the internal flow dynamics. Confocal imaging of fluorescently labelled PA elucidates the bacterial distribution within the deposits. FindingsThe study finds that the evaporation rate is drastically impeded during drying at elevated solutal concentrations, particularly at high RH conditions. MicroPIV shows reduced internal flow under high RH conditions. Evaporation rate influences crystal growth, with delayed efflorescence and extending crystallisation times. PA forms denser peripheral arrangements under high evaporation rates and shows a fivefold increase in survivability under low evaporation rates. These findings highlight the critical impact of environmental conditions on pathogen persistence and disease spread from inanimate surfaces. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=80 SRC="FIGDIR/small/579296v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@6b9876org.highwire.dtl.DTLVardef@1e6a18forg.highwire.dtl.DTLVardef@78d308org.highwire.dtl.DTLVardef@66ebe8_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

Evaporation of bacteria-laden surrogate respiratory fluid droplets: On a hydrophilic substrate versus contact-free environment confers differential bacterial infectivity

The transmission of viruses/ bacteria cause infection predominantly via aerosols. The transmission mechanism of respiratory diseases is complex, including direct or indirect contact, large droplet, and airborne routes apart from close contact transmission. With this pretext, we have investigated two modes of droplet evaporation to understand its significance in airborne disease transmission; a droplet in a contact-free environment, which evaporates and forms droplet nuclei, and a droplet on a hydrophilic substrate (fomite). The study examines mass transport, the deposition pattern of bacteria in the precipitates, and their survival and virulence. The osmotic pressure increases with the salt concentration, inactivating the bacteria embedded in the precipitates with accelerated evaporation. Further, the bacterias degree of survival and enhanced pathogenicity are compared for both evaporation modes. The striking differences in pathogenicity are attributed to the evaporation rate, oxygen availability, and reactive oxygen species (ROS) generation.

microbiology↗

Droplet microfluidics for time-resolved serial crystallography

Serial crystallography requires large numbers of microcrystals and robust strategies to rapidly apply substrates to initiate reactions in time-resolved studies. Here we report the use of droplet miniaturisation for the controlled production of uniform crystals, providing an avenue for controlled diffusion and synchronous reaction initiation. The approach was evaluated using two enzymatic systems, yielding 3-{micro}m lysozyme crystals and 2-{micro}m crystals of Pdx1, an Arabidopsis enzyme involved in vitamin B6 biosynthesis. A seeding strategy was used to overcome the improbability of Pdx1 nucleation occurring with diminishing droplet volumes. Convection within droplets was exploited for rapid crystal mixing with ligands. Mixing times of <2 milliseconds were achieved. Droplet microfluidics for crystal size engineering and rapid micromixing can be used to advance time-resolved serial crystallography.

biochemistry↗

Heritability estimation of subcortical volumes in a multi-ethnic multi-site cohort study

Heritability of regional subcortical brain volumes (rSBVs) describes the role of genetics in middle and inner brain development. rSBVs are highly heritable in adults but are not characterized well in adolescents. The Adolescent Brain Cognitive Development study (ABCD), taken over 22 US sites, provides data to characterize the heritability of subcortical structures in adolescence. In ABCD, site-specific effects co-occur with genetic effects which can bias heritability estimates. Existing methods adjusting for site effects require additional steps to adjust for site effects and can lead to inconsistent estimation. We propose a random-effect model-based method of moments approach that is a single step estimator and is a theoretically consistent estimator even when sites are imbalanced and performs well under simulations. We compare methods on rSBVs from ABCD. The proposed approach yielded heritability estimates similar to previous results derived from single-site studies. The cerebellum cortex and hippocampus were the most heritable regions (>50%).

genomics↗

Structural dynamics and functional cooperativity of human NQO1 by ambient temperature serial crystallography and simulations

