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:
1.8
nTPM
Monaco:
8.4
nTPM
Schmiedel:
35.2
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.
1.8
HPA sample
nTPM
NK-cell nTPM: 1.8
Samples: 6
Max nTPM: 3.3
Min nTPM: 0.9
P10809_1013
1.0
P10809_1033
0.9
P10809_1052
3.3
P10809_1071
1.6
P10809_1093
2.4
P10809_1103
1.3
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.
8.4
Monaco sample
nTPM
NK-cell nTPM: 8.4
Samples: 4
Max nTPM: 12.4
Min nTPM: 4.6
RHH5316_R3683
12.4
RHH5224_R3596
4.6
RHH5253_R3625
11.7
RHH5282_R3654
4.7
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.
35.2
Schmiedel sample id
TPM
NK-cell TPM: 35.2
Samples: 90
Max TPM: 52.2
Min TPM: 19.6
NK_1
52.2
NK_2
51.8
NK_3
51.0
NK_4
50.9
NK_5
50.6
NK_6
50.2
NK_7
48.8
NK_8
48.5
NK_9
48.1
NK_10
48.0
NK_11
47.5
NK_12
47.1
NK_13
45.7
NK_14
44.8
NK_15
44.3
NK_16
44.3
NK_17
43.5
NK_18
43.5
NK_19
42.4
NK_20
42.1
NK_21
41.8
NK_22
41.7
NK_23
41.6
NK_24
41.5
NK_25
40.1
NK_26
39.8
NK_27
39.8
NK_28
39.7
NK_29
39.3
NK_30
38.2
NK_31
37.6
NK_32
37.1
NK_33
37.1
NK_34
36.7
NK_35
36.6
NK_36
36.5
NK_37
36.4
NK_38
35.8
NK_39
35.7
NK_40
35.7
NK_41
35.5
NK_42
34.9
NK_43
34.7
NK_44
34.7
NK_45
34.6
NK_46
34.3
NK_47
33.3
NK_48
33.2
NK_49
33.2
NK_50
32.8
NK_51
32.6
NK_52
32.6
NK_53
32.6
NK_54
32.5
NK_55
32.2
NK_56
32.0
NK_57
31.6
NK_58
31.0
NK_59
30.9
NK_60
30.8
NK_61
30.4
NK_62
30.3
NK_63
30.0
NK_64
29.4
NK_65
29.4
NK_66
29.3
NK_67
29.0
NK_68
28.7
NK_69
28.6
NK_70
28.6
NK_71
28.5
NK_72
28.4
NK_73
27.9
NK_74
27.6
NK_75
27.5
NK_76
26.6
NK_77
26.5
NK_78
26.5
NK_79
26.0
NK_80
25.8
NK_81
25.1
NK_82
24.9
NK_83
24.3
NK_84
24.1
NK_85
22.5
NK_86
22.3
NK_87
22.3
NK_88
21.7
NK_89
19.9
NK_90
19.6
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