Diatrack particle tracking software: Review of applications and performance evaluation

Object tracking is an instrumental tool supporting studies of cellular trafficking. There are three challenges in object tracking: the identification of targets; the precise determination of their position and boundaries; and the assembly of correct trajectories. This last challenge is particularly relevant when dealing with densely populated images with low signal‐to‐noise ratios—conditions that are often encountered in applications such as organelle tracking, virus particle tracking or single‐molecule imaging. We have developed a set of methods that can handle a wide variety of signal complexities. They are compiled into a free software package called Diatrack. Here we review its main features and utility in a range of applications, providing a survey of the dynamic imaging field together with recommendations for effective use. The performance of our framework is shown to compare favorably to a wide selection of custom‐developed algorithms, whether in terms of localization precision, processing speed or correctness of tracks.      

A critical role for macrophages in promotion of urethane-induced lung carcinogenesis

Macrophages have established roles in tumor growth and metastasis, but information about their role in lung tumor promotion is limited. To assess the role of macrophages in lung tumorigenesis, we developed a method of minimally invasive, long-term macrophage depletion by repetitive intratracheal instillation of liposomal clodronate. Compared with controls treated with repetitive doses of PBS-containing liposomes, long-term macrophage depletion resulted in a marked reduction in tumor number and size at 4 mo after a single i.p. injection of the carcinogen urethane. After urethane treatment, lung macrophages developed increased M1 macrophage marker expression during the first 2-3 wk, followed by increased M2 marker expression by week 6. Using a strategy to reduce alveolar macrophages during tumor initiation and early promotion stages (weeks 1-2) or during late promotion and progression stages (weeks 4-16), we found significantly fewer and smaller lung tumors in both groups compared with controls. Late-stage macrophage depletion reduced VEGF expression and impaired vascular growth in tumors. In contrast, early-stage depletion of alveolar macrophages impaired urethane-induced NF-κB activation in the lungs and reduced the development of premalignant atypical adenomatous hyperplasia lesions at 6 wk after urethane injection. Together, these studies elucidate an important role for macrophages in lung tumor promotion and indicate that these cells have distinct roles during different stages of lung carcinogenesis.     

Multidrug-resistant endosymbiotic bacteria account for the emergence of zygomycosis: A hypothesis

Although the extensive use of Aspergillus-active antifungals has been recently associated with an increase in zygomycosis in several cancer centers, the frequency of this opportunistic mycosis began to rise earlier, since the mid 1990s. The reasons for that emergence are unclear. Recent evidence suggests that endosymbiotic bacteria of Rhizopus species produce toxins that enhance fungal pathogenicity. We postulate that, although Zygomycetes appear equally ubiquitous and virulent to Aspergillus, zygomycosis was rare in the past in immunosuppressed patients specifically because of the widespread use of antibacterials in this patient population. Such use may have resulted in inhibition of endosymbiotic, toxin-producing bacteria and led indirectly in attenuation of Zygomycetes virulence. Thus, the growing rates of antimicrobial resistance over the past decade selected for multidrug-resistant endosymbiotic bacteria of Zygomycetes, which could facilitate the emergence of zygomycosis. This hypothesis, if true, will be the first paradigm of modulation of virulence of opportunistic fungi by antibacterials.     

Interoperability between biomedical ontologies through relation expansion, upper-level ontologies and automatic reasoning

Researchers design ontologies as a means to accurately annotate and integrate experimental data across heterogeneous and disparate data- and knowledge bases. Formal ontologies make the semantics of terms and relations explicit such that automated reasoning can be used to verify the consistency of knowledge. However, many biomedical ontologies do not sufficiently formalize the semantics of their relations and are therefore limited with respect to automated reasoning for large scale data integration and knowledge discovery. We describe a method to improve automated reasoning over biomedical ontologies and identify several thousand contradictory class definitions. Our approach aligns terms in biomedical ontologies with foundational classes in a top-level ontology and formalizes composite relations as class expressions. We describe the semi-automated repair of contradictions and demonstrate expressive queries over interoperable ontologies. Our work forms an important cornerstone for data integration, automatic inference and knowledge discovery based on formal representations of knowledge. Our results and analysis software are available at http://bioonto.de/pmwiki.php/Main/ReasonableOntologies.     

Functionality of natural killer cells from end-stage cancer patients exposed to coherent electromagnetic fields

The main objective of our study is to investigate whether an enhancement of the immune system in end-stage cancer patients is achieved by exposure to coherent electromagnetic fields. For this reason, 15 end-stage cancer patients were exposed at low intensity, coherent electromagnetic fields at radiofrequencies ranging from 600?kHz-729?Hz, for 8?h/day, 6 days/week for 4 weeks. NKs number and cytotoxicity of NK T-lymphocytes versus K562 cancer cell line were estimated by flow cytometry, before and after exposure. Data showed that the exposure of the end-stage cancer patients to the coherent electromagnetic fields resulted in a significant increase of the number and the cytotoxicity of the NK T-lymphocytes against cancer cells, in all patients. Exposure to coherent EMFs at radiofrequencies increases the number and cytotoxicity of NK T-lymphocytes, which may contribute to the improvement of cancer patients' status.     

