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:
1.7
nTPM
Monaco:
9.1
nTPM
Schmiedel:
74.9
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.
1.7
HPA sample
nTPM
NK-cell nTPM: 1.7
Samples: 6
Max nTPM: 3.8
Min nTPM: 0.7
P10809_1013
1.3
P10809_1033
1.7
P10809_1052
1.1
P10809_1071
1.7
P10809_1093
3.8
P10809_1103
0.7
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.
9.1
Monaco sample
nTPM
NK-cell nTPM: 9.1
Samples: 4
Max nTPM: 13.3
Min nTPM: 5.9
RHH5316_R3683
7.6
RHH5224_R3596
5.9
RHH5253_R3625
9.6
RHH5282_R3654
13.3
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.
74.9
Schmiedel sample id
TPM
NK-cell TPM: 74.9
Samples: 90
Max TPM: 123.5
Min TPM: 51.0
NK_1
123.5
NK_2
111.2
NK_3
107.3
NK_4
104.4
NK_5
103.1
NK_6
97.0
NK_7
96.8
NK_8
95.8
NK_9
95.6
NK_10
93.2
NK_11
93.1
NK_12
92.7
NK_13
92.1
NK_14
91.7
NK_15
91.6
NK_16
91.6
NK_17
90.4
NK_18
89.8
NK_19
89.5
NK_20
88.2
NK_21
86.8
NK_22
86.8
NK_23
86.4
NK_24
84.8
NK_25
82.3
NK_26
82.1
NK_27
80.7
NK_28
80.1
NK_29
80.0
NK_30
80.0
NK_31
79.9
NK_32
79.2
NK_33
78.5
NK_34
78.4
NK_35
77.8
NK_36
77.4
NK_37
77.0
NK_38
76.0
NK_39
75.4
NK_40
75.0
NK_41
73.4
NK_42
73.4
NK_43
73.3
NK_44
72.5
NK_45
72.4
NK_46
72.4
NK_47
71.9
NK_48
70.1
NK_49
69.8
NK_50
69.6
NK_51
69.4
NK_52
69.0
NK_53
68.9
NK_54
68.4
NK_55
68.0
NK_56
67.8
NK_57
67.8
NK_58
67.3
NK_59
66.7
NK_60
66.7
NK_61
65.9
NK_62
64.1
NK_63
63.6
NK_64
63.3
NK_65
63.1
NK_66
63.1
NK_67
62.6
NK_68
62.5
NK_69
62.1
NK_70
62.0
NK_71
61.8
NK_72
61.0
NK_73
60.8
NK_74
60.6
NK_75
60.5
NK_76
60.3
NK_77
60.1
NK_78
60.0
NK_79
59.7
NK_80
58.8
NK_81
58.3
NK_82
58.1
NK_83
57.9
NK_84
56.3
NK_85
56.3
NK_86
56.2
NK_87
56.1
NK_88
55.9
NK_89
55.6
NK_90
51.0
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