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:
0.2
nTPM
Monaco:
11.2
nTPM
Schmiedel:
32.8
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.
0.2
HPA sample
nTPM
NK-cell nTPM: 0.3
Samples: 6
Max nTPM: 0.5
Min nTPM: 0.0
P10809_1013
0.5
P10809_1033
0.1
P10809_1052
0.4
P10809_1071
0.0
P10809_1093
0.0
P10809_1103
0.5
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.
11.2
Monaco sample
nTPM
NK-cell nTPM: 11.2
Samples: 4
Max nTPM: 14.5
Min nTPM: 8.5
RHH5316_R3683
8.6
RHH5224_R3596
13.0
RHH5253_R3625
14.5
RHH5282_R3654
8.5
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.
32.8
Schmiedel sample id
TPM
NK-cell TPM: 32.8
Samples: 90
Max TPM: 56.6
Min TPM: 13.1
NK_1
56.6
NK_2
56.5
NK_3
56.4
NK_4
55.1
NK_5
53.5
NK_6
53.2
NK_7
51.9
NK_8
51.5
NK_9
49.4
NK_10
48.6
NK_11
48.2
NK_12
47.4
NK_13
46.9
NK_14
45.9
NK_15
45.1
NK_16
45.0
NK_17
43.1
NK_18
43.0
NK_19
41.8
NK_20
41.7
NK_21
41.4
NK_22
39.8
NK_23
39.7
NK_24
39.6
NK_25
38.9
NK_26
38.8
NK_27
37.8
NK_28
37.8
NK_29
37.4
NK_30
37.2
NK_31
36.5
NK_32
36.4
NK_33
36.4
NK_34
35.8
NK_35
35.8
NK_36
35.5
NK_37
35.5
NK_38
34.9
NK_39
33.7
NK_40
33.6
NK_41
32.9
NK_42
32.6
NK_43
32.3
NK_44
31.6
NK_45
31.5
NK_46
30.7
NK_47
30.6
NK_48
30.3
NK_49
30.3
NK_50
29.9
NK_51
29.7
NK_52
29.0
NK_53
28.5
NK_54
28.4
NK_55
28.4
NK_56
28.4
NK_57
28.2
NK_58
27.8
NK_59
27.5
NK_60
26.9
NK_61
26.8
NK_62
26.6
NK_63
25.8
NK_64
25.7
NK_65
25.2
NK_66
25.2
NK_67
25.0
NK_68
24.5
NK_69
24.5
NK_70
24.0
NK_71
23.7
NK_72
23.5
NK_73
23.0
NK_74
22.6
NK_75
22.3
NK_76
22.0
NK_77
21.4
NK_78
21.2
NK_79
20.7
NK_80
20.4
NK_81
19.7
NK_82
19.0
NK_83
17.5
NK_84
16.8
NK_85
16.2
NK_86
15.9
NK_87
15.4
NK_88
13.9
NK_89
13.5
NK_90
13.1
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