ABCtoolbox: a versatile toolkit for approximate Bayesian computations

Background  

The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractable for many realistic evolutionary models, and the use of Bayesian inference has therefore been limited to very simple models. The situation changed recently with the advent of Approximate Bayesian Computation (ABC) algorithms allowing one to obtain parameter posterior distributions based on simulations not requiring likelihood computations.     

A versatile toolkit for high throughput functional genomics with Trichoderma reesei

Background  

The ascomycete fungus, Trichoderma reesei (anamorph of Hypocrea jecorina), represents a biotechnological workhorse and is currently one of the most proficient cellulase producers. While strain improvement was traditionally accomplished by random mutagenesis, a detailed understanding of cellulase regulation can only be gained using recombinant technologies.     

Optogenetic toolkit for precise control of calcium signaling

Calcium acts as a second messenger to regulate a myriad of cell functions, ranging from short-term muscle contraction and cell motility to long-term changes in gene expression and metabolism. To study the impact of Ca²⁺-modulated ‘ON’ and ‘OFF’ reactions in mammalian cells, pharmacological tools and ‘caged’ compounds are commonly used under various experimental conditions. The use of these reagents for precise control of Ca²⁺ signals, nonetheless, is impeded by lack of reversibility and specificity. The recently developed optogenetic tools, particularly those built upon engineered Ca²⁺ release-activated Ca²⁺ (CRAC) channels, provide exciting opportunities to remotely and non-invasively modulate Ca²⁺ signaling due to their superior spatiotemporal resolution and rapid reversibility. In this review, we briefly summarize the latest advances in the development of optogenetic tools (collectively termed as ‘genetically encoded Ca²⁺ actuators’, or GECAs) that are tailored for the interrogation of Ca²⁺ signaling, as well as their applications in remote neuromodulation and optogenetic immunomodulation. Our goal is to provide a general guide to choosing appropriate GECAs for optical control of Ca²⁺ signaling in cellulo, and in parallel, to stimulate further thoughts on evolving non-opsin-based optogenetics into a fully fledged technology for the study of Ca²⁺-dependent activities in vivo.     

bPE toolkit: toolkit for computational protein engineering

We present a computational toolkit consisting of five utility tools, for performing basic operations on a protein structure file in PDB format. The toolkit consists of five different programs which can be integrated as part of a pipeline for computational protein structure characterization or as a standalone analysis package. The programs include tools for chirality check for amino acids (ProChiral), contact map generation (CoMa), data redundancy (DaRe), hydrogen bond potential energy (HyPE) and electrostatic interaction energy (EsInE). All programs in the toolkit can be accessed and downloaded through the following link: http://www.iitg.ac.in/bpetoolkit/.     

Role of the calcium toolkit in cancer stem cells

Cancer stem cells are a subpopulation of tumor cells that proliferate, self-renew and produce more differentiated tumoral cells building-up the tumor. Responsible for the sustained growth of malignant tumors, cancer stem cells are proposed to play significant roles in cancer resistance to standard treatment and in tumor recurrence. Among the mechanisms dysregulated in neoplasms, those related to Ca²⁺ play significant roles in various aspects of cancers. Ca²⁺ is a ubiquitous second messenger whose fluctuations of its intracellular concentrations are tightly controlled by channels, pumps, exchangers and Ca²⁺ binding proteins. These components support the genesis of Ca²⁺ signals with specific spatio-temporal characteristics that define the cell response. Being involved in the coupling of extracellular events with intracellular responses, the Ca²⁺ toolkit is often hijacked by cancer cells to promote notably their proliferation and invasion. Growing evidence obtained during the last decade pointed to a role of Ca²⁺ handling and mishandling in cancer stem cells. In this review, after a general overview of the concept of cancer stem cells we analyse and discuss the studies and current knowledge regarding the complex roles of Ca²⁺ toolkit and signaling in these cells. We highlight that numbers of Ca²⁺ signaling actors promote cancer stem cell state and are associated with cell resistance to current cancer treatments and thus may represent promising targets for potential clinical applications.     

The versatile epsilon-proteobacteria: key players in sulphidic habitats

The epsilon-proteobacteria have recently been recognized as globally ubiquitous in modern marine and terrestrial ecosystems, and have had a significant role in biogeochemical and geological processes throughout Earth's history. To place this newly expanded group, which consists mainly of uncultured representatives, in an evolutionary context, we present an overview of the taxonomic classification for the class, review ecological and metabolic data in key sulphidic habitats and consider the ecological and geological potential of the epsilon-proteobacteria in modern and ancient systems. These integrated perspectives provide a framework for future culture- and genomic-based studies.     