The human NQO1 (hNQO1) is a FAD-dependent oxidoreductase that catalyzes the two-electron reduction of quinones to hydroquinones, being essential for the antioxidant defense system, stabilization of tumor suppressors, and activation of quinone-based chemotherapeutics, and it is over-expressed in several tumors, which makes it an attractive cancer drug target. To decipher new structural insights into the flavin reductive half-reaction of the catalytic mechanism of hNQO1, we have carried serial crystallography experiments at new ID29 beamline of the ESRF to determine, to the best of our knowledge, the first structure of the hNQO1 in complex with NADH. The use of room temperature serial crystallography with microcrystals has been key to study this mechanism. We have also performed molecular dynamics simulations of free hNQO1 and in complex with NADH. Both structural results and MD simulations have supported that the binding of NADH significantly decreases protein dynamics and stabilizes hNQO1 especially at the dimer core and interface. This is the first structural evidence that the hNQO1 functional cooperativity is driven by structural communication between the active sites through long-range propagation of cooperative effects across the hNQO1 structure. Altogether, these results pave the way for future time-resolved studies, both at XFELs and synchrotrons, of the dynamics of hNQO1 upon binding to NADH as well as during the FAD cofactor reductive half-reaction. This knowledge will allow us to reveal unprecedented structural information of the relevance of the dynamics during the catalytic function of hNQO1.

biochemistry↗

Non-canonical NF-κB signaling in dendritic cells promotes intestinal inflammation by restraining the tolerogenic β-catenin-Raldh2 axis

Dendritic cell (DC) dysfunctions exacerbate intestinal pathologies. However, the mechanisms compromising DC-mediated immune controls remain unclear. We found that intestinal DCs from mice subjected to experimental colitis possessed heightened non-canonical NF-{kappa}B signaling, which activates the RelB:p52 heterodimer. Genetic inactivation of this pathway in DCs alleviated inflammation in colitogenic mice. Unexpectedly, RelB:p52 deficiency diminished the transcription of Axin1, a critical component of the {beta}-catenin destruction complex. This reinforced {beta}-catenin-driven expression of Raldh2, which imparts tolerogenic DC attributes by promoting retinoic acid (RA) synthesis. Indeed, DC-specific non-canonical NF-{kappa}B impairment improved the colonic frequency of Tregs and IgA+ B cells, which fostered luminal IgA and eubiosis. Introducing {beta}-catenin haploinsufficiency in non-canonical NF-{kappa}B-deficient DCs moderated Raldh2 activity, reinstating colitogenic sensitivity in mice. Finally, IBD patients displayed a deleterious non-canonical NF-{kappa}B signature in intestinal DCs. In sum, we establish a DC network that integrates non-canonical NF-{kappa}B signaling to subvert RA metabolic pathway in fueling intestinal inflammation. Significance (100)Distorted dendritic cell (DC) functions have been implicated in aberrant intestinal inflammation; however, the underlying mechanism remains obscure. We discovered that the non-canonical NF-{kappa}B pathway exacerbates inflammation in the colitogenic gut by downmodulating {beta}-catenin-driven synthesis of Raldh2 in DCs. Raldh2 represents a key enzyme involved in the production of tolerogenic retinoic acid in intestinal DCs. Beyond regulating immune genes, therefore, non-canonical NF-{kappa}B signaling appears to instruct retinoic acid-mediated control of gut health. While we illustrate a DC network integrating immune signaling and micronutrient metabolic pathways in the intestine, our finding may have broad relevance for nutritional interventions in inflammatory ailments. eToCDeka and Kumar et al. illustrate a DC-circuitry that exacerbates intestinal inflammation in IBD patients and colitogenic mice. Non-canonical NF-{kappa}B signaling restrains {beta}-catenin in DCs to downmodulate Raldh2, which promotes tolerogenic RA synthesis, leading to diminished Treg and IgA+ cell frequencies in the gut. HighlightsO_LIAberrant intestinal inflammation is associated with and exacerbated by non-canonical NF-{kappa}B signaling in DCs. C_LIO_LINon-canonical signaling restrains the tolerogenic {beta}-catenin-Raldh2 axis in DCs by upregulating Axin1. C_LIO_LIDC-specific RelB:p52 impairment promotes {beta}-catenin-dependent Treg accumulation in the gut. C_LIO_LIA DC defect of non-canonical signaling causes {beta}-catenin-dependent increase in luminal sIgA, fostering the gut microbiome. C_LI One sentenceThe non-canonical NF-{kappa}B pathway fuels intestinal inflammation by waning the tolerogenic {beta}-catenin-Raldh2-retinoic acid axis in DCs.

