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PubMed2004

eShadow: a tool for comparing closely related sequences.

Primate sequence comparisons are difficult to interpret due to the high degree of sequence similarity shared between such closely related species. Recently, a novel method, phylogenetic shadowing, has been pioneered for predicting functional elements in the human genome through the analysis of multiple primate sequence alignments. We have expanded this theoretical approach to create a computational tool, eShadow, for the identification of elements under selective pressure in multiple sequence alignments of closely related genomes, such as in comparisons of human-to-primate or mouse-to-rat DNA. This tool integrates two different statistical methods and allows for the dynamic visualization of the resulting conservation profile. eShadow also includes a versatile optimization module capable of training the underlying Hidden Markov Model to differentially predict functional sequences. This module grants the tool high flexibility in the analysis of multiple sequence alignments and in comparing sequences with different divergence rates. Here, we describe the eShadow comparative tool and its potential uses for analyzing both multiple nucleotide and protein alignments to predict putative functional elements.

Animals↗
PubMed1983

Somatic cell genetics and gene families.

The utility of somatic cell genetic analysis for the chromosomal localization of genes in mammals is well established. With the development of recombinant DNA probes and efficient blotting techniques that allow visualization of single-copy cellular genes, somatic cell genetics has been extended from the level of phenotypes expressed by whole cells to the level of the cellular genome itself. This extension has proved invaluable for the analysis of genes not readily expressed in somatic cell hybrids and for the study of multigene families, especially pseudogenes dispersed in different chromosomes throughout the genome.

Animals↗
PubMed2005

Molecular cloning and expression profiling of optineurin in the rhesus monkey.

PURPOSE: It has been shown that mutations in the optineurin (OPTN) gene are involved in the etiology of adult-onset primary open-angle glaucoma (POAG). In view of close similarities between human and nonhuman primate ocular development and function, the rhesus monkey is considered a suitable model for human visual system research. Therefore, this study was conducted to clone the orthologue of the human OPTN gene in the rhesus monkey (Rh-OPTN) and to determine its genomic organization. A further purpose was to establish Rh-OPTN protein expression profiles and tissue distribution in the rhesus anterior segment, retina, and optic nerve. METHODS: The Rh-OPTN gene was cloned and its genomic structure determined. The mRNA expression pattern was examined by Northern blot analysis. The protein's cellular localization, ocular expression, and tissue distribution were established by immunolabeling. RESULTS: The Rh-OPTN gene has 13 exons and encodes for a 571-amino-acid protein. Both cDNA and amino acid sequences are 96% identical with the human OPTN. Northern blot analysis revealed prominent expression of two different transcripts in heart, brain, kidney, lung, spleen, skeletal muscle, and small intestine. Cellular and tissue distribution of Rh-OPTN protein were highly similar to its human and mouse homologous proteins. CONCLUSIONS: The optineurin gene and protein are evolutionary conserved between humans and the rhesus monkey. High similarity of ocular expression and tissue distribution between the two optineurin proteins suggests that this nonhuman primate is a suitable model for the pathophysiology and treatment of human glaucomatous optic neuropathy.

Amino Acid Sequence↗
PubMed2002

DicodonUse: the programme for dicodon bias visualization in prokaryotes.

The DicodonUse programme is aimed at a fast and simple assessment of genes present in prokaryotic nucleotide sequences. It identifies open reading frames that are not genes, and it distinguishes the genes that inherently belong to the genome in question from the genes that were inserted into the genome in the course of evolution. The programme is based on frequencies of dicodons used by the organism.

Bacteria↗
PubMed2026

Identification of Critical Genes Related to Breast Cancer with Brain Metastasis Through Bioinformatics Analysis.

