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Data on stocks and flows of international migration are necessary to understand migrant patterns and trends and to monitor and evaluate migration-relevant international development agendas. Many countries do not publish data on bilateral migration flows. At least six methods have been proposed recently to estimate bilateral migration flows between all origin-destination country pairs based on migrant stock data published by the World Bank and United Nations. We apply each of these methods to the latest available stock data to provide six estimates of five-year bilateral migration flows between 1990 and 2015. To assess the resulting estimates, we correlate estimates of six migration measures from each method with equivalent reported data where possible. Such systematic efforts at validation have largely been neglected thus far. We show that the correlation between the reported data and the estimates varies widely among different migration measures, over space, and over time. We find that the two methods using a closed demographic accounting approach perform consistently better than the four other estimation approaches.

The AAA proteins are a family of enzymes that play key roles in diverse dynamic cellular processes, ranging from proteostasis to directional intracellular transport. Dysregulation of AAA proteins has been linked to several diseases, including cancer, suggesting a possible therapeutic role for inhibitors of these enzymes. In the past decade, new chemical probes have been developed for AAA proteins including p97, dynein, midasin, and ClpC1. In this review, we discuss how these compounds have been used to study the cellular functions and conformational dynamics of AAA proteins. We discuss future directions for inhibitor development and early efforts to utilize AAA protein inhibitors in the clinical setting.

Antigen presentation is the key first step in the establishment of an

Background: IL-23 contributes to the activation, maintenance, and proliferation of TH17 cells and plays a major role in psoriasis pathophysiology. IL-23p19 inhibition with risankizumab resulted in superior clinical responses in patients with psoriasis compared with ustekinumab (dual IL-12/IL-23 inhibitor), but comparative molecular effects have not been established. Objective: We investigated the similarities and differences in molecular and histopathologic profiles in skin lesions from patients with psoriasis receiving risankizumab versus ustekinumab at an early time point. Methods: Lesional skin biopsy samples from 81 patients with moderate-to-severe plaque psoriasis participating in 2 different studies (a phase I risankizumab study and a phase II study of risankizumab vs ustekinumab) were analyzed by using histopathology, immunohistochemistry, and RNA sequencing. Results: Risankizumab induced a rapid decrease in levels of proteins and transcriptomic biomarkers associated with the IL-23 pathway, which were maintained through 8 weeks. At week 4, risankizumab decreased histopathologic expression of biomarkers, including K16, Ki67, CD3, lipocalin-2, CD11c, dendritic cell lysosome-associated membrane glycoprotein, beta-defensin 2, and S100A7; global histopathologic scoring revealed that 54% and 69% of patients treated with 90 or 180 mg of risankizumab, respectively, were graded as experiencing "excellent improvement'' versus 29% of patients treated with ustekinumab. At week 4, there was a common decrease in expression of 2645 genes expressed in lesional skin between patients receiving risankizumab and ustekinumab and a significant decrease in 2682 genes unique to risankizumab treatment. Risankizumab more strongly downregulated expression of genes associated with keratinocytes, epidermal cells, and monocytes, versus ustekinumab. Conclusion: Risankizumab demonstrated more pronounced changes in the molecular and histopathologic profile of psoriatic skin lesions compared with ustekinumab at week 4.

Understanding essential signaling network requirements and making appropriate adjustments in culture conditions are crucial if porcine pluripotent stem cells (PSC) are to achieve their full potential. Here, we first used two protein factors (LIF and FGF2) and kinase inhibitor combinations in attempts to convert primed type lentiviral-reprogrammed porcine induced PSC (Lv-piPSC) into naive-like state and developed a medium called FL6i. In addition to FGF2 and LIF, this medium contained inhibitors of MAPK14, MAPK8, TGFB1, MAP2K1, GSK3A and BMP. Crucially, the usual TGFB1 and BMP4 protein components of many stem cell media were replaced in FL6i with inhibitors of TGFB1 and BMP. With this medium, Lv-piPSC were readily transformed from their original primed state into cells that formed colonies with typical features of naive-state stem cells. The FL6i medium also assisted generation of naive-type piPSC lines from porcine embryonic fibroblasts with non-integrating episomal plasmids (Epi-piPSC). These lines, despite retaining variable amounts of vector DNA, expressed higher endogenous pPOU5F1 and pSOX2 than Lv-piPSC. They have been cultured without obvious morphological change for > 45 passages and retained pluripotent phenotypes in terms of upregulation of genes associated with pluripotency, low expression of genes linked to emergence of somatic cell lineages, and ability to generate well differentiated teratomas in immune-compromised mice. FL6i conditions, therefore, appear to support elevated pluripotent phenotypes. However, FL6i was less able to support the generation of embryonic stem cells from porcine blastocysts. Although colonies with dome-shaped morphologies were evident and the cells had some gene expression features linked to pluripotency, the phenotypes were ultimately not stable. Pathway analysis derived from RNAseq data performed on the various cell lines generated in this study suggest the benefits of employing the FL6i medium on porcine cells reside in its ability to minimize TGFB1 and BMP signaling, which would otherwise de-stabilize the stem cell state.