VariVis: a visualisation toolkit for variation databases

Background  

With the completion of the Human Genome Project and recent advancements in mutation detection technologies, the volume of data available on genetic variations has risen considerably. These data are stored in online variation databases and provide important clues to the cause of diseases and potential side effects or resistance to drugs. However, the data presentation techniques employed by most of these databases make them difficult to use and understand.     

CBL‐mediated targeting of CIPKs facilitates the decoding of calcium signals emanating from distinct cellular stores

During adaptation and developmental processes cells respond through nonlinear calcium‐decoding signaling cascades, the principal components of which have been identified. However, the molecular mechanisms generating specificity of cellular responses remain poorly understood. Calcineurin B‐like (CBL) proteins contribute to decoding calcium signals by specifically interacting with a group of CBL‐interacting protein kinases (CIPKs). Here, we report the subcellular localization of all 10 CBL proteins from Arabidopsis and provide a cellular localization matrix of a plant calcium signaling network. Our findings suggest that individual CBL proteins decode calcium signals not only at the plasma membrane and the tonoplast, but also in the cytoplasm and nucleus. We found that distinct targeting signals located in the N‐terminal domain of CBL proteins determine the spatially discrete localization of CBL/CIPK complexes by COPII‐independent targeting pathways. Our findings establish the CBL/CIPK signaling network as a calcium decoding system that enables the simultaneous specific information processing of calcium signals emanating from different intra‐ and extracellular stores, and thereby provides a mechanism underlying the specificity of cellular responses.     

A toolkit for studying cellular reorganization during early embryogenesis in Arabidopsis thaliana

Considerable progress has been made in understanding the influence of physical and genetic factors on the patterns of cell division in various model systems. However, how each of these factors directs changes in subcellular structures has remained unclear. Generic machineries for the execution of cell expansion and division have been characterized, but how these are influenced by genetic regulators and physical cell properties remains an open question. To a large degree, the complexity of growing post‐embryonic tissues and a lack of precise predictability have prevented the extraction of rigid correlations between subcellular structures and future orientation of cell division. The Arabidopsis embryo offers an exquisitely predictable and simple model for studying such correlations, but so far the tools and methodology for studying subcellular structures in the early embryo have been lacking. Here, we describe a set of markers to visualize a range of subcellular structures in the early Arabidopsis embryo. We have designed a series of fluorescent cellular reporters optimized for embryos, and demonstrate the effectiveness of using these ‘ACE’ reporters with simple three‐dimensional imaging procedures that preserve delicate cellular structures. We describe the ontogeny of subcellular structures in the early embryo and find that central/peripheral cell polarity is established much earlier than suspected. In addition, we show that the actin and microtubule cytoskeleton has distinct topologies in the embryo. These tools and methods will allow detailed analysis of the events of cellular reorganization that underlie morphogenesis in the Arabidopsis embryo.     

GTP binding proteins: a key role in cellular communication

One of the major steps in the understanding of the hormonal and sensory transduction mechanisms in eukaryotic cells has been the discovery of a family of GTP binding proteins which couple receptors to specific cellular effectors. The absolute requirement of GTP for hormonal stimulation of adenylate cyclase was the initial observation which led to the purification of the protein involved: Gs. Gs couples stimulatory receptors to adenylate cyclase. It is a heterotrimer composed of an alpha chain (45 or 52 kDa), a beta chain (35-36 kDa) and a gamma chain (8 kDa). Several other G proteins of known functions have been purified: Gi, which couples inhibitory receptors to adenylate cyclase, and transducin which couples photoexcited rhodopsin to cyclic GMP phosphodiesterase. Some G proteins of uncertain function have also been purified: Go, a G protein mainly localized in nervous tissues and Gp, a G protein isolated from placenta and platelets. All these G proteins have a common design. Like Gs they all consist of 3 chains: alpha, beta and gamma. The beta chains are nearly identical, whereas the gamma chains are more variable. The alpha chains are different, but share common domains (especially at the level of the GTP binding site). These domains of homologies are also similar to those of other GTP binding proteins, such as the product of the ras gene (p21) and the initiation or elongation factors. alpha Chains are also ADP ribosylated by bacterial toxins. Gs and transducin are targets for cholera toxin, whereas Gi, Go and transducin are targets for pertussis toxin.(ABSTRACT TRUNCATED AT 250 WORDS)     

PyCogent: a toolkit for making sense from sequence

We have implemented in Python the COmparative GENomic Toolkit, a fully integrated and thoroughly tested framework for novel probabilistic analyses of biological sequences, devising workflows, and generating publication quality graphics. PyCogent includes connectors to remote databases, built-in generalized probabilistic techniques for working with biological sequences, and controllers for third-party applications. The toolkit takes advantage of parallel architectures and runs on a range of hardware and operating systems, and is available under the general public license from http://sourceforge.net/projects/pycogent.     