INTRODUCTION: Distant metastasis accounts for the majority of Breast Cancer (BC)-related mortality. The brain is one of the most common regions of metastasis. However, the underlying molecular mechanisms remain uncertain. METHODS: In this study, gene expression profiles were downloaded from the Gene Expression Omnibus (GEO) database. Datasets GSE100534 and GSE52604, containing 16 primary brain tumor samples and 38 breast cancer brain metastasis samples, were used to identify the Differentially Expressed Genes (DEGs). The Metascape database was used to analyze enriched Gene Ontology (GO) entries and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway entries in DEGs. The STRING database was then used to construct a Protein-Protein Interaction (PPI) network, and the Cytoscape platform was employed to visualize the network. Furthermore, the Kaplan-Meier curve was used to analyze the Relapse-Free Survival (RFS) among the hub genes. Finally, the iRegulon plugin was used to construct a regulatory network to find the transcription factors (TFs) that regulate the expression of the hub genes. RESULTS: A total of 344 DEGs, including 182 up-regulated and 162 down-regulated genes, were identified by using the limma package in R. A module with 18 nodes and 9 hub genes was selected from the PPI network by using the plugins MCODE and Cyto- Hubba, respectively. KEGG pathway analysis demonstrated that brain metastasis in BC was closely related to the oocyte cell cycle. The Kaplan-Meier curve showed that high expression of these 9 hub genes was associated with poor RFS in BC patients. TFs' analysis showed that E2F4, SIN3A, FOXM1, and TFDP1 interacted with these hub genes. DISCUSSION: This study revealed that Breast Cancer Brain Metastasis (BCBM) may have a promoting effect on the cell cycle of oocytes and affect the maturation and division of oocytes through the KEGG and GO analyses of 344 DEGs. The selected 9 hub genes (ASPM, BUB1, BUB1B, CCNA2, CCNB1, CDK1, NDC80, NCAPG, and TOP2A) and 4 transcription factors (E2F4, SIN3A, FOXM1, TFDP1) may play a critical role in brain metastasis of BC. CONCLUSION: The results of this study may aid in the early diagnosis and suggest potential targets for the treatment of BCBM.

Brain Neoplasms↗
PubMed2003

Analyses of gene flow among populations of deer mice (Peromyscus maniculatus) at sites near hantavirus pulmonary syndrome case-patient residences.

Gene flow and potential for Sin Nombre virus (SNV) trafficking of the deer mouse (Peromyscus maniculatus) was studied in Delta and Mesa counties of western Colorado (USA). The study areas included Grand Mesa and surrounding grazing and agricultural areas. This area has several natural potential barriers to rodent gene flow, including rivers, cliffs, and mountains. Ten study sites were utilized in a spatially nested design ranging from 0.65-81 km apart; four of these sites were at or near human hantavirus pulmonary syndrome (HPS) case-patient residences. One HPS case occurred on the north side of Grand Mesa in 1993; the other three (two confirmed, one presumptive) occurred on the south side of Grand Mesa between 1999-2000. Blood and tissue samples were collected from each of 221 deer mice captured from 1999-2000. Blood samples were tested for IgG antibody to SNV. At least one deer mouse had antibody to SNV at nine of 10 sites. Genomic DNA was isolated from tissue samples and alleles at six microsatellite loci were amplified by polymerase chain reaction (PCR). Polymorphisms were resolved on denaturing polyacrylamide gels and visualized by silver staining. Traditional population genetic analyses of this study indicated moderate population subdivision among the populations surveyed, slight evidence of isolation by distance, and that the Gunnison River system may hinder gene flow in this area. Application of assignment tests indicated that approximately 73-85% of mice were assigned to their population of capture. Many of the misclassifications occurred among sites less than 1 km apart; however, some long-distance misclassifications were noted. Additionally, some misclassifications were noted among study sites on different sides of the Gunnison River system, indicating that the riparian corridor of this system may facilitate some gene flow. Overall, these data indicate that SNV trafficking is more likely at the local level, but some long-distance trafficking may be possible, especially where select habitat variables favor long-distance movements.

Animals↗
PubMed2000

Induced apoptosis and necrosis by 2-methylfuranonaphthoquinone in human cervical cancer HeLa cells.

2-Methylnaphtho[2,3-b]furan-4,9-dione (FNQ3) has been reported to be more cytotoxic to human malignant tumor cell lines than are the corresponding normal epithelial cells. Therefore, we examined the dose response of FNQ3 against human cervical cancer HeLa cells in culture. When 1.25 mg/ml FNQ3 was applied, apoptosis was induced, as determined by an immunohistochemical staining of fragmented genome DNA and cell profiles. Significant inhibition of Bcl-2 oncogene protein expression by the same concentration of FNQ3 also was demonstrated by an immunohistochemical staining method to visualize the expressed cells and Western blot in polyacrylamide gel electrophoresis. Flow-cytometric spectra showed S-phase arrest in cell cycles and the appearance of sub-G1 phase consistent with apoptosis. On the other hand, concentrations of 5 microg/ml or more of FNQ3 induced necrosis. These results show that FNQ3 may act as an antitumor agent to induce apoptosis by affecting Bcl-2 expression and cell cycles, or necrosis as the result of primary mitochondrial injuries.

