IgA Protease Produced by Streptococcus sanguis and Antibody Production against IgA Protease in Patients with Behçet's Disease

The production of IgA protease in twelve strains of Streptococcus sanguis isolated from patients with Behçet's disease (BD) was examined. Protease activity was detected in 10 out of 12 strains. The protease was purified from one representative strain, S. sanguis 113–20, by employing Rotofor and DEAE-Sephacel chromatography. The molecular mass of the purified protease was approximately 100 kDa, and it cleaved the proline-threonine site of the IgA. Both IgG and IgA titers against the cells (113–20) and the purified IgA protease in the sera of BD patients and healthy controls, 36 each, were assayed. The IgG titers against the cells and protease were not significant in the BD patients or controls, but the IgA titers against the cells and protease in the BD patients were significantly higher than those of the controls. These data indicate that the BD patients are infected with IgA protease-producing S. sanguis strains, which cause an increase of IgA titer against these organisms and IgA protease antigen. Since the organisms can proliferate in BD patients for a long period of time (years), it seems that IgA antibodies cannot effectively eliminate the organisms.     

Induction of cysteine and serine proteases during xylogenesis in Zinnia elegans

The terminal process of xylogenesis, autolysis, is essential for the formation of a tubular system for conduction of water and solutes throughout the whole plant. Several hydrolase types are implicated in autolysis responsible for the breakdown of cytoplasm. Here, we characterize p48h-17 cDNA from in vitro tracheary elements (TEs) of Zinnia elegans which encodes a preproprotein similar to papain. The putative mature protein, a cysteine protease, has a molecular mass of 22,699 Da with a pI of 5.7. DNA gel blot analysis indicated that p48h-17 is likely encoded by one or two genes. The p48h-17 mRNA accumulated markedly in in vitro differentiating TEs, whereas it appeared not to be induced in response to senescence and wounding in the leaves or H₂O₂ challenge in the cultured mesophyll cells. In stems, the expression of the p48h-17 gene was preferentially associated with differentiating xylem. Activity gel assays demonstrated that a cysteine and a serine protease, which had apparent molecular masses of 20 kDa and 60 kDa, respectively, were markedly induced during in vitro TE differentiation. The cysteine protease activity was also preferentially present in the xylem of Zinnia stems. Transient expression of the p48h-17 cDNA in tobacco protoplasts resulted in the production of a 20 kDa cysteine protease. Taken together, the results indicate that the p48h-17 gene appears to be preferentially associated with xylogenesis, and both the cysteine and serine proteases might be involved in autolysis during xylogenesis.     

Phenylpiperidine-type γ-secretase modulators target the transmembrane domain 1 of presenilin 1

Amyloid-β peptide ending at the 42nd residue (Aβ42) is implicated in the pathogenesis of Alzheimer's disease (AD). Small compounds that exhibit selective lowering effects on Aβ42 production are termed γ-secretase modulators (GSMs) and are deemed as promising therapeutic agents against AD, although the molecular target as well as the mechanism of action remains controversial. Here, we show that a phenylpiperidine-type compound GSM-1 directly targets the transmembrane domain (TMD) 1 of presenilin 1 (PS1) by photoaffinity labelling experiments combined with limited digestion. Binding of GSM-1 affected the structure of the initial substrate binding and the catalytic sites of the γ-secretase, thereby decreasing production of Aβ42, possibly by enhancing its conversion to Aβ38. These data indicate an allosteric action of GSM-1 by directly binding to the TMD1 of PS1, pinpointing the target structure of the phenylpiperidine-type GSMs.     

大豆蚜Kazal型丝氨酸蛋白酶抑制剂基因AgKaSPI对蜡蚧刺束梗孢菌侵染的表达响应

[目的]探究Kazal型丝氨酸蛋白酶抑制剂KaSPI在大豆蚜Aphis glycines的生长发育、消化和免疫防御等过程中的作用.[方法]基于大豆蚜转录组数据PCR克隆大豆蚜Kazal型丝氨酸蛋白酶抑制剂基因cDNA序列;qRT-PCR分别检测AgKaSPI在大豆蚜1-4龄若虫和成虫以及蜡蚧刺束梗孢菌Akanthomy...     