SNPTransformer: a lightweight toolkit for genome-wide association studies

High-throughput genotyping chips have produced huge datasets for genome-wide association studies(GWAS)that have contributed greatly to discovering susceptibility genes for complex diseases.There are two strategies for performing data analysis for GWAS.One strategy is to use open-source or commercial packages that are designed for GWAS.The other is to take advantage of classic genetic programs with specific functions,such as linkage disequilibrium mapping,haplotype inference and transmission disequilibrium tests.However,most classic programs that are available are not suitable for analyzing chip data directly and require custom-made input,which results in the inconvenience of converting raw genotyping files into various data formats.We developed a powerful,user-friendly,lightweight program named SNPTransformer for GWAS that includes five major modules (Transformer,Operator,Previewer,Coder and Simulator).The toolkit not only works for transforming the genotyping files into ten input formats for use with classic genetics packages,but also carries out useful functions such as relational operations on IDs,previewing data files,recoding data formats and simulating marker files,among other functions.It bridges upstream raw genotyping data with downstream genetic programs,and can act as an in-hand toolkit for human geneticists,especially for non-programmers.SNPTransformer is freely available at http://snptransformer.sourceforge.net.     

A versatile assay for the accurate,time-resolved determination of cellular viability

A convenient and versatile method for the accurate, time-resolved determination of cellular viability has been developed. The conventional viability indicator fluorescein diacetate (FDA), which is converted to the fluorescent compound fluorescein in living cells, was employed as a viability probe. Fluorescence emission from cells was measured using a spectrofluorimeter equipped with a magnetic stirrer. Using this assay cell suspensions exhibiting densities in the range 0.5 x 10(5) to 2.0 x 10(5) cells displayed a linear response when FDA concentrations less than 12 micro M were employed. To calibrate the method, viability standards were elaborated using different proportions of living and dead cells, and a correlation coefficient for the viability of tobacco BY-2 suspensions was calculated as 0.998. This viability assay was also found to be applicable to Chlamydomonas reinhardtii and Arabidopsis thaliana cultured cells. Using this cell viability assay, kinetic analyses of cell death could be performed. Using the proteinaceous elicitor from Phytophthora cryptogea, cryptogein, to induce cell death in tobacco cell suspensions, values for the maximum velocity of death induction rate (V(max)) and the LD50 (half-maximal velocity or k(1/2)) were calculated as 17.2 (% death/h) and 65 nM, respectively.     

Intrinsic radiation sensitivity: cellular signaling is the key

The concept that the balance between DNA damage and repair determines intrinsic radiation sensitivity has dominated radiobiology for several decades. There is undeniably a cause- effect relationship between radiation-induced molecular alterations in the genomic DNA and cellular consequences. In the last decade, however, it has become obvious that the chromatin context affects the fate of damaged DNA and that cellular signaling is an important factor in defining intrinsic radiation sensitivity. Damaged DNA is the site of signal generation; however, alternative signaling at the plasma membrane is triggered: Reactive oxygen species (ROS) inactivate phosphatases and consequently cause activation of kinases localized at the plasma membrane; this includes ligand-independent activation of receptor kinases. Cells with an apparently functional DNA repair system may show increased radiation sensitivity due to deficiencies in specific kinases essential for repair activation and checkpoint control. Other signals that determine intrinsic radiosensitivity may affect proneness to apoptosis, the balance between DNA damage fixation and repair, and the translocation of proteins participating in the response to ionizing radiation. Interplay between the various signals decides the extent to which the repair of radiation-inflicted damage is supported or limited; in some cell types, this includes DNA-damage-independent processes guided by plasma membrane-generated signaling. Cellular signaling in the context of specific subcellular structures is the key to understanding how the molecular effects of radiation are expressed as biological consequences in various cell types. A systems approach should bring us closer to this end.