S.ScerTFYeast transcription factor database Aaron Spivak
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INO4

YOL108C

View at SGD ↗

Transcription factor required for derepression of inositol-choline-regulated genes involved in phospholipid synthesis; forms a complex, with Ino2p, that binds the inositol-choline-responsive element through a basic helix-loop-helix domain

01 / RECOMMENDED MATRIX

Best-performing DNA-binding model.

RecommendedSource: Pachkov et al
Fisher’s P-value6.08e-29
Information content15.16
Max PWM score13.09
Recommended cutoff8.53
View and copy the recommended matrices ↘
Position frequency matrix (PFM)
A | 0.244 0.002 0.878 0.001 0.061 0.058 0.001 0.870 0.953 0.838 0.671 
C | 0.210 0.998 0.057 0.015 0.001 0.006 0.001 0.049 0.001 0.001 0.001 
G | 0.515 0.001 0.015 0.001 0.939 0.020 1.000 0.081 0.047 0.121 0.126 
T | 0.031 0.001 0.049 0.985 0.001 0.916 0.001 0.001 0.001 0.041 0.203
Position count matrix (PCM)
A |  24   0  87   0   6   5   0  87  95  83  67 
C |  21  99   5   1   0   0   0   4   0   0   0 
G |  51   0   1   0  93   2 100   8   4  12  12 
T |   3   0   4  98   0  91   0   0   0   4  20
Position weight matrix (PWM)
A | -0.27 -5.08  1.01 -5.77 -1.66 -1.71 -5.77  1.00  1.09  0.96  0.74 
C |  0.15  1.71 -1.15 -2.48 -5.19 -3.40 -5.19 -1.30 -5.19 -5.19 -5.19 
G |  1.05 -5.19 -2.48 -5.19  1.65 -2.20  1.71 -0.80 -1.34 -0.40 -0.36 
T | -2.33 -5.77 -1.88  1.12 -5.77  1.05 -5.77 -5.77 -5.77 -2.05 -0.46
02 / COMPARATIVE BENCHMARKS

