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:
0.8
nTPM
Monaco:
3.6
nTPM
Schmiedel:
34.9
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.
0.8
HPA sample
nTPM
NK-cell nTPM: 0.8
Samples: 6
Max nTPM: 2.8
Min nTPM: 0.0
P10809_1013
1.3
P10809_1033
2.8
P10809_1052
0.9
P10809_1071
0.0
P10809_1093
0.0
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.
3.6
Monaco sample
nTPM
NK-cell nTPM: 3.7
Samples: 4
Max nTPM: 5.0
Min nTPM: 2.5
RHH5316_R3683
5.0
RHH5224_R3596
2.5
RHH5253_R3625
3.9
RHH5282_R3654
3.3
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.
34.9
Schmiedel sample id
TPM
NK-cell TPM: 34.9
Samples: 90
Max TPM: 48.4
Min TPM: 22.0
NK_1
48.4
NK_2
48.3
NK_3
45.8
NK_4
44.5
NK_5
42.7
NK_6
41.8
NK_7
40.8
NK_8
40.6
NK_9
40.5
NK_10
40.4
NK_11
40.3
NK_12
40.2
NK_13
40.2
NK_14
40.1
NK_15
40.0
NK_16
40.0
NK_17
39.8
NK_18
39.6
NK_19
39.6
NK_20
39.4
NK_21
39.4
NK_22
39.2
NK_23
38.9
NK_24
38.8
NK_25
38.8
NK_26
38.7
NK_27
38.5
NK_28
38.2
NK_29
38.0
NK_30
38.0
NK_31
37.6
NK_32
37.4
NK_33
37.2
NK_34
37.1
NK_35
36.5
NK_36
36.5
NK_37
36.4
NK_38
36.1
NK_39
36.1
NK_40
36.0
NK_41
36.0
NK_42
35.8
NK_43
35.3
NK_44
35.3
NK_45
35.3
NK_46
35.2
NK_47
35.2
NK_48
35.2
NK_49
34.9
NK_50
34.9
NK_51
34.8
NK_52
34.5
NK_53
34.0
NK_54
33.9
NK_55
33.9
NK_56
33.7
NK_57
33.6
NK_58
33.5
NK_59
33.5
NK_60
33.3
NK_61
33.1
NK_62
33.0
NK_63
32.9
NK_64
32.7
NK_65
32.1
NK_66
31.5
NK_67
31.5
NK_68
31.4
NK_69
31.2
NK_70
30.8
NK_71
30.6
NK_72
30.5
NK_73
30.4
NK_74
29.9
NK_75
29.2
NK_76
28.7
NK_77
28.5
NK_78
27.8
NK_79
26.8
NK_80
26.8
NK_81
26.7
NK_82
26.7
NK_83
25.9
NK_84
25.8
NK_85
25.7
NK_86
25.6
NK_87
25.2
NK_88
23.1
NK_89
22.9
NK_90
22.0
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