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:
0.4
nTPM
Monaco:
3.9
nTPM
Schmiedel:
47.1
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.
0.4
HPA sample
nTPM
NK-cell nTPM: 0.4
Samples: 6
Max nTPM: 1.3
Min nTPM: 0.0
P10809_1013
0.4
P10809_1033
0.6
P10809_1052
0.0
P10809_1071
0.0
P10809_1093
1.3
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.
3.9
Monaco sample
nTPM
NK-cell nTPM: 3.9
Samples: 4
Max nTPM: 5.2
Min nTPM: 2.5
RHH5316_R3683
5.2
RHH5224_R3596
3.5
RHH5253_R3625
4.5
RHH5282_R3654
2.5
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.
47.1
Schmiedel sample id
TPM
NK-cell TPM: 47.1
Samples: 90
Max TPM: 64.9
Min TPM: 31.1
NK_1
64.9
NK_2
59.3
NK_3
57.0
NK_4
56.3
NK_5
55.8
NK_6
55.5
NK_7
55.4
NK_8
55.2
NK_9
54.7
NK_10
54.2
NK_11
53.8
NK_12
53.6
NK_13
53.2
NK_14
52.7
NK_15
52.4
NK_16
52.3
NK_17
52.2
NK_18
51.7
NK_19
51.3
NK_20
51.2
NK_21
51.2
NK_22
51.2
NK_23
50.6
NK_24
50.6
NK_25
50.6
NK_26
50.4
NK_27
50.2
NK_28
50.1
NK_29
50.1
NK_30
50.0
NK_31
50.0
NK_32
49.8
NK_33
49.8
NK_34
49.8
NK_35
49.5
NK_36
49.4
NK_37
49.3
NK_38
49.1
NK_39
48.8
NK_40
48.5
NK_41
48.3
NK_42
48.3
NK_43
48.2
NK_44
48.0
NK_45
47.9
NK_46
47.8
NK_47
47.7
NK_48
47.6
NK_49
47.1
NK_50
47.1
NK_51
46.9
NK_52
46.8
NK_53
46.8
NK_54
46.4
NK_55
45.8
NK_56
45.8
NK_57
45.7
NK_58
45.6
NK_59
45.6
NK_60
45.4
NK_61
45.3
NK_62
45.1
NK_63
44.7
NK_64
44.6
NK_65
44.6
NK_66
44.6
NK_67
44.4
NK_68
43.4
NK_69
43.0
NK_70
42.8
NK_71
42.6
NK_72
42.6
NK_73
42.4
NK_74
42.0
NK_75
42.0
NK_76
41.9
NK_77
40.7
NK_78
39.9
NK_79
39.5
NK_80
39.3
NK_81
39.2
NK_82
38.8
NK_83
37.4
NK_84
37.1
NK_85
36.9
NK_86
36.3
NK_87
34.2
NK_88
33.4
NK_89
31.2
NK_90
31.1
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