MAC1
YMR021C, CUA1
Copper-sensing transcription factor involved in regulation of genes required for high affinity copper transport
Best-performing DNA-binding model.
View and copy the recommended matrices ↘
A | 0.178 0.275 0.163 0.133 0.003 0.070 0.016 0.013 0.064 C | 0.107 0.181 0.040 0.043 0.212 0.048 0.804 0.075 0.788 G | 0.090 0.133 0.107 0.090 0.003 0.780 0.033 0.184 0.080 T | 0.624 0.411 0.689 0.734 0.781 0.101 0.147 0.728 0.069
A | 17 27 16 13 0 7 1 1 6 C | 10 18 4 4 21 4 80 7 78 G | 9 13 10 9 0 78 3 18 8 T | 62 41 68 73 78 10 14 72 6
A | -0.59 -0.15 -0.67 -0.88 -4.67 -1.52 -3.00 -3.20 -1.61 C | -0.52 0.01 -1.50 -1.43 0.16 -1.32 1.50 -0.88 1.48 G | -0.69 -0.30 -0.52 -0.69 -4.09 1.47 -1.70 0.02 -0.81 T | 0.67 0.25 0.77 0.83 0.89 -1.15 -0.78 0.82 -1.53
Alternative candidate matrices 5
Historical matrix candidates from the original ScerTF database. Expand a source to inspect its original logo, scores, and matrix values.
MAC1_AFoat et. al.P = 0.0002772View matrix ↘
A | 0.44 0.34 0.42 0.79 0.01 0.73 0.92 0.66 0.10 0.05 0.01 0.09 0.26 0.06 0.61 C | 0.01 0.25 0.08 0.20 0.01 0.12 0.01 0.24 0.57 0.01 0.97 0.86 0.26 0.36 0.31 G | 0.49 0.24 0.33 0.01 0.06 0.14 0.06 0.03 0.14 0.01 0.01 0.01 0.01 0.27 0.06 T | 0.07 0.17 0.17 0.01 0.92 0.01 0.01 0.06 0.19 0.93 0.01 0.05 0.48 0.31 0.02
A | 44 34 42 79 1 73 92 66 10 5 1 9 26 6 61 C | 1 25 8 20 1 12 1 24 56 1 97 86 26 36 31 G | 49 24 33 1 6 14 6 3 14 1 1 1 1 27 6 T | 7 17 17 1 92 1 1 6 19 93 1 5 48 31 2
A | 0.32 0.06 0.27 0.90 -3.47 0.82 1.06 0.72 -1.16 -1.86 -3.47 -1.27 -0.21 -1.67 0.65 C | -2.89 0.33 -0.81 0.11 -2.89 -0.41 -2.89 0.29 1.15 -2.89 1.68 1.56 0.37 0.69 0.54 G | 1.00 0.29 0.61 -2.89 -1.10 -0.25 -1.10 -1.79 -0.25 -2.89 -2.89 -2.89 -2.89 0.41 -1.10 T | -1.52 -0.63 -0.63 -3.47 1.06 -3.47 -3.47 -1.67 -0.52 1.07 -3.47 -1.86 0.41 -0.03 -2.77
MAC1_BFoat et. al.P = 1.59e-05View matrix ↘
A | 0.20 0.19 0.06 0.96 0.02 0.22 0.17 0.11 0.01 0.54 0.48 0.01 0.40 0.49 0.01 0.01 0.01 0.11 0.09 0.48 C | 0.02 0.20 0.74 0.02 0.01 0.01 0.42 0.08 0.59 0.22 0.08 0.16 0.24 0.07 0.01 0.07 0.01 0.66 0.50 0.12 G | 0.16 0.36 0.01 0.01 0.96 0.03 0.01 0.01 0.13 0.01 0.01 0.58 0.01 0.01 0.45 0.01 0.97 0.22 0.40 0.38 T | 0.62 0.26 0.19 0.01 0.01 0.74 0.40 0.80 0.28 0.23 0.43 0.25 0.35 0.43 0.53 0.91 0.01 0.01 0.01 0.02
