3 research outputs found

    LPAIV H9N2 drives the differential expression of goose interferons and proinflammatory cytokines in both in vitro and in vivo studies

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    Geese, as aquatic birds, are an important natural reservoir of avian influenza virus (AIV). To characterize the innate antiviral immune response against AIV H9N2 strain infection in geese as well as the probable relationship between the expression of immune-related genes and the distribution of viral antigens, we investigated the levels of immune-related gene transcription both in AIV H9N2 strain-infected geese and in vitro. The patterns of viral location and the tissue distribution of CD4- and CD8α-positive cells were concurrently detected by immunohistochemical staining, which revealed respiratory and digestive organs as the primary sites of antigen-positive signals. Average AIV H9N2 viral loads were detected in the faeces, Harderian gland and trachea, where higher copy numbers were detected compared with the rectum. Our results suggested the strong induction of proinflammatory cytokine expression compared with interferons (IFNs). Notably, in most tissues from the AIV H9N2 strain-infected birds, IFNα and IFNγ gene transcripts were differentially expressed. However, inverse changes in IFNα and IFNγ expression after AIV H9N2 strain infection were observed in vitro. Taken together, the results suggest that AIV H9N2 is widely distributed in multiple tissues, efficiently induces inflammatory cytokines in the Harderian gland and spleen of goslings and inversely influences type I and II IFN expression both in vivo and in vitro. The findings of this study further our understanding of host defence mechanisms and the pathogenesis of the H9N2 influenza virus in geese

    Taiwanese political parties can be categorized by face, by those who reported making face-to-trait inferences

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    The present study aims to replicate and extend Rule & Ambady (2010)’s findings that Republicans and Democrats could be differentiated by face. In Experiment 1, undergraduates categorized 50 gray-scale full-face photos of candidates of the two major political parties in Taiwan, the Kuomingtang (KMT) and the Democratic Progressive Party (DPP). Using identical stimuli and procedure, Experiment 2 tested 25- to 57-year-olds. Experiment 3 tested undergraduates with cropped photos, Experiment 4, with photos devoid of the mouth and chin area. At the end of each Experiment, we interviewed the participants about the strategies used. Results showed that undergraduates could categorize KMT and DPP with accuracies significantly higher than chance in full-face photos (Exp.1), M = .524, p = .045, cropped photos (Exp.3), M = .534, p = .016, and photos devoid of the mouth-and-chin area (Exp.4), M = .530, p = .048. Adults aged between 25 and 57 could also categorize full-face photos (Exp.2), M = .557, p < .001. Analysis on strategy use revealed that the better-than-chance performance may be a unique contribution of those who reported making face-to-trait inferences. In sum, we replicated Rule and Ambady’s (2010) results in East Asian and found that face-to-trait inferences may be essential

    Next-generation transgenic mice for optogenetic analysis of neural circuits

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    Here we characterize several new lines of transgenic mice useful for optogenetic analysis of brain circuit function. These mice express optogenetic probes, such as enhanced halorhodopsin or several different versions of channelrhodopsins, behind various neuron-specific promoters. These mice permit photoinhibition or photostimulation both in vitro and in vivo. Our results also reveal the important influence of fluorescent tags on optogenetic probe expression and function in transgenic mice
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