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PubMed2025

dCas-Based Tools to Visualize Chromatin or Modify Epigenetic Marks at Specific Plant Genomic Loci.

Development of locus-specific approaches targeting precise regions on chromatin, for locus/transcription visualization or transcription/epigenetic marks editing, is a critical challenge in functional genetics and epigenetics. Systems engineered from the clustered regularly interspaced short palindromic repeats (CRISPR) and its associated endonuclease (Cas) operate through DNA sequence-specific recognition by so-called guide RNAs, which provides high flexibility and modularity for precise chromatin visualization or edition. Here, we provide an overview of the CRISPR/Cas-derived tools developed for visualization of chromatin loci in live imaging or for effective modification of gene expression. These tools make use of effector modules that combine activators, repressors, and epigenetic modifiers with a deactivated Cas protein (dCas). We present how their use in plants brought advances in visualizing or manipulating the expression of loci involved in agronomically interesting traits such as flowering time and response to drought or heat. We also discuss the limitations and future improvements of the dCas-related technologies, such as more compact and combinatorial systems, spatiotemporal targeting for fine-tuning of gene expression, and live visualization of chromatin dynamics.

Chromatin↗
PubMed2002

Visualization of K-tuple distribution in procaryote complete genomes and their randomized counterparts.

A few years ago we developed a simple scheme to visualize the string composition of long DNA sequences in terms of two- and one-dimensional (2D and 1D) histograms. While the patterns in the 2D histograms have been well understood, the structure of the 1D histograms has not been analyzed in details. It turns out that the structure of the 1D histograms of the genomic sequences and their randomized counterparts varies significantly depending on the g+c content of the genomes. In particular, the 1D histograms of some randomized sequences may show rich structure, a seemingly anti-intuitive result. Three approaches are used to explain the phenomenon: (1) Monte Carlo simulation, (2) exact computation by using the Goulden-Jackson cluster method, and (3) a Poisson approximation method. The multi-modal phenomena in K-histograms are well elucidated by the last approach.

Base Composition↗
PubMed2002

Genome structures embossed by oligonucleotide-stickiness.

MOTIVATION: An unmanageably large amount of data on genome sequences is accumulating, prompting researchers to develop new methods to analyze them. We have devised a novel method designated oligostickiness, a measure roughly proportional to the binding affinity of an oligonucleotide to a DNA of interest, in order to analyze genome sequences as a whole. RESULTS: Fifteen representative genomes such as Bacillus subtilis, Escherichia coli, Saccharomyces cerevisiae, Caenorhabditis elegans, H. sapiens and others were analyzed by this method using more than 50 probe dodecanucleotides, offering the following findings: (i) Genome sequences can be specifically featured by way of oligostickiness maps. (ii) Oligostickiness analysis, which is similar to but more informative than (G + C) content or repetitive sequence analysis, can reveal intra-genomic structures such as mosaic structures (E. coli and B. subtilis) and highly sticky/non-sticky regions of biological meanings. (iii) Some probe oligonucleotides such as dC(12) and dT(12) can be used for classifying genomes, clearly discriminating prokaryotes and eukaryotes. (iv) Based on global oligostickiness, which is the average value of the local oligostickinesses, the features of a genome could be visualized in spider web mode. The pattern of a spider web as well as a set of oligostickiness maps is highly characteristic to each genome or chromosome. Thus, we called it as chromosome texture, leading to a finding that all the chromosomes contained in a cell, so far investigated, have a common texture. AVAILABILITY: Oligostickinesses maps used in this work are available at http://gp.fms.saitama-u.ac.jp/ CONTACT: koichi@fms.saitama-u.ac.jp

Algorithms↗
PubMed2025

Pedigree Painter (pepa): a tool for the visualization of genetic inheritance in chromosomal context.

MOTIVATION: Data visualization is increasingly important in genomics, enabling researchers to uncover inheritance and recombination patterns across generations. While most existing tools focus on ancestry prediction, they lack functionality for analyzing known ancestries in controlled settings, such as determining parental contributions to offspring genomes. To address this gap, I developed pepa, a lightweight, deterministic, modular tool that visualizes and quantifies genomic inheritance, designed for beginner and advanced users. RESULTS: pepa is a program for processing VCF files, assigning ancestries to homozygous SNPs, and clustering them into biologically meaningful regions. It generates human-readable comparison tables and visualizes inheritance patterns with chromosome paintings through R. Tested on fission yeast, pepa revealed non-uniform recombination patterns, with chromosomes largely inherited from one parent and seemingly random recombination. Quantitative analyses showed differences in parental contributions at the nucleotide and gene levels, with some offspring inheriting similar percentages from parents. However, the painted chromosomes revealed that even offspring with similar percentages from one parent rarely inherit the same genomic region, highlighting the importance of this tool in drawing biologically meaningful insights. pepa provides an accessible and powerful solution for analyzing genomic inheritance, bridging experimental and computational biology. Its modular design and minimal dependencies allow adaptation to diverse organisms, facilitating intuitive visualization and quantitative insights into recombination dynamics.

