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Chromosome

About: Chromosome is a research topic. Over the lifetime, 17538 publications have been published within this topic receiving 660077 citations. The topic is also known as: chromosomes & GO:0005694.


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TL;DR: The relatively high incidence of these allelic losses observed on chromosome 6q represents the first implication by molecular genetic analysis of this chromosomal region in a human malignancy, and it thus appears to be a genetic change specific to ovarian carcinoma.
Abstract: Recently, tumor-specific allele loss has been shown to be an important characteristic of some tumors. When such loss includes one or more growth-regulatory genes, it may allow the expression of tumorigenicity. Using Southern blots, we analyzed normal and tumor DNA samples from 19 ovarian cancer patients, using a series of polymorphic DNA probes that map to a variety of chromosomal loci. Of 14 informative cases, tumor-specific allelic loss was observed in nine (64%) at the estrogen receptor (ESR) gene locus on chromosome 6q. On chromosome 17p at the D17S28 and D17S30 loci, allelic losses were also detected in 6 of 8 (75%) and 9 of 14 (64%) cases, respectively. Allelic loss at the HRAS1 gene locus on chromosome 11p occurred in 5 of 11 (46%) informative cases. The relatively high incidence of these allelic losses observed on chromosome 6q represents the first implication by molecular genetic analysis of this chromosomal region in a human malignancy, and it thus appears to be a genetic change specific to ovarian carcinoma. DNA sequence losses on 11p and 17p, also reported for other cancers, may reflect the presence of tumor- or growth-suppressor genes on these chromosomes that are important in the genesis of many tumor types, including ovarian malignancies.

186 citations

Journal ArticleDOI
TL;DR: Comparison of genomic hybridization analysis in 31 pancreatic cancer cell lines showed that chromosome arms 8q, 11q, 17q, and 20q are frequently gained in this tumor type.
Abstract: Genetic changes involved in the development and progression of pancreatic cancer are still partly unknown, despite the progress in recent years. In this study, comparative genomic hybridization analysis in 31 pancreatic cancer cell lines showed that chromosome arms 8q, 11q, 17q, and 20q are frequently gained in this tumor type. Copy number analysis of selected genes from these chromosome arms by fluorescence in situ hybridization showed amplification of the MYC oncogene in 54% of the cell lines, whereas CCND1 was amplified in 28%. In the 17q arm, the ERBB2 oncogene was amplified in 20% of the cell lines, TBX2 in 50%, and BIRC5 in 58%, indicating increased involvement toward the q telomere of chromosome 17. In the 20q arm, the amplification frequencies varied from 32% to 83%, with the CTSZ gene at 20q13 being most frequently affected. These results illustrate that amplification of genes from the 8q, 11q, 17q, and 20q chromosome arms is common in pancreatic cancer.

186 citations

Journal ArticleDOI
TL;DR: The results imply that DNA methylation may influence the evolution of plant genomes through the control of meiotic recombination through changing expression of genes encoding recombination components.
Abstract: During sexual reproduction, one-half of the genetic material is deposited in gametes, and a complete set of chromosomes is restored upon fertilization. Reduction of the genetic information before gametogenesis occurs in meiosis, when cross-overs (COs) between homologous chromosomes secure an exchange of their genetic information. COs are not evenly distributed along chromosomes and are suppressed in chromosomal regions encompassing compact, hypermethylated centromeric and pericentromeric DNA. Therefore, it was postulated that DNA hypermethylation is inhibitory to COs. Here, when analyzing meiotic recombination in mutant plants with hypomethylated DNA, we observed unexpected and counterintuitive effects of DNA methylation losses on CO distribution. Recombination was further promoted in the hypomethylated chromosome arms while it was inhibited in heterochromatic regions encompassing pericentromeric DNA. Importantly, the total number of COs was not affected, implying that loss of DNA methylation led to a global redistribution of COs along chromosomes. To determine by which mechanisms altered levels of DNA methylation influence recombination—whether directly in cis or indirectly in trans by changing expression of genes encoding recombination components—we analyzed CO distribution in wild-type lines with randomly scattered and well-mapped hypomethylated chromosomal segments. The results of these experiments, supported by expression profiling data, suggest that DNA methylation affects meiotic recombination in cis. Because DNA methylation exhibits significant variation even within a single species, our results imply that it may influence the evolution of plant genomes through the control of meiotic recombination.

186 citations

Journal ArticleDOI
TL;DR: It is demonstrated that it is possible to predict how a genome will fold based on the epigenetic marks that decorate chromatin, and that de novo structure prediction for whole genomes may be increasingly possible.
Abstract: Inside the cell nucleus, genomes fold into organized structures that are characteristic of cell type. Here, we show that this chromatin architecture can be predicted de novo using epigenetic data derived from chromatin immunoprecipitation-sequencing (ChIP-Seq). We exploit the idea that chromosomes encode a 1D sequence of chromatin structural types. Interactions between these chromatin types determine the 3D structural ensemble of chromosomes through a process similar to phase separation. First, a neural network is used to infer the relation between the epigenetic marks present at a locus, as assayed by ChIP-Seq, and the genomic compartment in which those loci reside, as measured by DNA-DNA proximity ligation (Hi-C). Next, types inferred from this neural network are used as an input to an energy landscape model for chromatin organization [Minimal Chromatin Model (MiChroM)] to generate an ensemble of 3D chromosome conformations at a resolution of 50 kilobases (kb). After training the model, dubbed Maximum Entropy Genomic Annotation from Biomarkers Associated to Structural Ensembles (MEGABASE), on odd-numbered chromosomes, we predict the sequences of chromatin types and the subsequent 3D conformational ensembles for the even chromosomes. We validate these structural ensembles by using ChIP-Seq tracks alone to predict Hi-C maps, as well as distances measured using 3D fluorescence in situ hybridization (FISH) experiments. Both sets of experiments support the hypothesis of phase separation being the driving process behind compartmentalization. These findings strongly suggest that epigenetic marking patterns encode sufficient information to determine the global architecture of chromosomes and that de novo structure prediction for whole genomes may be increasingly possible.

185 citations

Journal ArticleDOI
TL;DR: T-DNA flanking sequences were isolated from 112 Arabidopsis thaliana single-copy T-DNA lines and sequence mapped to the chromosomes and revealed that integration into 5′-upstream regions occurred more frequently than expected, whereas insertions in coding sequences (exons and introns) were found less frequently thanexpected based on random distribution predictions.
Abstract: T-DNA flanking sequences were isolated from 112 Arabidopsis thaliana single-copy T-DNA lines and sequence mapped to the chromosomes. Even though two T-DNA insertions mapped to a heterochromatic domain located in the pericentromeric region of chromosome I, expression of reporter genes was detected in these transgenic lines. T-DNA insertion did not seem to be biased toward any of Arabidopsis' five chromosomes. The observed distribution of T-DNA copies in intergenic sequence versus gene sequence (i.e. 5'-upstream regions, coding sequences and 3'-downstream regions) appeared randomly. An evaluation of T-DNA insertion frequencies within gene sequence revealed that integration into 5'-upstream regions occurred more frequently than expected, whereas insertions in coding sequences (exons and introns) were found less frequently than expected based on random distribution predictions. In the majority of cases, single-copy T-DNA insertions were associated with small or large rearrangements such as deletions and/or duplications of target site sequences, deletions and/or duplications of T-DNA sequences, and gross chromosomal rearrangements such as translocations. The accuracy of integration was similarly high for both left- and right-border sequences. These results may be called upon when making detailed molecular analyses of transgenic plants or T-DNA induced mutants.

185 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
2023862
20221,198
2021368
2020359
2019365