Antineoplastic Agents, Phytogenic↗
PubMed1990

Molecular analysis by electron microscopy of the removal of psoralen-photoinduced DNA cross-links in normal and Fanconi's anemia fibroblasts.

The induction and fate of psoralen-photoinduced DNA interstrand cross-links in the genome of Fanconi's anemia (FA) fibroblasts of complementation groups A and B, and of normal human fibroblasts, were investigated by quantitative analysis of totally denatured DNA fragments visualized by electron microscopy. 8-Methoxypsoralen (5 x 10(-5) M) interstrand cross-links were induced as a function of the near ultraviolet light dose. With time of postexposure incubation, a fraction of interstrand cross-links disappeared in all cell lines. However, 24 h after treatment, this removal was significantly lower in the two FA group A cell lines examined (34-39%) than in the FA group B and normal cell lines (43-53 and 47-57%, respectively). These data indicate that FA cells are at least able to recognize and incise interstrand cross-links, as normal cells do, although group A cells seem somewhat hampered in this process. This is in accord with data obtained on the same cell lines using another biochemical assay (D. Papadopoulo, D. Averbeck, and E. Moustacchi. Mutat. Res., DNA Repair Rep., 184: 271-280, 1987). Since the fate of cross-links in FA constituted a controversial matter, it is important to stress that two different methodologies applied to genetically well defined cell lines led to the same conclusions.

Anemia, Aplastic↗
PubMed2000

Sequence, genomic structure and tissue expression of carp (Cyprinus carpio L.) vertebrate ancient (VA) opsin.

We report the isolation and characterisation of a novel opsin cDNA from the retina and pineal of the common carp (Cyprinus carpio L.). When a comparison of the amino acid sequences of salmon vertebrate ancient opsin (sVA) and the novel carp opsin are made, and the carboxyl terminus is omitted, the level of identity between these two opsins is 81% and represents the second example of the VA opsin family. We have therefore termed this C. carpio opsin as carp VA opsin (cVA opsin). We show that members of the VA opsin family may exist in two variants or isoforms based upon the length of the carboxyl terminus and propose that the mechanism of production of the short VA opsin isoform is alternative splicing of intron 4 of the VA opsin gene. The VA opsin gene consists of five exons, with intron 2 significantly shifted in a 3' direction relative to the corresponding intron in rod and cone opsins. The position (or lack) of intron 2 appears to be a diagnostic feature which separates the image forming rod and cone opsin families from the more recently discovered non-visual opsin families (pin-opsins (P), vertebrate ancient (VA), parapinopsin (PP)). Finally, we suggest that lamprey P opsin should be reassigned to the VA opsin family based upon its level of amino acid identity, genomic structure with respect to the position of intron 2 and nucleotide phylogeny.

Amino Acid Sequence↗
PubMed2001

Bioinformatics for rice resources.

The distinguishing feature of the 'new biology' is that it is information intensive. Not only does it demand access to and assimilation of vast data sets accumulated by engineered laboratory processes, but it also demands a previously unimaginable level of data integration across data types and sources. There are various information resources available for rice. In addition, there are various information resources that are not focused on rice but that contain rice data. The challenge for rice researchers and breeders is to access this wealth of data meaningfully. This challenge will grow significantly as international efforts aimed at sequencing the entire rice genome come into full swing. Only through concerted efforts in bioinformatics will the power of these public data be brought to bear on the needs of rice researchers and breeders worldwide. These efforts will need to focus on two large but distinct areas: (1) development of an effective bioinformatics infrastructure (hardware systems, software systems, and software engineers and support staff) and (2) computational biology research in visualization and analysis of very large, complex data sets, such as those that will be developed using high-throughput expression technologies, large-scale insertional mutagenesis, and biochemical profiling of various types. In the midst of the large flow of high-throughput data that the international rice genome sequencing efforts will produce, it is also imperative that integration of those data with unique germplasm data held in trust by the CGIAR be a part of the informatics infrastructure. This paper will focus on the state of rice information resources, the needs of the rice community, and some proposed bioinformatics activities to support these needs.

