S.ScerTFYeast transcription factor database Aaron Spivak
← All factors / TF RECORD

AFT2

YPL202C

View at SGD ↗

Iron-regulated transcriptional activator; activates genes involved in intracellular iron use and required for iron homeostasis and resistance to oxidative stress; similar to Aft1p

01 / RECOMMENDED MATRIX

Best-performing DNA-binding model.

RecommendedSource: Fordyce et. al.
Fisher’s P-value2.41e-29
Information content10.11
Max PWM score9.57
Recommended cutoff7.74
View and copy the recommended matrices ↘
Position frequency matrix (PFM)
A | 0.19 0.29 0.01 0.01 0.01 0.01 0.01 0.18 
C | 0.27 0.03 0.01 0.01 0.02 0.01 0.39 0.24 
G | 0.37 0.60 0.97 0.97 0.01 0.97 0.01 0.38 
T | 0.17 0.08 0.01 0.01 0.96 0.01 0.60 0.20
Position count matrix (PCM)
A |  19  28   1   1   1   1   1  18 
C |  27   3   1   1   2   1  39  24 
G |  37  60  97  97   1  97   1  38 
T |  17   8   1   1  96   1  60  20
Position weight matrix (PWM)
A | -0.52 -0.10 -3.47 -3.47 -3.47 -3.47 -3.47 -0.58 
C |  0.41 -1.79 -2.89 -2.89 -2.20 -2.89  0.77  0.29 
G |  0.72  1.20  1.68  1.68 -2.89  1.68 -2.89  0.75 
T | -0.63 -1.39 -3.47 -3.47  1.10 -3.47  0.63 -0.47
02 / COMPARATIVE BENCHMARKS

Alternative candidate matrices 8

Historical matrix candidates from the original ScerTF database. Expand a source to inspect its original logo, scores, and matrix values.

