产芳香腈水解酶的恶臭假单胞菌Pseudomonas putida CGMCC3830的筛选、鉴定及发酵优化(英文)

近年来微生物腈水解酶水解腈类化合物制备有机酸已逐步受到关注。本研究分离到一株表现出较高腈水解酶活力的细菌菌株,通过形态学、生理生化实验以及16S rRNA基因序列分析将其鉴定为恶臭假单胞菌Pseudomonas putida CGMCC3830。结合单因素及响应面法对该菌株产腈水解酶的发酵条件进行了优化,获得最适培养条件为:甘油13.54 g/L,胰蛋白胨11.59 g/L,酵母粉5.21 g/L,KH2PO4 1 g/L,NaCl 1 g/L,脲1 g/L,初始pH 6.0及培养温度30℃。通过优化,酶活由2.02 U/mL提升至36.12 U/mL。对该菌株底物特异性的考察结果表明,恶臭假单胞菌腈水解酶对芳香族腈类化合物具有较高的水解活力。将其应用于烟酸的生物合成中,2 mg/mL游离细胞能90 min内将20.8 g/L 3-氰基吡啶彻底转化,制备得到相应烟酸。这些结果表明恶臭假单胞菌P.putida CGMCC3830在烟酸的规模化生产中具有一定的应用潜力。     

Engineered Fc based antibody domains and fragments as novel scaffolds

Therapeutic monoclonal antibodies (mAbs) have been successful for the therapy of a number of diseases mostly cancer and immune disorders. However, the vast majority of mAbs approved for clinical use are full size, typically in IgG1 format. These mAbs may exhibit relatively poor tissue penetration and restricted epitope access due to their large size. A promising solution to this fundamental limitation is the engineering of smaller scaffolds based on the IgG1 Fc region. These scaffolds can be used for the generation of libraries of mutants from which high-affinity binders can be selected. Comprised of the CH2 and CH3 domains, the Fc region is important not only for the antibody effector function but also for its long half-life. This review focuses on engineered Fc based antibody fragments and domains including native (dimeric) Fc and monomeric Fc as well as CH2 and monomeric CH3, and their use as novel scaffolds and binders. The Fc based binders are promising candidate therapeutics with optimized half-life, enhanced tissue penetration and access to sterically restricted binding sites resulting in an increased therapeutic efficacy. This article is part of a Special Issue entitled: Recent advances in molecular engineering of antibody.     

Chemical and Genetic Studies on Hybrid of Ligularia subspicata and Ligularia cyathiceps Collected in Yunnan Province of China

Two morphologically ambiguous Ligularia samples (samples A and B), and samples with morphology of Ligularia subspicata (sample C), Ligularia lamarum (sample D), or Ligularia cyathiceps (sample E), were collected at Tianchi Pond, Shangrila County, Yunnan Province, China. Analysis of the nucleotide sequence of the internal transcribed spacers (ITSs) in the nuclear ribosomal RNA gene cluster indicated that not only sample B but also sample D was a hybrid of L. cyathiceps and L. lamarum/L. subspicata. Although the morphology of sample A suggested that it was also a hybrid, the ITS sequence of sample A was that of L. cyathiceps. Twenty compounds were isolated from the five samples, and the structures of two new compounds 7 and 14 were determined. Furanoeremophilanes typical of L. lamarum/L. subspicata were detected not only in samples C and D, but also in samples A and B. These results indicate that the ability to produce root chemicals can spread through introgression.     

Protein extraction from plant tissues for 2DE and its application in proteomic analysis

Plant tissues contain large amounts of secondary compounds that significantly interfere with protein extraction and 2DE analysis. Thus, sample preparation is a crucial step prior to 2DE in plant proteomics. This tutorial highlights the guidelines that need to be followed to perform an adequate total protein extraction before 2DE in plant proteomics. We briefly describe the history, development, and feature of major sample preparation methods for the 2DE analysis of plant tissues, that is, trichloroacetic acid/acetone precipitation and phenol extraction. We introduce the interfering compounds in plant tissues and the general guidelines for tissue disruption, protein precipitation and resolubilization. We describe in details the advantages, limitations, and application of the trichloroacetic acid/acetone precipitation and phenol extraction methods to enable the readers to select the appropriate method for a specific species, tissue, or cell type. The current applications of the sample preparation methods in plant proteomics in the literature are analyzed. A comparative proteomic analysis between male and female plants of Pistacia chinensis is used as an example to represent the sample preparation methodology in 2DE‐based proteomics. Finally, the current limitations and future development of these sample preparation methods are discussed. This Tutorial is part of the International Proteomics Tutorial Programme (IPTP17).     

