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:
2.3
nTPM
Monaco:
1.0
nTPM
Schmiedel:
18.7
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.
2.3
HPA sample
nTPM
NK-cell nTPM: 2.4
Samples: 6
Max nTPM: 4.7
Min nTPM: 0.0
P10809_1013
2.2
P10809_1033
3.3
P10809_1052
2.0
P10809_1071
4.7
P10809_1093
0.0
P10809_1103
1.9
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.
1.0
Monaco sample
nTPM
NK-cell nTPM: 1.1
Samples: 4
Max nTPM: 3.8
Min nTPM: 0.0
RHH5316_R3683
0.2
RHH5224_R3596
3.8
RHH5253_R3625
0.2
RHH5282_R3654
0.0
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.
18.7
Schmiedel sample id
TPM
NK-cell TPM: 18.7
Samples: 90
Max TPM: 38.4
Min TPM: 10.0
NK_1
38.4
NK_2
33.8
NK_3
33.5
NK_4
32.7
NK_5
32.0
NK_6
29.7
NK_7
29.2
NK_8
28.8
NK_9
27.1
NK_10
25.8
NK_11
25.4
NK_12
25.0
NK_13
24.7
NK_14
24.5
NK_15
24.2
NK_16
24.1
NK_17
24.1
NK_18
23.4
NK_19
23.3
NK_20
23.1
NK_21
22.8
NK_22
22.6
NK_23
22.5
NK_24
22.5
NK_25
22.3
NK_26
21.3
NK_27
21.2
NK_28
21.1
NK_29
20.8
NK_30
20.5
NK_31
20.5
NK_32
20.4
NK_33
20.0
NK_34
19.6
NK_35
19.3
NK_36
19.1
NK_37
19.0
NK_38
18.9
NK_39
18.6
NK_40
18.6
NK_41
18.3
NK_42
18.1
NK_43
18.0
NK_44
17.9
NK_45
17.6
NK_46
17.6
NK_47
17.4
NK_48
16.8
NK_49
16.6
NK_50
16.4
NK_51
16.2
NK_52
15.9
NK_53
15.9
NK_54
15.7
NK_55
15.5
NK_56
15.4
NK_57
15.2
NK_58
15.1
NK_59
15.1
NK_60
15.0
NK_61
14.7
NK_62
14.6
NK_63
14.5
NK_64
14.3
NK_65
14.2
NK_66
14.2
NK_67
14.2
NK_68
14.1
NK_69
14.1
NK_70
14.0
NK_71
13.9
NK_72
13.7
NK_73
13.6
NK_74
13.5
NK_75
13.5
NK_76
13.0
NK_77
12.9
NK_78
12.4
NK_79
12.3
NK_80
12.3
NK_81
12.2
NK_82
12.1
NK_83
12.0
NK_84
11.6
NK_85
11.5
NK_86
10.9
NK_87
10.9
NK_88
10.8
NK_89
10.6
NK_90
10.0
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