AFT2Badis et. al.P = 4.89e-27View matrix ↘
Sequence logo for AFT2
Fisher’s P-value4.89e-27
Information content11.15
Max PWM score8.6
Recommended cutoff8.31
Position frequency matrix (PFM)
A | 0.69 0.01 0.97 0.01 0.01 0.01 
C | 0.01 0.97 0.01 0.97 0.97 0.97 
G | 0.29 0.01 0.01 0.01 0.01 0.01 
T | 0.01 0.01 0.01 0.01 0.01 0.01
Position count matrix (PCM)
A |  69   1  97   1   1   1 
C |   1  97   1  97  97  97 
G |  28   1   1   1   1   1 
T |   1   1   1   1   1   1
Position weight matrix (PWM)
A |  0.77 -3.47  1.11 -3.47 -3.47 -3.47 
C | -2.89  1.68 -2.89  1.68  1.68  1.68 
G |  0.48 -2.89 -2.89 -2.89 -2.89 -2.89 
T | -3.47 -3.47 -3.47 -3.47 -3.47 -3.47
Badis et. al.
AFT2_AFoat et. al.P = 4.08e-16View matrix ↘
Sequence logo for AFT2_A
Fisher’s P-value4.08e-16
Information content14.71
Max PWM score14.05
Recommended cutoff8.99
Position frequency matrix (PFM)
A | 0.15 0.01 0.34 0.01 0.90 0.01 0.96 0.01 0.64 0.06 0.09 0.01 
C | 0.01 0.30 0.25 0.94 0.01 0.93 0.01 0.97 0.06 0.59 0.03 0.78 
G | 0.22 0.04 0.36 0.02 0.01 0.01 0.01 0.01 0.29 0.01 0.83 0.01 
T | 0.62 0.66 0.05 0.03 0.08 0.05 0.02 0.01 0.01 0.35 0.05 0.20
Position count matrix (PCM)
A |  15   1  34   1  90   1  96   1  64   6   9   1 
C |   1  30  25  94   1  93   1  97   6  59   3  78 
G |  22   4  36   2   1   1   1   1  28   1  83   1 
T |  62  66   5   3   8   5   2   1   1  35   5  20
Position weight matrix (PWM)
A | -0.76 -3.47  0.06 -3.47  1.03 -3.47  1.10 -3.47  0.69 -1.67 -1.27 -3.47 
C | -2.89  0.51  0.33  1.65 -2.89  1.64 -2.89  1.68 -1.10  1.19 -1.79  1.47 
G |  0.20 -1.50  0.69 -2.20 -2.89 -2.89 -2.89 -2.89  0.48 -2.89  1.53 -2.89 
T |  0.66  0.72 -1.86 -2.37 -1.39 -1.86 -2.77 -3.47 -3.47  0.09 -1.86 -0.47
Foat et. al.
AFT2_BFoat et. al.P = 1.47e-24View matrix ↘
Sequence logo for AFT2_B
Fisher’s P-value1.47e-24
Information content11.61
Max PWM score10.9
Recommended cutoff6.99
Position frequency matrix (PFM)
A | 0.06 0.32 0.01 0.96 0.01 0.02 0.01 0.02 
C | 0.52 0.09 0.97 0.02 0.97 0.96 0.87 0.49 
G | 0.27 0.56 0.01 0.01 0.01 0.01 0.03 0.17 
T | 0.15 0.03 0.01 0.01 0.01 0.01 0.09 0.32
Position count matrix (PCM)
A |   6  32   1  96   1   2   1   2 
C |  52   9  97   2  97  96  87  49 
G |  27  56   1   1   1   1   3  17 
T |  15   3   1   1   1   1   9  32
Position weight matrix (PWM)
A | -1.67  0.00 -3.47  1.10 -3.47 -2.77 -3.47 -2.77 
C |  1.06 -0.69  1.68 -2.20  1.68  1.67  1.58  1.00 
G |  0.41  1.13 -2.89 -2.89 -2.89 -2.89 -1.79 -0.06 
T | -0.76 -2.37 -3.47 -3.47 -3.47 -3.47 -1.27  0.00
Foat et. al.
AFT2_CFoat et. al.P = 2.40e-05View matrix ↘
Sequence logo for AFT2_C
Fisher’s P-value2.40e-05
Information content18.79
Max PWM score17.38
Recommended cutoff10.87
Position frequency matrix (PFM)
A | 0.09 0.89 0.02 0.01 0.97 0.01 0.23 0.92 0.10 0.74 0.45 0.82 0.02 0.01 0.38 
C | 0.75 0.01 0.01 0.97 0.01 0.95 0.74 0.01 0.28 0.24 0.01 0.17 0.01 0.01 0.56 
G | 0.01 0.09 0.33 0.01 0.01 0.02 0.02 0.06 0.01 0.01 0.50 0.01 0.01 0.94 0.05 
T | 0.15 0.01 0.64 0.01 0.01 0.02 0.01 0.01 0.61 0.01 0.05 0.01 0.95 0.04 0.01
Position count matrix (PCM)
A |   9  89   2   1  97   1  23  92  10  74  45  82   2   1  38 
C |  75   1   1  97   1  95  74   1  28  24   1  17   1   1  56 
G |   1   9  33   1   1   2   2   6   1   1  50   1   1  94   5 
T |  15   1  64   1   1   2   1   1  61   1   5   1  95   4   1
Position weight matrix (PWM)
A | -1.27  1.02 -2.77 -3.47  1.11 -3.47 -0.33  1.06 -1.16  0.84  0.34  0.94 -2.77 -3.47  0.17 
