New insights into gene positional clustering and its properties supported by large-scale analysis of various differentiation pathways
Autor: | Michal Kozubek, Petr Krontorád, Eva Bártová, Zbyněk Svoboda, Irena Koutná, Stanislav Kozubek |
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Jazyk: | angličtina |
Předmět: |
Transcription factories
Transcription Genetic Microarrays Cellular differentiation Genomics HL-60 Cells Computational biology Biology Monocytes Thrombopoiesis 03 medical and health sciences 0302 clinical medicine Chromosome regions Genetics Humans Epigenetics Gene Gene clustering 030304 developmental biology DNA Primers Oligonucleotide Array Sequence Analysis Myelopoiesis 0303 health sciences K-562 Base Sequence Gene Expression Profiling Cell Differentiation Gene expression profiling HL-60 030220 oncology & carcinogenesis Multigene Family Differentiation DNA microarray K562 Cells Megakaryocytes Granulocytes |
Zdroj: | Genomics. (1):81-88 |
ISSN: | 0888-7543 |
DOI: | 10.1016/j.ygeno.2006.07.013 |
Popis: | To understand how genes are distributed on chromosomes we bring new insights into gene positional clustering and its properties. We have made a large-scale analysis of three types of differentiation and we observed that genes that subsequently enter into different cell processes are positionally clustered on chromosomes. Genes from the clusters are transcribed subsequently with respect to time kinetics and also to position. This means that the genes related to a cellular process are clustered together, independent of the period of time during which they are active and important for the process. Our results also demonstrate not only that there are general regions of increased or decreased levels of gene expression, but also that, in fact, in some chromosome regions we can find clustering of genes related to specific cell processes. The results provided in this paper also support the theory of “transcription factories” and show that transcription of genes from the clusters is managed by softer epigenetic mechanisms. |
Databáze: | OpenAIRE |
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