Alternative candidate matrices 4

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

INO4Foat et. al.P = 2.67e-16View matrix ↘
Sequence logo for INO4
Fisher’s P-value2.67e-16
Information content9.275
Max PWM score8.67
Recommended cutoff7.38
Position frequency matrix (PFM)
A | 0.28 0.10 0.01 0.93 0.01 0.69 0.22 0.01 
C | 0.03 0.05 0.97 0.01 0.84 0.01 0.01 0.01 
G | 0.17 0.19 0.01 0.05 0.01 0.29 0.11 0.97 
T | 0.52 0.66 0.01 0.01 0.15 0.01 0.66 0.01
Position count matrix (PCM)
A |  28  10   1  93   1  69  22   1 
C |   3   5  97   1  84   1   1   1 
G |  17  19   1   5   1  28  11  97 
T |  52  66   1   1  15   1  66   1
Position weight matrix (PWM)
A | -0.13 -1.16 -3.47  1.07 -3.47  0.77 -0.37 -3.47 
C | -1.79 -1.28  1.68 -2.89  1.54 -2.89 -2.89 -2.89 
G | -0.06  0.05 -2.89 -1.28 -2.89  0.48 -0.49  1.68 
T |  0.49  0.72 -3.47 -3.47 -0.76 -3.47  0.72 -3.47
Foat et. al.
INO4Harbison et. al.P = 6.80e-24View matrix ↘
Sequence logo for INO4
Fisher’s P-value6.80e-24
Information content10.81
Max PWM score10.84
Recommended cutoff7.82
Position frequency matrix (PFM)
A | 0.018 0.841 0.007 0.074 0.090 0.007 0.768 0.769 0.573 0.539 
C | 0.967 0.039 0.042 0.048 0.014 0.031 0.080 0.063 0.098 0.101 
G | 0.004 0.012 0.007 0.857 0.012 0.953 0.119 0.059 0.151 0.127 
T | 0.011 0.109 0.944 0.021 0.884 0.009 0.033 0.109 0.178 0.233
Position count matrix (PCM)
A |   1  84   0   7   9   0  76  76  57  53 
C |  96   3   4   4   1   3   8   6   9  10 
G |   0   1   0  85   1  95  11   5  15  12 
T |   1  10  94   2  88   0   3  10  17  23
Position weight matrix (PWM)
A | -2.88  0.97 -3.82 -1.46 -1.27 -3.82  0.88  0.88  0.58  0.52 
C |  1.68 -1.53 -1.46 -1.32 -2.55 -1.76 -0.81 -1.05 -0.61 -0.58 
G | -3.81 -2.71 -3.25  1.56 -2.71  1.67 -0.41 -1.12 -0.18 -0.35 
T | -3.37 -1.08  1.08 -2.72  1.02 -3.57 -2.27 -1.08 -0.59 -0.32
Harbison et. al.
INO4Macisaac et. alP = 7.45e-23View matrix ↘
Sequence logo for INO4
Fisher’s P-value7.45e-23
Information content11.95
Max PWM score11.07
Recommended cutoff9.05
Position frequency matrix (PFM)
A | 0.189 0.020 0.817 0.001 0.076 0.014 0.119 0.863 0.838 
C | 0.175 0.848 0.061 0.001 0.001 0.001 0.014 0.037 0.039 
G | 0.588 0.001 0.001 0.007 0.922 0.001 0.866 0.093 0.104 
T | 0.048 0.131 0.121 0.991 0.001 0.984 0.001 0.007 0.019
Position count matrix (PCM)
A |  18   2  81   0   7   1  11  86  83 
C |  17  84   6   0   0   0   1   3   3 
G |  58   0   0   0  92   0  86   9  10 
T |   4  13  12  99   0  98   0   0   1
Position weight matrix (PWM)
A | -0.53 -2.77  0.94 -5.77 -1.44 -3.13 -0.99  0.99  0.96 
C | -0.03  1.55 -1.08 -5.19 -5.19 -5.19 -2.55 -1.58 -1.53 
G |  1.18 -5.19 -5.19 -3.25  1.63 -5.19  1.57 -0.66 -0.55 
T | -1.90 -0.89 -0.97  1.13 -5.77  1.12 -5.77 -3.82 -2.82
Macisaac et. al
INO4Morozov et. al.P = 7.19e-23View matrix ↘
Sequence logo for INO4
Fisher’s P-value7.19e-23
Information content11.1
Max PWM score10.59
Recommended cutoff8.34
Position frequency matrix (PFM)
A | 0.159 0.077 0.010 0.949 0.006 0.707 0.016 0.037 0.115 
C | 0.060 0.062 0.974 0.010 0.928 0.032 0.015 0.019 0.586 
G | 0.118 0.192 0.010 0.010 0.048 0.255 0.029 0.938 0.128 
T | 0.663 0.669 0.006 0.031 0.018 0.006 0.941 0.007 0.170
Position count matrix (PCM)
A |  15   7   1  94   0  70   1   3  11 
C |   6   6  97   1  92   3   1   1  58 
G |  11  19   1   1   4  25   2  93  12 
T |  66  66   0   3   1   0  94   0  17
Position weight matrix (PWM)
A | -0.70 -1.42 -3.47  1.09 -3.98  0.79 -3.00 -2.16 -1.02 
C | -1.10 -1.07  1.69 -2.89  1.64 -1.73 -2.48 -2.25  1.18 
G | -0.42  0.06 -2.89 -2.89 -1.32  0.35 -1.83  1.65 -0.34 
T |  0.73  0.74 -3.98 -2.33 -2.88 -3.98  1.08 -3.82 -0.63
Morozov et. al.
03 / EXPERIMENTAL CONTEXT

Gene-level annotations and interactions.