We address the challenge of detecting the contribution of noncoding mutations to disease with a deep-learning-based framework that predicts the specific regulatory effects and the deleterious impact of genetic variants. Applying this framework to 1,790 autism spectrum disorder (ASD) simplex families reveals a role in disease for noncoding mutations-ASD probands harbor both transcriptional- and post-transcriptional-regulation-disrupting de novo mutations of significantly higher functional impact than those in unaffected siblings. Further analysis suggests involvement of noncoding mutations in synaptic transmission and neuronal development and, taken together with previous studies, reveals a convergent genetic landscape of coding and noncoding mutations in ASD. We demonstrate that sequences carrying prioritized mutations identified in probands possess allele-specific regulatory activity, and we highlight a link between noncoding mutations and heterogeneity in the IQ of ASD probands. Our predictive genomics framework illuminates the role of noncoding mutations in ASD and prioritizes mutations with high impact for further study, and is broadly applicable to complex human diseases.

Clustered, regularly interspaced, short palindromic repeat (CRISPR) loci in prokaryotes are composed of 30-40-base-pair repeats separated by equally short sequences of plasmid and bacteriophage origin known as spacers(1-3). These loci are transcribed and processed into short CRISPR RNAs (crRNAs) that are used as guides by CRISPR-associated (Cas) nucleases to recognize and destroy complementary sequences (known as protospacers) in foreign nucleic acids(4,5). In contrast to most Cas nucleases, which destroy invader DNA(4-7), the type VI effector nuclease Cas13 uses RNA guides to locate complementary transcripts and catalyse both sequence-specific cis-and non-specific trans-RNA cleavage(8). Although it has been hypothesized that Cas13 naturally defends against RNA phages(8), type VI spacer sequences have exclusively been found to match the genomes of double-stranded DNA phages(9,10), suggesting that Cas13 can provide immunity against these invaders. However, whether and how Cas13 uses its cis- and/or trans-RNA cleavage activities to defend against double-stranded DNA phages is not understood. Here we show that trans-cleavage of transcripts halts the growth of the host cell and is sufficient to abort the infectious cycle. This depletes the phage population and provides herd immunity to uninfected bacteria. Phages that harbour target mutations, which easily evade DNA-targeting CRISPR systems(11-13), are also neutralized when Cas13 is activated by wild-type phages. Thus, by acting on the host rather than directly targeting the virus, type VI CRISPR systems not only provide robust defence against DNA phages but also prevent outbreaks of CRISPR-resistant phage.

The cyclic GMP-AMP synthase (cGAS)-cGAMP-STING pathway plays a key role in innate immunity, with cGAS sensing both pathogenic and mislocalized DNA in the cytoplasm. Human cGAS (h-cGAS) constitutes an important drug target for control of antiinflammatory responses that can contribute to the onset of autoimmune diseases. Recent studies have established that the positively charged N-terminal segment of cGAS contributes to enhancement of cGAS enzymatic activity as a result of DNA-induced liquid-phase condensation. We have identified an additional cGAS(CD)-DNA interface (labeled site-C; CD, catalytic domain) in the crystal structure of a human SRY.cGAS(CD)-DNA complex, with mutations along this basic site-C cGAS interface disrupting liquid-phase condensation, as monitored by cGAMP formation, gel shift, spin-down, and turbidity assays, as well as time-lapse imaging of liquid droplet formation. We expand on an earlier ladder model of cGAS dimers bound to a pair of parallel-aligned DNAs to propose a multivalent interaction-mediated cluster model to account for DNA-mediated condensation involving both the N-terminal domain of cGAS and the site-C cGAS-DNA interface. We also report the crystal structure of the h-cGAS(CD)-DNA complex containing a triple mutant that disrupts the site-C interface, with this complex serving as a future platform for guiding cGAS inhibitor development at the DNA-bound h-cGAS level. Finally, we solved the structure of RU.521 bound in two alternate alignments to apo h-cGAS(CD), thereby occupying more of the catalytic pocket and providing insights into further optimization of active-site-binding inhibitors.

Animals rely on the relative timing of events in their environment to form and update predictive associations, but the molecular and circuit mechanisms for this temporal sensitivity remain incompletely understood. Here, we show that olfactory associations in Drosophila can be written and reversed on a trial-by-trial basis depending on the temporal relationship between an odor cue and dopaminergic reinforcement. Through the synchronous recording of neural activity and behavior, we show that reversals in learned odor attraction correlate with bidirectional neural plasticity in the mushroom body, the associative olfactory center of the fly. Two dopamine receptors, DopR1 and DopR2, contribute to this temporal sensitivity by coupling to distinct second messengers and directing either synaptic depression or potentiation. Our results reveal how dopamine-receptor signaling pathways can detect the order of events to instruct opposing forms of synaptic and behavioral plasticity, allowing animals to flexibly update their associations in a dynamic environment.