Editing Cell cycle (section)

===DNA replication and DNA replication origin activity===
Analyses of synchronized cultures of ''Saccharomyces cerevisiae'' under conditions that prevent DNA replication initiation without delaying cell cycle progression showed that origin licensing decreases the expression of genes with origins near their 3' ends, revealing that downstream origins can regulate the expression of upstream genes.<ref>{{cite journal | vauthors = Omberg L, Meyerson JR, Kobayashi K, Drury LS, Diffley JF, Alter O | title = Global effects of DNA replication and DNA replication origin activity on eukaryotic gene expression | journal = Molecular Systems Biology | volume = 5 | pages = 312 | date = October 2009 | pmid = 19888207 | pmc = 2779084 | doi = 10.1038/msb.2009.70 }}</ref> This confirms previous predictions from mathematical modeling of a global causal coordination between DNA replication origin activity and mRNA expression,<ref>{{cite conference | vauthors = Alter O, Golub GH, Brown PO, Botstein D | title = Novel Genome-Scale Correlation between DNA Replication and RNA Transcription During the Cell Cycle in Yeast is Predicted by Data-Driven Models | veditors = Deutscher MP, Black S, Boehmer PE, D'Urso G, Fletcher TM, Huijing F, Marshall A, Pulverer B, Renault B, Rosenblatt JD, Slingerland JM, Whelan WJ | display-editors = 6 | conference = Miami Nature Biotechnology Winter Symposium | series = Cell Cycle, Chromosomes and Cancer | location = Miami Beach, FL | publisher = University of Miami School of Medicine | volume = 15 | date = February 2004 | url = http://www.med.miami.edu/mnbws/documents/Alter-.pdf | access-date = 7 February 2014 | archive-date = 9 September 2014 | archive-url = https://web.archive.org/web/20140909235805/http://www.med.miami.edu/mnbws/documents/Alter-.pdf | url-status = dead }}</ref><ref>{{cite journal | vauthors = Alter O, Golub GH | title = Integrative analysis of genome-scale data by using pseudoinverse projection predicts novel correlation between DNA replication and RNA transcription | journal = Proceedings of the National Academy of Sciences of the United States of America | volume = 101 | issue = 47 | pages = 16577–16582 | date = November 2004 | pmid = 15545604 | pmc = 534520 | doi = 10.1073/pnas.0406767101 | doi-access = free | bibcode = 2004PNAS..10116577A }}</ref><ref>{{cite journal | vauthors = Omberg L, Golub GH, Alter O | title = A tensor higher-order singular value decomposition for integrative analysis of DNA microarray data from different studies | journal = Proceedings of the National Academy of Sciences of the United States of America | volume = 104 | issue = 47 | pages = 18371–18376 | date = November 2007 | pmid = 18003902 | pmc = 2147680 | doi = 10.1073/pnas.0709146104 | doi-access = free | bibcode = 2007PNAS..10418371O }}</ref> and shows that mathematical modeling of DNA microarray data can be used to correctly predict previously unknown biological modes of regulation.