MCM1/YMR043W Literature Guide Help

Other names published for MCM1: FUN80, YMR043W

MCM1 - Additional Literature (196)

Results: 1 - 30 of 196 records
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ReferenceOther Genes Addressed
Jimenez-Lopez C, et al.  (2013) Candida albicans induces arginine biosynthetic genes in response to host-derived reactive oxygen species. Eukaryot Cell 12(1):91-100
Mirzaei H, et al.  (2013) Systematic measurement of transcription factor-DNA interactions by targeted mass spectrometry identifies candidate gene regulatory proteins. Proc Natl Acad Sci U S A 110(9):3645-50
Poirel CL, et al.  (2013) Top-down network analysis to drive bottom-up modeling of physiological processes. J Comput Biol 20(5):409-18
Renicke C, et al.  (2013) A LOV2 domain-based optogenetic tool to control protein degradation and cellular function. Chem Biol 20(4):619-26
Crisucci EM and Arndt KM  (2012) Paf1 restricts Gcn4 occupancy and antisense transcription at the ARG1 promoter. Mol Cell Biol 32(6):1150-63
Freire P, et al.  (2012) Interplay of transcriptional and proteolytic regulation in driving robust cell cycle progression. Mol Biosyst 8(3):863-70
Lin L, et al.  (2012) Analysis of Gal4-directed transcription activation using Tra1 mutants selectively defective for interaction with Gal4. Proc Natl Acad Sci U S A 109(6):1997-2002
Mehanna A and Diffley JF  (2012) Pre-replicative complex assembly with purified proteins. Methods 57(2):222-6
Sharon E, et al.  (2012) Inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters.LID - 10.1038/nbt.2205 [doi] Nat Biotechnol ()
Thompson EG and Galitski T  (2012) Quantifying and analyzing the network basis of genetic complexity. PLoS Comput Biol 8(7):e1002583
Vizoso-Vazquez A, et al.  (2012) Ixr1p and the control of the Saccharomyces cerevisiae hypoxic response. Appl Microbiol Biotechnol 94(1):173-84
Vohradsky J  (2012) Stochastic simulation for the inference of transcriptional control network of yeast cyclins genes. Nucleic Acids Res 40(15):7096-103
Wang L, et al.  (2012) Integrating phosphorylation network with transcriptional network reveals novel functional relationships. PLoS One 7(3):e33160
Zelin E, et al.  (2012) The p23 molecular chaperone and GCN5 acetylase jointly modulate protein-DNA dynamics and open chromatin status. Mol Cell 48(3):459-70
Askew C, et al.  (2011) The zinc cluster transcription factor Ahr1p directs Mcm1p regulation of Candida albicans adhesion. Mol Microbiol 79(4):940-53
Carreto L, et al.  (2011) Expression variability of co-regulated genes differentiates Saccharomyces cerevisiae strains. BMC Genomics 12(1):201
Ding S and Wang W  (2011) Recipes and mechanisms of cellular reprogramming: a case study on budding yeast Saccharomyces cerevisiae. BMC Syst Biol 5(1):50
Erb I and van Nimwegen E  (2011) Transcription factor binding site positioning in yeast: proximal promoter motifs characterize tata-less promoters. PLoS One 6(9):e24279
Gallo CA, et al.  (2011) Discovering Time-Lagged Rules from Microarray Data using Gene Profile Classifiers. BMC Bioinformatics 12(1):123
Gordan R, et al.  (2011) Curated collection of yeast transcription factor DNA binding specificity data reveals novel structural and gene regulatory insights. Genome Biol 12(12):R125
Gormley M, et al.  (2011) An integrated framework to model cellular phenotype as a component of biochemical networks. Adv Bioinformatics 2011():608295
Guillemette B, et al.  (2011) H3 lysine 4 is acetylated at active gene promoters and is regulated by h3 lysine 4 methylation. PLoS Genet 7(3):e1001354
Hanlon SE, et al.  (2011) The Stress Response Factors Yap6, Cin5, Phd1, and Skn7 Direct Targeting of the Conserved Co-Repressor Tup1-Ssn6 in S. cerevisiae. PLoS One 6(4):e19060
Higa CH, et al.  (2011) Constraint-based analysis of gene interactions using restricted boolean networks and time-series data. BMC Proc 5 Suppl 2():S5
Hong S and Yoon S  (2011) Mcm1p binding sites in the ARG1 promoter positively regulate ARG1 transcription and S. cerevisiae growth in the absence of arginine and Gcn4p. Amino Acids 40(2):623-31
Jung PP, et al.  (2011) Ploidy influences cellular responses to gross chromosomal rearrangements in Saccharomyces cerevisiae. BMC Genomics 12(1):331
Sitaraman R  (2011) The treasure of the humble: Lessons from Baker's yeast. Biochem Mol Biol Educ 39(4):261-6
Tuglus C and van der Laan MJ  (2011) Repeated measures semiparametric regression using targeted maximum likelihood methodology with application to transcription factor activity discovery. Stat Appl Genet Mol Biol 10(1):Article2
Verdicchio MP and Kim S  (2011) Identifying targets for intervention by analyzing basins of attraction. Pac Symp Biocomput ():350-61
Vinod PK, et al.  (2011) Computational modelling of mitotic exit in budding yeast: the role of separase and Cdc14 endocycles. J R Soc Interface 8(61):1128-41
Results: 1 - 30 of 196 records
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