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yang, h.

Publications and source records attributed to yang, h..

2 recordsLinked to original sources

The Plasmodiophora brassicae effector PbEGF1 manipulates plant immunity and regulate primary infection

Plasmodiophora brassicae causes a significant global threat to cruciferous vegetables and crops. However, the current comprehensions of its pathogenic ways is still unclear. This study identified a P. brassicae effector, called PbEGF1, which strongly induces cell death in N. benthamiana. Notably, PbEGF1 was significantly up-regulated in seedlings inoculated with highly virulent P. brassicae, indicating a pivotal role for PbEGF1 in pathogenicity. Furthermore, overexpression of PbEGF1 in hosts enhanced susceptibility to P. brassicae, and promoted elongation of root hairs, thus creating favorable conditions for root hair infection. Silencing of PbEGF1 reduced the pathogenicity of P. brassicae. This finding confirms the significance of primary infection in host recognition and interaction with P. brassicae. To further elucidate the virulence function of PbEGF1, we identified BnNHL13 (nonrace-specific disease resistance 1/harpin-induced 1-like 13) as its target protein. Silencing BnNHL13 enhanced host susceptibility to P. brassicae, and promoted root hairs elongation, indicating that down-regulation of BnNHL13 was more conducive to establishing P. brassicae infection. Subsequent investigation revealed that PbEGF1 has the ability to induce degradation of the BnNHL13 protein, thereby disrupting the host defense response and facilitating P. brassicae infection. Our findings provide novel insights into genetic strategies for enhancing plant resistance against clubroot disease.

pathology↗

Modelling cell type-specific lncRNA regulatory network in autism with Cycle

Autism spectrum disorder (ASD) is a class of complex neurodevelopment disorders with high genetic heterogeneity. Long non-coding RNAs (lncRNAs) are vital regulators that perform specific functions within diverse cell types and play pivotal roles in neurological diseases including ASD. Therefore, studying the specific regulation of lncRNAs in various cell types is crucial for deciphering ASD molecular mechanisms. Existing computational methods utilize bulk transcriptomics data across all of cells or samples, which could reveal the commonalities of lncRNA regulation in the pathogenesis of ASD, but ignore the specificity of lncRNA regulation across various cell types. Here, we present Cycle (Cell type-specific lncRNA regulatory network) to construct the landscape of cell type-specific lncRNA regulation in ASD. We have found that each ASD cell type is unique in lncRNA regulation, and more than one-third and all of cell type-specific lncRNA regulatory networks are characterized as scale-free and small-world, respectively. Across 17 ASD cell types, we have discovered 19 rewired and 11 conserved modules, and eight rewired and three conserved hubs underlying within the discovered cell type-specific lncRNA regulatory networks. Moreover, the discovered rewired and conserved modules and hubs are significantly enriched in ASD-related terms. Furthermore, more similar ASD cell types tend to be connected with higher strength in the constructed cell similarity network. Finally, the comparison results demonstrate that Cycle is a potential method for uncovering cell type-specific lncRNA regulation.

bioinformatics↗