Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation

There are many sources of systematic variation in cDNA microarray experiments which affect the measured gene expression levels (e.g. differences in labeling efficiency between the two fluorescent dyes). The term normalization refers to the process of removing such variation. A constant adjustment is often used to force the distribution of the intensity log ratios to have a median of zero for each slide. However, such global normalization approaches are not adequate in situations where dye biases can depend on spot overall intensity and/or spatial location within the array. This article proposes normalization methods that are based on robust local regression and account for intensity and spatial dependence in dye biases for different types of cDNA microarray experiments. The selection of appropriate controls for normalization is discussed and a novel set of controls (microarray sample pool, MSP) is introduced to aid in intensity-dependent normalization. Lastly, to allow for comparisons of expression levels across slides, a robust method based on maximum likelihood estimation is proposed to adjust for scale differences among slides.     

AliSim: A Fast and Versatile Phylogenetic Sequence Simulator for the Genomic Era

Sequence simulators play an important role in phylogenetics. Simulated data has many applications, such as evaluating the performance of different methods, hypothesis testing with parametric bootstraps, and, more recently, generating data for training machine-learning applications. Many sequence simulation programmes exist, but the most feature-rich programmes tend to be rather slow, and the fastest programmes tend to be feature-poor. Here, we introduce AliSim, a new tool that can efficiently simulate biologically realistic alignments under a large range of complex evolutionary models. To achieve high performance across a wide range of simulation conditions, AliSim implements an adaptive approach that combines the commonly used rate matrix and probability matrix approaches. AliSim takes 1.4 h and 1.3 GB RAM to simulate alignments with one million sequences or sites, whereas popular software Seq-Gen, Dawg, and INDELible require 2–5 h and 50–500 GB of RAM. We provide AliSim as an extension of the IQ-TREE software version 2.2, freely available at www.iqtree.org, and a comprehensive user tutorial at http://www.iqtree.org/doc/AliSim.     

Peridinin-Chlorophyll a-Protein Is not Implicated in the Photosynthesis Rhythm of the Dinoflagellate Gonyaulax despite Circadian Regulation of its Translation

The levels of peridinin-chlorophyll a -protein (PCP) mRNA, apoprotein and protein bound with peridinin (holoprotein) were measured as a function of circadian time in the dinoflagellate Gonyaulax polyedra to test involvement of this protein in the circadian oxygen evolution rhythm. This involvement was suggested by previous work showing that synthesis of PCP was rhythmic in vivo and in phase with the three-fold rhythm of oxygen evolution. However, Gonyaulax contains six PCP isoforms, only one of which was previously examined. In this report, we extend our analysis to two additional isoforms to encompass roughly 90% of the total cellular PCP. We confirm that synthesis of two additional PCP isoforms is rhythmic in vivo and show that this regulation appears to occur at a translational level as found for two other regulated proteins in this organism. However, PCP is unlikely to be implicated in the oxygen evolution rhythm since both PCP protein levels and the amount of chromophore (OD⁴⁸⁰) bound to protein (OD²⁸⁰) are constant over a circadian period.     

Distinct glycoconjugate cell surface structures make the pelagic diatom Thalassiosira rotula an attractive habitat for bacteria

Interactions between marine diatoms and bacteria have been studied for decades. However, the visualization of physical interactions between these diatoms and their colonizers is still limited. To enhance our understanding of these specific interactions, a new Thalassiosira rotula isolate from the North Sea (strain 8673) was characterized by scanning electron microscopy and confocal laser scanning microscopy (CLSM) after staining with fluorescently labeled lectins targeting specific glycoconjugates. To investigate defined interactions of this strain with bacteria the new strain was made axenic and co-cultivated with a natural bacterial community and in two- or three-partner consortia with different bacteria of the Roseobacter group, Gammaproteobacteria and Bacteroidetes. The CLSM analysis of the consortia identified six out of 78 different lectins as very suitable to characterize glycoconjugates of T. rotula. The resulting images show that fucose-containing threads were the dominant glycoconjugates secreted by the T. rotula cells but chitin and to a lesser extent other glycoconjugates were also identified. Bacteria attached predominantly to the fucose glycoconjugates. The colonizing bacteria showed various attachment patterns such as adhering to the diatom threads in aggregates only or attaching to both the surfaces and the threads of the diatom. Interestingly the colonization patterns of single bacteria differed strikingly from those of bacterial co-cultures, indicating that interactions between two bacterial species impacted the colonization of the diatom. Our observations help to better understand physical interactions and specific colonization patterns of distinct bacterial mono- and co-cultures with an abundant diatom of costal seas.     

Optimization of protease production by endophytic fungus,Alternaria alternata,isolated from an Australian native plant

Endophytes are recognised as potential sources of novel secondary metabolites, including enzymes and drugs, with applications in medicine, agriculture and industry. There is a growing need for new enzymes, including proteases, for use in industry that can function under a variety of conditions. In this study, three fungal endophytes (Alternaria alternata, Phoma herbarum and an unclassified fungus), were isolated from the Australian native plant, Eremophilia longifolia, and assessed for production of proteases. The lyophilised growth media obtained after fungal fermentation were analysed for protease production using enzyme activity assays. Protease production was optimised by assessing the effects of temperature, pH, carbon source and nitrogen source on activity. A. alternata showed the greatest protease activity in a wide range of pH (3–9). The broadest activity between 9 and 50 °C was observed at pH 7, suggesting a neutral protease. Overall, the optimum conditions were 37 °C and pH 7 with a maximum specific activity value of 69.86 BAEE units/mg. The characteristics demonstrated by this fungal endophyte showed that it is a potential source of an enzyme with particular application in the dairy industry. However, further studies of the tolerance to higher temperatures and pH will indicate whether the enzyme is suitable to such applications.     

Osmotic Regulation Is Required for Cancer Cell Survival under Solid Stress

For a solid tumor to grow, it must be able to support the compressive stress that is generated as it presses against the surrounding tissue. Although the literature suggests a role for the cytoskeleton in counteracting these stresses, there has been no systematic evaluation of which filaments are responsible or to what degree. Here, using a three-dimensional spheroid model, we show that cytoskeletal filaments do not actively support compressive loads in breast, ovarian, and prostate cancer. However, modulation of tonicity can induce alterations in spheroid size. We find that under compression, tumor cells actively efflux sodium to decrease their intracellular tonicity, and that this is reversible by blockade of sodium channel NHE1. Moreover, although polymerized actin does not actively support the compressive load, it is required for sodium efflux. Compression-induced cell death is increased by both sodium blockade and actin depolymerization, whereas increased actin polymerization offers protective effects and increases sodium efflux. Taken together, these results demonstrate that cancer cells modulate their tonicity to survive under compressive solid stress.     

iNSP-GCAAP: Identifying nonclassical secreted proteins using global composition of amino acid properties

Nonclassical secreted proteins (NSPs) refer to a group of proteins released into the extracellular environment under the facilitation of different biological transporting pathways apart from the Sec/Tat system. As experimental determination of NSPs is often costly and requires skilled handling techniques, computational approaches are necessary. In this study, we introduce iNSP-GCAAP, a computational prediction framework, to identify NSPs. We propose using global composition of a customized set of amino acid properties to encode sequence data and use the random forest (RF) algorithm for classification. We used the training dataset introduced by Zhang et al. (Bioinformatics, 36(3), 704–712, 2020) to develop our model and test it with the independent test set in the same study. The area under the receiver operating characteristic curve on that test set was 0.9256, which outperformed other state-of-the-art methods using the same datasets. Our framework is also deployed as a user-friendly web-based application to support the research community to predict NSPs.