Myc-binding Protein Orthologue Interacts with AKAP240 In the Central Pair Apparatus of the \u3cem\u3eChlamydomonas\u3c/em\u3e Flagella

Background Flagella and cilia are fine thread-like organelles protruding from cells that harbour them. The typical ‘9 + 2’ cilia confer motility on these cells. Although the mechanistic details of motility remain elusive, the dynein-driven motility is regulated by various kinases and phosphatases. A-kinase anchoring proteins (AKAPs) are scaffolds that bind to a variety of such proteins. Usually, they are known to possess a dedicated domain that in vitro interacts with the regulatory subunits (RI and RII) present in the cAMP-dependent protein kinase (PKA) holoenzyme. These subunits conventionally harbour contiguous stretches of a.a. residues that reveal the presence of the Dimerization Docking (D/D) domain, Catalytic interface domain and cAMP-Binding domain. The Chlamydomonas reinhardtii flagella harbour two AKAPs; viz., the radial spoke AKAP97 or RSP3 and the central pair AKAP240. Both these were identified on the basis of their RII-binding property. Interestingly, AKAP97 binds in vivo to two RII-like proteins (RSP7 and RSP11) that contain only the D/D domain. Results We found a Chlamydomonas Flagellar Associated Protein (FAP174) orthologous to MYCBP-1, a protein that binds to organellar AKAPs and Myc onco-protein. An in silico analysis shows that the N-terminus of FAP174 is similar to those RII domain-containing proteins that have binding affinities to AKAPs. Binding of FAP174 was tested with the AKAP97/RSP3 using in vitro pull down assays; however, this binding was rather poor with AKAP97/RSP3. Antibodies were generated against FAP174 and the cellular localization was studied using Western blotting and immunoflourescence in wild type and various flagella mutants. We show that FAP174 localises to the central pair of the axoneme. Using overlay assays we show that FAP174 binds AKAP240 previously identified in the C2 portion of the central pair apparatus. Conclusion It appears that the flagella of Chlamydomonas reinhardtii contain proteins that bind to AKAPs and except for the D/D domain, lack the conventional a.a. stretches of PKA regulatory subunits (RSP7 and RSP11). We add FAP174 to this growing list

Effect of Feed-Stream Configuration on Gas-Phase Chlorination Reactor Performance

Chlorination of hydrocarbons is an industrially important process used for the production of commercially viable environmentally friendly chemicals. The highly exothermic nature of these reactions necessitates a thorough study of reactor stability and product feasibility. Here, computational fluid dynamics (CFD) is used to analyze the performance of a coaxial rightcylindrical insulated reactor for different inlet flow configurations. Chlorination reactions involve a large number of radicals and other intermediates, and hence, direct simulations using traditional CFD techniques are difficult because of the stiff nature of the reaction scheme involved. A novel algorithm for reaction computation, in situ adaptive tabulation (ISAT), is used to obtain considerable computational gains. The joint probability density function (JPDF) transport equation for the scalars with closed terms for reaction is solved using a Monte Carlo particle algorithm in tandem with a finite-volume (FV) Reynolds-averaged Navier-Stokes (RANS) method. The particle method handles transport of 15 scalars along with enthalpy and feeds back mean field values of temperature and molecular weight that are used by the FV code to correct the flow for reaction. The scalar scatter plots conditioned on the mixture fraction are used to study the details of the kinetics in different reactor zones. Comparison of premixed and segregated inlets is done to determine reactor stability and product yield. Conclusions are then drawn about fundamental properties of the reactor and broad considerations for reactor design

Membrane transporter dimerization driven by differential lipid solvation energetics of dissociated and associated states

Over two-thirds of integral membrane proteins of known structure assemble into oligomers. Yet, the forces that drive the association of these proteins remain to be delineated, as the lipid bilayer is a solvent environment that is both structurally and chemically complex. In this study, we reveal how the lipid solvent defines the dimerization equilibrium of the CLC-ec1 C

Towards continuous deracemization via racemic crystal transformation monitored by in-situ Raman spectroscopy

In this work, we demonstrate a semi-batch solid-state deracemization process for N-(2- chlorobenzylidene)-phenylglycine amide (NCPA), a complex chiral polymorphic system that involves three types of crystalline racemates (racemic compound and conglomerate forms I and II). In this process, gradually fed metastable racemic compound crystals are converted in situ to crystals of the preferred (seeded) enantiomer under grinding conditions through a series of solvent- mediated transformations in a racemizing solution. The phase diagram for this system shows that while conglomerate form II is stable at the conditions examined (acetonitrile at 21°C), form I crystals of a single enantiomer (used as seeds) are unstable at (nearly) racemic compositions and convert to the racemic compound upon addition of the racemization catalyst. Thus, care needs to be exercised in order to fully convert form I to form II before addition of the racemization catalyst in order to prevent the undesired crystallization of the racemic compound. This can be achieved by adding a small amount of water, which is found to enhance the nucleation and growth kinetics of the most stable conglomerate form II, eventually leading to complete deracemization. Importantly, we show that this special deracemization process can be easily monitored online by Raman spectroscopy, which gives access to the evolution of the solid phase composition. For the studied system, this information can in turn be used to directly estimate the solid-phase enantiomeric excess online throughout the process, as long as conglomerate crystals of the counter enantiomer do not form

Exposure to Apoptotic Activated CD4+ T Cells Induces Maturation and APOBEC3G- Mediated Inhibition of HIV-1 Infection in Dendritic Cells

Dendritic cells (DCs) are activated by signaling via pathogen-specific receptors or exposure to inflammatory mediators. Here we show that co-culturing DCs with apoptotic HIV-infected activated CD4+ T cells (ApoInf) or apoptotic uninfected activated CD4+ T cells (ApoAct) induced expression of co-stimulatory molecules and cytokine release. In addition, we measured a reduced HIV infection rate in DCs after co-culture with ApoAct. A prerequisite for reduced HIV infection in DCs was activation of CD4+ T cells before apoptosis induction. DCs exposed to ApoAct or ApoInf secreted MIP-1α, MIP-1β, MCP-1, and TNF-α; this effect was retained in the presence of exogenous HIV. The ApoAct-mediated induction of co-stimulatory CD86 molecules and reduction of HIV infection in DCs were partially abrogated after blocking TNF-α using monoclonal antibodies. APOBEC3G expression in DCs was increased in co-cultures of DCs and ApoAct but not by apoptotic resting CD4+ T cells (ApoRest). Silencing of APOBEC3G in DC abrogated the HIV inhibitory effect mediated by ApoAct. Sequence analyses of an env region revealed significant induction of G-to-A hypermutations in the context of GG or GA dinucleotides in DNA isolated from DCs exposed to HIV and ApoAct. Thus, ApoAct-mediated DC maturation resulted in induction of APOBEC3G that was important for inhibition of HIV-infection in DCs. These findings underscore the complexity of differential DC responses evoked upon interaction with resting as compared with activated dying cells during HIV infection

The United States COVID-19 Forecast Hub dataset

Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages