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Structural Insight into Recognition of Plant Peptid Hormones by Receptors 被引量:2
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作者 Heqiao Zhang Zhifu Han +1 位作者 Wen Song Jijie Chai 《Molecular Plant》 SCIE CAS CSCD 2016年第11期1454-1463,共10页
Secreted signaling peptides or peptide hormones play crucial roles in plant growth and development through coordination of cell-cell communication. Perception of peptide hormones in plants generally relies on membrane... Secreted signaling peptides or peptide hormones play crucial roles in plant growth and development through coordination of cell-cell communication. Perception of peptide hormones in plants generally relies on membrane-localized receptor kinases (RKs). Progress has recently been made in structural elucidation of interactions between posttranslationally modified peptide hormones and RKs. The structural studies suggest conserved receptor binding and activation mechanisms of this type of peptide hormones involving their conserved C-termini. Here, we review these structural data and discuss how the conserved mecha- nisms can be used to match peptide-RK pairs. 展开更多
关键词 peptide hormones small signaling peptides receptor kinases ligand recognition posttranslationalmodifications
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B-cell Ligand Processing Pathways Detected by Large-scale Comparative Analysis
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作者 Fadi Towfic Shakti Gupta +1 位作者 Vasant Honavar Shankar Subramaniam 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2012年第3期142-152,共11页
The initiation of B-cell ligand recognition is a critical step for the generation of an immune response against foreign bodies. We sought to identify the biochemical pathways involved in the B-cell ligand recognition ... The initiation of B-cell ligand recognition is a critical step for the generation of an immune response against foreign bodies. We sought to identify the biochemical pathways involved in the B-cell ligand recognition cascade and sets of ligands that trigger similar immunological responses. We utilized several comparative approaches to analyze the gene coexpression networks generated from a set of microarray experiments spanning 33 different ligands. First, we compared the degree distributions of the generated networks. Second, we utilized a pairwise network alignment algorithm, BiNA, to align the networks based on the hubs in the networks. Third, we aligned the networks based on a set of KEGG pathways. We summarized our results by constructing a consensus hierarchy of pathways that are involved in B cell ligand recognition. The resulting pathways were further validated through literature for their common physiological responses. Col- lectively, the results based on our comparative analyses of degree distributions, alignment of hubs, and alignment based on KEGG path- ways provide a basis for molecular characterization of the immune response states of B-cells and demonstrate the power of comparative approaches (e.g., gene coexpression network alignment algorithms) in elucidating biochemical pathways involved in complex signaling events in ceils. 展开更多
关键词 ligand recognition B-CELLS Gene coexpression network alignment
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