The 15 papers which experimentally study the biological roles of both TFs of the PCTFP (Msn4-Dal80)
Jiang R, et al. (2006) Network motif identification in stochastic networks. Proc Natl Acad Sci U S A 103(25):9404-9
Bandhakavi S, et al. (2008) Hsf1 Activation Inhibits Rapamycin Resistance and TOR Signaling in Yeast Revealed by Combined Proteomic and Genetic Analysis. PLoS One 3(2):e1598
Siddharthan R, et al. (2005) PhyloGibbs: a Gibbs sampling motif finder that incorporates phylogeny. PLoS Comput Biol 1(7):e67
Mak HC, et al. (2009) Dynamic reprogramming of transcription factors to and from the subtelomere. Genome Res 19(6):1014-25
Zheng J, et al. (2010) Epistatic relationships reveal the functional organization of yeast transcription factors. Mol Syst Biol 6():420
Rodkaer SV and Faergeman NJ (2014) Glucose- and nitrogen sensing and regulatory mechanisms in Saccharomyces cerevisiae. FEMS Yeast Res 14(5):683-96
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
Jothi R, et al. (2009) Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture. Mol Syst Biol 5:294
Carreto L, et al. (2011) Expression variability of co-regulated genes differentiates Saccharomyces cerevisiae strains. BMC Genomics 12(1):201
Beskow A and Wright AP (2006) Comparative analysis of regulatory transcription factors in Schizosaccharomyces pombe and budding yeasts. Yeast 23(13):929-35
Wu WS and Chen BS (2009) Identifying Stress Transcription Factors Using Gene Expression and TF-Gene Association Data. Bioinform Biol Insights 1():137-45
Yu H and Gerstein M (2006) Genomic analysis of the hierarchical structure of regulatory networks. Proc Natl Acad Sci U S A 103(40):14724-31
Swiecilo A (2016) Cross-stress resistance in Saccharomyces cerevisiae yeast-new insight into an old phenomenon. Cell Stress Chaperones ()
Lai FJ, et al. (2014) A comprehensive performance evaluation on the prediction results of existing cooperative transcription factors identification algorithms. BMC Syst Biol 8 Suppl 4():S9
Miller C, et al. (2011) Dynamic transcriptome analysis measures rates of mRNA synthesis and decay in yeast. Mol Syst Biol 7():458