Computing and visually analyzing mutual information in molecular co-evolution

Background  

Selective pressure in molecular evolution leads to uneven distributions of amino acids and nucleotides. In fact one observes correlations among such constituents due to a large number of biophysical mechanisms (folding properties, electrostatics, ...). To quantify these correlations the mutual information -after proper normalization - has proven most effective. The challenge is to navigate the large amount of data, which in a study for a typical protein cannot simply be plotted.     

Dynamic Proteome Response of Pseudomonas aeruginosa to Tobramycin Antibiotic Treatment

Genetically susceptible bacteria become antibiotic tolerant during chronic infections, and the mechanisms responsible are poorly understood. One factor that may contribute to differential sensitivity in vitro and in vivo is differences in the time-dependent tobramycin concentration profile experienced by the bacteria. Here, we examine the proteome response induced by subinhibitory concentrations of tobramycin in Pseudomonas aeruginosa cells grown under planktonic conditions. These efforts revealed increased levels of heat shock proteins and proteases were present at higher dosage treatments (0.5 and 1 μg/ml), while less dramatic at 0.1 μg/ml dosage. In contrast, many metabolic enzymes were significantly induced by lower dosages (0.1 and 0.5 μg/ml) but not at 1 μg/ml dosage. Time course proteome analysis further revealed that the increase of heat shock proteins and proteases was most rapid from 15 min to 60 min, and the increased levels sustained till 6 h (last time point tested). Heat shock protein IbpA exhibited the greatest induction by tobramycin, up to 90-fold. Nevertheless, deletion of ibpA did not enhance sensitivity to tobramycin. It seemed possible that the absence of sensitization could be due to redundant functioning of IbpA with other proteins that protect cells from tobramycin. Indeed, inactivation of two heat shock chaperones/proteases in addition to ibpA in double mutants (ibpA/clpB, ibpA/PA0779 and ibpA/hslV) did increase tobramycin sensitivity. Collectively, these results demonstrate the time- and concentration-dependent nature of the P. aeruginosa proteome response to tobramycin and that proteome modulation and protein redundancy are protective mechanisms to help bacteria resist antibiotic treatments.The opportunistic pathogen Pseudomonas aeruginosa is ubiquitous in the natural environment and causes human infections (1). P. aeruginosa can metabolize various carbon and nitrogen compounds and persists under nutrient-poor and hostile growth environments (2, 3). One example is P. aeruginosa pulmonary infection of cystic fibrosis (CF) patients. Despite stress induced by host defenses and high concentrations of antibiotics, P. aeruginosa cells are able to persistently colonize CF airways (4).The aminoglycoside tobramycin is a front-line drug currently used in the treatment of P. aeruginosa in CF and other diseases. It is supplied in the forms of inhaled solution (TOBI) and intravenous injection. The tobramycin concentrations in airways after 300-mg dosage TOBI inhalation can reach 1,000 μg per g of sputum (5, 6). This concentration is in the range of 10 to 1,000 times of the minimal inhibitory concentration (MIC) for P. aeruginosa clinical isolates tested ex vivo (6). However, even with such high tobramycin concentrations, chronic P. aeruginosa infections are rarely eradicated (6). This is true even when the infecting bacteria are antibiotic sensitive, as is the case early in disease (7).One possible reason for P. aeruginosa persistence in vivo could relate to the time dependence of local concentrations of tobramycin experienced by P. aeruginosa in CF patient airways. Many factors, including inflammatory responses, blood and lymphatic circulations, and air flow distribution (for inhaled antibiotics), can alter the local antibiotic concentrations. In addition, P. aeruginosa cells can form biofilms in CF lungs and other infection sites (8), and biofilm exopolysaccharide layers may slow the diffusion of tobramycin (9, 10). P. aeruginosa cells in the inner layers of biofilms may experience lower concentrations and more gradual increase of tobramycin levels than those in outer layers (10, 11). Furthermore, even if final tobramycin concentration levels inside the biofilm eventually grow to match the highest levels experienced elsewhere, bacteria in these inner regions have experienced a slower increase, during which time proteome levels could be altered to promote the “adapted resistant state” (12). Adaptive resistance can also be induced in planktonic (free-living) P. aeruginosa (13, 14), and conventional MIC assays are not designed to measure this.Once induced, the adaptive resistance confers bacteria higher resistance to antibiotic treatments (13, 14) and is associated with decreased clinical antibiotic treatment efficacy (15). Interestingly, the adaptive resistance is time dependent and reversible. Typical adaptive resistance was observed starting 1 h after antibiotic exposure, and the drug susceptibility was regained after 36 h intervals (14, 15). Thus, adaptive resistance mechanisms may contribute in part to the disparity of in vivo persistence and ex vivo susceptibility to antibiotics in MIC tests.As an initial step toward defining adaptive resistance mechanisms, we investigated the time- and concentration-dependence of P. aeruginosa proteome response to tobramycin in planktonic conditions. Since the most effective protective responses may operate before killing begins and the rate of change of drug levels is likely to depend on ambient conditions, we studied bacteria exposed to low, subinhibitory levels of tobramycin (0.1, 0.5, and 1.0 μg/ml) at a range of time points (15, 60, 120, and 360 min) after exposure. The candidate proteome marker of P. aeruginosa for tobramycin response, heat shock protein IbpA, was further investigated with genetic mutagenesis and MIC assays.     

