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:
0.3
nTPM
Monaco:
11.6
nTPM
Schmiedel:
41.8
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.
0.3
HPA sample
nTPM
NK-cell nTPM: 0.3
Samples: 6
Max nTPM: 0.8
Min nTPM: 0.0
P10809_1013
0.5
P10809_1033
0.0
P10809_1052
0.0
P10809_1071
0.8
P10809_1093
0.0
P10809_1103
0.6
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.
11.6
Monaco sample
nTPM
NK-cell nTPM: 11.6
Samples: 4
Max nTPM: 14.9
Min nTPM: 8.2
RHH5316_R3683
14.9
RHH5224_R3596
14.9
RHH5253_R3625
8.4
RHH5282_R3654
8.2
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.
41.8
Schmiedel sample id
TPM
NK-cell TPM: 41.8
Samples: 90
Max TPM: 74.9
Min TPM: 23.3
NK_1
74.9
NK_2
65.2
NK_3
64.5
NK_4
61.7
NK_5
59.7
NK_6
59.3
NK_7
58.9
NK_8
57.7
NK_9
57.3
NK_10
56.8
NK_11
56.8
NK_12
55.6
NK_13
55.1
NK_14
52.9
NK_15
51.7
NK_16
51.3
NK_17
50.9
NK_18
50.5
NK_19
49.9
NK_20
49.5
NK_21
49.5
NK_22
49.5
NK_23
47.8
NK_24
47.7
NK_25
47.5
NK_26
47.3
NK_27
47.2
NK_28
47.0
NK_29
46.1
NK_30
45.8
NK_31
45.3
NK_32
45.2
NK_33
45.2
NK_34
45.1
NK_35
44.4
NK_36
44.0
NK_37
44.0
NK_38
43.6
NK_39
43.3
NK_40
43.2
NK_41
43.0
NK_42
41.3
NK_43
40.8
NK_44
40.6
NK_45
40.5
NK_46
40.4
NK_47
39.9
NK_48
39.5
NK_49
39.5
NK_50
39.4
NK_51
39.0
NK_52
38.9
NK_53
38.9
NK_54
38.8
NK_55
38.6
NK_56
38.3
NK_57
38.1
NK_58
36.8
NK_59
36.8
NK_60
36.7
NK_61
36.1
NK_62
35.4
NK_63
35.1
NK_64
34.9
NK_65
34.4
NK_66
33.9
NK_67
33.9
NK_68
33.0
NK_69
32.7
NK_70
32.4
NK_71
32.0
NK_72
31.5
NK_73
31.2
NK_74
31.0
NK_75
31.0
NK_76
30.9
NK_77
30.9
NK_78
30.2
NK_79
30.0
NK_80
29.9
NK_81
29.3
NK_82
29.1
NK_83
27.7
NK_84
27.3
NK_85
26.8
NK_86
25.7
NK_87
25.5
NK_88
25.4
NK_89
24.9
NK_90
23.3
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