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:
1.6
nTPM
Monaco:
20.6
nTPM
Schmiedel:
31.5
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.
1.6
HPA sample
nTPM
NK-cell nTPM: 1.6
Samples: 6
Max nTPM: 3.7
Min nTPM: 0.0
P10809_1013
2.6
P10809_1033
1.9
P10809_1052
3.7
P10809_1071
0.2
P10809_1093
0.0
P10809_1103
1.4
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.
20.6
Monaco sample
nTPM
NK-cell nTPM: 20.6
Samples: 4
Max nTPM: 25.2
Min nTPM: 12.4
RHH5316_R3683
25.2
RHH5224_R3596
21.6
RHH5253_R3625
23.3
RHH5282_R3654
12.4
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.
31.5
Schmiedel sample id
TPM
NK-cell TPM: 31.5
Samples: 90
Max TPM: 57.8
Min TPM: 12.3
NK_1
57.8
NK_2
53.9
NK_3
53.2
NK_4
50.6
NK_5
48.4
NK_6
47.8
NK_7
46.8
NK_8
46.5
NK_9
45.5
NK_10
44.4
NK_11
43.8
NK_12
43.7
NK_13
43.1
NK_14
41.7
NK_15
41.7
NK_16
41.6
NK_17
41.3
NK_18
40.1
NK_19
39.9
NK_20
39.6
NK_21
38.7
NK_22
38.2
NK_23
37.7
NK_24
37.5
NK_25
37.3
NK_26
36.8
NK_27
36.7
NK_28
35.4
NK_29
34.6
NK_30
34.3
NK_31
34.2
NK_32
34.0
NK_33
33.3
NK_34
33.3
NK_35
33.1
NK_36
32.9
NK_37
32.6
NK_38
32.4
NK_39
32.3
NK_40
32.3
NK_41
32.1
NK_42
31.8
NK_43
31.2
NK_44
30.9
NK_45
29.8
NK_46
29.6
NK_47
28.9
NK_48
28.8
NK_49
28.8
NK_50
28.8
NK_51
28.5
NK_52
28.4
NK_53
28.4
NK_54
28.3
NK_55
28.3
NK_56
28.2
NK_57
28.2
NK_58
28.0
NK_59
27.9
NK_60
27.7
NK_61
27.2
NK_62
27.0
NK_63
26.1
NK_64
26.1
NK_65
25.7
NK_66
25.5
NK_67
24.9
NK_68
24.7
NK_69
24.2
NK_70
23.8
NK_71
23.7
NK_72
23.0
NK_73
22.6
NK_74
21.7
NK_75
21.6
NK_76
21.1
NK_77
21.1
NK_78
21.1
NK_79
21.0
NK_80
20.0
NK_81
20.0
NK_82
19.5
NK_83
18.5
NK_84
18.1
NK_85
18.0
NK_86
18.0
NK_87
17.4
NK_88
14.7
NK_89
12.9
NK_90
12.3
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