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:
7.6
nTPM
Schmiedel:
24.3
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: 17.3
Min nTPM: 0.0
P10809_1013
5.8
P10809_1033
9.8
P10809_1052
10.3
P10809_1071
17.3
P10809_1093
0.0
P10809_1103
8.2
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.
7.6
Monaco sample
nTPM
NK-cell nTPM: 7.6
Samples: 4
Max nTPM: 9.8
Min nTPM: 3.6
RHH5316_R3683
7.5
RHH5224_R3596
3.6
RHH5253_R3625
9.6
RHH5282_R3654
9.8
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.
24.3
Schmiedel sample id
TPM
NK-cell TPM: 24.3
Samples: 90
Max TPM: 40.3
Min TPM: 11.9
NK_1
40.3
NK_2
39.4
NK_3
36.8
NK_4
36.3
NK_5
36.2
NK_6
34.8
NK_7
33.7
NK_8
32.6
NK_9
32.4
NK_10
31.7
NK_11
31.6
NK_12
31.5
NK_13
30.5
NK_14
30.4
NK_15
30.4
NK_16
29.4
NK_17
29.0
NK_18
28.7
NK_19
28.7
NK_20
28.7
NK_21
28.5
NK_22
28.2
NK_23
28.0
NK_24
27.4
NK_25
27.3
NK_26
26.8
NK_27
26.7
NK_28
26.3
NK_29
26.0
NK_30
26.0
NK_31
25.9
NK_32
25.7
NK_33
25.7
NK_34
25.6
NK_35
25.2
NK_36
24.7
NK_37
24.7
NK_38
24.5
NK_39
23.9
NK_40
23.9
NK_41
23.5
NK_42
23.5
NK_43
23.5
NK_44
23.4
NK_45
23.3
NK_46
23.1
NK_47
23.1
NK_48
23.0
NK_49
22.9
NK_50
22.8
NK_51
22.8
NK_52
22.7
NK_53
22.6
NK_54
22.5
NK_55
22.4
NK_56
22.0
NK_57
21.9
NK_58
21.9
NK_59
21.7
NK_60
21.7
NK_61
21.6
NK_62
21.6
NK_63
21.5
NK_64
21.4
NK_65
21.4
NK_66
21.2
NK_67
20.8
NK_68
20.7
NK_69
20.5
NK_70
20.4
NK_71
19.8
NK_72
19.6
NK_73
19.4
NK_74
18.8
NK_75
18.6
NK_76
18.1
NK_77
18.0
NK_78
17.9
NK_79
17.7
NK_80
17.6
NK_81
17.5
NK_82
17.5
NK_83
17.5
NK_84
17.3
NK_85
16.1
NK_86
16.0
NK_87
15.8
NK_88
15.2
NK_89
14.1
NK_90
11.9
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