immunology↗

Structural basis of tRNA recognition by the m3C-RNA-methyltransferase METTL6 in complex with SerRS seryl-tRNA synthetase

Methylation of cytosine 32 in the anticodon loop of tRNAs to 3-methylcytosine (m3C) is crucial for cellular translation fidelity 1. Misregulation of the RNA methyltransferases setting this modification can cause aggressive cancers and metabolic disturbances 2,3. However, our understanding of the substrate selection and catalysis mode of the m3C RNA methyltransferases is currently still lacking. Here, we report the cryo-electron microscopy structure of the m3C tRNA methyltransferase METTL6 in complex with seryl-tRNA synthetase (SerRS) and their common substrate tRNASer. Through the complex structure, we identify the tRNA binding domain of METTL6. We show that SerRS acts as the tRNASer substrate selection factor for METTL6. We reveal how METTL6 and SerRS jointly coordinate the long variable arm of tRNASer in their interface. We demonstrate that SerRS augments the methylation activity of METTL6 and that direct contacts between METTL6 and SerRS are necessary for efficient tRNASer methylation. Finally, based on the structure of METTL6 in complex with SerRS and tRNASer, we postulate a universal tRNA binding mode for m3C RNA methyltransferases including METTL2 and METTL8, suggesting that these mammalian paralogues use similar ways to engage their respective tRNA substrates and co-factors.

molecular biology↗

miRVim: Three-dimensional miRNA Structure Data Server

MicroRNAs (miRNAs), a distinct category of non-coding RNAs, exert multifaceted regulatory functions in a variety of organisms, including humans, animals, and plants. The inventory of identified miRNAs stands at approximately 60,000 among all species and 1,926 in Homo sapiens manifests miRNA expression. Their theranostic role has been explored by researchers over the last few decades, positioning them as prominent therapeutic targets as our understanding of RNA targeting advances. However, the limited availability of experimentally determined miRNA structures has constrained drug discovery efforts relying on virtual screening or computational methods, including machine learning. To address this limitation, miRVim has been developed, providing a repository of human miRNA structures derived from both two-dimensional (MXFold2, CentroidFold, and RNAFold) and three-dimensional (RNAComposer and 3dRNA) structure prediction algorithms, in addition to experimentally available structures from the RCSB PDB repository. This data server aims to facilitate computational data analysis for drug discovery, opening new avenues for advancing technologies such as machine learning-based predictions in the field. The publicly accessible structures provided by miRVim, available at https://mirna.in/miRVim, offer a valuable resource for the research community, advancing the field of miRNA-related computational analysis and drug discovery.

bioinformatics↗

PROLONG: Penalized Regression for Outcome guided Longitudinal Omics analysis with Network and Group constraints