A | 20 19 6 96 2 22 17 11 1 54 48 1 40 49 1 1 1 11 9 48 C | 2 20 74 2 1 1 42 8 59 22 8 16 24 7 1 7 1 66 50 12 G | 16 36 1 1 96 3 1 1 13 1 1 57 1 1 45 1 97 22 40 38 T | 62 26 19 1 1 74 40 80 28 23 43 25 35 43 53 91 1 1 1 2
A | -0.47 -0.52 -1.67 1.10 -2.77 -0.37 -0.63 -1.07 -3.47 0.52 0.41 -3.47 0.22 0.43 -3.47 -3.47 -3.47 -1.07 -1.27 0.41 C | -2.20 0.11 1.41 -2.20 -2.89 -2.89 0.85 -0.81 1.19 0.20 -0.81 -0.12 0.29 -0.94 -2.89 -0.94 -2.89 1.30 1.02 -0.41 G | -0.12 0.69 -2.89 -2.89 1.67 -1.79 -2.89 -2.89 -0.33 -2.89 -2.89 1.17 -2.89 -2.89 0.92 -2.89 1.68 0.20 0.80 0.75 T | 0.66 -0.21 -0.52 -3.47 -3.47 0.84 0.22 0.92 -0.13 -0.33 0.30 -0.25 0.09 0.30 0.50 1.05 -3.47 -3.47 -3.47 -2.77
MAC1Harbison et. al.P = 0.0001082View matrix ↘
A | 0.012 0.965 0.012 0.012 0.965 0.965 0.965 C | 0.012 0.012 0.012 0.965 0.012 0.012 0.012 G | 0.965 0.012 0.965 0.012 0.012 0.012 0.012 T | 0.012 0.012 0.012 0.012 0.012 0.012 0.012
A | 1 96 1 1 96 96 96 C | 1 1 1 96 1 1 1 G | 96 1 96 1 1 1 1 T | 1 1 1 1 1 1 1
A | -3.28 1.10 -3.28 -3.28 1.10 1.10 1.10 C | -2.71 -2.71 -2.71 1.68 -2.71 -2.71 -2.71 G | 1.68 -2.71 1.68 -2.71 -2.71 -2.71 -2.71 T | -3.28 -3.28 -3.28 -3.28 -3.28 -3.28 -3.28
MAC1Macisaac et. alP = 0.000161View matrix ↘
A | 0.116 0.129 0.714 0.289 0.197 0.594 0.682 0.562 0.503 0.928 C | 0.110 0.061 0.264 0.007 0.611 0.001 0.002 0.208 0.085 0.001 G | 0.135 0.806 0.021 0.703 0.091 0.404 0.080 0.060 0.183 0.035 T | 0.639 0.004 0.001 0.001 0.101 0.001 0.236 0.170 0.229 0.036
A | 11 12 71 28 19 59 68 56 50 92 C | 11 6 26 0 61 0 0 20 8 0 G | 13 80 2 70 9 40 8 6 18 3 T | 63 0 0 0 10 0 23 17 22 3
A | -1.01 -0.91 0.80 -0.10 -0.49 0.62 0.76 0.56 0.45 1.06 C | -0.49 -1.08 0.38 -3.25 1.22 -5.19 -4.50 0.14 -0.75 -5.19 G | -0.29 1.50 -2.15 1.36 -0.68 0.81 -0.81 -1.10 0.02 -1.64 T | 0.69 -4.38 -5.77 -5.77 -1.15 -5.77 -0.30 -0.63 -0.33 -2.18
MAC1Pachkov et alP = 0.0001533View matrix ↘
A | 0.062 0.051 0.001 0.068 0.001 0.001 0.001 0.555 C | 0.001 0.001 0.001 0.001 1.000 0.001 1.000 0.001 G | 0.001 0.125 0.001 0.932 0.001 0.001 0.001 0.379 T | 0.938 0.825 1.000 0.001 0.001 1.000 0.001 0.066
A | 6 5 0 6 0 0 0 55 C | 0 0 0 0 100 0 100 0 G | 0 12 0 93 0 0 0 37 T | 93 82 100 0 0 100 0 6
A | -1.64 -1.84 -5.77 -1.55 -5.77 -5.77 -5.77 0.55 C | -5.19 -5.19 -5.19 -5.19 1.71 -5.19 1.71 -5.19 G | -5.19 -0.36 -5.19 1.64 -5.19 -5.19 -5.19 0.74 T | 1.08 0.95 1.14 -5.77 -5.77 1.14 -5.77 -1.58
Gene-level annotations and interactions.
