Christiansencovington1362

Some mammalian tissues uniquely concentrate carotenoids, but the underlying biochemical mechanism for this accumulation has not been fully elucidated. For instance, the central retina of the primate eyes displays high levels of the carotenoids, lutein, and zeaxanthin, whereas the pigments are largely absent in rodent retinas. We previously identified the scavenger receptor class B type 1 and the enzyme β-carotene-oxygenase-2 (BCO2) as key components that determine carotenoid concentration in tissues. We now provide evidence that Aster (GRAM-domain-containing) proteins, recently recognized for their role in nonvesicular cholesterol transport, engage in carotenoid metabolism. Our analyses revealed that the StART-like lipid binding domain of Aster proteins can accommodate the bulky pigments and bind them with high affinity. We further showed that carotenoids and cholesterol compete for the same binding site. We established a bacterial test system to demonstrate that the StART-like domains of mouse and human Aster proteins can extract carotenoids from biological membranes. Mice deficient for the carotenoid catabolizing enzyme BCO2 concentrated carotenoids in Aster-B protein-expressing tissues such as the adrenal glands. Remarkably, Aster-B was expressed in the human but not in the mouse retina. Within the retina, Aster-B and BCO2 showed opposite expression patterns in central versus peripheral parts. Together, our study unravels the biochemical basis for intracellular carotenoid transport and implicates Aster-B in the pathway for macula pigment concentration in the human retina.Scientists prominently argue that the COVID-19 pandemic stems not least from people’s inability to understand exponential growth. They increasingly cite evidence from a classic psychological experiment published some 45 years prior to the first case of COVID-19. Despite—or precisely because of—becoming such a canonical study (more often cited than read), its critical design flaws went completely unnoticed. They are discussed here as a cautionary tale against uncritically enshrining unsound research in the “lore” of a field of research. In hindsight, this is a unique case study of researchers falling prey to just the cognitive bias they set out to study—undermining an experiment’s methodology while, ironically, still supporting its conclusion.Microbial communities often face external perturbations that can induce lasting changes in their composition and functions. Our understanding of how multispecies communities respond to perturbations such as antibiotics is limited, with susceptibility assays performed on individual, isolated species our primary guide in predicting community transitions. Here, we studied how bacterial growth dynamics can overcome differences in antibiotic susceptibility in determining community resilience the recovery of the original community state following antibiotic exposure. selleck products We used an experimental community containing Corynebacterium ammoniagenes and Lactobacillus plantarum that displays two alternative stable states as a result of mutual inhibition. Although C. ammoniagenes was more susceptible to chloramphenicol in monocultures, we found that chloramphenicol exposure nonetheless led to a transition from the L. plantarum-dominated to the C. ammoniagenes-dominated community state. Combining theory and experiments, we demonstrated that growth rate differences between the two species made the L. plantarum-dominated community less resilient to several antibiotics with different mechanisms of action. Taking advantage of an observed cooperativity—a dependence on population abundance—in the growth of C. ammoniagenes, we next analyzed in silico scenarios that could compromise the high resilience of the C. ammoniagenes-dominated state. The model predicted that lowering the dispersal rate, through interacting with the growth at low population densities, could make the C. ammoniagenes state fragile against virtually any kind of antibiotic, a prediction that we confirmed experimentally. Our results highlight that species susceptibility to antibiotics is often uninformative of community resilience, as growth dynamics in the wake of antibiotic exposure can play a dominant role.Regional inequality is known to magnify sensitivity to social rank. This, in turn, is shown to increase people’s propensity to acquire luxury goods as a means to elevate their perceived social status. Yet existing research has focused on broad, aggregated datasets, and little is known about how individual-level measures of income interact with inequality within peer groups to affect status signaling. Using detailed financial transaction data, we construct 32,008 workplace peer groups and explore the longitudinal spending and salary data associated with 683,677 individuals. These data reveal links between people’s status spending, their absolute salary, salary rank within their workplace peer group, and the inequality of their workplace salary distribution. Status-signaling luxury spending is found to be greatest among those who have higher salaries, whose workplaces exhibit higher inequality, and who occupy a lower rank position within the workplace. We propose that low-rank individuals in unequal workplaces suffer status anxiety and, if they can afford it, spend to signal higher status.Cancer and chronic infections often increase levels of the bioactive lipid, lysophosphatidic acid (LPA), that we have demonstrated acts as an inhibitory ligand upon binding LPAR5 on CD8 T cells, suppressing cytotoxic activity and tumor control. This study, using human