MotivationThere is a growing interest in longitudinal omics data, but there are gaps in existing methodology in the high-dimensional setting. This paper focuses on selecting metabolites that co-vary with Tuberculosis mycobacterial load. The proposed method is applied to general continuous longitudinal outcomes with continuous longitudinal omics predictors. Simple longitudinal models examining a single omic predictor at a time do not leverage the correlation across predictors, thus losing power. We propose a penalized regression approach on the first differences of the data that extends the lasso + Laplacian method (Li and Li 2008) to a longitudinal group lasso + Laplacian approach. Our method, PROLONG, leverages the first differences of the data to address the piecewise linear structure and the observed time dependence. The Laplacian network constraint incorporates the dependence structure of the predictors, and the group lasso constraint induces sparsity while grouping metabolites across their first differenced observations. ResultsWith an automated selection of model hyper-parameters, PROLONG correctly selects target metabolites with high specificity and sensitivity across simulation scenarios and sizes. PROLONG selects a set of metabolites from the real data that includes interesting targets identified during EDA. AvailabilityR package prolong is in development. ConclusionsPROLONG is a powerful method for selecting interesting features in high dimensional longitudinal omics data that co-vary with some continuous clinical outcome. Contactsb2643@cornell.edu

bioinformatics↗

Novel DNA methylation changes in mouse lungs associated with heavy smoking

Smoking is a potent cause of asthma, chronic obstructive pulmonary disease (COPD) and many other health defects, and changes in DNA methylation (DNAm) have been identified as a potential link between smoking and these health outcomes. However, most links between smoking and DNAm have been made using blood and other easily accessible tissues in humans, while evidence from more directly affected tissues such as the lungs is greatly lacking. Here, we identified DNAm patterns which are altered by smoking directly in the lungs. We used a well-established mouse model to measure the effects of heavy smoking first on lung phenotype immediately after smoking and then after a period of smoking cessation. Next, we determined whether our mouse model could recapitulate previous DNAm patterns observed in smoking humans by measuring DNAm at a candidate gene responsive to cigarette smoke (CS), Cyp1a1. Finally we carried out epigenome-wide DNAm analyses using the newly released Illumina mouse methylation microarrays. Our results recapitulate some of the phenotypes and DNAm patterns observed in human studies but reveal 32 differentially methylated genes specific to the lungs which have not been previously associated with smoking. The affected genes are known to be involved in nicotine dependency, tumorigenesis and metastasis, immune cell dysfunction, lung function decline, and COPD. This research emphasizes the need to study CS-mediated DNAm signatures in directly affected tissues like the lungs, as that may be essential in understanding mechanisms underlying CS-mediated health outcomes.

molecular biology↗

Drug-bacterial membrane interactions: A Tale of two force fields

Tuberculosis (TB), caused by Mycobacterium tuberculosis (M.tb), a gram-positive bacteria, is known to infect and kill millions of people worldwide, specifically in poor and developing countries. M.tb has unique characteristics in terms of the presence of an extraordinarily thick cell wall structure, mainly composed of mycolic acid (MA) and arabinogalactan (AG). Between these components, mycolic acid is of particular interest because it exhibits extremely low permeability for most of the drug molecules, thus helping M.tb to survive against medical treatment. Hence, it is extremely useful to study the interactions between drug molecules and mycolic acids in order to better design potential TB medicine. On that premise, the present work aims to computationally model mycolic acid monolayer and probe its permeability against some first-line TB drugs, namely ethambutol, ethionamide, and isoniazid. It is a known fact that such modelling strongly depends on the interaction parameters used. The current study addresses this issue by employing two widely used force fields-GROMOS 54A7-ATB (hereafter GROMOS) united atom force fields and CHARMM36 (hereafter CHARMM) all-atom force fields to collate the drug-mycolic acid interplay. Our findings indicate that both force fields provide consistent results in terms of the mode of drug-monolayer interactions but significantly differ for the monolayer permeability. Mycolic acid monolayer generally exhibited a higher free energy barrier of crossing using CHARMM FF, while GROMOS parameters provide better stability of drug molecules on the monolayer surface, which can be attributed to the greater electrostatic potential at the monolayer-water interface. Both the force field parameters predicted the highest resistance against ethambutol, the most soluble molecule. However, significant differences can be recorded for the other two molecules with the change in the interaction parameter set. In summary, our study provides insight into the dependency of in silico modelling of membranes on force field parameters together with the guidelines to investigate the drug-membrane interactions consisting of non-standard lipids/fatty acids.

biophysics↗

Molecular pathways and cellular subsets associated with adverse clinical outcomes in overlapping immune-related myocarditis and myositis

Immune checkpoint therapies (ICTs) can induce life-threatening immune-related adverse events, including myocarditis and myositis, which are rare but often concurrent. The molecular pathways and immune subsets underlying these toxicities remain poorly understood. To address this need, we obtained heart and skeletal muscle biopsies for single-cell RNA sequencing in living patients with cancers treated with ICTs admitted to the hospital with myocarditis and /or myositis (overlapping myocarditis plus myositis, n=10; myocarditis-only, n=1) compared to ICT-exposed patients ruled out for toxicity utilized as controls (n=9) within 96 hours of clinical presentation. Analyses of 58,523 cells revealed clonally expanded CD8+ T cells with a cytotoxic phenotype expressing activation/exhaustion markers in both myocarditis and myositis. Furthermore, the analyses identified a population of tissue-resident myeloid cells expressed Fc{gamma}RIIIa, which is known to bind IgG and regulate complement activation. Immunohistochemistry of affected cardiac and skeletal muscle tissues revealed protein expression of pan-IgG and complement product C4d that were associated with the presence of high-titer serum autoantibodies against muscle antigens in a subset of patients. We further identified a population of inflammatory IL-1B+TNF+ myeloid cells specifically enriched in myocarditis and associated with greater toxicity severity and poorer clinical outcomes. These results are the first to recognize these myeloid subsets in human immune-related myocarditis and myositis tissues and nominate new targets for investigation into rational treatments to overcome these high-mortality toxicities. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=168 SRC="FIGDIR/small/556590v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@b5895forg.highwire.dtl.DTLVardef@4dec8corg.highwire.dtl.DTLVardef@1e50cb9org.highwire.dtl.DTLVardef@a653fd_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Klebsiella Pneumoniae turns more virulent under flow stresses in capillary like microchannels

Fluidic habitats are very common to bacterial life, however, very little is known about the effect of the flow stresses on the virulence of the bacteria. In the present work, we conduct microfluidic experiments to understand the consequence of stresses generated by flowing fluid on the bacterial morphology and virulence. We consider Klebsiella pneumoniae (KP), an ESKAPE pathogen as the model bacteria that are responsible for blood stream infections like bacteremia apart from pneumonia, urinary tract infections and more. We generate four different stress conditions by changing the flow rate and channel geometry subsequently altering the shear rate and stressing time ({tau}). We observe significant changes in the structural aspects of the stressed bacteria. With an increase in stressing parameters, the viability of the bacterial sample deteriorated. Most importantly, these stressed samples proliferate much more than unstressed samples inside the RAW264.7 murine macrophages. The results shed light on the complex relationship between flow stresses and bacterial virulence. Furthermore, we challenge the bacterial samples with ciprofloxacin to see how they behave under different stress conditions. The present study can be extended to model deadly diseases like bacteremia using organ-on-a-chip technology and help understand bacterial pathogenicity under realistic environments. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=111 SRC="FIGDIR/small/558194v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@1111ea1org.highwire.dtl.DTLVardef@f20494org.highwire.dtl.DTLVardef@10ac86dorg.highwire.dtl.DTLVardef@ec6eb1_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure:C_FLOATNO A schematic representation of the present work. Figure created with BioRender (www.biorender.com) C_FIG

biophysics↗

PlexinD1 deficiency in CD11c+ dendritic cells exacerbates airway hyperresponsiveness and enhances IgE and mucus production in allergic asthma

