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:
8.5
nTPM
Monaco:
19.9
nTPM
Schmiedel:
24.4
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.
8.5
HPA sample
nTPM
NK-cell nTPM: 8.5
Samples: 6
Max nTPM: 12.1
Min nTPM: 2.6
P10809_1013
12.1
P10809_1033
8.2
P10809_1052
9.5
P10809_1071
7.6
P10809_1093
2.6
P10809_1103
10.9
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.
19.9
Monaco sample
nTPM
NK-cell nTPM: 19.9
Samples: 4
Max nTPM: 27.4
Min nTPM: 14.2
RHH5316_R3683
21.2
RHH5224_R3596
16.9
RHH5253_R3625
27.4
RHH5282_R3654
14.2
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.
24.4
Schmiedel sample id
TPM
NK-cell TPM: 24.4
Samples: 90
Max TPM: 58.9
Min TPM: 8.2
NK_1
58.9
NK_2
53.4
NK_3
50.5
NK_4
49.3
NK_5
46.9
NK_6
45.3
NK_7
45.1
NK_8
44.5
NK_9
41.7
NK_10
41.6
NK_11
40.6
NK_12
38.1
NK_13
37.7
NK_14
36.9
NK_15
36.0
NK_16
33.6
NK_17
33.2
NK_18
33.1
NK_19
33.0
NK_20
31.7
NK_21
30.8
NK_22
29.2
NK_23
29.2
NK_24
29.2
NK_25
28.3
NK_26
28.0
NK_27
27.4
NK_28
27.2
NK_29
27.2
NK_30
26.8
NK_31
26.7
NK_32
26.5
NK_33
26.1
NK_34
26.1
NK_35
25.8
NK_36
25.5
NK_37
25.1
NK_38
24.9
NK_39
24.9
NK_40
24.7
NK_41
24.6
NK_42
23.2
NK_43
23.2
NK_44
22.9
NK_45
21.7
NK_46
21.7
NK_47
21.2
NK_48
20.7
NK_49
20.5
NK_50
20.5
NK_51
20.5
NK_52
20.3
NK_53
19.8
NK_54
18.8
NK_55
18.8
NK_56
18.8
NK_57
18.7
NK_58
18.5
NK_59
18.4
NK_60
18.3
NK_61
18.1
NK_62
17.7
NK_63
17.6
NK_64
17.4
NK_65
17.2
NK_66
16.7
NK_67
16.7
NK_68
15.7
NK_69
15.6
NK_70
15.5
NK_71
15.5
NK_72
15.5
NK_73
15.4
NK_74
15.1
NK_75
14.3
NK_76
14.0
NK_77
14.0
NK_78
14.0
NK_79
13.8
NK_80
12.4
NK_81
12.2
NK_82
12.1
NK_83
12.0
NK_84
11.9
NK_85
10.6
NK_86
10.4
NK_87
10.0
NK_88
9.1
NK_89
8.6
NK_90
8.2
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