Genes bound in ChIP-chip experiments 134 genes
YAL022C, YAR009C, YAR068W, YAR069C, YBL018C, YBL046W, YBL047C, YBL048W, YBL049W, YBL074C, YBL101W-B, YBR156C, YBR158W, YBR297W, YCL031C, YCR025C, YDL024C, YDL030W, YDL040C, YDL045W-A, YDL128W, YDL184C, YDR058C, YDR355C, YDR506C, YEL032W, YER001W, YER007C-A, YER145C, YER146W, YFR016C, YGL115W, YGL135W, YGL136C, YGL172W, YGL173C, YGL195W, YGL234W, YGL236C, YGR124W, YGR136W, YGR137W, YGR255C, YGR256W, YHL034C, YHR135C, YHR193C, YHR194W, YIL015C-A, YIL102C, YIL112W, YIL135C, YIL159W, YIL160C, YIR020C, YJL006C, YJL048C, YJL052W, YJL148W, YJL217W, YJR041C, YJR042W, YJR049C, YJR050W, YJR100C, YKL063C, YKL080W, YKL118W, YKL127W, YKR073C, YLL058W, YLL059C, YLR035C-A, YLR105C, YLR110C, YLR111W, YLR122C, YLR123C, YLR124W, YLR213C, YLR214W, YLR328W, YLR354C, YLR410W-A, YLR410W-B, YML055W, YML056C, YML071C, YMR188C, YMR189W, YMR319C, YMR320W, YNL016W, YNL017C, YNL034W, YNL097C, YNL111C, YNL250W, YNL251C, YNL255C, YOL022C, YOL077W-A, YOL078W, YOL080C, YOL092W, YOL121C, YOL152W, YOL155C, YOR042W, YOR138C, YOR140W, YOR236W, YOR268C, YOR269W, YOR271C, YPL018W, YPL019C, YPL177C, YPL179W, YPL192C, YPL198W, YPL251W, YPL253C, YPR010C, YPR072W, YPR109W, YPR110C, YPR111W, YPR123C, YPR124W, YPR125W, YPR160W, YPR170C, YPR171W
Genes affected by TF deletion 92 genes
YLR274W, YMR166C, YDR365W-B, YOR038C, YPL014W, YPL016W, YDR128W, YFL041W, YMR103C, YMR105C, YOL104C, YPL283C, YDR276C, YGR250C, YNL339C, YHR050W, YMR104C, YMR106C, YOL105C, YIL015W, YGR296W, YCR021C, YHL050C, YMR022W, YOR229W, YOR043W, YOR075W, YER150W, YIL087C, YML120C, YMR023C, YNR066C, YJR148W, YMR084W, YNL123W, YDL234C, YKL145W, YDL040C, YFL050C, YGR008C, YIR035C, YLR343W, YOR324C, YOR354C, YCL027W, YBR296C, YGL112C, YKL212W, YLR129W, YNR038W, YPL087W, YGL027C, YGR138C, YOR051C, YDR419W, YLR258W, YAR027W, YGR139W, YFL026W, YOR361C, YHR219W, YHR070W, YIR043C, YNL160W, YER067W, YGR261C, YML100W-A, YNR044W, YBR054W, YIL102C, YLR297W, YOL004W, YNL233W, YDR055W, YMR034C, YEL037C, YHR135C, YLR049C, YLR452C, YMR181C, YMR250W, YLL026W, YNL167C, YOL164W, YOR343C-B, YBL051C, YCL040W, YCL042W, YLR178C, YMR276W, YFL068W, YLR395C
Genes supported by both experiments 3 genes
YDL040C, YHR135C, YIL102C