Pedigree↗
PubMed2001

Virtual genome scan: a tool for restriction landmark-based scanning of the human genome.

There is substantial interest in implementing technologies that allow comparisons of whole genomes of individuals and of tissues and cell populations. Restriction landmark genome scanning (RLGS) is a highly resolving gel-based technique in which several thousand fragments in genomic digests are visualized simultaneously and quantitatively analyzed. The widespread use of RLGS has been hampered by difficulty in deriving sequence information for displayed fragments and a lack of whole-genome sequence-based framework for interpreting RLGS patterns. We have developed informatics tools for comparisons of sample derived RLGS patterns with patterns predicted from the human genome sequence and displayed as Virtual Genome Scans (VGS). The tools developed allow sequence prediction of fragments in RLGS patterns obtained with different restriction enzyme combinations. The utility of VGS is demonstrated by the identification of restriction fragment length polymorphisms, and of amplifications, deletions, and methylation changes in tumor-derived CpG islands and the characterization of an amplified region in a breast tumor that spanned <230 kb on 17q23.

Breast Neoplasms↗
PubMed2003

MuGeN: simultaneous exploration of multiple genomes and computer analysis results.

MOTIVATION: The availability of increasing amounts of sequence data about completely sequenced genomes spurs the development of new methods in the fields of automated annotation, and of comparative genomics. Tools allowing the visualization of results produced by analysis methods, superimposed on possibly annotated sequence data, and enabling synchronized navigation in multiple genomes, provide new means for interactive genome exploration. This kind of visual inspection can be used as a basis to assess the quality of new analysis algorithms, or to discover genome portions to be subjected to in-depth studies. RESULTS: We propose a software package, MuGeN, built for navigating through multiple annotated genomes. It is capable of retrieving annotated sequences in several formats, stored in local files, or available in databases over the network. From these, it then generates an interactive display, or an image file, in most common formats suitable for printing, further editing or integrating in Web pages. Genome maps may be mixed with computer analysis results loaded from XML files, whose format is generic enough to be adapted to a majority of sequence oriented analysis methods. AVAILABILITY: MuGeN is available at http://www-mig.jouy.inra.fr/bdsi/MuGeN.

Computer Graphics↗
PubMed1995

FISH in genome research and molecular diagnostics.

Fluorescence in situ hybridization (FISH) has profoundly altered the aspect of genome research and molecular diagnostics. Deletions of only a few kilobases can be detected by hybridizing probes to naked DNA fibers. Loss or gain of chromosomal material in tumor cells can be visualized using comparative genome hybridization. Further diversification of FISH application will result from new ultrasensitive detection techniques.

Chromosome Aberrations↗
PubMed2004

Genomic heterogeneity and instability in colorectal cancer: spectral karyotyping, glutathione transferase-Ml and ras.

Genomic instability in cancer is frequently described as being either chromosomal instability or microsatellite instability, although when events within chromosomes are monitored, extensive intrachromosomal instability is also found. Spectral karyotyping was used to visualize how extensively genomic instability gives rise to intratumor genomic heterogeneity in sporadic colorectal carcinomas. Two factors were then examined which might relate to intrachromosomal instability in colorectal cancers: the presence of the glutathione transferase-Ml gene to detoxify potential carcinogens, and the presence of activated ras which has been associated with chromosomal instability when first expressed. Intrachromosomal genomic instability was previously determined by inter-(simple sequence repeat) PCR (inter-SSR PCR) and by fractional allelic loss rate for 348 markers. GSTM1 status was determined for each of 49 tumors through use of specific PCR, and 28 of the tumors showed the GSTM1 null genotype. A significant association was found between GSTMl-null status and elevated inter-(simple sequence repeat) PCR instability. In contrast, no association was found with fractional allelic loss rate. The first exons of the K-ras and H-ras oncogenes were sequenced in 72 colorectal cancers; 19 of the tumors had a mutation in codon 12 of the K-ras gene (24.5%), but no H-ras mutations were found. A weak correlation (p=0.10) was observed between mutant K-ras and inter-(simple sequence repeat) PCR genomic instability, and no association existed with fractional allelic loss rate.

Colorectal Neoplasms↗
PubMed1992

Mosaic analysis gives an estimate of the extent of genomic involvement in the development of the visual system in Drosophila melanogaster.

