Developing bioimaging and quantitative methods to study 3D genome

The recent advances in chromosome configuration capture (3C)-based series molecular methods and optical super-resolution (SR) techniques offer powerful tools to investigate three dimensional (3D) genomic structure in prokaryotic and eukaryotic cell nucleus. In this review, we focus on the progress during the last decade in this exciting field. Here we at first introduce briefly genome organization at chromosome, domain and sub-domain level, respectively; then we provide a short introduction to various super-resolution microscopy techniques which can be employed to detect genome 3D structure. We also reviewed the progress of quantitative and visualization tools to evaluate and visualize chromatin interactions in 3D genome derived from Hi-C data. We end up with the discussion that imaging methods and 3C-based molecular methods are not mutually exclusive - - - - actually they are complemental to each other and can be combined together to study 3D genome organization.     

Using networks to analyze and visualize the distribution of overlapping genes in virus genomes

Gene overlap occurs when two or more genes are encoded by the same nucleotides. This phenomenon is found in all taxonomic domains, but is particularly common in viruses, where it may increase the information content of compact genomes or influence the creation of new genes. Here we report a global comparative study of overlapping open reading frames (OvRFs) of 12,609 virus reference genomes in the NCBI database. We retrieved metadata associated with all annotated open reading frames (ORFs) in each genome record to calculate the number, length, and frameshift of OvRFs. Our results show that while the number of OvRFs increases with genome length, they tend to be shorter in longer genomes. The majority of overlaps involve +2 frameshifts, predominantly found in dsDNA viruses. Antisense overlaps in which one of the ORFs was encoded in the same frame on the opposite strand (−0) tend to be longer. Next, we develop a new graph-based representation of the distribution of overlaps among the ORFs of genomes in a given virus family. In the absence of an unambiguous partition of ORFs by homology at this taxonomic level, we used an alignment-free k-mer based approach to cluster protein coding sequences by similarity. We connect these clusters with two types of directed edges to indicate (1) that constituent ORFs are adjacent in one or more genomes, and (2) that these ORFs overlap. These adjacency graphs not only provide a natural visualization scheme, but also a novel statistical framework for analyzing the effects of gene- and genome-level attributes on the frequencies of overlaps.     

Light microscopic methods to visualize mitochondria on tissue sections

Mitochondria are cytoplasmic, double-membrane organelles, a main role of which is to synthesize ATP, the universal energy ‘supply’ of cells. In the last three decades, molecular genetic, biochemical, immunological and cell biological techniques have been applied in a coordinated fashion to unveil the pathogenesis of known mitochondrial disorders, as well as to explore the role of mitochondria in aging and neurodegenerative diseases. Once to be thought to be rare, it is now clear that mitochondrial dysfunction is an important cause of neurological and cardiac diseases, and age-related disorders such as cancer. Here, we review, illustrate, and provide updated protocols of two histochemical, and three immunohistochemical methods that in our opinion are the most reliable tools to visualize mitochondria on tissue sections from normal and disease specimens.     

SynteBase/SynteView: a tool to visualize gene order conservation in prokaryotic genomes

Background

Most microarray studies are made using labelling with one or two dyes which allows the hybridization of one or two samples on the same slide. In such experiments, the most frequently used dyes areCy3 andCy5. Recent improvements in the technology (dye-labelling, scanner and, image analysis) allow hybridization up to four samples simultaneously. The two additional dyes areAlexa488 andAlexa494. The triple-target or four-target technology is very promising, since it allows more flexibility in the design of experiments, an increase in the statistical power when comparing gene expressions induced by different conditions and a scaled down number of slides. However, there have been few methods proposed for statistical analysis of such data. Moreover the lowess correction of the global dye effect is available for only two-color experiments, and even if its application can be derived, it does not allow simultaneous correction of the raw data.

Results

We propose a two-step normalization procedure for triple-target experiments. First the dye bleeding is evaluated and corrected if necessary. Then the signal in each channel is normalized using a generalized lowess procedure to correct a global dye bias. The normalization procedure is validated using triple-self experiments and by comparing the results of triple-target and two-color experiments. Although the focus is on triple-target microarrays, the proposed method can be used to normalizepdifferently labelled targets co-hybridized on a same array, for any value ofpgreater than 2.

Conclusion

The proposed normalization procedure is effective: the technical biases are reduced, the number of false positives is under control in the analysis of differentially expressed genes, and the triple-target experiments are more powerful than the corresponding two-color experiments. There is room for improving the microarray experiments by simultaneously hybridizing more than two samples.     