C |  1.43 -2.89 -2.89  1.68 -2.89  1.66  1.41 -2.89  0.44  0.29 -2.89 -0.06 -2.89 -2.89  1.13 
G | -2.89 -0.69  0.61 -2.89 -2.89 -2.20 -2.20 -1.10 -2.89 -2.89  1.02 -2.89 -2.89  1.65 -1.28 
T | -0.76 -3.47  0.69 -3.47 -3.47 -2.77 -3.47 -3.47  0.65 -3.47 -1.86 -3.47  1.09 -2.08 -3.47
Foat et. al.
AFT2_AFordyce et. al.P = 4.22e-23View matrix ↘
Fisher’s P-value4.22e-23
Information content9.914
Max PWM score9.44
Recommended cutoff7.83
Position frequency matrix (PFM)
A | 0.29 0.01 0.01 0.01 0.01 0.01 0.18 0.23 
C | 0.05 0.01 0.01 0.02 0.01 0.41 0.29 0.18 
G | 0.57 0.97 0.97 0.01 0.97 0.01 0.33 0.37 
T | 0.09 0.01 0.01 0.96 0.01 0.58 0.20 0.22
Position count matrix (PCM)
A |  28   1   1   1   1   1  18  23 
C |   5   1   1   2   1  41  28  18 
G |  56  97  97   1  97   1  33  37 
T |   9   1   1  96   1  57  20  22
Position weight matrix (PWM)
A | -0.10 -3.47 -3.47 -3.47 -3.47 -3.47 -0.58 -0.33 
C | -1.28 -2.89 -2.89 -2.20 -2.89  0.82  0.48  0.00 
G |  1.15  1.68  1.68 -2.89  1.68 -2.89  0.61  0.72 
T | -1.27 -3.47 -3.47  1.10 -3.47  0.59 -0.47 -0.37
Fordyce et. al.
AFT2_CFordyce et. al.P = 4.22e-23View matrix ↘
Fisher’s P-value4.22e-23
Information content9.914
Max PWM score9.44
Recommended cutoff7.83
Position frequency matrix (PFM)
A | 0.29 0.01 0.01 0.01 0.01 0.01 0.18 0.23 
C | 0.05 0.01 0.01 0.02 0.01 0.41 0.29 0.18 
G | 0.57 0.97 0.97 0.01 0.97 0.01 0.33 0.37 
T | 0.09 0.01 0.01 0.96 0.01 0.58 0.20 0.22
Position count matrix (PCM)
A |  28   1   1   1   1   1  18  23 
C |   5   1   1   2   1  41  28  18 
G |  56  97  97   1  97   1  33  37 
T |   9   1   1  96   1  57  20  22
Position weight matrix (PWM)
A | -0.10 -3.47 -3.47 -3.47 -3.47 -3.47 -0.58 -0.33 
C | -1.28 -2.89 -2.89 -2.20 -2.89  0.82  0.48  0.00 
G |  1.15  1.68  1.68 -2.89  1.68 -2.89  0.61  0.72 
T | -1.27 -3.47 -3.47  1.10 -3.47  0.59 -0.47 -0.37
Fordyce et. al.
AFT2Harbison et. al.P = 4.89e-27View matrix ↘
Sequence logo for AFT2
Fisher’s P-value4.89e-27
Information content8.03
Max PWM score8.25
Recommended cutoff7.33
Position frequency matrix (PFM)
A | 0.076 0.025 0.029 0.057 0.025 0.045 
C | 0.039 0.087 0.053 0.017 0.130 0.528 
G | 0.852 0.852 0.887 0.088 0.821 0.051 
T | 0.033 0.036 0.031 0.837 0.024 0.377
Position count matrix (PCM)
A |   7   2   2   5   2   4 
C |   3   8   5   1  13  52 
G |  85  85  88   8  82   5 
T |   3   3   3  83   2  37
Position weight matrix (PWM)
A | -1.44 -2.55 -2.40 -1.73 -2.55 -1.96 
C | -1.53 -0.73 -1.22 -2.36 -0.33  1.08 
G |  1.55  1.55  1.59 -0.72  1.52 -1.26 
T | -2.27 -2.18 -2.33  0.96 -2.59  0.16
Harbison et. al.
AFT2Macisaac et. alP = 2.97e-25View matrix ↘
Sequence logo for AFT2
Fisher’s P-value2.97e-25
Information content9.751
Max PWM score9.21
Recommended cutoff6.83
Position frequency matrix (PFM)
A | 0.047 0.213 0.010 0.947 0.020 0.102 0.013 
C | 0.176 0.031 0.941 0.001 0.962 0.847 0.780 
G | 0.286 0.673 0.001 0.034 0.008 0.047 0.053 
T | 0.491 0.083 0.048 0.018 0.010 0.004 0.154
Position count matrix (PCM)
A |   4  21   1  94   2  10   1 
C |  17   3  94   0  96  84  78 
G |  28  67   0   3   0   4   5 
T |  49   8   4   1   1   0  15
Position weight matrix (PWM)
A | -1.92 -0.41 -3.47  1.08 -2.77 -1.14 -3.20 
C | -0.02 -1.76  1.65 -5.19  1.68  1.55  1.47 
G |  0.46  1.32 -5.19 -1.67 -3.11 -1.34 -1.22 
T |  0.43 -1.35 -1.90 -2.88 -3.47 -4.38 -0.73
Macisaac et. al
03 / EXPERIMENTAL CONTEXT

