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PubMed2005

BarleyBase--an expression profiling database for plant genomics.

BarleyBase (BB) (www.barleybase.org) is an online database for plant microarrays with integrated tools for data visualization and statistical analysis. BB houses raw and normalized expression data from the two publicly available Affymetrix genome arrays, Barley1 and Arabidopsis ATH1 with plans to include the new Affymetrix 61K wheat, maize, soybean and rice arrays, as they become available. BB contains a broad set of query and display options at all data levels, ranging from experiments to individual hybridizations to probe sets down to individual probes. Users can perform cross-experiment queries on probe sets based on observed expression profiles and/or based on known biological information. Probe set queries are integrated with visualization and analysis tools such as the R statistical toolbox, data filters and a large variety of plot types. Controlled vocabularies for gene and plant ontologies, as well as interconnecting links to physical or genetic map and other genomic data in PlantGDB, Gramene and GrainGenes, allow users to perform EST alignments and gene function prediction using Barley1 exemplar sequences, thus, enhancing cross-species comparison.

Arabidopsis↗

PubMed2001

Comparisons of gene colinearity in genomes using GeneOrder2.0.

Comparative genomics is enhanced by data mining the rapidly expanding DNA sequence databases. Because of the immense amount of data, computational tools and methods are needed to augment traditional manual visualizations and manipulations of these data. GeneOrder2.0, a Java-based interactive software programme, organizes genome sequence data into tabular and graphical visualizations of the extent of colinearity of genes between any two chromosome genomes of < or =250 kilobases. Both GenBank and proprietary data can be analyzed with this tool.

Computational Biology↗

PubMed2025

Combined somatic mutation and transcriptome analysis reveals region-specific differences in clonal architecture in human cortex.

The human cerebral cortex is specialized into regions, but little is known about how human cellular lineages shape cortical regional variation and neuronal cell-type distribution during development. Here, we map single-cell lineages of human cortical regions and neuronal subtypes using >1,000 somatic single-nucleotide variants (sSNVs) identified from deep bulk whole-genome sequencing and analyzed over 25 regions and >72,000 single cells. In the fronto-parietal cortex, sSNVs are rarely restricted, marking neuron-generating clones that disperse into neighboring regions. In contrast, the primary visual cortex harbors 30%-70% more sSNVs than the neighboring secondary visual cortex. Clones at this border exhibit more restricted dispersion, suggesting late developmental lineage segregation. Single-nucleus sSNV and whole-transcriptome analysis reveal glutamatergic neuron clones with modest regional restrictions that share low-mosaic sSNVs with some GABAergic neurons, suggesting a recent dorsal cortical progenitor. Our analysis reveals human-specific cortical lineage patterns, regional differences in clonal patterns, and late divergence of some glutamatergic/GABAergic lineages.

Humans↗

PubMed1971

Host-gene control of C-type tumor virus-expression and tumorigenesis: relevance of studies in inbred mice to cancer in man and other species.

C-type RNA viruses are tumorigenic in mice and other species. They are widespread and transmitted in an intimate relationship with host-cell genetic material. Tumorigenesis is no doubt a complex biological phenomenon, and involves both genetic and environmental factors. Among the genetic factors, single-locus determination is probably exceptional; yet, a number of genes are known in inbred mice and other species, including man, that can exert a major influence. Clearly, studies with inbred mice apply outside the murine model and justify generalizations on the etiology of cancer. The types of cancer observed in man are similar to those of inbred strains of mice, and their stochastic and often familial occurrences suggest that genetic factors play important roles in both man and mouse. A number of heritable disorders predipsose to tumorigenesis. Investigations of the relationship between various polymorphic phenotypes and human tumors should be intensified. For instance, a study of high-risk human-tumor groups could aid considerably not only in the recognition of etiological agents but also of underlying host-gene controlled mechanisms. Indeed epidemiological studies have already led to the identification of mutant genes that influence the incidence of human cancer. Such studies may be guided by findings in inbred strains of mice. There is good evidence in inbred mice that mutations in host chromosomes determine whether or not genes coding for RNA oncogene viral "functions" become expressed as cancer. Although an etiological role of C-type RNA virus has not yet been demonstrated in human cancer, studies of the interaction of viral and host-cell genomes in mice and other species, and the visualization of C-type virus in human tumors have provided good reasons for suspecting the presence in man of oncogenic genes (oncogenes) homologous to those of the C-type viral genomes, which are well studied in mice, hamsters, cats, rats, and chickens.