Evaluating methods to visualize patterns of genetic differentiation on a landscape

With advances in sequencing technology, research in the field of landscape genetics can now be conducted at unprecedented spatial and genomic scales. This has been especially evident when using sequence data to visualize patterns of genetic differentiation across a landscape due to demographic history, including changes in migration. Two recent model‐based visualization methods that can highlight unusual patterns of genetic differentiation across a landscape, SpaceMix and EEMS, are increasingly used. While SpaceMix's model can infer long‐distance migration, EEMS’ model is more sensitive to short‐distance changes in genetic differentiation, and it is unclear how these differences may affect their results in various situations. Here, we compare SpaceMix and EEMS side by side using landscape genetics simulations representing different migration scenarios. While both methods excel when patterns of simulated migration closely match their underlying models, they can produce either un‐intuitive or misleading results when the simulated migration patterns match their models less well, and this may be difficult to assess in empirical data sets. We also introduce unbundled principal components (un‐PC), a fast, model‐free method to visualize patterns of genetic differentiation by combining principal components analysis (PCA), which is already used in many landscape genetics studies, with the locations of sampled individuals. Un‐PC has characteristics of both SpaceMix and EEMS and works well with simulated and empirical data. Finally, we introduce msLandscape, a collection of tools that streamline the creation of customizable landscape‐scale simulations using the popular coalescent simulator ms and conversion of the simulated data for use with un‐PC, SpaceMix and EEMS.     

Rapid methods to visualize Y-specific repeated DNA sequences in cytological preparations

We described rapid methods to detect Y-specific repeated DNA sequences in cytological preparations using in situ hybridization. A human Y chromosome specific DNA probe with an insert equivalent to that in pHY2.1 was labelled with [alpha-32P]dCTP or photobiotin, and hybridized to chromosome preparations. Signals were visualized specifically on Y chromosomes after 1 day's autoradiography or a couple of hours treatment with streptavidin alkaline phosphatase/BCIP/NBT. These methods are useful for molecular confirmation of Y-autosomal translocations.     

PRIDEViewer: a novel user-friendly interface to visualize PRIDE XML files

Current standardization initiatives have greatly contributed to share the information derived by proteomics experiments. One of these initiatives is the XML-based repository PRIDE (PRoteomics IDEntification database), although an XML-based document does not appear to present a user-friendly view at the first glance. PRIDEViewer is a novel Java-based application that presents the information available in a PRIDE XML file in a user-friendly manner, facilitating the interaction among end users as well as the understanding and evaluation of the compiled information. PRIDEViewer is freely available at: http://proteo.cnb.csic.es/prideviewer/.     

Bacterial genomes pave the way to novel vaccines

The availability of complete genome sequences of pathogens has dramatically changed the scope for developing improved and novel vaccines by increasing the speed of target identification. Genomics-based technologies have many advantages, compared to conventional approaches, which are time-consuming and usually identify only abundant antigens that are expressible under in vitro culture conditions. This review focuses on recent reports of genomics-based strategies that can be applied to most pathogens and that exploit genome sequence information in alliance with adjunct technologies, including bioinformatics, expression analyses, random mutagenesis or protein/peptide-based selection methods. Despite the caveats that are associated with the individual approaches, these technologies have already made major contributions to the identification and selection of novel vaccine candidates to combat bacterial infections.     

SPdel: A pipeline to compare and visualize species delimitation methods for single-locus datasets

An accurate species delimitation is critical for biological studies. In this context, the use of molecular techniques along with species delimitation methods would help to a rapid and accurate biodiversity assessment. The species delimitation methods cluster data sets of orthologous sequences in molecular operational taxonomic units (MOTU). In particular, the methods based on a single gene are easily integrated with the widely used DNA barcoding approach. We developed SPdel a user-friendly pipeline to integrate different single-gene species delimitation methods. SPdel is designed to calculate and compare MOTUs obtained by different species delimitation approaches. SPdel also outputs diverse ready-to-publish quality figures, that facilitate the interpretation of results. SPdel aims to help researchers use species delimitation methods that would improve biodiversity studies.     

