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Mitochondria, long viewed solely in the context of bioenergetics, are increasingly emerging as critical hubs for intracellular signaling. Due to their bacterial origin, mitochondria possess their own genome and carry unique lipid components that endow these organelles with specialized properties to help orchestrate multiple signaling cascades. Mitochondrial signaling modulates diverse pathways ranging from metabolism to redox homeostasis to cell fate determination. Here, we review recent progress in our understanding of how mitochondria serve as intracellular signaling platforms with a particular emphasis on lipid-mediated signaling, innate immune activation, and retrograde signaling. We further discuss how these signaling properties might potentially be exploited to develop new therapeutic strategies for a range of age-related conditions. RI-1 cell line © 2020 Tan and Finkel.Sterols are crucial components of biological membranes, which are synthetized in the ER and accumulate in the plasma membrane (PM). Here, by applying a genetically encoded sterol biosensor (D4H), we visualize a sterol flow between PM and endosomes in the fission yeast Schizosaccharomyces pombe. Using time-lapse and correlative light-electron microscopy, we found that inhibition of Arp2/3-dependent F-actin assembly promotes the reversible relocalization of D4H from the PM to internal sterol-rich compartments (STRIC) labeled by synaptobrevin Syb1. Retrograde sterol internalization to STRIC is independent of endocytosis or an intact Golgi, but depends on Ltc1, a LAM/StARkin-family protein localized to ER-PM contact sites. The PM in ltc1Δ cells over-accumulates sterols and upon Arp2/3 inhibition forms extended ER-interacting invaginations, indicating that sterol transfer contributes to PM size homeostasis. Anterograde sterol movement from STRIC is independent of canonical vesicular trafficking but requires Arp2/3, suggesting a novel role for this complex. Thus, transfer routes orthogonal to vesicular trafficking govern the flow of sterols in the cell. © 2020 Marek et al.Cotton leaf curl disease (CLCuD), caused by whitefly (Bemisiatabaci) transmitted single-stranded DNA viruses belonging to the Genus, Begomovirus (family, Geminiviridae) in association with satellite molecules; is responsible for major economic losses in cotton in three northwest (NW) Indian states Haryana, Punjab, and Rajasthan. Annual CLCuD incidences during 2012 to 2014 were estimated to be 37.5%, 63.6%, and 38.8% respectively. Cotton leaves were collected from symptomatic plants annually for three years and subjected to DNA isolation, followed by rolling circle amplification (RCA), cloning, and DNA sequencing of apparently full-length begomoviral genomes and associated betasatellites and alphasatellites. Among the thirteen CLCuD-begomoviral genomes recovered, eight were identified as Cotton leaf curl Multan virus-Rajasthan (CLCuMuV-Ra), one as -Pakistan (PK) and another as -Faisalabad (Fai), whereas, three were as Cotton leaf curl Kokhran virus-Burewala (CLCuKoV-Bu), indicating that CLCuMuV-Ra was the most prevalent begomovirus species. Five of the eight CLCuMuV-Ra sequences were found to be recombinants. The CLCuMuV-Ra- associated satellites consisted of Cotton leaf curl Multan betasatellite (CLCuMB), and Gossypium darwinii symptomless alphasatellite (GDarSLA), and Croton yellow vein mosaic alphasatellite (CrYVMoA). The second most abundant helper virus species, CLCuKoV-Bu, was associated with CLCuMB and GDarSLA.[This corrects the article DOI 10.1371/journal.pone.0205472.].INTRODUCTION Hepatitis B virus infection is a global public health problem. Though, the disease is endemic in sub-Saharan Africa, little is known about its epidemiology among pregnant women in Ghana. This study sought to determine the seroprevalence of Hepatitis B virus infection and associated factors among pregnant women attending antenatal care at Korle-Bu Teaching Hospital; Ghana's largest hospital. METHODS We conducted a facility-based cross-sectional survey among 232 antenatal attendants. Participants were recruited using systematic random sampling technique and screened with HBsAg Rapid Test. Data was analyzed with the aid of Statistical Package for Social Sciences (SPSS), version 23.0. Results were presented using descriptive statistics, Fisher's Exact test and Logistic Regression analysis. RESULTS Two hundred and twenty-one (221) of the total sample (n = 232) agreed to participate in this study; representing a response rate of 95%. The mean age of the participants was 31 years and standard deviation of 5.3. The mean gestational period at recruitment was 28 weeks and standard deviation of 6.8. Majority of the participants were married (83.3%), parous (69.6%), educated (91.4%) and employed (90.5%). The prevalence of HBsAg was 7.7%. We found no significant association between socio-demographic characteristics of the participants and HBV infection. CONCLUSION Seroprevalence of 7.7% indicates moderate endemicity. Socio-demographic characteristics did not influence HBV infection among pregnant women attending antenatal care at Korle-Bu Teaching Hospital. The findings provide empirical evidence that will contribute to knowledge of HBV epidemiology in Ghana.OBJECTIVE China is emerging as an increasingly important player in the global development space, but may be less bound to compacts that aim to curb political preferencing and therefore may produce less yield in terms of impact toward Sustainable Development Goals. This research tests the hypothesis that the disproportionate aid allocation to the birth regions of the current African political leaders that applies to some sectors more than others. DESIGN We applied a two-part model to first estimate the probability that a region receives an aid project. Then when at least one aid project is present in a leader's birth region, we estimated the mean amount of aid the region received. SETTING This analysis covers 699 subnational units (first administrative level) across 44 African countries over 2000-2014. These administrative units were compiled into a region year panel resulting in 10,485 observations. RESULTS Birth regions of the current political leader are significantly more likely than the average of all of the regions to receive education (1.
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