Animals↗

PubMed2026

MultiDMPcaller: a one-stop software for detection and visualization of differentially methylated positions and regions.

MOTIVATION: Whole-genome bisulfite sequencing (WGBS/BS-Seq) is the gold standard for single-base resolution DNA methylome profiling. However, the diverse statistical models of existing computational methods lead to limited overlap between their results, highlighting the need for novel methods to detect differentially methylated positions (DMPs) and differentially methylated regions (DMRs). RESULTS: We developed MultiDMPcaller, an automated downstream methylome analysis software. It processes upstream outputs to profile DMPs, non-DMPs, DMRs, and context-specific (CpG/CHG/CHH) methylation status, alongside visualizing their chromosomal distribution and enrichment. The software features two key innovations: (i) an adaptive two-step P-value adjustment strategy based on organism-specific methylation patterns, with raw P-value ≤0.05 pre-filtering followed by false discovery rate (FDR) correction, to recover potential DMPs usually missed by standard FDR correction in plant CHG/CHH and animal CpG contexts; and (ii) a multiple pairwise comparison approach, which performs m × n pairwise comparisons for m control and n experimental replicates, followed by a voting system supporting both user-defined majority thresholds and model-based adaptive thresholds, to identify robust and reliable DMPs (with a stricter voting threshold exclusively for loci with low methylation differences) and DMRs. On real datasets from Arabidopsis, apple, and mouse, as well as simulated human datasets, MultiDMPcaller's results showed good agreement with those of other software, exhibiting high conservativeness and superior precision, which suggested a low false discovery proportion. AVAILABILITY AND IMPLEMENTATION: MultiDMPcaller is available at GitHub (https://github.com/jiantaoyuNWAFU/MultiDMPcaller) and via a web server (https://ciebioinfo.nwafu.edu.cn).

Software↗

PubMed2003

The UCSC Genome Browser Database.

The University of California Santa Cruz (UCSC) Genome Browser Database is an up to date source for genome sequence data integrated with a large collection of related annotations. The database is optimized to support fast interactive performance with the web-based UCSC Genome Browser, a tool built on top of the database for rapid visualization and querying of the data at many levels. The annotations for a given genome are displayed in the browser as a series of tracks aligned with the genomic sequence. Sequence data and annotations may also be viewed in a text-based tabular format or downloaded as tab-delimited flat files. The Genome Browser Database, browsing tools and downloadable data files can all be found on the UCSC Genome Bioinformatics website (http://genome.ucsc.edu), which also contains links to documentation and related technical information.

Animals↗

PubMed2003

Retinal and optic disc atrophy associated with a CACNA1F mutation in a Japanese family.

OBJECTIVE: To describe retinal and optic disc atrophy and a progressive decrease of visual function in 2 Japanese brothers. Both had a mutation in the CACNA1F gene, the causative gene of incomplete congenital stationary night blindness (CSNB). METHODS: We studied observational case reports and performed comprehensive ophthalmologic examinations including best-corrected visual acuity, biomicroscopy, ophthalmoscopy, fundus photography, and electroretinography. Genomic DNA was extracted from the peripheral blood, and all 48 exons of the CACNA1F gene were directly sequenced. RESULTS: The 2 brothers had retinal and optic disc atrophy and a progressive reduction of visual acuity with increasing age. Although these clinical features are not typical of previous patients with incomplete CSNB, both patients had an in-frame mutation with deletion and insertion in exon 4 of the CACNA1F gene. In both patients, the bright-flash, mixed rod-cone electroretinogram had a negative configuration, a characteristic of incomplete CSNB. However, the full-field scotopic and photopic electroretinograms were nonrecordable, indicating severe, diffuse retinal malfunction, which is not typical in incomplete CSNB. CONCLUSION: These findings indicate that a mutation of the CACNA1F gene may be associated with retinal and optic disc atrophy with a progressive decline of visual function. Clinical Relevance In patients with retinal and optic disc atrophy associated with negative-type electroretinograms, a CACNA1F gene mutation should be considered.

Amino Acid Sequence↗

PubMed2006

Augur--a computational pipeline for whole genome microbial surface protein prediction and classification.

