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:
7.6
nTPM
Monaco:
31.1
nTPM
Schmiedel:
30.4
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.
7.6
HPA sample
nTPM
NK-cell nTPM: 7.6
Samples: 6
Max nTPM: 14.3
Min nTPM: 0.0
P10809_1013
9.3
P10809_1033
10.0
P10809_1052
5.4
P10809_1071
14.3
P10809_1093
0.0
P10809_1103
6.8
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.
31.1
Monaco sample
nTPM
NK-cell nTPM: 31.1
Samples: 4
Max nTPM: 36.2
Min nTPM: 28.1
RHH5316_R3683
28.2
RHH5224_R3596
36.2
RHH5253_R3625
28.1
RHH5282_R3654
31.9
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.
30.4
Schmiedel sample id
TPM
NK-cell TPM: 30.4
Samples: 90
Max TPM: 63.8
Min TPM: 15.0
NK_1
63.8
NK_2
50.6
NK_3
48.7
NK_4
48.3
NK_5
46.8
NK_6
46.7
NK_7
45.7
NK_8
43.7
NK_9
43.2
NK_10
42.4
NK_11
42.1
NK_12
41.5
NK_13
40.6
NK_14
40.4
NK_15
38.7
NK_16
38.1
NK_17
38.0
NK_18
37.0
NK_19
36.3
NK_20
35.9
NK_21
35.4
NK_22
34.8
NK_23
34.7
NK_24
34.5
NK_25
34.0
NK_26
33.7
NK_27
33.7
NK_28
33.7
NK_29
33.6
NK_30
32.8
NK_31
32.7
NK_32
32.4
NK_33
32.4
NK_34
32.0
NK_35
31.3
NK_36
31.2
NK_37
31.2
NK_38
31.1
NK_39
31.0
NK_40
30.9
NK_41
30.8
NK_42
30.4
NK_43
30.4
NK_44
30.2
NK_45
29.9
NK_46
29.8
NK_47
28.6
NK_48
28.5
NK_49
28.3
NK_50
28.2
NK_51
28.0
NK_52
27.8
NK_53
27.7
NK_54
27.0
NK_55
26.8
NK_56
25.8
NK_57
25.6
NK_58
25.5
NK_59
25.4
NK_60
25.4
NK_61
25.2
NK_62
25.2
NK_63
25.0
NK_64
24.7
NK_65
24.3
NK_66
24.2
NK_67
24.1
NK_68
23.7
NK_69
22.9
NK_70
22.8
NK_71
22.6
NK_72
22.5
NK_73
22.4
NK_74
22.3
NK_75
22.3
NK_76
22.3
NK_77
22.2
NK_78
21.8
NK_79
21.3
NK_80
21.1
NK_81
20.9
NK_82
20.2
NK_83
20.0
NK_84
19.9
NK_85
19.5
NK_86
19.4
NK_87
19.3
NK_88
18.3
NK_89
17.9
NK_90
15.0
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