PubMed Health⌕ Search

PubMed · 15905407

Developmentally induced changes in transcriptional program alter spatial organization across chromosomes.

Abstract

Although the spatial location of genes within the nucleus has been implicated in their transcriptional status, little is known about the dynamics of gene location that accompany large-scale changes in gene expression. The mating of haploid yeast Saccharomyces cerevisiae is accompanied by a large-scale change in transcription and developmental program. We examined changes in nuclear organization that accompany stimulus by the mating pheromone alpha factor and found that most alpha-factor-induced genes become associated with components of the nuclear envelope. The myosin-like protein Mlp1, which has been implicated in mRNA export, was further shown to exhibit RNA dependence in its association with alpha-factor-induced genes. High-resolution mapping of association of chromosome III with Mlp1 revealed alpha-factor-dependent determinants of nuclear pore association, including origins of replication, specific intergenic regions, and the 3' ends of transcriptionally activated genes. Taken together, these results reveal RNA- and DNA-dependent determinants of nuclear organization as well as a detailed picture of how an entire chromosome alters its spatial conformation in response to a developmental cue.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Jason M Casolari, Christopher R Brown, David A Drubin, Oliver J Rando, Pamela A Silver. 2005-05-15. Developmentally induced changes in transcriptional program alter spatial organization across chromosomes.. https://doi.org/10.1101/gad.1307205

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Hi-C calibration by chemically induced chromosomal interactions.

The genome-wide chromosome conformation capture method, Hi-C, has greatly advanced our understanding of genome organization. However, its quantitative properties, including sensitivity, bias, and linearity, remain challenging to assess. Measuring these properties in vivo is difficult due to the heterogenous and dynamic nature of chromosomal interactions. Here, using Chemically Induced Chromosomal Interaction (CICI) method, we create stable intra- and inter-chromosomal interactions in G1-phase budding yeast across a broad range of contact frequencies. Hi-C analysis of these engineered cell populations demonstrates that static intra-chromosomal loops do not generate Topologically Associated Domains (TADs) and only promote 3D proximity within 10-60 kb flanking regions. At moderate sequencing depth, Hi-C is sensitive enough to detect interactions occurring in 5-10% of cells. It also shows no inherent bias toward intra- versus inter-chromosomal interactions. Furthermore, we observe a linear relationship between Hi-C signal intensity and contact frequency. These findings illuminate the intrinsic properties of the Hi-C assay and provide a robust framework for its calibration.

Chromosomes, Fungal↗

Single Holliday junctions are intermediates of meiotic recombination.

Crossing-over between homologous chromosomes facilitates their accurate segregation at the first division of meiosis. Current models for crossing-over invoke an intermediate in which homologs are connected by two crossed-strand structures called Holliday junctions. Such double Holliday junctions are a prominent intermediate in Saccharomyces cerevisiae meiosis, where they form preferentially between homologs rather than between sister chromatids. In sharp contrast, we find that single Holliday junctions are the predominant intermediate in Schizosaccharomyces pombe meiosis. Furthermore, these single Holliday junctions arise preferentially between sister chromatids rather than between homologs. We show that Mus81 is required for Holliday junction resolution, providing further in vivo evidence that the structure-specific endonuclease Mus81-Eme1 is a Holliday junction resolvase. To reconcile these observations, we present a unifying recombination model applicable for both meiosis and mitosis in which single Holliday junctions arise from single- or double-strand breaks, lesions postulated by previous models to initiate recombination.

Chromosomes, Fungal↗

PROPHECY--a yeast phenome database, update 2006.

Connecting genotype to phenotype is fundamental in biomedical research and in our understanding of disease. Phenomics--the large-scale quantitative phenotypic analysis of genotypes on a genome-wide scale--connects automated data generation with the development of novel tools for phenotype data integration, mining and visualization. Our yeast phenomics database PROPHECY is available at http://prophecy.lundberg.gu.se. Via phenotyping of 984 heterozygous diploids for all essential genes the genotypes analysed and presented in PROPHECY have been extended and now include all genes in the yeast genome. Further, phenotypic data from gene overexpression of 574 membrane spanning proteins has recently been included. To facilitate the interpretation of quantitative phenotypic data we have developed a new phenotype display option, the Comparative Growth Curve Display, where growth curve differences for a large number of mutants compared with the wild type are easily revealed. In addition, PROPHECY now offers a more informative and intuitive first-sight display of its phenotypic data via its new summary page. We have also extended the arsenal of data analysis tools to include dynamic visualization of phenotypes along individual chromosomes. PROPHECY is an initiative to enhance the growing field of phenome bioinformatics.

Chromosomes, Fungal↗