UNLABELLED: The analysis of protein function is a challenge and a major bottleneck towards well-annotated and analysed microbial genomes. In particular, bacterial surface proteins present an opportunity for pharmacological intervention and vaccine development. We present Augur, an automatic prediction pipeline that integrates major surface prediction algorithms and enables comparative analysis, classification and visualization for gram-positive bacteria on a genomic scale. AVAILABILITY: http://bioinfo.mikrobio.med.uni-giessen.de/augur

Algorithms↗

PubMed2026

PangyPlot: multi-scale interactive visualization of pangenome variation graphs.

SUMMARY: Pangenome variation graphs integrate multiple samples into a unified representation, mitigating the reference bias inherent to linear genomes. However, these graphs can be large and structurally complex. Existing visualization tools are each confined to a fixed scale of resolution, requiring researchers to switch between multiple tools to examine variation at different levels of detail. PangyPlot is an interactive pangenome browser designed for multi-scale exploration of reference variation graphs from full chromosome to nucleotide-level sequence segments. PangyPlot anchors navigation to linear reference coordinates, organizes variation into hierarchical bubble structures, and uses a force-directed layout engine for automatic node arrangement. AVAILABILITY AND IMPLEMENTATION: An instance preloaded with data is available at https://pangyplot.research.sickkids.ca. Source code and documentation are openly available at https://github.com/strug-hub/pangyplot under the MIT License.

Software↗

PubMed2004

Visualization of unconstrained negative supercoils of DNA on polytene chromosomes of Drosophila.

Bulk DNA within the eukaryotic genome is torsionarily relaxed. However, unconstrained negative supercoils of DNA have been detected in few local domains of the genome through preferential binding of psoralen. To make a genome-wide survey for such domains, we introduced biotinylated psoralen into Drosophila salivary glands and visualized it on polytene chromosomes with fluorescent streptavidin. We observed bright psoralen signals on many transcriptionally active interbands and puffs. Upon heat shock, the signals appeared on heat-shock puffs. The signals were resistant to RNase treatment but disappeared or became faint by previous nicking of DNA or inhibition of transcription with alpha-amanitin. These data show that transcription-coupled, unconstrained negative supercoils of DNA exist in approximately 150 loci within the interphase genome.

Amanitins↗

PubMed1978

Structural analysis of viral replicative intermediates isolated from adenovirus type 2-infected HeLa cell nuclei.

Deoxyribonucleoprotein complexes released 17 h postinfection from adenovirus type 1 (Ad2)-infected HeLa cell nuclei were shown by electron microscopy to contain filaments much thicker (about 200 A [20 nm]) than double-stranded DNA (about 20 A [2 nm]). The complexes were partially purified through a linear sucrose gradient, concentrated, and further purified in a metrizamide gradient. The major protein present in the complexes was identified as the 72,000-dalton (72K), adenovirus-coded single-stranded DNA-binding protein (72K DBP). Three types of complexes have been visualized by electron microscopy. Some linear complexes were uniformly thick, and their length corresponded roughly to that of the adenovirus genome. Other linear genome-length complexes appeared to consist of a thick filament connected to a thinner filament with the diameter of double-stranded DNA. Forked complexes consisting of one thick filament connected to a genome-length, thinner double-stranded DNA filament were also visualized. Both thick and thin filaments were sensitive to DNase and not to RNase, but only the thick filaments were digested by the single-strand-specific Neurospora crassa nuclease, indicating that they correspond to a complex of 72K DBP and Ad2 single-stranded DNA. Experiments with anti-72K DBP immunoglobulins indicated that these nucleoprotein complexes, containing the 72K DBP, correspond to replicative intermediates. Both strands of the Ad2 genome were found associated to the 72K DBP. Altogether, our results establish the in vivo association of the 72K DBP with adenovirus single-stranded DNA, as previously suggested from in vitro studies, and support a strand displacement mechanism for Ad2 DNA replication, in which both strands can be displaced. In addition, our results indicate that, late in infection, histones are not bound to adenovirus DNA in the form of a nucleosomal chromatine-like structure.

Adenoviruses, Human↗

PubMed2026

A G-Quadruplex-Activated Near-Infrared Chemiluminescent Probe for In Situ Hepatic Imaging of the Hepatitis C Virus Genome.

