Identification of differentially expressed genes in primary Sjögren's syndrome

Primary Sjögren's syndrome (pSS) is a chronic systemic autoimmune disease that affects exocrine glands. To study the molecular mechanism and identify crucial genes/pathways in pSS pathogenesis, the microarray-based whole-genome gene expression profiles from salivary glands of patients with pSS and non-sicca controls were retrieved. After normalization and subsequent batch effect adjustment, significance analysis of microarrays method was applied to five available datasets, and 379 differentially expressed genes (DEGs) were identified. The 300 upregulated DEGs were enriched in Gene Ontology terms of immune and inflammatory responses, including antigen processing and presentation, interferon-mediated signaling pathway, and chemotaxis. Previously reported pSS-associated genes, including HLA-DRA, TAP2, PRDM1, and IFI16, were found to be significantly upregulated. The downregulated DEGs were enriched in pathways of salivary secretion, carbohydrate digestion and absorption, and starch and sucrose metabolism, implying dysfunction of salivary glands during pathogenesis. Next, a protein-protein interaction network was constructed, and B2M, an upregulated DEG, was shown to be a hub, suggesting its potential involvement in pSS development. In summary, we found the activation of pSS-associated genes in pathogenesis, and provide clues for salivary glands dysfunction. Experimental investigation on the identified DEGs in this study will deepen our understanding on pSS.     

慢性乙型肝炎舌红苔黄和舌淡苔白不同舌象的尿代谢组研究

目的：探索慢性乙型肝炎舌红苔黄和舌淡苔白不同舌象者的尿代谢差异指标,为中医舌象生物学物质基础微观辨证提供证据。方法：采用气相色谱／质谱联用（GC／MS ）技术方法获取慢性乙型肝炎舌红苔黄和舌淡苔白不同舌象者的尿液样本代谢指纹谱,用无监督的学习模式进行多变量统计分析,观察不同组别的人群之间是否存在“自然”的分类结构。利用有监督的学习模式进行数据分类模型的建立和检验,寻找造成样本聚集和离散的主要差异变量。利用商业化的代谢物谱库以及标准品数据库,进行物质鉴定。结果：慢性乙型肝炎舌红苔黄和舌淡苔白者在有监督的学习模式下具有良好的分开趋势,慢乙肝不同舌象者较健康者的差异代谢物谱主要与能量代谢、氨基酸代谢、核苷酸代谢以及肠道菌群代谢相关。结论：舌象是机体变化的重要窗口,不同舌象的外在表观潜在体内的代谢差异。     

高产申嗪霉素和吩嗪-1-酰胺的水稻根际铜绿假单胞菌PA1201分离、鉴定与应用潜力

【目的】从水稻根际筛选能高效抑制水稻病原菌的细菌,分析和鉴定其形态和生化特征,为开发新型绿色农药奠定基础。【方法】从水稻根际分离能以1-氨基环丙烷-1-羧酸(ACC)为唯一碳源的菌株,根据菌株形态和生化特性、16S r DNA序列比对和磷脂脂肪酸图谱,对该菌株进行鉴定。通过氯仿萃取抽提、高效液相色谱分析,确定菌株PA1201在PPM培养基和黄豆粉培养基中申嗪霉素和吩嗪-1-酰胺的产量。【结果】菌株PA1201能有效抑制水稻纹枯病菌和水稻白叶枯病菌的生长,属于铜绿假单胞菌(Pseudomonas aeruginosa sp.PA1201);PA1201产生两种抑菌代谢产物申嗪霉素和吩嗪-1-酰胺,在PPM和黄豆粉培养基中申嗪霉素的产量可达81.7 mg/L和926.9 mg/L,吩嗪-1-酰胺的产量亦可达18.1 mg/L和489.5 mg/L;PA1201产生大量胞外蛋白酶,对人肺腺癌细胞系A549和黑腹果蝇具有一定毒性。【结论】PA1201的申嗪霉素产量比现有生产菌株的出发菌株M18高3-4倍,还能产生另一种抑菌活性更高的衍生物吩嗪-1-酰胺,具有进一步开发的潜力。     

ALLMAPS: robust scaffold ordering based on multiple maps

The ordering and orientation of genomic scaffolds to reconstruct chromosomes is an essential step during de novo genome assembly. Because this process utilizes various mapping techniques that each provides an independent line of evidence, a combination of multiple maps can improve the accuracy of the resulting chromosomal assemblies. We present ALLMAPS, a method capable of computing a scaffold ordering that maximizes colinearity across a collection of maps. ALLMAPS is robust against common mapping errors, and generates sequences that are maximally concordant with the input maps. ALLMAPS is a useful tool in building high-quality genome assemblies. ALLMAPS is available at: https://github.com/tanghaibao/jcvi/wiki/ALLMAPS.     