Algorithms↗
PubMed2006

Putting the colours into chromogenic in situ hybridization (CISH).

Recurrent genomic alterations are the hallmarks of particular cancers. Application of molecular cytogenetic technologies to tumour material in order to detect these alterations has become important for molecular diagnostics and research. A dual-colour chromogenic in situ hybridization (dc-CISH) method described recently in the Journal of Pathology has the advantage of visualizing two probes simultaneously with the ability to discern morphological features. In addition, the bright field microscopy required is readily accessible to many laboratories. The approach has been validated by comparison of results with standard analyses for HER-2 amplification status in formalin-fixed, paraffin-embedded breast cancers and is applicable to the analysis of other clinically relevant genomic aberrations as well as of use in research investigations.

Color↗
PubMed2001

REPuter: the manifold applications of repeat analysis on a genomic scale.

The repetitive structure of genomic DNA holds many secrets to be discovered. A systematic study of repetitive DNA on a genomic or inter-genomic scale requires extensive algorithmic support. The REPuter program described herein was designed to serve as a fundamental tool in such studies. Efficient and complete detection of various types of repeats is provided together with an evaluation of significance and interactive visualization. This article circumscribes the wide scope of repeat analysis using applications in five different areas of sequence analysis: checking fragment assemblies, searching for low copy repeats, finding unique sequences, comparing gene structures and mapping of cDNA/EST sequences.

Algorithms↗
PubMed1994

Organization, sequence, and expression of a gene encoding goldfish neurofilament medium protein.

The goldfish visual pathway displays a remarkable capacity for continuous neurogenesis, plasticity, and regeneration. The intermediate filament protein composition of this system differs from that of higher vertebrates, which lack the capacity for continued nerve growth and development. In an effort to determine how intermediate filament proteins are regulated during nerve growth, we isolated and characterized cDNA and genomic clones representing the goldfish neurofilament medium (NF-M) protein. The tissue-specific expression of goldfish NF-M mRNA was analyzed by RNase protection assays and by in situ hybridization. The expression of goldfish NF-M is qualitatively the same as in other species. Although the intermediate filament protein composition of the goldfish visual pathway is unusual when compared with higher vertebrates, the goldfish NF-M protein is similar to higher vertebrate NF-M proteins. In addition, the organization of the goldfish NF-M gene is identical to the NF-M genes in all other vertebrate species. In contrast, the promoter region of the goldfish NF-M gene has several potential regulatory sequences that are not found in the promoter regions of higher vertebrate NF-M genes.

Amino Acid Sequence↗
PubMed2025

Foliar disease resistance phenomics of fungal pathogens: image-based approaches for mapping quantitative resistance in cereal germplasm.

Host plant resistance is the most effective and environmentally sustainable means of reducing yield losses caused by fungal foliar pathogens of cereal species. Cereal genebank collections hold diverse pools of potentially underutilized disease resistance alleles, and cereal genomic resources are well advanced due to large-scale sequencing and genotyping efforts. Genome-Wide Association Studies (GWAS) have emerged as the predominant association genetics technique to initially discover novel disease resistance loci or alleles in these diverse collections. Traditional disease resistance phenotyping methods are reliant on visual estimation of disease symptom severity and have successfully supported genetic mapping studies either via GWAS or QTL mapping in biparental populations facilitating both marker development and gene cloning efforts. Due to foliar pathogens having a high capacity to evolve, there is a need to pyramid disease resistance genes with diverse mechanisms for durable control. Resistance expressed as a quantitative trait, known as quantitative resistance (QR), is hypothesized to be more durable, unlike major R-gene resistance that is race-specific and can be vulnerable to breaking down without gene stewardship. However, assessing QR visually is challenging, particularly when complicated by complex genotype × environment (G × E) effects in the field. High-throughput image-based phenotyping provides accurate and unbiased data that can support foliar disease resistance screening efforts of genebank collections using GWAS. In this review, we discuss image-based disease phenotyping based on macroscopic (visible symptoms) and microscopic features during the host-pathogen interaction. Quantitative image analysis approaches using conventional and artificial intelligence (AI) algorithms are also discussed.

Disease Resistance↗
PubMed2026

An Integrated Machine Learning and Genomic Framework for Precise Detection of Gastric Cancer.

