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:
1.7
nTPM
Monaco:
4.6
nTPM
Schmiedel:
20.3
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.
1.7
HPA sample
nTPM
NK-cell nTPM: 1.7
Samples: 6
Max nTPM: 8.6
Min nTPM: 0.0
P10809_1013
0.4
P10809_1033
0.5
P10809_1052
0.1
P10809_1071
0.7
P10809_1093
8.6
P10809_1103
0.0
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.
4.6
Monaco sample
nTPM
NK-cell nTPM: 4.6
Samples: 4
Max nTPM: 5.4
Min nTPM: 3.2
RHH5316_R3683
3.2
RHH5224_R3596
5.4
RHH5253_R3625
5.2
RHH5282_R3654
4.5
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.
20.3
Schmiedel sample id
TPM
NK-cell TPM: 20.3
Samples: 90
Max TPM: 37.7
Min TPM: 10.9
NK_1
37.7
NK_2
30.5
NK_3
30.0
NK_4
29.9
NK_5
26.5
NK_6
26.0
NK_7
25.9
NK_8
25.8
NK_9
25.6
NK_10
25.5
NK_11
24.9
NK_12
24.6
NK_13
24.5
NK_14
24.5
NK_15
24.0
NK_16
24.0
NK_17
23.9
NK_18
23.9
NK_19
23.3
NK_20
23.3
NK_21
23.1
NK_22
23.1
NK_23
22.9
NK_24
22.7
NK_25
22.7
NK_26
22.6
NK_27
22.2
NK_28
22.0
NK_29
21.9
NK_30
21.6
NK_31
21.5
NK_32
21.3
NK_33
21.3
NK_34
21.2
NK_35
21.2
NK_36
21.1
NK_37
21.1
NK_38
21.1
NK_39
21.0
NK_40
20.7
NK_41
20.5
NK_42
20.4
NK_43
20.0
NK_44
19.9
NK_45
19.7
NK_46
19.5
NK_47
19.5
NK_48
19.5
NK_49
19.4
NK_50
19.3
NK_51
19.2
NK_52
19.1
NK_53
19.1
NK_54
19.0
NK_55
18.8
NK_56
18.8
NK_57
18.6
NK_58
18.4
NK_59
18.3
NK_60
18.1
NK_61
18.0
NK_62
18.0
NK_63
17.9
NK_64
17.8
NK_65
17.8
NK_66
17.8
NK_67
17.5
NK_68
17.4
NK_69
17.4
NK_70
17.4
NK_71
17.0
NK_72
16.9
NK_73
16.6
NK_74
16.4
NK_75
16.3
NK_76
16.0
NK_77
15.9
NK_78
15.8
NK_79
15.3
NK_80
15.1
NK_81
15.1
NK_82
15.0
NK_83
15.0
NK_84
14.6
NK_85
14.6
NK_86
14.3
NK_87
14.0
NK_88
13.9
NK_89
13.9
NK_90
10.9
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