To investigate the role of vital loci in the development of the visual system of Drosophila, we induced mitotic recombination in individuals heterozygous for recessive organismal lethals and selected for analysis the resulting mosaics with homozygous mutant eye clones. Heads bearing clones were serially sectioned, silver-stained and examined for aberrations in the ommatidia and the neural structures to which they project. In our screen of 68 lines bearing diepoxybutane-induced X-linked lethals, 26 yielded few or no homozygous mutant clones (putative cell-lethals). Of the rest, 20 lines produced individuals with morphologically abnormal eye clones showing various degrees of aberrations in the ommatidial architecture. In 14 of these 20, the laminar cartridges innervated by the mutant clones were also disorganized. Clones with normal structure were found in 18 of the lines, and three lines were resistant to the induction of mitotic recombination. In a single line, comparatively normal clones in the eye projected to a lamina with subtle but consistent abnormalities. To the extent that we have a representative sample, these results suggest that about two-thirds of all vital genes may be essential for the normal assembly and neural connectivity of the eye. This points to a high degree of pleiotropy in the manner in which information in the genome of the fly is used in development.

Animals↗
PubMed1978

Intervening polyadenylate sequences in RNA transcripts of vesicular stomatitis virus.

Purified and partially resolved vesicular stomatitis virus (VSV) messenger RNA has been annealed to the VSV genomic RNA and visualized in the electron microscope under conditions in which duplex regions have a wider image width than single-stranded RNA. The locations of the intercistronic boundaries between the messages have been mapped on the VSV genome. The contour of the double-stranded regions is occasionally interrupted by looped-out single-stranded RNA. The loops are comprised of post transcriptionally synthesized polyadenylate. Most of these structures are found at the intercistronic boundaries and covalently bridge adjacent message sequences. In this paper, we discuss the possible significance of these loops.

Chromosome Mapping↗
PubMed1994

Polyacrylamide gel electrophoresis of viral genomic RNA as a diagnostic method for infectious pancreatic necrosis virus detection.

A rapid and simple technique for the diagnosis of IPNV from cell culture and infected fish tissues has been developed. It is based on the observation of IPNV bisegmented double-stranded RNA genome in silver stained polyacrylamide gels after electrophoresis. The method is highly specific and can detect as little as 1 ng of viral RNA, which corresponds to 1 x 10(5) pfu, making it possible to visualize the viral genome as soon as the initial cythopatic effect appears. Furthermore, the RNA viral genome could be detected directly from fish tissues when fish showed clear clinical signs of the disease. The method has the advantage of detecting any strain of IPNV. An acrylamide concentration of 6% and bisacrylamide concentration of 0.13% give a rapid and definitive result in less than 6 h.

Animals↗
PubMed2025

mettannotator: a comprehensive and scalable Nextflow annotation pipeline for prokaryotic assemblies.

SUMMARY: In recent years, there has been a surge in prokaryotic genome assemblies, coming from both isolated organisms and environmental samples. These assemblies often include novel species that are poorly represented in reference databases creating a need for a tool that can annotate both well-described and novel taxa, and can run at scale. Here, we present mettannotator-a comprehensive, scalable Nextflow pipeline for prokaryotic genome annotation that identifies coding and noncoding regions, predicts protein functions, including antimicrobial resistance, and delineates gene clusters. The pipeline summarizes these results in a GFF (General Feature Format) file that can be easily utilized in downstream analysis or visualized using common genome browsers. Here, we show how it works on 200 genomes from 29 prokaryotic phyla, including isolate genomes and known and novel metagenome-assembled genomes, and present metrics on its performance in comparison to other tools. AVAILABILITY AND IMPLEMENTATION: The pipeline is written in Nextflow and Python and published under an open source Apache 2.0 licence. Instructions and source code can be accessed at https://github.com/EBI-Metagenomics/mettannotator. The pipeline is also available on WorkflowHub: https://workflowhub.eu/workflows/1069.

Software↗
PubMed2000

Annotating eukaryote genomes.

The Genome Annotation Assessment Project tested current methods of gene identification, including a critical assessment of the accuracy of different methods. Two new databases have provided new resources for gene annotation: these are the InterPro database of protein domains and motifs, and the Gene Ontology database for terms that describe the molecular functions and biological roles of gene products. Efforts in genome annotation are most often based upon advances in computer systems that are specifically designed to deal with the tremendous amounts of data being generated by current sequencing projects. These efforts in analysis are being linked to new ways of visualizing computationally annotated genomes.

Animals↗
PubMed2003

Visualization by cryo-electron microscopy of genomic RNA that binds to the protein capsid inside bacteriophage MS2.