The transgeneticist's toolbox: novel methods for the targeted modification of eukaryotic genomes

Classical techniques for gene transfer into mammalian cells involve tedious screening procedures to identify transgenic clones or animals with the appropriate level and stability of expression or with the correct developmental patterns. These first generation technologies are clearly inadequate for complex genetic strategies by which gene regulation can be studied in its entire complexity. While site-specific insertions can principally be achieved by homologous recombination or by adapting the recombination apparatus from phages or yeast, these methods usually lack the required efficiency or they perturb expression patterns by the co-insertion of prokaryotic vector parts. Virtually all of these problems can be overcome by recombinase-mediated cassette exchange (RMCE) techniques which cleanly replace a resident cassette that is flanked by two hetero-specific recombination target sites for a second cassette with the analogous design, presented on a targeting vector. After illustrating the fundamentals of site-specific recombination by selected experiments, the authors (arranged in the chronological order of their contribution) will describe their efforts to develop RMCE into a method of wide applicability. Further developments that have been initiated utilizing the particular potential of the RMCE principle will be outlined.     

A novel approach to visualize polyclonal virus-specific CD8 T cells in vivo

Recent technical breakthroughs in generating soluble MHC class I-peptide tetramers now allow the direct visualization of virus-specific CD8 T cells after infection in vivo. However, this technique requires the knowledge of the immunodominant viral epitopes recognized by T cells. Here, we describe an alternative approach to visualize polyclonal virus-specific CD8 T cells in vivo using a simple adoptive transfer system. In our approach, C57BL/6 (Thy1.2) mice were infected with lymphocytic choriomeningitis virus, vesicular stomatitis virus, or vaccinia virus to induce virus-specific memory T cells. Tracer T cells (2 x 106) from these virus-immune mice were adoptively transferred into nonirradiated (C57BL/6 x B6.PL-Thy-1a)F1 mice. After infection of the F1-recipient mice with the appropriate virus, the transferred cells expanded vigorously, and on day 8 postinfection 60-80% of total CD8 T cells were of donor T cell origin. Under the same conditions memory CD4 T cells gave rise to at least 10 times less cell numbers than memory CD8 T cells. The transfer system described here not only allows to visualize effector and memory CD8 T cells in vivo but also to isolate them for further in vitro characterization without knowing the epitopes recognized by these Ag-specific CD8 T cells.     

Mining genomes and 'metagenomes' for novel catalysts

Advances in the field of genomics and 'metagenomics' have dramatically revised our view of microbial biodiversity and its potential for biotechnological applications. Considering the estimation that >99% of microorganisms in most environments are not amenable to culturing, very little is known about their genomes, genes and encoded enzymatic activities. The isolation, archiving and analysis of environmental DNA (or so-called 'metagenomes') has enabled us to mine microbial diversity, allowing us to access their genomes, identify protein coding sequences and even to reconstruct biochemical pathways, providing insights into the properties and functions of these organisms. The generation and analysis of (meta)genomic libraries is thus a powerful approach to harvest and archive environmental genetic resources. It will enable us to identify which organisms are present, what they do, and how their genetic information can be beneficial to mankind.     

Assessing the limits of restraint-based 3D modeling of genomes and genomic domains

Restraint-based modeling of genomes has been recently explored with the advent of Chromosome Conformation Capture (3C-based) experiments. We previously developed a reconstruction method to resolve the 3D architecture of both prokaryotic and eukaryotic genomes using 3C-based data. These models were congruent with fluorescent imaging validation. However, the limits of such methods have not systematically been assessed. Here we propose the first evaluation of a mean-field restraint-based reconstruction of genomes by considering diverse chromosome architectures and different levels of data noise and structural variability. The results show that: first, current scoring functions for 3D reconstruction correlate with the accuracy of the models; second, reconstructed models are robust to noise but sensitive to structural variability; third, the local structure organization of genomes, such as Topologically Associating Domains, results in more accurate models; fourth, to a certain extent, the models capture the intrinsic structural variability in the input matrices and fifth, the accuracy of the models can be a priori predicted by analyzing the properties of the interaction matrices. In summary, our work provides a systematic analysis of the limitations of a mean-field restrain-based method, which could be taken into consideration in further development of methods as well as their applications.     