Adaptor long-range PCR procedure for clone-specific characterization and chromosomal localization

An efficient adaptor long-range PCR (ALR-PCR) procedure was developed to detect genomic rearrangements in high-plasticity genomic regions between closely related strains of bacteria. The method was precisely optimized using a combination of high-speed experimental steps for the chromosomal localization and elucidation of deletions, inversions, duplications, or inserted sequences within a clone-specific flanking region. The advantages of this strategy are: (i) ready-to-use polymerase mixtures and Master mix (ready-to-use reaction mixtures with polymerase MasterAmp and buffer 2x Premix 4); (ii) a 5-min ligation procedure; (iii) rapid purification of DNA digests; (iv) optimized DNA template concentration protocol to avoid nonspecific amplification and high backgrounds; (v) long-range PCR protocol to obtain at least 9.6 kb single PCR products; (vi) two-step PCR cycling with the same annealing and extension temperature at 68 degrees C; (vii) simple design of the adaptors according to the preferred restriction endonuclease enzyme; and (viii) simple technology and equipment required. The application of this method for a tester-specific suppressive subtractive hybridization (SSH) clone of Brucella melitensis 16M revealed an 837-bp deletion and a 7255-bp DNA transfer from one chromosomal location to another for Brucella abortus 2308 used as a driver.     

Rapid detection of subtype-selective nuclear hormone receptor binding with bacterial genetic selection

Subtype-selective nuclear hormone receptor modulators could potentially allow the development of valuable tissue-specific therapeutics. A simple biosensor that allows subtype-specific nuclear hormone receptor binding to be reflected by the growth phenotype of Escherichia coli cells has been constructed. This system will potentially enable the facile detection or evolution of subtype-selective hormone analogues.     

Solid-phase synthesis and conformational properties of angiotensin converting enzyme catalytic-site peptides: the basis for a structural study on the enzyme-substrate interaction

The solution NMR conformational properties of two angiotensin converting enzyme (ACE) Zn catalytic-site 36-residue peptides, with the general sequence HEMGHX23EAIGDX3, synthesized through solid-phase 9-fluorenylmethoxycarbonyl (Fmoc) chemistry, is reported. The 1H resonance assignment of Zn-bound peptides is presented and the characteristic features of the NMR solution models of the two ACE Zn(II)-bound peptides are reported. The solid-state and solution structures of the ACE C-domain catalytic site are compared while biologically important structural similarities and differences of the N- and C-terminal catalytic sites are discussed. Additionally, the structural features of the ACE substrate, the angiotensin I (AI) decapeptide, are studied using NMR spectroscopy, in order to set the structural basis for the ACE-substrate interaction in solution.     

Increased prevalence of metabolic syndrome in patients with acne inversa

Background

Acne inversa (AI; also designated as Hidradenitis suppurativa) is a common chronic inflammatory skin disease, localized in the axillary, inguinal and perianal skin areas that causes painful, fistulating sinuses with malodorous purulence and scars. Several chronic inflammatory diseases are associated with the metabolic syndrome and its consequences including arteriosclerosis, coronary heart disease, myocardial infraction, and stroke. So far, the association of AI with systemic metabolic alterations is largely unexplored.

Methods and Findings

A hospital-based case-control study in 80 AI patients and 100 age- and sex-matched control participants was carried out. The prevalence of central obesity (odds ratio 5.88), hypertriglyceridemia (odds ratio 2.24), hypo-HDL-cholesterolemia (odds ratio 4.56), and hyperglycemia (odds ratio 4.09) in AI patients was significantly higher than in controls. Furthermore, the metabolic syndrome, previously defined as the presence of at least three of the five alterations listed above, was more common in those patients compared to controls (40.0% versus 13.0%; odds ratio 4.46, 95% confidence interval 2.02 to 9.96; P<0.001). AI patients with metabolic syndrome also had more pronounced metabolic alterations than controls with metabolic syndrome. Interestingly, there was no correlation between the severity or duration of the disease and the levels of respective parameters or the number of criteria defining the metabolic syndrome. Rather, the metabolic syndrome was observed in a disproportionately high percentage of young AI patients.

Conclusions

This study shows for the first time that AI patients have a high prevalence of the metabolic syndrome and all of its criteria. It further suggests that the inflammation present in AI patients does not have a major impact on the development of metabolic alterations. Instead, evidence is given for a role of metabolic alterations in the development of AI. We recommend monitoring of AI patients in order to correct their modifiable cardiovascular risk factors.