and mouse primary T lymphocytes, reveals how LPA disrupts antigen-specific CD8 T celltarget cell immune synapse (IS) formation and T cell function via competing for cytoskeletal regulation. Specifically, we find upon antigen-specific T celltarget cell formation, IP3R1 localizes to the IS by a process dependent on mDia1 and actin and microtubule polymerization. LPA not only inhibited IP3R1 from reaching the IS but also altered T cell receptor (TCR)–induced localization of RhoA and mDia1 impairing F-actin accumulation and altering the tubulin code. Consequently, LPA impeded calcium store release and IS-directed cytokine secretion. Thus, targeting LPA signaling in chronic inflammatory conditions may rescue T cell function and promote antiviral and antitumor immunity.Estrogen receptor α (ERα) is a transcription factor that induces cell proliferation and exhibits increased expression in a large subset of breast cancers. The molecular mechanisms underlying the up-regulation of ERα activity, however, remain poorly understood. We identified FK506-binding protein 52 (FKBP52) as a factor associated with poor prognosis of individuals with ERα-positive breast cancer. We found that FKBP52 interacts with breast cancer susceptibility gene 1 and stabilizes ERα, and is essential for breast cancer cell proliferation. FKBP52 depletion resulted in decreased ERα expression and proliferation in breast cancer cell lines, including MCF7-derived fulvestrant resistance (MFR) cells, suggesting that inhibiting FKBP52 may provide a therapeutic effect for endocrine therapy–resistant breast cancer. In contrast, FKBP51, a closely related molecule to FKBP52, reduced the stability of ERα. Consistent with these findings, FKBP51 was more abundantly expressed in normal tissues than in cancer cells, suggesting that these FKBPs may function in the opposite direction. Collectively, our study shows that FKBP52 and FKBP51 regulate ERα stability in a reciprocal manner and reveals a regulatory mechanism by which the expression of ERα is controlled.GPR126 is a member of the adhesion G protein-coupled receptors (aGPCRs) that is essential for the normal development of diverse tissues, and its mutations are implicated in various pathological processes. Here, through screening 34 steroid hormones and their derivatives for cAMP production, we found that progesterone (P4) and 17-hydroxyprogesterone (17OHP) could specifically activate GPR126 and trigger its downstream Gi signaling by binding to the ligand pocket in the seven-transmembrane domain of the C-terminal fragment of GPR126. A detailed mutagenesis screening according to a computational simulated structure model indicated that K1001ECL2 and F1012ECL2 are key residues that specifically recognize 17OHP but not progesterone. Finally, functional analysis revealed that progesterone-triggered GPR126 activation promoted cell growth in vitro and tumorigenesis in vivo, which involved Gi-SRC pathways in a triple-negative breast cancer model. Collectively, our work identified a membrane receptor for progesterone/17OHP and delineated the mechanisms by which GPR126 participated in potential tumor progression in triple-negative breast cancer, which will enrich our understanding of the functions and working mechanisms of both the aGPCR member GPR126 and the steroid hormone progesterone.The RNA-binding protein RIG-I is a key initiator of the antiviral innate immune response. The signaling that mediates the antiviral response downstream of RIG-I is transduced through the adaptor protein MAVS and results in the induction of type I and III interferons (IFNs). This signal transduction occurs at endoplasmic reticulum (ER)–mitochondrial contact sites, to which RIG-I and other signaling proteins are recruited following their activation. RIG-I signaling is highly regulated to prevent aberrant activation of this pathway and dysregulated induction of IFN. Previously, we identified UFL1, the E3 ligase of the ubiquitin-like modifier conjugation system called ufmylation, as one of the proteins recruited to membranes at ER–mitochondrial contact sites in response to RIG-I activation. Here, we show that UFL1, as well as the process of ufmylation, promote IFN induction in response to RIG-I activation. We found that following RNA virus infection, UFL1 is recruited to the membrane-targeting protein 14–3-3ε and that this complex is then recruited to activated RIG-I to promote downstream innate immune signaling. Importantly, we found that 14–3-3ε has an increase in UFM1 conjugation following RIG-I activation. Additionally, loss of cellular ufmylation prevents the interaction of 14–3-3ε with RIG-I, which abrogates the interaction of RIG-I with MAVS and thus the downstream signal transduction that induces IFN. Our results define ufmylation as an integral regulatory component of the RIG-I signaling pathway and as a posttranslational control for IFN induction.Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hub (https//covid19forecasthub.org/) collected, disseminated, and synthesized tens of millions of specific predictions from more than 90 different academic, industry, and independent research groups. A multimodel ensemble forecast that combined predictions from dozens of groups every week provided the most consistently accurate probabilistic forecasts of incident deaths due to COVID-19 at the state and national level from April 2020 through October 2021. The performance of 27 individual models that submitted complete forecasts of COVID-19 deaths consistently throughout this year showed high variability in forecast skill across time, geospatial units, and forecast horizons.