The icosahedrally symmetrized structure of bacteriophage MS2 as determined by cryo-electron microscopy (EM) reveals the presence of genomic RNA that attaches to coat-protein dimers. Earlier X-ray diffraction studies revealed similar interactions between the unique operator hairpin of the MS2 genomic RNA and the coat-protein dimer. This observation leads us to conclude that not only the operator, but also many other RNA sequences in the genome of MS2, are able to bind to the coat-protein dimer. A substantial number of potential coat-protein-dimer binding sites are present in the genome of MS2 that can account for the observed RNA densities in the EM map. Moreover, it appears that these stem-loop structures are able to bind in a similar fashion to the coat protein dimer as the wild-type operator hairpin. The EM map also shows additional density between the potential operator-binding sites, linking the RNA stem-loops together to form an icosahedral network around the 3 and 5-fold axes. This RNA network is bound to the inside of the MS2 capsid and probably influences both capsid stability and formation, supporting the idea that capsid formation and RNA packaging are intimately linked to each other.

Capsid Proteins↗
PubMed2001

yMGV: a database for visualization and data mining of published genome-wide yeast expression data.

The yeast Microarray Global Viewer (yMGV) is an on-line database providing a synthetic view of the transcriptional expression profiles of Saccharomyces cerevisiae genes in most of the published expression datasets. yMGV displays a one-screen graphical representation of gene expression variations for each published genome-wide experiment, allowing quick retrieval of experimental conditions affecting expression of this gene. yMGV also provides tools to isolate groups of genes sharing similar transcription profiles in a defined subset of experiments. Additionally, yMGV furnishes a set of statistical tools for critical assessment of published data. We therefore believe that yMGV is an efficient tool that affords a quick and comprehensive overview of microarray data and generates new gene classifications. As of 20 March 2001 the yMGV database contains 6 000 000 measurements, representing genome-wide expression comparisons of 932 experiments from 39 microarray publications. The yMGV interface is available at http://transcriptome.ens.fr/ymgv/.

Computational Biology↗
PubMed2025

SVbyEye: a visual tool to characterize structural variation among whole-genome assemblies.

MOTIVATION: We are now in the era of being able to routinely generate highly contiguous (near telomere-to-telomere) genome assemblies of human and nonhuman species. Complex structural variation and regions of rapid evolutionary turnover are being discovered for the first time. Thus, efficient and informative visualization tools are needed to evaluate and directly observe structural differences between two or more genomes. RESULTS: We developed SVbyEye, an open-source R package to visualize and annotate sequence-to-sequence alignments along with various functionalities to process these alignments. The tool facilitates the characterization of complex structural variants in the context of sequence homology helping resolve the mechanisms underlying their formation. AVAILABILITY AND IMPLEMENTATION: SVbyEye is available on GitHub (https://github.com/daewoooo/SVbyEye) and via Zenodo (https://doi.org/10.5281/zenodo.15303553).

Software↗
PubMed1990

Subcellular localization of low-abundance human immunodeficiency virus nucleic acid sequences visualized by fluorescence in situ hybridization.

Detection and subcellular localization of human immunodeficiency virus (HIV) were investigated using sensitive high-resolution in situ hybridization methodology. Lymphocytes infected with HIV in vitro or in vivo were detected by fluorescence after hybridization with either biotin or digoxigenin-labeled probes. At 12 hr after infection in vitro, a single intense signal appeared in the nuclei of individual cells. Later in infection, when cytoplasmic fluorescence became intense, multiple nuclear foci frequently appeared. The nuclear focus consisted of newly synthesized HIV RNA as shown by hybridization in the absence of denaturation and by susceptibility to RNase and actinomycin D. Virus was detected in patient lymphocytes and it was shown that a singular nuclear focus also characterizes cells infected in vivo. The cell line 8E5/LAV containing one defective integrated provirus revealed a similar focus of nuclear RNA, and the single integrated HIV genome was unequivocally visualized on a D-group chromosome. This demonstrates an extremely sensitive single-cell assay for the presence of a single site of HIV transcription in vitro and in vivo and suggests that it derives from one (or very few) viral genomes per cell. In contrast, productive Epstein-Barr virus infection exhibited many foci of nuclear RNA per cell.

Cell Nucleus↗
PubMed2005

PentaPlot: a software tool for the illustration of genome mosaicism.

BACKGROUND: Dekapentagonal maps depict the phylogenetic relationships of five genomes in a visually appealing diagram and can be viewed as an alternative to a single evolutionary consensus tree. In particular, the generated maps focus attention on those gene families that significantly deviate from the consensus or plurality phylogeny. PentaPlot is a software tool that computes such dekapentagonal maps given an appropriate probability support matrix. RESULTS: The visualization with dekapentagonal maps critically depends on the optimal layout of unrooted tree topologies representing different evolutionary relationships among five organisms along the vertices of the dekapentagon. This is a difficult optimization problem given the large number of possible layouts. At its core our tool utilizes a genetic algorithm with demes and a local search strategy to search for the optimal layout. The hybrid genetic algorithm performs satisfactorily even in those cases where the chosen genomes are so divergent that little phylogenetic information has survived in the individual gene families. CONCLUSION: PentaPlot is being made publicly available as an open source project at http://pentaplot.sourceforge.net.

Algorithms↗