Pharmacological inhibition of <Emphasis Type="Italic">O</Emphasis>-GlcNAcase (OGA) prevents cognitive decline and amyloid plaque formation in bigenic tau/APP mutant mice

Background

Amyloid plaques and neurofibrillary tangles (NFTs) are the defining pathological hallmarks of Alzheimer’s disease (AD). Increasing the quantity of the O-linked N-acetylglucosamine (O-GlcNAc) post-translational modification of nuclear and cytoplasmic proteins slows neurodegeneration and blocks the formation of NFTs in a tauopathy mouse model. It remains unknown, however, if O-GlcNAc can influence the formation of amyloid plaques in the presence of tau pathology.

Results

We treated double transgenic TAPP mice, which express both mutant human tau and amyloid precursor protein (APP), with a highly selective orally bioavailable inhibitor of the enzyme responsible for removing O-GlcNAc (OGA) to increase O-GlcNAc in the brain. We find that increased O-GlcNAc levels block cognitive decline in the TAPP mice and this effect parallels decreased β-amyloid peptide levels and decreased levels of amyloid plaques.

Conclusions

This study indicates that increased O-GlcNAc can influence β-amyloid pathology in the presence of tau pathology. The findings provide good support for OGA as a promising therapeutic target to alter disease progression in Alzheimer disease.

     

Development of a SCAR marker for early identification of S-cytoplasm based on mitochondrial SRAP analysis in pepper (Capsicum annuum L.)

Molecular markers, coxII SCAR, atp6-2 SCAR and accD-U, have been used for marker-assisted selection of cytoplasmic male sterility (CMS) in pepper. However, the presence of these markers at the sub-stoichiometric level in maintainer lines affects the reliable selection of male sterile (S-) cytoplasm. This study aimed to develop a new CMS-specific molecular marker, SCAR₁₃₀, for reliable identification of S-cytoplasm in pepper, while the new and three previous molecular markers were used to determine the cytoplasm types of pepper lines. Based on mitochondrial genome sequence related amplified polymorphism (SRAP) analysis of the CMS lines and the maintainer lines, SCAR₁₃₀ was developed from a 10-bp deletion at the SRAP primer binding site in the CMS line (130 bp) compared with that in the maintainer line (140 bp). S-cytoplasm could be unambiguously selected from the pepper lines by the different length of the marker bands. Application of the four molecular markers to various pepper lines revealed that SCAR₁₃₀ is more reliable than the other three previous markers, orf507, ψatp6-2 and accD-U. Homology alignment with BLAST showed that the marker was located between trnE and trnS in the Nicotiana tabacum mitochondrial genome. Furthermore, expression of the marker-linked gene was significantly higher at the pollen abortive stage in the CMS line (HW203A) than in the maintainer line, which indicated that the marker was closely related to male sterility. Hence, factors other than orf507 and ψatp6-2 may exist for the regulation of male sterility in pepper.     

An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era

Background

Gene expression microarray has been the primary biomarker platform ubiquitously applied in biomedical research, resulting in enormous data, predictive models, and biomarkers accrued. Recently, RNA-seq has looked likely to replace microarrays, but there will be a period where both technologies co-exist. This raises two important questions: Can microarray-based models and biomarkers be directly applied to RNA-seq data? Can future RNA-seq-based predictive models and biomarkers be applied to microarray data to leverage past investment?

Results

We systematically evaluated the transferability of predictive models and signature genes between microarray and RNA-seq using two large clinical data sets. The complexity of cross-platform sequence correspondence was considered in the analysis and examined using three human and two rat data sets, and three levels of mapping complexity were revealed. Three algorithms representing different modeling complexity were applied to the three levels of mappings for each of the eight binary endpoints and Cox regression was used to model survival times with expression data. In total, 240,096 predictive models were examined.

Conclusions

Signature genes of predictive models are reciprocally transferable between microarray and RNA-seq data for model development, and microarray-based models can accurately predict RNA-seq-profiled samples; while RNA-seq-based models are less accurate in predicting microarray-profiled samples and are affected both by the choice of modeling algorithm and the gene mapping complexity. The results suggest continued usefulness of legacy microarray data and established microarray biomarkers and predictive models in the forthcoming RNA-seq era.

Electronic supplementary material

The online version of this article (doi:10.1186/s13059-014-0523-y) contains supplementary material, which is available to authorized users.