Fluorescence-based methods to image palmitoylated proteins

A well known function of palmitoylation is to promote protein binding to cell membranes. Until recently, it was unclear what additional roles, if any, palmitoylation has in controlling protein localization in cells. Recent studies of palmitoylated forms of the small GTPase Ras have now revealed that palmitoylation plays multiple roles in the regulation of protein trafficking, including targeting proteins into the secretory pathway and recycling proteins between the plasma membrane and Golgi complex. We here describe how quantitative fluorescence microscopy and photobleaching approaches can be used to study the intracellular targeting and trafficking of GFP-tagged palmitoylated proteins in living cells. We discuss (1) general considerations for fluorescence recovery after photobleaching (FRAP) measurements of GFP-tagged proteins; (2) FRAP-based assays to test the strength of binding of palmitoylated proteins to cell membranes; (3) methods to establish the kinetics and mechanisms of recycling of palmitoylated proteins between the Golgi complex and the plasma membrane; (4) the use of the palmitoylation inhibitor 2-bromo-palmitate as a tool to study the dynamic regulation of protein targeting and trafficking by palmitate turnover.     

Use of image analysis software as a tool to visualize non-radioactive signals in plantin situ analysis

In situ hybridization (ish) allows the visualization of gene expression in tissues at high microscopic resolution. Interference by plant tissue pigments generally confers higher sensitivity to radioactiveish, relative to non-radioactiveish using hapten labeled probes. The increased resolution is partially due to image acquisition methods in radioactiveish experiments. However, radioactiveish has many drawbacks including short probe life, safety concerns associated with the use of radioactive materials, and slow development of signal. In this report, we show how commercially available image analysis software can be used to extract data from non-radioactiveish images to gain a substantial increase in resolution. We provide a comparison between detecting a probe (CELLULOSE SYNTHASE) that is expected to produce a consistent, detectable signal in all growing tissues with detection of a probe (LEAFY)that is expected to produce a signal only in specific tissues. Although the scientific content of this article has been reviewed,the full-text Web publication has not been edited in detail.     

Developing X-ray Computed Tomography to non-invasively image 3-D root systems architecture in soil

Background

The positive relationship between biodiversity and ecosystem functioning (BEF) is due mainly to complementarity between species. Most BEF studies primarily focused on plant interactions; however, plants are embedded in a dense network of multitrophic interactions above and below the ground, which are likely to play a crucial role in BEF relationships.

Scope

In the present review I point out the relevance of aboveground–belowground interactions as a source of complementarity effects in grassland biodiversity experiments. A review of the current knowledge on the role of decomposers, arbuscular mycorrhizal fungi, rhizobia, plant growth promoting rhizobacteria, invertebrate ecosystem engineers, herbivores, pathogens and predators in biodiversity experiments, indicates that soil biota can drive both positive and negative complementarity between plant species via a multitude of mechanisms.

Conclusions

I pose four main processes by which aboveground–belowground interactions determine positive complementarity effects: enlarging biotope space, mediating legume effects, increasing plant community resistance, and maintaining plant diversity. By contrast, soil biota may also reinforce negative complementarity effects by competing with plants for nutrients or by exerting herbivore or pathogen pressure, thereby reducing community productivity. Thus, considering aboveground–belowground interactions as well as interactions between antagonistic and mutualistic consumers may improve the mechanistic understanding of complementarity effects in plant diversity–ecosystem functioning experiments and should inspire future research.     

Phase correlation applied to the 3D registration of CT and CBCT image volumes

PurposeIn this study, a 3D phase correlation algorithm was investigated to test feasibility for use in determining the anatomical changes that occur throughout a patient's radiotherapy treatment. The algorithm determines the transformations between two image volumes through analysis in the Fourier domain and has not previously been used in radiotherapy for 3D registration of CT and CBCT volumes.MethodsVarious known transformations were applied to a patient's prostate CT image volume to create 12 different test cases. The mean absolute error and standard deviation were determined by evaluating the difference between the known contours and those calculated from the registration process on a point-by-point basis. Similar evaluations were performed on images with increasing levels of noise added. The improvement in structure overlap offered by the algorithm in registering clinical CBCT to CT images was evaluated using the Dice Similarity Coefficient (DSC).ResultsA mean error of 2.35 (σ = 1.54) mm was calculated for the 12 deformations applied. When increasing levels of noise were introduced to the images, the mean errors were observed to rise up to a maximum increase of 1.77 mm. For CBCT to CT registration, maximum improvements in the DSC of 0.09 and 0.46 were observed for the bladder and rectum, respectively.ConclusionsThe Fourier-based 3D phase correlation registration algorithm investigated displayed promising results in CT to CT and CT to CBCT registration, offers potential in terms of efficiency and robustness to noise, and is suitable for use in radiotherapy for monitoring patient anatomy throughout treatment.