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:
3.0
nTPM
Monaco:
18.2
nTPM
Schmiedel:
31.4
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.
3.0
HPA sample
nTPM
NK-cell nTPM: 3.1
Samples: 6
Max nTPM: 6.3
Min nTPM: 1.6
P10809_1013
2.8
P10809_1033
2.9
P10809_1052
2.1
P10809_1071
2.7
P10809_1093
1.6
P10809_1103
6.3
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.
18.2
Monaco sample
nTPM
NK-cell nTPM: 18.2
Samples: 4
Max nTPM: 19.9
Min nTPM: 15.0
RHH5316_R3683
19.9
RHH5224_R3596
19.6
RHH5253_R3625
15.0
RHH5282_R3654
18.4
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.
31.4
Schmiedel sample id
TPM
NK-cell TPM: 31.4
Samples: 90
Max TPM: 47.7
Min TPM: 19.1
NK_1
47.7
NK_2
37.4
NK_3
36.9
NK_4
36.4
NK_5
36.2
NK_6
35.7
NK_7
35.5
NK_8
35.3
NK_9
35.2
NK_10
34.9
NK_11
34.8
NK_12
34.7
NK_13
34.5
NK_14
34.4
NK_15
34.4
NK_16
34.2
NK_17
34.1
NK_18
33.9
NK_19
33.7
NK_20
33.6
NK_21
33.6
NK_22
33.6
NK_23
33.5
NK_24
33.3
NK_25
33.1
NK_26
33.0
NK_27
33.0
NK_28
32.9
NK_29
32.8
NK_30
32.5
NK_31
32.5
NK_32
32.5
NK_33
32.5
NK_34
32.4
NK_35
32.4
NK_36
32.1
NK_37
32.0
NK_38
31.9
NK_39
31.9
NK_40
31.9
NK_41
31.9
NK_42
31.9
NK_43
31.6
NK_44
31.5
NK_45
31.5
NK_46
31.4
NK_47
31.2
NK_48
31.1
NK_49
31.0
NK_50
31.0
NK_51
31.0
NK_52
30.8
NK_53
30.8
NK_54
30.7
NK_55
30.7
NK_56
30.6
NK_57
30.5
NK_58
30.3
NK_59
30.3
NK_60
30.1
NK_61
30.1
NK_62
29.9
NK_63
29.9
NK_64
29.9
NK_65
29.8
NK_66
29.7
NK_67
29.7
NK_68
29.6
NK_69
29.4
NK_70
29.4
NK_71
29.2
NK_72
29.0
NK_73
28.9
NK_74
28.9
NK_75
28.8
NK_76
28.5
NK_77
28.5
NK_78
28.3
NK_79
28.1
NK_80
27.7
NK_81
27.6
NK_82
27.4
NK_83
27.4
NK_84
27.3
NK_85
27.1
NK_86
27.0
NK_87
26.9
NK_88
25.6
NK_89
24.6
NK_90
19.1
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