A summary of mRNA expression data available for current tissue based on several datasets. The mRNA expression levels in human tissues are based on RNA-seq data generated by the Human Protein Atlas HPA, Genotype-Tissue Expression GTEx portal and CAGE data generated by the FANTOM5 consortium. Consensus normalized expression levels for human tissues was created by combining the data from HPA and GTEx datasets. The mRNA expression levels in pig brain are based on RNA-seq data generated by the Human Protein Atlas, and for mouse brain HPA data and in situ hybridization generated by the Allen brain atlas dataset are reported.
Scroll down to view mRNA expression data in more detail.
HPA:
46.2
nTPM
Monaco:
301.3
nTPM
Schmiedel:
115.5
TPM
NK-CELLS - HPA RNA-seqi
The RNA-seq details section shows detailed information about the individual samples used for the transcript profiling and results of the RNA-seq analysis.
Information about each individual sample is listed below. nTPM (normalized transcripts per million) values give a quantification of the gene abundance which is comparable between different genes and samples. Distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. nTPM values of the individual samples are presented next to the box plot.
Max subtype nTPMi
Max subtype nTPM is the value for the subtype that has the largest average nTPM across subtype samples.
46.2
HPA sample
nTPM
NK-cell nTPM: 46.2
Samples: 6
Max nTPM: 60.3
Min nTPM: 29.7
P10809_1013
45.7
P10809_1033
59.6
P10809_1052
36.6
P10809_1071
45.4
P10809_1093
60.3
P10809_1103
29.7
NK-CELLS - Monaco RNA-seqi
RNA-Seq data generated by Monaco et al is reported as average nTPM.
The RNA-seq details section shows detailed information about the individual samples used for the transcript profiling and results of the RNA-seq analysis.
Information about each individual sample is listed below. nTPM (normalized transcripts per million) values give a quantification of the gene abundance which is comparable between different genes and samples. Distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. nTPM values of the individual samples are presented next to the box plot.
Max subtype nTPMi
Max subtype nTPM is the value for the subtype that has the largest average nTPM across subtype samples.
301.3
Monaco sample
nTPM
NK-cell nTPM: 301.3
Samples: 4
Max nTPM: 347.8
Min nTPM: 253.1
RHH5316_R3683
271.6
RHH5224_R3596
253.1
RHH5253_R3625
347.8
RHH5282_R3654
332.8
NK-CELLS - Schmiedel RNA-seqi
RNA-Seq data generated by Schmiedel et al is reported as average TPM.
The RNA-seq details section shows detailed information about the individual samples used for the transcript profiling and results of the RNA-seq analysis.
Information about each individual sample is listed below. TPM (transcripts per million) values give a quantification of the gene abundance which is comparable between different genes and samples. Distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. TPM values of the individual samples are presented next to the box plot.
Max subtype TPMi
Max subtype nTPM is the value for the subtype that has the largest average nTPM across subtype samples.
115.5
Schmiedel sample id
TPM
NK-cell TPM: 115.5
Samples: 90
Max TPM: 136.6
Min TPM: 98.1
NK_1
136.6
NK_2
134.5
NK_3
128.7
NK_4
128.6
NK_5
128.3
NK_6
127.6
NK_7
127.2
NK_8
126.9
NK_9
126.8
NK_10
126.4
NK_11
124.7
NK_12
124.3
NK_13
123.7
NK_14
123.4
NK_15
123.1
NK_16
122.9
NK_17
122.9
NK_18
122.2
NK_19
121.8
NK_20
121.3
NK_21
121.3
NK_22
121.1
NK_23
120.7
NK_24
120.7
NK_25
119.8
NK_26
119.5
NK_27
119.4
NK_28
119.4
NK_29
119.3
NK_30
119.3
NK_31
119.1
NK_32
119.0
NK_33
118.2
NK_34
117.9
NK_35
117.8
NK_36
117.8
NK_37
117.3
NK_38
117.3
NK_39
116.7
NK_40
116.6
NK_41
116.6
NK_42
116.1
NK_43
116.1
NK_44
115.9
NK_45
115.9
NK_46
115.6
NK_47
115.5
NK_48
115.2
NK_49
115.1
NK_50
115.1
NK_51
114.7
NK_52
114.0
NK_53
113.9
NK_54
113.8
NK_55
113.2
NK_56
113.0
NK_57
112.7
NK_58
112.3
NK_59
112.1
NK_60
111.3
NK_61
111.2
NK_62
111.2
NK_63
111.0
NK_64
110.9
NK_65
110.4
NK_66
110.4
NK_67
110.3
NK_68
110.2
NK_69
110.1
NK_70
109.7
NK_71
109.4
NK_72
109.3
NK_73
109.2
NK_74
108.8
NK_75
108.6
NK_76
107.8
NK_77
105.8
NK_78
105.7
NK_79
105.4
NK_80
105.3
NK_81
105.3
NK_82
105.1
NK_83
104.8
NK_84
104.0
NK_85
103.3
NK_86
102.7
NK_87
102.4
NK_88
101.2
NK_89
100.2
NK_90
98.1
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