Regulation of LncRNA00067110 on Proliferation, Apoptosis and Melanins Production of B16-F10 Cells by Targeting Cabyr / 中国生物化学与分子生物学报

Long non-coding RNA (lncRNA) is a type of non-coding RNA with the more than 200 nucleotides. Several lncRNAs have been identified as the potential targets for cancer therapy. LncRNA00067110 is one of the differentially expressed genes in the transcriptome profiles of melanoma B16-F10 cells compared to normal mice melanocytes. To investigate whether lncRNA00067110 regulates the proliferation, apoptosis and melanogenesis of B16-F10 cells, the calcium-binding tyrosine phosphorylation regulated protein (Cabyr) target gene was predicted by LncTar and verified by dual luciferase activities. The regulating function of lncRNA00067110 was investigated by the analysis of transcriptome profiles and to detect the proliferation, apoptosis and melanin production of B16-F10 cells transfected by the overexpression plasmids of lncRNA00067110. The results showed that the relationship of lncRNA00067110 targeting Cabyr, the mRNA and protein levels of proliferation (MEK/ERK/MNK/CREB) and melanogenesis-related genes (TYR family and CREB) were significantly down-regulated, while the mRNA and protein levels of apoptosis-related genes (AKT and Bcl-2) were up-regulated in B16-F10 cells with lncRNA00067110 overexpression. The transcriptome profile of B16-F10 cells with lncRNA00067110 overexpression showed that 17 genes were differentially expressed, among which Cabyr was up-regulated. Furthermore, the effect of lncRNA00067110 on the phenotypes of cell proliferation and apoptosis were verified. The results suggested that lncRNA00067110 might be a novel target for the treatment of melanoma by targeting Cabyr, which regulate the expression of related genes to inhibit the proliferation and melanogenesis, as well as to induce the apoptosis of B16-F10 cells.

The impact of agriculture trade and exchange rate on economic growth of Pakistan: an NARDL and asymmetric analysis approach / O impacto do comércio agrícola e da taxa decâmbio no crescimento econômico do Paquistão: uma abordagem de análise NARDL e assimétrica

ABSTRACT: This study contributes to the extant literature on the nexus among agriculture export, import exchange rate and economic growth in Pakistan. We used annual time series data for 1980-2017 and employ the Non-linear Autoregressive Distributed Lag (NARDL) model. The NARDL testing results affirms asymmetric co-integration among the variables. The study main results show: (i) Co-integration test for long run the positive shocks in export and import have positive significant while exchange rate has positive effect the economic growth. (ii) Co-integration test for short run the positive shocks in import has positive significant and while Export and exchange rate have negative significant effect on economic growth. The symmetrical results show: (i) Export has unidirectional granger causality (ii) Exchange rate has bidirectional granger causality (iii) Import has not ganger causality with economic growth. In addition, the results demonstrated that causality relationship can help out policy maker to design such policies which are useful to economic growth of Pakistan, which could further promote foreign trade to gain the maximum level of economic growth.

RESUMO: Este estudo contribui para a literatura existente sobre o nexo entre exportação agrícola, taxa de câmbio de importação e crescimento econômico no Paquistão. Utilizamos dados de séries temporais anuais para 1980-2017 e empregamos o modelo Não-linear Autoregressive Distributed Lag (NARDL). Os resultados dos testes NARDL afirmam a co-integração assimétrica entre as variáveis. Os principais resultados do estudo mostram: (i) no teste de co-integração de longo prazo, os choques positivos nas exportações e importações têm uma significância positiva, enquanto a taxa de câmbio afeta positivamente o crescimento econômico; (ii) Teste de co-integração para curto prazo, os choques positivos nas importações são positivos significativos e, enquanto a exportação e a taxa de câmbio têm um efeito negativo significativo no crescimento econômico. Os resultados simétricos mostram: (i) a exportação tem causalidade unidirecional sobre o crescimento ; (ii) a taxa de câmbio tem causalidade bidirecional sobre o crescimento ; (iii) a importação não tem causalidade sobre o crescimento econômico. Além disso, os resultados demonstraram que a relação de causalidade pode ajudar o formulador de políticas a elaborar políticas úteis ao crescimento econômico do Paquistão, o que poderia promover ainda mais o comércio exterior para obter o nível máximo de crescimento econômico.

Does Cereal crops asymmetrically affect Agriculture gross domestic product in Pakistan? Using NARDL model approach / As colheitas de cereais afetam assimetricamente o produto interno bruto da agricultura no Paquistão? Usando a abordagem do modelo NARDL

ABSTRACT: This study contributes to the extant literature on the nexus among rice, maize and wheat production with agriculture gross domestic product (AGDP) of Pakistan. We use time series data from 1970 to 2017 and employ the Non-linear Autoregressive Distributed Lag (NARDL) model. Short run and long run shocks between the selected variables and result's is checked through the co-integration and nonlinear error correction model.Autoregressive distributed lag bound testing approach for co-integration and to find the relationship between variables Granger causality test is applied.Our results confirm co-integration, positive shocks results show that rice, maize and wheat production have significantly influence on AGDP. The asymmetrically positive shocks of three crops have neutral effect on AGDP. While in symmetric results show the unidirectional effect between rice, maize production with AGDP and wheat production do not have ganger causality with AGDP. Finally, results depict that wheat, maize and rice production significantly contributes to agricultural GDP in the case of Pakistan.

RESUMO: Este estudo contribui para a literatura existente sobre o nexo entre a produção de arroz, milho e trigo com produto interno bruto agrícola (AGDP) do Paquistão. Utilizamos dados de séries temporais de 1970 a 2017 e empregamos o modelo NARDL (Non-linear Autoregressive Distributed Lag). Choques de curto e longo prazo entre as variáveis selecionadas e os resultados são verificados por meio do modelo de co-integração e correção não linear de erros. É aplicada uma abordagem de teste de atraso retardado distribuído autorregressivo para co-integração e para encontrar a relação entre variáveis. Nossos resultados confirmam a co-integração; os resultados de choques positivos mostram que a produção de arroz, milho e trigo influencia significativamente na AGDP. Os choques assimétricos positivos de três culturas têm efeito neutro no AGDP. Enquanto nos resultados simétricos mostram o efeito unidirecional entre o arroz, a produção de milho com AGDP e a produção de trigo não têm causalidade de ganger com AGDP. Finalmente, os resultados mostram que a produção de trigo, milho e arroz contribui significativamente para o PIB agrícola no caso do Paquistão.