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:
1.9
nTPM
Monaco:
38.5
nTPM
Schmiedel:
51.5
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.
1.9
HPA sample
nTPM
NK-cell nTPM: 2.0
Samples: 6
Max nTPM: 7.7
Min nTPM: 0.0
P10809_1013
4.0
P10809_1033
7.7
P10809_1052
0.0
P10809_1071
0.0
P10809_1093
0.0
P10809_1103
0.0
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.
38.5
Monaco sample
nTPM
NK-cell nTPM: 38.5
Samples: 4
Max nTPM: 97.9
Min nTPM: 0.1
RHH5316_R3683
0.1
RHH5224_R3596
55.7
RHH5253_R3625
97.9
RHH5282_R3654
0.2
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.
51.5
Schmiedel sample id
TPM
NK-cell TPM: 51.5
Samples: 90
Max TPM: 132.4
Min TPM: 0.0
NK_1
132.4
NK_2
130.2
NK_3
117.8
NK_4
110.7
NK_5
109.6
NK_6
107.7
NK_7
104.3
NK_8
103.3
NK_9
101.6
NK_10
100.2
NK_11
99.0
NK_12
98.1
NK_13
97.8
NK_14
95.5
NK_15
95.1
NK_16
92.4
NK_17
91.6
NK_18
91.6
NK_19
90.1
NK_20
85.1
NK_21
85.1
NK_22
84.8
NK_23
83.6
NK_24
83.5
NK_25
82.2
NK_26
81.7
NK_27
81.2
NK_28
81.0
NK_29
81.0
NK_30
80.6
NK_31
80.1
NK_32
79.7
NK_33
79.6
NK_34
79.2
NK_35
78.8
NK_36
77.3
NK_37
76.6
NK_38
76.2
NK_39
75.9
NK_40
75.6
NK_41
75.2
NK_42
74.8
NK_43
74.6
NK_44
73.5
NK_45
72.3
NK_46
71.1
NK_47
68.9
NK_48
68.8
NK_49
67.8
NK_50
65.6
NK_51
65.6
NK_52
64.5
NK_53
63.7
NK_54
63.5
NK_55
1.4
NK_56
0.3
NK_57
0.2
NK_58
0.1
NK_59
0.1
NK_60
0.1
NK_61
0.1
NK_62
0.1
NK_63
0.1
NK_64
0.1
NK_65
0.1
NK_66
0.1
NK_67
0.1
NK_68
0.0
NK_69
0.0
NK_70
0.0
NK_71
0.0
NK_72
0.0
NK_73
0.0
NK_74
0.0
NK_75
0.0
NK_76
0.0
NK_77
0.0
NK_78
0.0
NK_79
0.0
NK_80
0.0
NK_81
0.0
NK_82
0.0
NK_83
0.0
NK_84
0.0
NK_85
0.0
NK_86
0.0
NK_87
0.0
NK_88
0.0
NK_89
0.0
NK_90
0.0
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