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:
2.8
nTPM
Monaco:
14.9
nTPM
Schmiedel:
28.4
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.
2.8
HPA sample
nTPM
NK-cell nTPM: 2.8
Samples: 6
Max nTPM: 5.3
Min nTPM: 0.0
P10809_1013
2.1
P10809_1033
3.4
P10809_1052
4.0
P10809_1071
2.2
P10809_1093
0.0
P10809_1103
5.3
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.
14.9
Monaco sample
nTPM
NK-cell nTPM: 14.9
Samples: 4
Max nTPM: 18.0
Min nTPM: 6.9
RHH5316_R3683
17.1
RHH5224_R3596
18.0
RHH5253_R3625
17.5
RHH5282_R3654
6.9
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.
28.4
Schmiedel sample id
TPM
NK-cell TPM: 28.4
Samples: 90
Max TPM: 54.3
Min TPM: 11.4
NK_1
54.3
NK_2
52.6
NK_3
52.1
NK_4
51.5
NK_5
49.1
NK_6
48.3
NK_7
48.0
NK_8
46.7
NK_9
46.2
NK_10
45.4
NK_11
45.1
NK_12
44.3
NK_13
43.0
NK_14
40.4
NK_15
40.3
NK_16
40.2
NK_17
37.9
NK_18
37.2
NK_19
36.5
NK_20
36.1
NK_21
35.9
NK_22
35.7
NK_23
34.9
NK_24
34.8
NK_25
33.5
NK_26
32.9
NK_27
32.9
NK_28
32.5
NK_29
32.2
NK_30
31.4
NK_31
30.8
NK_32
30.7
NK_33
30.5
NK_34
29.9
NK_35
29.6
NK_36
29.5
NK_37
29.1
NK_38
29.0
NK_39
28.9
NK_40
28.7
NK_41
28.6
NK_42
28.2
NK_43
27.7
NK_44
27.6
NK_45
27.0
NK_46
26.7
NK_47
26.5
NK_48
25.7
NK_49
25.6
NK_50
25.5
NK_51
25.5
NK_52
25.5
NK_53
25.1
NK_54
24.7
NK_55
24.5
NK_56
23.5
NK_57
23.1
NK_58
23.1
NK_59
22.9
NK_60
22.8
NK_61
22.8
NK_62
22.6
NK_63
22.4
NK_64
22.4
NK_65
21.5
NK_66
21.1
NK_67
20.9
NK_68
20.4
NK_69
19.6
NK_70
18.6
NK_71
18.0
NK_72
17.9
NK_73
17.3
NK_74
17.2
NK_75
17.1
NK_76
17.1
NK_77
17.0
NK_78
16.5
NK_79
16.5
NK_80
16.3
NK_81
15.3
NK_82
15.2
NK_83
15.1
NK_84
15.1
NK_85
14.7
NK_86
13.5
NK_87
13.0
NK_88
12.9
NK_89
12.3
NK_90
11.4
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