Synthesis of 3-tert-butylcatechol by an engineered monooxygenase

Recombinant Escherichia coli JM101 was used for the in vivo biocatalytic synthesis of 3-tert-butyl- catechol. The bacterial strain synthesized the laboratory-evolved variant HbpA(T2) of 2-hydroxybiphenyl 3-monooxygenase (HbpA, EC 1.14.13.44) from Pseudomonas azelaica HBP1. The mutant enzyme HbpA(T2) is able to hydroxylate 2-tert-butylphenol to the corresponding catechol, a reaction that is not catalyzed by the wild-type enzyme. The biotransformation was performed in a 3-L bioreactor for 24 h. To mitigate the toxicity of the 2-tert-butylphenol starting material, we applied a limited substrate feed. Continuous in situ product removal with the hydrophobic resin Amberlite XAD-4 was used to separate the product from culture broth. In addition, binding to the resin stabilized the product, which was important because 3-tert-butylcatechol is very labile in aqueous solution. The productivity of the process was 63 mg L(-1) h(-1) so that after 24 h, 3.0 g of 3-tert-butylcatechol were isolated. Down-stream processing consisted of two steps. First, bound 2-tert-butylphenol and 3-tert-butylcatechol were eluted from Amberlite XAD-4 with methanol. Second, the two compounds were separated over neutral aluminum oxide, which selectively binds the produced catechol but not the phenol substrate. The final purity of 3-tert-butylcatechol was greater than 98%.     

CGR2 and CGR3 have critical overlapping roles in pectin methylesterification and plant growth in Arabidopsis thaliana

Pectins are critical polysaccharides of the cell wall that are involved in key aspects of a plant's life, including cell‐wall stiffness, cell‐to‐cell adhesion, and mechanical strength. Pectins undergo methylesterification, which affects their cellular roles. Pectin methyltransferases are believed to methylesterify pectins in the Golgi, but little is known about their identity. To date, there is only circumstantial evidence to support a role for QUASIMODO2 (QUA2)‐like proteins and an unrelated plant‐specific protein, cotton Golgi‐related 3 (CGR3), in pectin methylesterification. To add to the knowledge of pectin biosynthesis, here we characterized a close homolog of CGR3, named CGR2, and evaluated the effect of loss‐of‐function mutants and over‐expression lines of CGR2 and CGR3 in planta. Our results show that, similar to CGR3, CGR2 is a Golgi protein whose enzyme active site is located in the Golgi lumen where pectin methylesterification occurs. Through phenotypical analyses, we also established that simultaneous loss of CGR2 and CGR3 causes severe defects in plant growth and development, supporting critical but overlapping functional roles of these proteins. Qualitative and quantitative cell‐wall analytical assays of the double knockout mutant demonstrated reduced levels of pectin methylesterification, coupled with decreased microsomal pectin methyltransferase activity. Conversely, CGR2 and CGR3 over‐expression lines have markedly opposite phenotypes to the double knockout mutant, with increased cell‐wall methylesterification levels and microsomal pectin methyltransferase activity. Based on these findings, we propose that CGR2 and CGR3 are critical proteins in plant growth and development that act redundantly in pectin methylesterification in the Golgi apparatus.     