Real-time monitoring of viral replication is essential for infectious disease diagnosis and antiviral drug development. The G-quadruplex (G4), a conserved regulatory element within viral genomes, represents a significant endogenous biomarker for tracking viral activity. However, imaging viral G4s in deep tissues remains a challenge for current optical technologies due to severe photon attenuation and autofluorescence. Herein, we report Lumin680, the first near-infrared (NIR) chemiluminescent probe directly activated by conserved viral G4 conformations. Its chemiluminescence was triggered by parallel G4, emitting in the NIR optical window (680 nm) with a 104.6-fold signal enhancement. Notably, the luminescence of Lumin680 could penetrate up to 1.2 cm of biological tissue, outperforming traditional G4 fluorescent probe. In vivo, Lumin680 enabled the rapid visualization of orthotopic hepatitis C virus (HCV) genome RNA-presenting mini-organ within 5 min post-intravenous administration. Furthermore, the chemiluminescent intensity of Lumin680 quantitatively mapped the therapeutic efficacy of clinical direct-acting antivirals (DAAs) at both the cellular and whole-animal levels, exhibiting high concordance with the gold-standard quantitative RT-PCR (qPCR). This study not only provides a powerful G4 specific chemiluminescent tool but also establishes a novel paradigm for the non-invasive, in situ diagnosis and precise therapeutic monitoring of viral infections.

G-Quadruplexes↗

PubMed1992

Excision of a transposable element from a viral vector introduced into maize plants by agroinfection.

The geminivirus maize streak virus (MSV) was used as a vector to introduce the maize transposable element Dissociation (Ds) and to study its excision in maize plants. MSV carrying Ds1 in its genome was introduced into maize plants by agroinfection. Excision of the Ds1 element from the MSV genome was detected only when functions from the transposable element Activator (Ac) were supplied in trans, either endogenously by the recipient maize plant or by co-transformation with Agrobacterium carrying a genomic Ac clone. The excision of Ds1 could easily be visualized by the appearance of viral symptoms induced by the revertant virus. The junction sequences left on the MSV genome after excision revealed 'footprints' typical of transposition as described for maize. From these results, we conclude that transposition functions in our system and that the use of the MSV replicon provides a rapid and simple tool for the investigation of the excision of transposable elements in maize plants.

Agrobacterium tumefaciens↗

PubMed1985

Characterization of the DNA of the hamster papovavirus: II. A comparison of binding sites for Escherichia coli- and calf thymus RNA polymerase II on the hamster papovavirus genome.

Calf thymus (CT) RNA polymerase II bound to hamster papovavirus (HaPV) DNA was visualized by electron microscopy and compared to binding sites obtained after binding of Escherichia coli RNA polymerase to the HaPV genome. Thirteen binding sites were observed with CT polymerase II at map positions 0.04-0.07; 0.11; 0.18; 0.30; 0.37; 0.47; 0.57; 0.65; 0.78; 0.83; 0.90 and 0.94 using the unique BamHI cleavage site as zero point on the HaPV physical map. These binding sites correlate well with A + T rich sequences within the HaPV DNA as revealed by experiments using protein 32 coded for by phage T4. A comparison of binding of prokaryotic and eukaryotic RNA polymerase demonstrates a high degree of correspondence for most of the binding sites on the HaPV genome.

Animals↗

PubMed2025

tidk: a toolkit to rapidly identify telomeric repeats from genomic datasets.

SUMMARY: "tidk" (short for telomere identification toolkit) uses a simple, fast algorithm to scan long DNA reads for the presence of short tandemly repeated DNA in runs, and to aggregate them based on canonical DNA string representation. These are telomeric repeat candidates. Our algorithm is shown to be accurate in genomes for which the telomeric repeat unit is known and is tested across a wide variety of newly assembled genomes to uncover new telomeric repeat units. Tools are provided to identify telomeric repeats de novo, scan genomes for known telomeric repeats, and to visualize telomeric repeats on the assembly. "tidk" is implemented in Rust and is available as a command line tool which can be compiled using the Rust toolchain or downloaded as a binary from bioconda. AVAILABILITY AND IMPLEMENTATION: The "tidk" Rust crate is freely available under the MIT license (https://crates.io/crates/tidk), and the source code is available at https://github.com/tolkit/telomeric-identifier.

