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:
8.6
nTPM
Monaco:
66.1
nTPM
Schmiedel:
35.4
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.
8.6
HPA sample
nTPM
NK-cell nTPM: 8.6
Samples: 6
Max nTPM: 17.0
Min nTPM: 3.7
P10809_1013
8.3
P10809_1033
14.4
P10809_1052
4.6
P10809_1071
3.7
P10809_1093
17.0
P10809_1103
3.7
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.
66.1
Monaco sample
nTPM
NK-cell nTPM: 66.1
Samples: 4
Max nTPM: 81.4
Min nTPM: 47.2
RHH5316_R3683
77.5
RHH5224_R3596
81.4
RHH5253_R3625
58.3
RHH5282_R3654
47.2
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.
35.4
Schmiedel sample id
TPM
NK-cell TPM: 35.4
Samples: 90
Max TPM: 46.6
Min TPM: 24.4
NK_1
46.6
NK_2
43.3
NK_3
42.9
NK_4
42.2
NK_5
42.1
NK_6
42.0
NK_7
41.8
NK_8
41.3
NK_9
40.4
NK_10
40.3
NK_11
39.9
NK_12
39.7
NK_13
39.6
NK_14
39.3
NK_15
39.0
NK_16
38.8
NK_17
38.7
NK_18
38.7
NK_19
38.6
NK_20
38.1
NK_21
38.0
NK_22
37.7
NK_23
37.2
NK_24
37.1
NK_25
37.0
NK_26
37.0
NK_27
36.9
NK_28
36.9
NK_29
36.9
NK_30
36.6
NK_31
36.6
NK_32
36.4
NK_33
36.3
NK_34
36.2
NK_35
36.0
NK_36
36.0
NK_37
35.9
NK_38
35.8
NK_39
35.7
NK_40
35.7
NK_41
35.5
NK_42
35.4
NK_43
35.2
NK_44
35.2
NK_45
35.0
NK_46
34.9
NK_47
34.9
NK_48
34.9
NK_49
34.9
NK_50
34.8
NK_51
34.8
NK_52
34.8
NK_53
34.6
NK_54
34.6
NK_55
34.6
NK_56
34.5
NK_57
34.4
NK_58
34.4
NK_59
34.3
NK_60
34.2
NK_61
33.9
NK_62
33.9
NK_63
33.7
NK_64
33.6
NK_65
33.5
NK_66
33.5
NK_67
33.4
NK_68
33.3
NK_69
32.9
NK_70
32.8
NK_71
32.8
NK_72
32.3
NK_73
32.3
NK_74
32.2
NK_75
32.0
NK_76
31.9
NK_77
31.7
NK_78
31.7
NK_79
31.7
NK_80
31.7
NK_81
31.4
NK_82
31.2
NK_83
31.1
NK_84
30.7
NK_85
30.6
NK_86
30.1
NK_87
29.5
NK_88
28.1
NK_89
25.9
NK_90
24.4
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