Search results for "GENOMIC REARRANGEMENTS"

showing 4 items of 4 documents

Phylogenomics of species from four genera of New World monkeys by flow sorting and reciprocal chromosome painting

2007

Abstract Background The taxonomic and phylogenetic relationships of New World monkeys (Platyrrhini) are difficult to distinguish on the basis of morphology and because diagnostic fossils are rare. Recently, molecular data have led to a radical revision of the traditional taxonomy and phylogeny of these primates. Here we examine new hypotheses of platyrrhine evolutionary relationships by reciprocal chromosome painting after chromosome flow sorting of species belonging to four genera of platyrrhines included in the Cebidae family: Callithrix argentata (silvered-marmoset), Cebuella pygmaea (pygmy marmoset), Callimico goeldii (Goeldi's marmoset) and Saimiri sciureus (squirrel monkey). This is t…

PLATYRRHINE MONKEYSPRIMATE PHYLOGENYMOLECULAR PHYLOGENYMITOCHONDRIAL-DNAPygmy marmosetZOO-FISHZoologyPlatyrrhiniDIVERGENCE TIMESChromosome PaintingEvolution MolecularANCESTRAL KARYOTYPEbiology.animalCebidaeAnimalsChromosomes HumanHumansPhylogenyEcology Evolution Behavior and SystematicsChromosome 13biologyCallimico goeldiiResearchSquirrel monkeySaimiri sciureusMarmosetIN-SITU HYBRIDIZATIONFlow Cytometrybiology.organism_classificationEVOLUTIONPlatyrrhiniEvolutionary biologyKaryotypingGENOMIC REARRANGEMENTSphylogenomics Primates molecular cytogeneticsBMC Evolutionary Biology
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Human papillomavirus:Its identikit and controversial role in oral oncogenesis,premalignant an malignant lesions(Review)

2007

Human papillomaviruses (HPVs) are a group of host-specific DNA viruses, with a remarkable epithelial cell specificity: they have been reported principally in the ano-genital tract, urethra, skin, larynx, tracheo-bronchial and oral mucosa. More than 100 different HPV types have been identified and classified as high (e.g. 16, 18, 31) or low (e.g. 11, 42, 36) -risk (HR and LR), based on their association with cervical carcinoma. The carcinogenic role of HR-HPV revolves mainly around two of its oncoproteins: HPV-E6 which promotes degradation of the p53 tumour suppressor gene product and HPV-E7 which modifies the pRb tumour suppressor gene product, inhibiting the activity of TGF-beta2. Since th…

LARGE GENOMIC REARRANGEMENTSHIGH-RISKSUSCEPTIBILITY GENESMUTATIONSBREAST-CANCERTP53BREAST/OVARIAN CANCER FAMILIESOVARIAN-CANCER
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BRCA1/BRCA2 rearrangements and CHEK2 common mutations are infrequent in Italian male breast cancer cases

2008

Male breast cancer (MBC) is a rare and poorly known disease. Germ-line mutations of BRCA2 and, to lesser extent, BRCA1 genes are the highest risk factors associated with MBC. Interestingly, BRCA2 germ-line rearrangements have been described in high-risk breast/ovarian cancer families which included at least one MBC case. Germ-line mutations of CHEK2 gene have been also implicated in inherited MBC predisposition. The CHEK2 1100delC mutation has been shown to increase the risk of breast cancer in men lacking BRCA1/BRCA2 mutations. Intriguingly, two other CHEK2 mutations (IVS2+1G>A and I157T) and a CHEK2 large genomic deletion (del9-10) have been associated with an elevated risk for prostate c…

AdultMaleCancer Researchendocrine system diseasesGenes BRCA2Genes BRCA1male breast cancerProtein Serine-Threonine KinasesBiologychek2medicine.disease_causeBreast Neoplasms Malebrca1Breast cancerbrca2medicineHumansBRCA1/BRCA2germ-line mutationsMultiplex ligation-dependent probe amplificationmlpaskin and connective tissue diseasesneoplasmsCHEK2Germ-Line MutationGene RearrangementMutationCancerGene rearrangementmedicine.diseaseCheckpoint Kinase 2Oncologylarge genomic rearrangementsMale breast cancerCancer researchbrca1; brca2; chek2; germ-line mutations; large genomic rearrangements; male breast cancer; mlpaBreast diseaseBreast Cancer Research and Treatment
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CLOVE: classification of genomic fusions into structural variation events

2017

Background A precise understanding of structural variants (SVs) in DNA is important in the study of cancer and population diversity. Many methods have been designed to identify SVs from DNA sequencing data. However, the problem remains challenging because existing approaches suffer from low sensitivity, precision, and positional accuracy. Furthermore, many existing tools only identify breakpoints, and so not collect related breakpoints and classify them as a particular type of SV. Due to the rapidly increasing usage of high throughput sequencing technologies in this area, there is an urgent need for algorithms that can accurately classify complex genomic rearrangements (involving more than …

0301 basic medicineGenomicsBiologycomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsBiochemistryChromosomesDNA sequencingSet (abstract data type)Structural variationUser-Computer Interface03 medical and health sciencesStructural BiologyEscherichia coliHumansCopy-number variationMolecular Biologylcsh:QH301-705.5InternetMethodology ArticleApplied MathematicsBreakpointGenomic rearrangementsDNAGenomicsStructural variationsComputer Science ApplicationsIdentification (information)030104 developmental biologylcsh:Biology (General)Nucleic Acid ConformationGraph (abstract data type)lcsh:R858-859.7Data miningcomputerAlgorithmsBMC Bioinformatics
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