Genes bound in ChIP-chip experiments 194 genes

YAL053W, YAL054C, YBL106C, YBR029C, YBR030W, YBR066C, YBR083W, YBR085C-A, YBR120C, YBR121C, YBR144C, YBR145W, YBR158W, YBR238C, YCR034W, YCR057C, YCR064C, YCR065W, YCR098C, YDL049C, YDL080C, YDL124W, YDL125C, YDL136W, YDL141W, YDL142C, YDR050C, YDR072C, YDR073W, YDR085C, YDR129C, YDR146C, YDR147W, YDR169C, YDR274C, YDR275W, YDR278C, YDR297W, YDR312W, YDR343C, YDR345C, YDR384C, YDR385W, YDR438W, YDR451C, YDR452W, YDR497C, YDR498C, YDR499W, YDR508C, YDR510W, YEL040W, YER017C, YER026C, YER033C, YER034W, YER035W, YER043C, YER045C, YER062C, YER063W, YER091C, YER092W, YER158C, YFL017W-A, YFL018C, YFR015C, YGL077C, YGL116W, YGL184C, YGR050C, YGR055W, YGR123C, YGR154C, YGR155W, YGR157W, YGR169C, YGR170W, YGR177C, YGR189C, YGR196C, YGR233C, YGR238C, YHL004W, YHL007C, YHR067W, YHR096C, YHR123W, YIL099W, YIL119C, YJL048C, YJL078C, YJL117W, YJL119C, YJL140W, YJL141C, YJL142C, YJL152W, YJL153C, YJL167W, YJL168C, YJR008W, YJR104C, YJR105W, YJR127C, YJR145C, YJR146W, YJR147W, YKL060C, YKL062W, YKL081W, YKL082C, YKL110C, YKL128C, YKL182W, YKR093W, YLR018C, YLR019W, YLR034C, YLR044C, YLR108C, YLR109W, YLR132C, YLR133W, YLR249W, YLR253W, YLR347C, YLR349W, YLR351C, YLR352W, YLR370C, YLR371W, YLR378C, YLR380W, YML006C, YML075C, YMR037C, YMR043W, YMR070W, YMR084W, YMR135C, YMR136W, YMR186W, YMR195W, YMR301C, YMR306C-A, YMR307W, YMR316C-A, YMR317W, YMR319C, YNL015W, YNL043C, YNL044W, YNL080C, YNL090W, YNL101W, YNL103W, YNL104C, YNL129W, YNL130C, YNL144C, YNL155W, YNL156C, YNL169C, YNL171C, YNL175C, YNL178W, YNL246W, YNL306W, YNL307C, YNR016C, YNR017W, YOL010W, YOL027C, YOR032C, YOR064C, YOR065W, YOR230W, YOR234C, YOR316C, YOR317W, YOR344C, YPL056C, YPL090C, YPL155C, YPL231W, YPR013C, YPR023C, YPR024W, YPR028W, YPR035W, YPR115W, YPR124W, YPR195C

Genes affected by TF deletion 95 genes

YHL014C, YMR012W, YOL045W, YPL207W, YDR217C, YJL082W, YJL116C, YMR159C, YPL016W, YOL108C, YDL158C, YDR308C, YGR244C, YJL099W, YFL011W, YGR058W, YOL107W, YCL012W, YKL171W, YIL055C, YGL175C, YKR051W, YLR131C, YHR154W, YMR234W, YNL217W, YNR070W, YKR023W, YJL090C, YML005W, YOR386W, YPR119W, YHR089C, YIR042C, YLR005W, YDR290W, YGR226C, YKL182W, YOL113W, YDL169C, YJL184W, YJL222W, YER137C, YDR048C, YBR177C, YGL029W, YLR078C, YJR161C, YPR195C, YER099C, YLR168C, YBL042C, YBR022W, YDR088C, YDR058C, YDR092W, YDR034C, YDR390C, YDR422C, YER135C, YJR108W, YJR110W, YMR037C, YNL105W, YEL035C, YBR185C, YDL090C, YGL003C, YGL035C, YHR168W, YKL097C, YKL072W, YKL103C, YJR043C, YKR068C, YAL061W, YFR057W, YJL108C, YKL130C, YJL045W, YLL054C, YNL205C, YBL013W, YGR206W, YIL072W, YGR056W, YJL039C, YKL034W, YPR071W, YBL048W, YGL162W, YJL174W, YLR177W, YNL009W, YOR126C

Genes supported by both experiments 3 genes

YKL182W, YMR037C, YPR195C