Mingcong Li

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Nitrite-dependent anaerobic methane oxidation (n-damo) is performed by "Candidatus Methylomirabilis oxyfera" (M. oxyfera), which connects the carbon and nitrogen global nutrient cycles. In the present study, M. oxyfera-like bacteria sequences were successfully recovered from Yellow River Estuary sediments using specific primers for 16S rRNA and pmoA genes.(More)
Marine bacterioplankton communities have profound impact on global biogeochemical cycles and ecological balances. However, relatively little is known about the bacterioplankton communities and the factors shaping their spatial distribution in subtropical island. Here, the bacterioplankton communities around a typical subtropical island, Xiamen Island, were(More)
The development of novel therapeutic strategies for glioma requires the identification of molecular targets involved in malignancy. Pygopus (Pygo) is a new discovered and specific downstream component of canonical Wnt signaling. Our previous study has demonstrated that Pygo2 is highly expressed in and promotes the growth of glioma cells. However, the role(More)
There are close exchanges between sediment and water in estuaries; however, the patterns of prokaryotic community assembly in these two habitat types are still unclear. This study investigated the bacterial and archaeal abundance, diversity, and community composition in the sediment and the overlying water of the Yellow River estuary. Notably higher(More)
Denitrification is considered to be the critical process in removing reactive nitrogen in estuarine ecosystems. In the present study, the abundance, diversity, and community structure of nirK- and nirS-type denitrifiers were compared in sediments from the Yellow River estuary. Quantitative polymerase chain reaction showed that the 2 types of denitrifiers(More)
Since pre-processing and initial segmentation steps in medical images directly affect the final segmentation results of the regions of interesting, an automatic segmentation method of a parameter-adaptive pulse-coupled neural network is proposed to integrate the above-mentioned two segmentation steps into one. This method has a low computational complexity(More)
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