Telomere↗

PubMed1975

Structural and transcriptional features of the mouse spermatid genome.

A whole-mount electron microscope technique has allowed direct visualization of the transcription process in mouse spermatids. Thes observations have been supported by light and electron microscope autoradiographic techniques that employ [3H]uridine and [3H]arginine in attempts to clarify mechanisms of RNA synthesis and their relationship to nuclear histone changes throughout spermiogenesis. Early spermatid genomes are dispersed almost completely, whereas in later spermiogenic steps the posterior or flagellar nuclear region is readily dispersed and the anterior or subacrosomal nuclear region remains compact. Display of genome segments permits identification of regions where transcription complexes, presumably heterogeneous nuclear RNA species, are seen related to chromatin. These complexes appear as ribonucleoprotein chains, some of them of considerable length, decreasing progressively in number in late spermiogenic steps. This decrease coincides with diminishing rates of [3H]uridine incorporation. Two distinct patterns of chromatin have been identified: a beaded chromatin type associated with transcription complexes encounterd in early spermatids; and a smooth chromatin type not involved in transcriptive activity observed in advanced spermiogenic genomes. Protein particles staining densely with phosphotungstic acid become apparent in nuclei of spermatids after [3H]arginine incorporation becomes significant. There is no structural or autoradiographic evidence for the presence of nucleoli during spermiogenesis. From these data and from previous experimental findings, we conclude that: (a) spermatogonia, spermatocytes and Sertoli cells are transcriptionally expressed into heterogeneous nuclear RNA and preribosomal RNA species whereas transcription in spermatids is predominantly heterogeneous nuclear RNA; and (b) the modification of the chromatin patterns in late spermiogenic steps indicates a stabilized genome that restricts transcriptive functions.

Animals↗

PubMed2002

PathFinder: reconstruction and dynamic visualization of metabolic pathways.

MOTIVATION: Beyond methods for a gene-wise annotation and analysis of sequenced genomes new automated methods for functional analysis on a higher level are needed. The identification of realized metabolic pathways provides valuable information on gene expression and regulation. Detection of incomplete pathways helps to improve a constantly evolving genome annotation or discover alternative biochemical pathways. To utilize automated genome analysis on the level of metabolic pathways new methods for the dynamic representation and visualization of pathways are needed. RESULTS: PathFinder is a tool for the dynamic visualization of metabolic pathways based on annotation data. Pathways are represented as directed acyclic graphs, graph layout algorithms accomplish the dynamic drawing and visualization of the metabolic maps. A more detailed analysis of the input data on the level of biochemical pathways helps to identify genes and detect improper parts of annotations. As an Relational Database Management System (RDBMS) based internet application PathFinder reads a list of EC-numbers or a given annotation in EMBL- or Genbank-format and dynamically generates pathway graphs.

Bacillus subtilis↗

PubMed2025

Inference and visualization of complex genotype-phenotype maps with gpmap-tools.

Understanding how biological sequences give rise to observable traits, that is, how genotype maps to phenotype, is a central goal in biology. Yet our knowledge of genotype-phenotype maps in natural systems is limited due to the high dimensionality of sequence space and the context-dependent effects of mutations. The emergence of Multiplex assays of variant effect (MAVEs), along with large collections of natural sequences, offer new opportunities to empirically characterize these maps at an unprecedented scale. However, tools for statistical and exploratory analysis of these high-dimensional data are still needed. To address this gap, we developed gpmap-tools (https://github.com/cmarti/gpmap-tools), a python library that integrates a series of models for inference, phenotypic imputation, and error estimation from MAVE data or collections of natural sequences in the presence of genetic interactions of every possible order. gpmap-tools also provides methods for summarizing patterns of epistasis and visualization of genotype-phenotype maps containing up to millions of genotypes. To demonstrate its utility, we used gpmap-tools to infer genotype-phenotype maps containing 262,144 variants of the Shine-Dalgarno sequence from both genomic 5'UTR sequences and experimental MAVE data. Visualization of the inferred landscapes consistently revealed high-fitness ridges that link core motifs at different distances from the start codon. In summary, gpmap-tools provides a flexible, interpretable framework for studying complex genotype-phenotype maps, opening new avenues for understanding the architecture of genetic interactions and their evolutionary consequences.

Gaussian process↗