急性心肌梗死患者冠脉搭桥术前中性粒细胞-淋巴细胞比率与围术期心肌损伤相关分析

目的：探讨急性心肌梗死患者冠脉搭桥（CABG）术前中性粒细胞．淋巴细胞比率（NLR）与围术期心肌损伤的关系,为,临床CABG围术期心肌保护提供参考依据。方法：选取2012年1月至2012年6月于首都医科大学附属北京安贞医院因急性心肌梗死接受冠脉搭桥手术（CABG）患者210例,收集术前血常规及术后肌钙蛋白I（cTnI）？Life酸激酶同工酶（CK-MB）,计算NLR;采用四分位法根据NLR水平将患者分为四组,比较各组cTnI及CK—MB峰值,多元逐步回归分析NLR与cTnI及CK-MB峰值的相关性。结果：随着NLR水平升高,高血压病史和射血分数〈50％患者比例逐渐增多;白细胞计数、术后CK-MB及cTnI峰值、术后血肌酐值均逐渐增加;多元逐步回归分析显示,NLR、WBC分别与cTnI峰值呈正相关（r=0．526,r=0．186,P〈0．05）。结论：术前NLR、WBC与cTnI峰值呈正相关,NLR可能是反应急性心肌梗死患者冠脉搭桥围术期心肌损伤的良好标志物。     

Interactions of Ly49 family receptors with MHC class I ligands in trans and cis

The Ly49A NK cell receptor interacts with MHC class I (MHC-I) molecules on target cells and negatively regulates NK cell-mediated target cell lysis. We have recently shown that the MHC-I ligand-binding capacity of the Ly49A NK cell receptor is controlled by the NK cells' own MHC-I. To see whether this property was unique to Ly49A, we have investigated the binding of soluble MHC-I multimers to the Ly49 family receptors expressed in MHC-I-deficient and -sufficient C57BL/6 mice. In this study, we confirm the binding of classical MHC-I to the inhibitory Ly49A, C and I receptors, and demonstrate that detectable MHC-I binding to MHC-I-deficient NK cells is exclusively mediated by these three receptors. We did not detect significant multimer binding to stably transfected or NK cell-expressed Ly49D, E, F, G, and H receptors. Yet, we identified the more distantly related Ly49B and Ly49Q, which are not expressed by NK cells, as two novel MHC-I receptors in mice. Furthermore, we show using MHC-I-sufficient mice that the NK cells' own MHC-I significantly masks the Ly49A and Ly49C, but not the Ly49I receptor. Nevertheless, Ly49I was partly masked on transfected tumor cells, suggesting that the structure of Ly49I is compatible in principal with cis binding of MHC-I. Finally, masking of Ly49Q by cis MHC-I was minor, whereas masking of Ly49B was not detected. These data significantly extend the MHC-I specificity of Ly49 family receptors and show that the accessibility of most, but not all, MHC-I-binding Ly49 receptors is modulated by the expression of MHC-I in cis.     

Georg lembcke

Ohne Zusammenfassung

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Georg lembcke

     

Comparison of Amersham and Agilent microarray technologies through quantitative noise analysis

We carried out a series of replicate experiments on DNA microarrays using two cell lines and two technologies--the Agilent Human 1A Microarray and the GE Amersham Codelink Uniset Human 20K I Bioarray. We demonstrated that quantifying the noise level as a function of signal strength allows identification of the absolute and differential mRNA expression levels at which biological variability can be resolved above measurement noise. This represents a new formulation of a sensitivity threshold that can be used to compare platforms. It was found that the correlation in expression level between platforms is considerably worse than the correlation between replicate measurements taken using the same platform. In addition, we carried out replicate measurements at different stages of sample processing. This novel approach enables us to quantify the noise introduced into the measurements at each step of the experimental protocol. We demonstrated how this information can be used to determine the most efficient means of using replicates to reduce experimental uncertainty.     

Isolation and characterization of microsatellite markers from the marine isopods Serolis paradoxa and Septemserolis septemcarinata (Crustacea: Peracarida)

This study reports the successful isolation of highly informative microsatellite marker sets for two marine serolid isopod species. For Serolis paradoxa (Fabricius, 1775), 13, and for Septemserolis septemcarinata (Miers, 1875), eight polymorphic microsatellite markers were isolated using the reporter genome enrichment protocol. The number of alleles per locus (N(A) ) and the observed heterozygosity (H(O) ) encompass a wide range of variation within S. paradoxa (N(A) 3-31, H(O) 6-89%) and S. septemcarinata (N(A) 2-18, H(O) 9-94%). The suitability of the newly isolated markers for population genetic studies is evaluated.