This study presents a novel integrative approach for the analysis of high-dimensional gene expression data, leveraging the complementary strengths of unsupervised clustering and supervised classification. Using K-means clustering, the data set is stratified into three distinct clusters, revealing intrinsic biological patterns and relationships. The resulting cluster assignments are subsequently used as pseudolabels to train machine learning models, including support vector machines, random forest, and a stacking ensemble classifier. To validate and enhance the robustness of clustering, complementary methods, such as hierarchical clustering and density-based spatial clustering of applications with noise (DBSCAN), are used, with results visualized through principal component analysis-driven dimensionality reduction. The high predictive accuracy achieved by the classifiers underlines the separability and reliability of the identified clusters. Furthermore, feature importance analysis highlighted key genetic determinants within each cluster, offering actionable insights into potential biomarkers and critical genomic features. This framework bridges the gap between exploratory unsupervised learning and predictive supervised modeling, providing a scalable and interpretable method for analyzing complex genomic data sets. Its applicability extends to biomarker discovery, patient stratification, and other precision medicine applications, emphasizing its utility in advancing genomic research and clinical practice.

Humans↗
PubMed1996

Good maps are straight.

This paper proposes a simplified approach to the assembly of large physical genome maps. The approach focuses on two key problems: (i) the integration of diverse forms of data from numerous sources, and (ii) the detection and removal of errors and anomalies in the data. The approach simplifies map assembly by dividing it into three phases-overlap, linkage and ordering. In the first phase, all forms of overlap data are integrated into a simple abstract structure, called clusters, where each cluster is a set of mutually-overlapping DNA segments. This phase filters out many questionable overlaps in the mapping data. In the second phase, clusters are linked together into a weighted intersection graph. False links between widely separated regions of the genome show up as crooked, branching structures in the graph. Removing these false links produces graphs that are straight, reflecting the linear structure of chromosomes. From these straight graphs, the third phase constructs a physical map. Graph algorithms and graph visualization play key roles in implementing the approach. At present, the approach is at an early stage of development: it has been tested on real and simulated mapping data, and the results look promising. This paper describes the first two phases of the approach in detail, and reports on our progress to date.

Chromosomes, Human, Pair 7↗
PubMed1990

[Diagnosis of the sex of bovine embryos using molecular biology].

Thanks to a bovine genomic library enriched with Y chromosome-specific sequences, a probe specific to this chromosome of genera Bos and Bison and repeated on about 2,000 copies in the male genome was isolated. To be compatible with embryo transfer and/or freezing, sex determination has to be done on a 10-20 cell embryo biopsy from a day-7 bovine blastocyst. The in situ hybridization with biotinylated BC 1.2 probe and immunocytochemical revelation permitted the visualization of the hybridization signal on the nucleus of each cell. Because of the numerous steps required, this technique was difficult to apply routinely. For that reason we worked out the polymerase chain reaction technique. From the BC 1.2 sequence, we determined several oligonucleotide primers and probes with the aim of amplifying the Y chromosome-specific sequences. This technique, which is easy to perform and to automate, enabled us to obtain a strong male-specific hybridization signal on genomic DNA and embryo cells.

Animal Husbandry↗
PubMed1995

Evaluation of tyrosinase minigene co-injection as a marker for genetic manipulations in transgenic mice.

The utility of tyrosinase minigene co-injection was evaluated as a visual marker for the generation and breeding of transgenic mice. In an evaluation of 39 transgenic founder animals and 44 transgenic lines five phenotypic patterns of pigmentation were consistently observed, including albino, dark, light, mottled and himalayan. In these studies co-injection of the tyrosinase minigene along with the transgene of interest (TOI) resulted in genomic integration of the two transgenes in 95% of the F0 generation. Co-segregation of transgenes occurred in 94% of doubly transgenic mice in the F1 generation, without dissociation in subsequent generations. All pigmented phenotypes proved useful for distinguishing homozygous from heterozygous F2 animals via backcross trials, while the light, mottled and himalayan phenotypes proved useful in visually discriminating between homozygous and heterozygous F2 animals. In addition, the light, mottled and himalayan phenotypes proved useful in determining segregation patterns of transgenes in the progeny of crosses between separate transgenic lines. Moreover, there appears to be a correlation between intensity of pigmentation and degree of expression of the co-injected TOI. These studies confirm that tyrosinase co-injection is a useful adjunct in transgenic mouse studies and can serve to reduce routine genetic validation of transgenic lines.

Animals↗