Electrostatic recognition in substrate binding to serine proteases

Serine proteases of the Chymotrypsin family are structurally very similar but have very different substrate preferences. This study investigates a set of 9 different proteases of this family comprising proteases that prefer substrates containing positively charged amino acids, negatively charged amino acids, and uncharged amino acids with varying degree of specificity. Here, we show that differences in electrostatic substrate preferences can be predicted reliably by electrostatic molecular interaction fields employing customized GRID probes. Thus, we are able to directly link protease structures to their electrostatic substrate preferences. Additionally, we present a new metric that measures similarities in substrate preferences focusing only on electrostatics. It efficiently compares these electrostatic substrate preferences between different proteases. This new metric can be interpreted as the electrostatic part of our previously developed substrate similarity metric. Consequently, we suggest, that substrate recognition in terms of electrostatics and shape complementarity are rather orthogonal aspects of substrate recognition. This is in line with a 2‐step mechanism of protein‐protein recognition suggested in the literature.     

Activation of protease by sol-gel entrapment into organically modified hybrid silicates

To prepare an immobilized protease with a high activity for transesterification of vinyl n-butyrate with 3-methyl-1-butanol (isoamyl alcohol) in organic media, a protease was entrapped into organic–inorganic hybrid silica gel on Celite 545 by the sol-gel method. When propyltrimethoxysilane was used as the organic silane precursor mixed with tetramethoxysilane at a molar ratio of 16:1, the hybrid gel-entrapped protease on Celite 545 had 8 times the activity of the protease deposited on Celite 545 from 35 to 85°C.     

Functional expression of recombinant human stefin A in mammalian and bacterial cells

Recombinant human cysteine protease inhibitor, stefin A, was expressed in both Escherichia coli and BS-C-1 monkey kidney cells utilizing pET and recombinant vaccinia virus systems, respectively. The expressed protein was purified and analyzed by SDS-PAGE and Western blot analysis utilizing a polyclonal antibody against rat cystatin alpha. In both cases the purified protein appeared as a single band corresponding to the molecular weight of stefin A ( approximately 10kDa). Viability of the expressed stefin A was determined by the inhibition of the plant cysteine protease, papain. Recombinant human stefin A expressed in both E. coli and BS-C-1 cells, was shown to almost completely inhibit papain. The expression of a fully functional recombinant human stefin A in the bacterial system provides a highly efficient tool for the production of large quantities of the protein. This can be an important tool in kinetic studies as well as in production of antibodies for other analytical studies (immunoblot, immunohistochemical studies, etc.). Expression in the mammalian cells, on the other hand, can provide a significant research tool to study the functional roles of stefin A in mammalian systems such as regulation of cysteine proteases.     

LabCaS: Labeling calpain substrate cleavage sites from amino acid sequence using conditional random fields

The calpain family of Ca²⁺‐dependent cysteine proteases plays a vital role in many important biological processes which is closely related with a variety of pathological states. Activated calpains selectively cleave relevant substrates at specific cleavage sites, yielding multiple fragments that can have different functions from the intact substrate protein. Until now, our knowledge about the calpain functions and their substrate cleavage mechanisms are limited because the experimental determination and validation on calpain binding are usually laborious and expensive. In this work, we aim to develop a new computational approach (LabCaS) for accurate prediction of the calpain substrate cleavage sites from amino acid sequences. To overcome the imbalance of negative and positive samples in the machine‐learning training which have been suffered by most of the former approaches when splitting sequences into short peptides, we designed a conditional random field algorithm that can label the potential cleavage sites directly from the entire sequences. By integrating the multiple amino acid features and those derived from sequences, LabCaS achieves an accurate recognition of the cleave sites for most calpain proteins. In a jackknife test on a set of 129 benchmark proteins, LabCaS generates an AUC score 0.862. The LabCaS program is freely available at: http://www.csbio.sjtu.edu.cn/bioinf/LabCaS . Proteins 2013. © 2012 Wiley Periodicals, Inc.