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:
12.2
nTPM
Monaco:
69.5
nTPM
Schmiedel:
31.6
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.
12.2
HPA sample
nTPM
NK-cell nTPM: 12.2
Samples: 6
Max nTPM: 15.3
Min nTPM: 9.9
P10809_1013
13.9
P10809_1033
12.9
P10809_1052
9.9
P10809_1071
11.3
P10809_1093
10.0
P10809_1103
15.3
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.
69.5
Monaco sample
nTPM
NK-cell nTPM: 69.5
Samples: 4
Max nTPM: 74.8
Min nTPM: 60.0
RHH5316_R3683
74.8
RHH5224_R3596
73.7
RHH5253_R3625
69.4
RHH5282_R3654
60.0
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.
31.6
Schmiedel sample id
TPM
NK-cell TPM: 31.6
Samples: 90
Max TPM: 51.7
Min TPM: 17.3
NK_1
51.7
NK_2
50.8
NK_3
49.4
NK_4
48.0
NK_5
46.6
NK_6
45.7
NK_7
44.8
NK_8
44.7
NK_9
43.1
NK_10
43.1
NK_11
42.0
NK_12
41.5
NK_13
40.6
NK_14
40.0
NK_15
39.3
NK_16
38.4
NK_17
38.1
NK_18
38.0
NK_19
37.3
NK_20
37.2
NK_21
36.6
NK_22
36.5
NK_23
36.5
NK_24
35.5
NK_25
35.4
NK_26
34.8
NK_27
34.5
NK_28
34.3
NK_29
34.1
NK_30
34.0
NK_31
33.7
NK_32
33.4
NK_33
33.2
NK_34
33.1
NK_35
32.9
NK_36
32.8
NK_37
32.0
NK_38
32.0
NK_39
31.7
NK_40
31.7
NK_41
31.4
NK_42
31.2
NK_43
31.1
NK_44
31.0
NK_45
30.7
NK_46
30.7
NK_47
30.6
NK_48
30.1
NK_49
30.0
NK_50
29.9
NK_51
29.7
NK_52
29.7
NK_53
29.7
NK_54
29.7
NK_55
29.5
NK_56
29.0
NK_57
28.6
NK_58
28.6
NK_59
28.6
NK_60
28.5
NK_61
28.4
NK_62
27.9
NK_63
27.8
NK_64
27.8
NK_65
26.5
NK_66
26.3
NK_67
25.7
NK_68
25.6
NK_69
25.4
NK_70
25.4
NK_71
25.3
NK_72
24.3
NK_73
24.2
NK_74
24.0
NK_75
23.8
NK_76
23.4
NK_77
22.7
NK_78
22.6
NK_79
22.1
NK_80
22.0
NK_81
21.5
NK_82
21.5
NK_83
21.0
NK_84
20.9
NK_85
20.5
NK_86
20.5
NK_87
20.2
NK_88
19.7
NK_89
19.7
NK_90
17.3
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