Gene-level annotations and interactions.

Genes bound in ChIP-chip experiments 112 genes

YBL009W, YBL010C, YBL109W, YBL111C, YBL112C, YBL113C, YBR057C, YBR077C, YBR078W, YBR080C, YBR102C, YBR103W, YBR216C, YBR217W, YCR018C-A, YCR019W, YCR096C, YCR105W, YCR107W, YDL045W-A, YDL089W, YDL090C, YDL114W, YDL115C, YDL154W, YDL184C, YDR179C, YDR179W-A, YDR282C, YDR473C, YDR534C, YDR543C, YEL074W, YEL075C, YEL076C, YEL076C-A, YFR041C, YFR042W, YGL227W, YGL259W, YGR116W, YHL010C, YHL011C, YHL042W, YHL049C, YHR005C, YHR012W, YHR085W, YHR090C, YHR091C, YHR147C, YHR148W, YIL027C, YIL038C, YIL070C, YIL082W, YIL083C, YIL177C, YJL205C-A, YJL225C, YJR135C, YKL009W, YKL010C, YKL049C, YKL077W, YKL169C, YKR017C, YKR052C, YKR056W, YKR060W, YLR014C, YLR015W, YLR034C, YLR067C, YLR068W, YLR125W, YLR181C, YLR182W, YLR261C, YLR262C, YLR284C, YLR285W, YLR410W-A, YLR410W-B, YLR462W, YLR464W, YLR466W, YML133C, YMR126C, YMR150C, YMR152W, YMR154C, YMR155W, YMR200W, YMR218C, YMR219W, YNL101W, YNL214W, YNL268W, YNL270C, YNL337W, YNL338W, YNL339C, YOL023W, YOL144W, YOL145C, YOR226C, YOR227W, YPL034W, YPL283C, YPR176C, YPR178W

Genes affected by TF deletion 98 genes

YLR216C, YHR146W, YJL115W, YKL043W, YDR207C, YMR009W, YMR042W, YOR190W, YOR220W, YLR026C, YPL016W, YBR126C, YFL013W-A, YGR033C, YIR001C, YOR317W, YER030W, YIL020C, YML027W, YMR314W, YMR316W, YBR093C, YFR004W, YMR070W, YMR072W, YNL180C, YDR281C, YER029C, YKL142W, YLR119W, YLR183C, YIL124W, YOR261C, YGR132C, YHR127W, YJL123C, YKL119C, YLR438C-A, YLR412W, YOR075W, YPL055C, YHL021C, YOR198C, YDL135C, YFR041C, YLR099C, YOR074C, YOR386W, YKL026C, YNL155W, YOL082W, YOR357C, YPL120W, YPL156C, YBR101C, YMR144W, YOR298C-A, YGR253C, YNL065W, YOL002C, YBR209W, YNL289W, YPL066W, YOL032W, YDR209C, YEL060C, YGR137W, YGR167W, YOR052C, YOR054C, YOR367W, YLR140W, YPL130W, YBR056W, YBR026C, YOR027W, YCR007C, YDR425W, YGL255W, YIL103W, YOL038W, YPL202C, YBR244W, YJL076W, YLR079W, YLR049C, YPL075W, YBR116C, YDL023C, YPR076W, YCL040W, YJR014W, YDL022W, YKL007W, YNL166C, YOL101C, YML049C, YNL007C

Genes supported by both experiments 1 genes

YFR041C

Predicted TF–TF partners 10 genes

CAT8, FHL1, GSM1, MIG1, MIG3, RAP1, RSF2, SFP1, SUT1, TYE7

Explore 10 original interaction plots →