Coexpression of EGFR and CXCR4 Predicts Poor Prognosis in Resected Pancreatic Ductal Adenocarcinoma

BackgroundEpidermal growth factor receptor (EGFR) is highly expressed in pancreatic ductal adenocarcinoma (PDAC) and is involved in tumorigenesis and development. However, EGFR expression alone has limited clinical and prognostic significance. Recently, the cross-talk between EGFR and G-protein-coupled chemokine receptor CXCR4 has become increasingly recognized.MethodsIn the present study, immunohistochemical staining of EGFR and CXCR4 was performed on paraffin-embedded specimens from 131 patients with surgically resected PDAC. Subsequently, the associations between EGFR expression, CXCR4 expression, EGFR/CXCR4 coexpression and clinicopathologic factors were assessed, and survival analyses were performed.ResultsIn total, 64 (48.9%) patients expressed EGFR, 68 (51.9%) expressed CXCR4, and 33 (25.2%) coexpressed EGFR and CXCR4. No significant association between EGFR and CXCR4 expression was observed (P = 0.938). EGFR expression significantly correlated with tumor differentiation (P = 0.031), whereas CXCR4 expression significantly correlated with lymph node metastasis (P = 0.001). EGFR/CXCR4 coexpression was significantly associated with lymph node metastasis (P = 0.026), TNM stage (P = 0.048), and poor tumor differentiation (P = 0.004). By univariate survival analysis, both CXCR4 expression and EGFR/CXCR4 coexpression were significant prognostic factors for poor disease-free survival (DFS) and overall survival (OS). Moreover, EGFR/CXCR4 coexpression significantly increased the hazard ratio for both recurrence and death compared with EGFR or CXCR4 protein expression alone. Multivariate survival analysis demonstrated that EGFR/CXCR4 coexpression was an independent prognostic factor for DFS (HR = 2.33, P<0.001) and OS (HR = 2.48, P = 0.001).ConclusionsIn conclusion, our data indicate that although EGFR expression alone has limited clinical and prognostic significance, EGFR/CXCR4 coexpression identified a subset of PDAC patients with more aggressive tumor characteristics and a significantly worse prognosis. Our results suggest a potentially important "cross-talk" between CXCR4 and EGFR intracellular pathways and indicate that the simultaneous inhibition of these pathways might be an attractive therapeutic strategy for PDAC.     

Detection of Xeljanz Enantiomers in Diethyl Amine Active Pharmaceutical Ingredients and Tablets

A high‐performance liquid chromatography (HPLC) method was established to detect Xeljanz enantiomers in active pharmaceutical ingredients (APIs) and tablets. The separation was achieved on a Chiralpak IC column using a mobile phase of hexane‐ethanol‐diethylamine (65:35:0.1, v/v). The detection wavelength was 289 nm. The peak areas and the enantiomer concentrations in the range of 0.15–2.25 μg?mL^?1 were in high linearity, with correlation coefficients higher than 0.999. The recoveries were 86.44% at the concentrations of 7.5, 18.75, and 37.5 μg?mL^?1. The limit of detection (LOD) and limit of quantification (LOQ) were 0.042 and 0.14 μg?mL^?1, respectively. This HPLC method is suitable for detecting the enantiomers of Xeljanz in its APIs and tablets. Chirality 27:235–238, 2015. © 2014 Wiley Periodicals, Inc.     

Identification of P‐glycoprotein co‐fractionating proteins and specific binding partners in rat brain microvessels

Drug delivery to the brain for the treatment of pathologies with a CNS component is a significant clinical challenge. P‐glycoprotein (PgP), a drug efflux pump in the endothelial cell membrane, is a major factor in preventing therapeutics from crossing the blood‐brain barrier (BBB). Identifying PgP regulatory mechanisms is key to developing agents to modulate PgP activity. Previously, we found that PgP trafficking was altered concomitant with increased PgP activity and disassembly of high molecular weight PgP‐containing complexes during acute peripheral inflammatory pain. These data suggest that PgP activity is post‐translationally regulated at the BBB. The goal of the current study was to identify proteins that co‐localize with PgP in rat brain microvessel endothelial cell membrane microdomains and use the data to suggest potential regulatory mechanisms. Using new density gradients of microvessel homogenates, we identified two unique pools (1,2) of PgP in membrane fractions. Caveolar constituents, caveolin1, cavin1, and cavin2, co‐localized with PgP in these fractions indicating the two pools contained caveolae. A chaperone (Hsc71), protein disulfide isomerase and endosomal/lysosomal sorting proteins (Rab5, Rab11a) also co‐fractionated with PgP in the gradients. These data suggest signaling pathways with a potential role in post‐translational regulation of PgP activity at the BBB.