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:
2.3
nTPM
Monaco:
12.4
nTPM
Schmiedel:
41.5
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.
2.3
HPA sample
nTPM
NK-cell nTPM: 2.3
Samples: 6
Max nTPM: 4.8
Min nTPM: 0.0
P10809_1013
1.6
P10809_1033
2.7
P10809_1052
4.8
P10809_1071
1.3
P10809_1093
0.0
P10809_1103
3.4
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.
12.4
Monaco sample
nTPM
NK-cell nTPM: 12.4
Samples: 4
Max nTPM: 24.3
Min nTPM: 6.9
RHH5316_R3683
10.3
RHH5224_R3596
6.9
RHH5253_R3625
24.3
RHH5282_R3654
7.9
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.
41.5
Schmiedel sample id
TPM
NK-cell TPM: 41.5
Samples: 90
Max TPM: 59.6
Min TPM: 23.5
NK_1
59.6
NK_2
58.9
NK_3
56.1
NK_4
55.7
NK_5
54.1
NK_6
53.7
NK_7
52.7
NK_8
51.6
NK_9
51.6
NK_10
51.4
NK_11
51.4
NK_12
51.1
NK_13
50.4
NK_14
49.7
NK_15
49.6
NK_16
47.7
NK_17
47.6
NK_18
47.5
NK_19
47.4
NK_20
47.2
NK_21
46.9
NK_22
46.7
NK_23
46.5
NK_24
45.7
NK_25
45.6
NK_26
45.6
NK_27
45.1
NK_28
44.8
NK_29
44.8
NK_30
44.5
NK_31
44.2
NK_32
44.2
NK_33
44.2
NK_34
43.9
NK_35
43.9
NK_36
43.9
NK_37
43.6
NK_38
43.5
NK_39
43.2
NK_40
43.0
NK_41
42.8
NK_42
42.6
NK_43
42.0
NK_44
41.5
NK_45
41.0
NK_46
40.8
NK_47
40.5
NK_48
40.3
NK_49
40.2
NK_50
40.1
NK_51
40.1
NK_52
40.0
NK_53
40.0
NK_54
39.8
NK_55
39.5
NK_56
38.8
NK_57
38.7
NK_58
38.7
NK_59
37.8
NK_60
37.8
NK_61
37.2
NK_62
37.2
NK_63
37.0
NK_64
36.9
NK_65
36.6
NK_66
36.4
NK_67
36.0
NK_68
35.8
NK_69
35.7
NK_70
35.7
NK_71
35.4
NK_72
35.2
NK_73
35.0
NK_74
34.7
NK_75
34.3
NK_76
34.1
NK_77
34.0
NK_78
33.5
NK_79
33.4
NK_80
33.4
NK_81
32.3
NK_82
31.7
NK_83
31.2
NK_84
31.2
NK_85
30.7
NK_86
29.5
NK_87
28.6
NK_88
28.1
NK_89
27.7
NK_90
23.5
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