The 26 papers which experimentally study the biological roles of both TFs of the PCTFP (Ste12-Skn7)
Chen G, et al. (2007) Clustering of genes into regulons using integrated modeling-COGRIM. Genome Biol 8(1):R4
Lorenz MC, et al. (2000) Characterization of alcohol-induced filamentous growth in Saccharomyces cerevisiae. Mol Biol Cell 11(1):183-99
Engelberg D, et al. (2014) Transmembrane signaling in Saccharomyces cerevisiae as a model for signaling in metazoans: state of the art after 25 years. Cell Signal 26(12):2865-78
Zhao XM, et al. (2008) Uncovering signal transduction networks from high-throughput data by integer linear programming. Nucleic Acids Res 36(9):e48
Contador CA, et al. (2011) Identification of transcription factors perturbed by the synthesis of high levels of a foreign protein in yeast saccharomyces cerevisiae. Biotechnol Prog 27(4):925-36
Vohradsky J (2012) Stochastic simulation for the inference of transcriptional control network of yeast cyclins genes. Nucleic Acids Res 40(15):7096-103
Wu WS, et al. (2006) Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle. BMC Bioinformatics 7(1):421
Yu T and Li KC (2005) Inference of transcriptional regulatory network by two-stage constrained space factor analysis. Bioinformatics 21(21):4033-8
Chua G, et al. (2006) Identifying transcription factor functions and targets by phenotypic activation. Proc Natl Acad Sci U S A 103(32):12045-50
Goh WS, et al. (2010) Blurring of high-resolution data shows that the effect of intrinsic nucleosome occupancy on transcription factor binding is mostly regional, not local. PLoS Comput Biol 6(1):e1000649
Mayhew D and Mitra RD (2014) Transcription factor regulation and chromosome dynamics during pseudohyphal growth. Mol Biol Cell 25(17):2669-76
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
Swamy KB, et al. (2009) Impact of DNA-binding position variants on yeast gene expression. Nucleic Acids Res 37(21):6991-7001
Gordan R, et al. (2009) Distinguishing direct versus indirect transcription factor-DNA interactions. Genome Res 19(11):2090-100
Lai WK and Buck MJ (2013) An integrative approach to understanding the combinatorial histone code at functional elements. Bioinformatics 29(18):2231-7
Torma A, et al. (2009) Concordant gene regulation related to perturbations of three GDP-mannose-related genes. FEMS Yeast Res 9(1):63-72
Gancedo JM (2001) Control of pseudohyphae formation in Saccharomyces cerevisiae. FEMS Microbiol Rev 25(1):107-23
Manioudaki ME and Poirazi P (2013) Modeling regulatory cascades using Artificial Neural Networks: the case of transcriptional regulatory networks shaped during the yeast stress response. Front Genet 4():110
Zhao Y, et al. (2008) Development of a Novel Oligonucleotide Array-Based Transcription Factor Assay Platform for Genome-Wide Active Transcription Factor Profiling in Saccharomyces cerevisiae. J Proteome Res 7(3):1315-1325
Gagiano M, et al. (2002) The sensing of nutritional status and the relationship to filamentous growth in Saccharomyces cerevisiae. FEMS Yeast Res 2(4):433-70
Jothi R, et al. (2009) Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture. Mol Syst Biol 5:294
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
Luscombe NM, et al. (2004) Genomic analysis of regulatory network dynamics reveals large topological changes. Nature 431(7006):308-12
Babbitt GA (2010) Relaxed selection against accidental binding of transcription factors with conserved chromatin contexts. Gene 466(1-2):43-8
Hansen L, et al. (2012) Differences in local genomic context of bound and unbound motifs. Gene 506(1):125-34
Kundaje A, et al. (2006) A classification-based framework for predicting and analyzing gene regulatory response. BMC Bioinformatics 7 Suppl 1():S5