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:
8.6
nTPM
Monaco:
32.7
nTPM
Schmiedel:
60.8
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.
8.6
HPA sample
nTPM
NK-cell nTPM: 8.6
Samples: 6
Max nTPM: 15.5
Min nTPM: 0.0
P10809_1013
13.2
P10809_1033
2.8
P10809_1052
6.7
P10809_1071
13.2
P10809_1093
0.0
P10809_1103
15.5
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.
32.7
Monaco sample
nTPM
NK-cell nTPM: 32.7
Samples: 4
Max nTPM: 44.0
Min nTPM: 23.3
RHH5316_R3683
30.0
RHH5224_R3596
23.3
RHH5253_R3625
44.0
RHH5282_R3654
33.4
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.
60.8
Schmiedel sample id
TPM
NK-cell TPM: 60.8
Samples: 90
Max TPM: 115.6
Min TPM: 18.2
NK_1
115.6
NK_2
111.6
NK_3
102.6
NK_4
99.4
NK_5
97.6
NK_6
97.5
NK_7
94.5
NK_8
94.0
NK_9
93.9
NK_10
91.2
NK_11
90.8
NK_12
90.1
NK_13
89.4
NK_14
87.3
NK_15
86.4
NK_16
86.3
NK_17
86.3
NK_18
86.1
NK_19
85.6
NK_20
84.5
NK_21
81.9
NK_22
81.7
NK_23
80.8
NK_24
76.6
NK_25
75.3
NK_26
73.3
NK_27
73.1
NK_28
72.0
NK_29
70.8
NK_30
68.9
NK_31
67.7
NK_32
67.5
NK_33
67.2
NK_34
66.7
NK_35
65.6
NK_36
65.6
NK_37
65.2
NK_38
64.0
NK_39
63.9
NK_40
63.1
NK_41
62.2
NK_42
61.7
NK_43
61.5
NK_44
61.4
NK_45
61.0
NK_46
60.0
NK_47
59.4
NK_48
59.4
NK_49
58.0
NK_50
57.7
NK_51
56.6
NK_52
55.0
NK_53
54.3
NK_54
52.7
NK_55
52.3
NK_56
52.0
NK_57
49.7
NK_58
49.5
NK_59
49.4
NK_60
49.0
NK_61
48.9
NK_62
48.8
NK_63
48.2
NK_64
47.5
NK_65
46.4
NK_66
45.3
NK_67
43.6
NK_68
41.8
NK_69
40.7
NK_70
39.6
NK_71
38.2
NK_72
36.7
NK_73
36.7
NK_74
36.6
NK_75
35.5
NK_76
35.5
NK_77
34.7
NK_78
34.1
NK_79
33.6
NK_80
33.4
NK_81
32.3
NK_82
30.9
NK_83
29.6
NK_84
27.7
NK_85
27.4
NK_86
26.4
NK_87
24.6
NK_88
24.5
NK_89
24.0
NK_90
18.2
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