Dendritic cells (DC) play a crucial role in regulating allergic asthma. We have demonstrated that the absence of semaphorin3E (Sema3E) exacerbates asthma features in acute and chronic asthma models. However, the role of plexinD1 in these events, especially in DC is unknown. Therefore, we investigated the role of plexinD1 in CD11c+ DC in the HDM model of asthma. CD11c+ DC-specific plexinD1 knockout mice and wild-type mice were subjected to HDM acute allergen protocol. Airway hyperresponsiveness (AHR) parameters were measured using the FlexiVent ventilator. Lung tissue and bronchoalveolar lavage fluid (BALF) were processed by flow cytometry. Cytokines and antibodies were measured using mesoscale and ELISA. Collagen deposition and mucus production were visualized by histological staining, and associated genes were investigated using Real-time PCR. We showed that DC-specific plexinD1 knockout mice exhibited exacerbated airway hyperresponsiveness, including increased airway resistance and tissue elastance. These mice displayed enhanced levels of mucus production and collagen gene expression compared to wild-type mice. These events were accompanied by enhanced recruitment of conventional DCs, specifically CD11b+ cDC2, into the lungs and higher levels of total and HDM-specific serum IgE in CD11cPLXND1 KO compared to wild-type counterparts. Mechanistically, a significantly higher level of IgE in the co-culture of B-DCs isolated from CD11cPLXND1 KO mice compared to DCs isolated from wild-type mice. Overall, our data reveals that the Sema3E-plexinD1 signalling pathway in CD11c+ DC is critical in modulating asthma features. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=140 SRC="FIGDIR/small/557276v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@170c121org.highwire.dtl.DTLVardef@1979dddorg.highwire.dtl.DTLVardef@fd547borg.highwire.dtl.DTLVardef@1b5726a_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

A synthetic biology approach to transgene expression

The ability to control gene expression is pivotal in genetic engineering and synthetic biology. However, in most non-model and pest insect species, empirical evidence for predictable modulation of gene expression levels is lacking. This knowledge gap is critical for genetic control systems, particularly in mosquitoes, where transgenic methods offer novel routes for pest control. Commonly, the choice of RNA polymerase II promoter (Pol II) is the primary method for controlling gene expression, but the options are limited. To address this, we developed a systematic approach to characterize modifications in translation initiation sequences (TIS) and 3 untranslated regions (UTR) of transgenes, enabling the creation of a toolbox for gene expression modulation in mosquitoes and potentially other insects. The approach demonstrated highly predictable gene expression changes across various cell lines and promoter sequences, representing a significant advancement in mosquito synthetic biology gene expression. tools. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=100 SRC="FIGDIR/small/555539v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@1db954forg.highwire.dtl.DTLVardef@1279543org.highwire.dtl.DTLVardef@1b86fa2org.highwire.dtl.DTLVardef@1a9176a_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

CDK activity at the centrosome regulates the cell cycle

Cyclin-dependent kinases (CDKs) complexed with cyclins drive progression through the eukaryotic cell cycle. From yeast to human cells, cyclin-CDK localises to the centrosome, but the importance of this localisation is unclear. The conserved hydrophobic patch substrate docking site on human Cyclin B1 and on the equivalent fission yeast Cdc13 mediates their localisation to the centrosome and the spindle-pole body (SPB, yeast centrosome equivalent). A hydrophobic patch mutant (HPM) of Cdc13 cannot enter mitosis, but whether this mitotic defect is due to defective SPB localisation or defective cyclin-substrate docking is unknown. Here we show that artificially restoring Cdc13HPM SPB localisation in fission yeast partially rescues both mitosis and defective CDK substrate phosphorylation at both the SPB and within the cytoplasm. In addition, we found that an HPM of the S-phase cyclin Cig2 has defective SPB localisation but is still able to perform bulk DNA synthesis. Our results demonstrate that the hydrophobic patch mediates the SPB localisation of both S- and M-phase cyclins, and that Cdc13 SPB localisation is essential for mitotic entry and for full phosphorylation of CDK substrates, supporting the view that the centrosome plays a role as a signalling hub regulating CDK cell cycle control.

cell biology↗