The GIRD COPD Biobank Study has the potential to provide substantial novel insights into the genetics, biomarkers, environmental and lifestyle aspects of COPD. It is expected to provide new insights for pathogenesis and the long-term progression of COPD.
ObjectiveStore operated calcium channels (SOCCs) and Receptor-operated calcium channels (ROCCs) are important pathways participating in regulation of intracellular Ca2 + concentration in various cell types. The purpose of our study is to determine whether genetic variations in key components of SOCCs and ROCCs are associated with lung cancer risk.MethodsWe identified 236 tagSNPs in 9 key genes related to SOCCs and ROCCs (TRPC1, TRPC3, TRPC4, TRPC6, TRPC7, ORAI1, ORAI2, STIM1, and STIM2) and evaluated their association with lung cancer risk in a two-stage case-control study with a total of 2433 lung cancer cases and 2433 cancer-free controls using Illumina high throughput genotyping platform.ResultsWe found consistently significant associations of TRPC4 rs9547991 and rs978156, and TRPC7 rs11748198 with increased risk of lung cancer among the three kinds of sources of populations (additive model in combined population: adjusted OR = 1.33, 95% CI = 1.11–1.59 for rs9547991; adjusted OR = 1.21, 95% CI = 1.08–1.35 for rs978156; and adjusted OR = 1.28, 95% CI = 1.10–1.47 for rs11748198). When combining the effects of TRPC7 rs11748198, and TRPC4 rs9547991 and rs978156, subjects carrying “≥ 1” variant alleles had a 1.29-fold increased risk of lung cancer (95% CI = 1.15–1.46), compared with those carrying “0” variant allele. Lung cancer risk significantly increased with the increasing number of variant alleles of the three SNPs in a dose-dependent manner (P for trend = 7.2 × 10− 7).ConclusionThese findings suggested that TRPC4 rs9547991 and rs978156, and TRPC7 rs11748198 were candidate susceptibility markers for lung cancer in Chinese population. Our study provides the epidemiological evidence supporting a connection between TRPC members and lung cancer risks.
Branched actin network supports cell migration through extracellular microenvironments. However, it is unknown how intracellular proteins adapt the elastic properties of the network to the highly varying extracellular resistance. Here we develop a three-dimensional assembling model to simulate the realistic self-assembling process of the network by encompassing intracellular proteins and their dynamic interactions. Combining this multiscale model with finite element method, we reveal that the network can not only sense the variation of extracellular resistance but also self-adapt its elastic properties through remodeling with intracellular proteins. Such resistance-adaptive elastic behaviours are versatile and essential in supporting cell migration through varying extracellular microenvironments. The bending deformation mechanism and anisotropic Poisson’s ratios determine why lamellipodia persistently evolve into sheet-like structures. Our predictions are confirmed by published experiments. The revealed self-adaptive elastic properties of the networks are also applicable to the endocytosis, phagocytosis, vesicle trafficking, intracellular pathogen transport and dendritic spine formation.
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