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:
70.4
nTPM
Monaco:
8.5
nTPM
Schmiedel:
9.9
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.
70.4
HPA sample
nTPM
NK-cell nTPM: 70.4
Samples: 6
Max nTPM: 111.3
Min nTPM: 17.8
P10809_1013
59.7
P10809_1033
59.6
P10809_1052
74.3
P10809_1071
17.8
P10809_1093
111.3
P10809_1103
99.4
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.
8.5
Monaco sample
nTPM
NK-cell nTPM: 8.5
Samples: 4
Max nTPM: 14.2
Min nTPM: 2.7
RHH5316_R3683
14.2
RHH5224_R3596
12.9
RHH5253_R3625
2.7
RHH5282_R3654
4.1
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.
9.9
Schmiedel sample id
TPM
NK-cell TPM: 9.9
Samples: 90
Max TPM: 52.3
Min TPM: 0.3
NK_1
52.3
NK_2
37.5
NK_3
37.0
NK_4
32.7
NK_5
24.3
NK_6
23.6
NK_7
22.5
NK_8
20.6
NK_9
20.1
NK_10
19.5
NK_11
19.5
NK_12
19.0
NK_13
18.3
NK_14
18.1
NK_15
17.9
NK_16
16.1
NK_17
15.8
NK_18
15.5
NK_19
14.2
NK_20
14.2
NK_21
13.9
NK_22
13.4
NK_23
12.5
NK_24
11.8
NK_25
11.2
NK_26
11.0
NK_27
10.9
NK_28
10.9
NK_29
10.6
NK_30
10.6
NK_31
10.1
NK_32
9.5
NK_33
9.5
NK_34
9.1
NK_35
8.8
NK_36
8.4
NK_37
8.3
NK_38
8.2
NK_39
7.9
NK_40
7.9
NK_41
7.8
NK_42
7.7
NK_43
7.5
NK_44
7.5
NK_45
7.4
NK_46
7.3
NK_47
7.3
NK_48
6.8
NK_49
6.8
NK_50
6.5
NK_51
6.2
NK_52
6.2
NK_53
6.2
NK_54
6.0
NK_55
6.0
NK_56
5.9
NK_57
5.8
NK_58
5.7
NK_59
5.6
NK_60
5.6
NK_61
5.5
NK_62
5.2
NK_63
5.2
NK_64
5.1
NK_65
4.8
NK_66
4.7
NK_67
4.6
NK_68
4.6
NK_69
4.5
NK_70
4.2
NK_71
4.1
NK_72
3.9
NK_73
3.6
NK_74
3.3
NK_75
3.3
NK_76
3.2
NK_77
3.0
NK_78
2.9
NK_79
2.9
NK_80
2.6
NK_81
2.2
NK_82
2.1
NK_83
2.0
NK_84
1.7
NK_85
1.4
NK_86
1.3
NK_87
1.3
NK_88
1.3
NK_89
0.4
NK_90
0.3
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