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:
2.8
nTPM
Monaco:
21.8
nTPM
Schmiedel:
74.8
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.
2.8
HPA sample
nTPM
NK-cell nTPM: 2.8
Samples: 6
Max nTPM: 4.2
Min nTPM: 1.8
P10809_1013
3.6
P10809_1033
2.1
P10809_1052
3.2
P10809_1071
4.2
P10809_1093
1.8
P10809_1103
2.0
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.
21.8
Monaco sample
nTPM
NK-cell nTPM: 21.8
Samples: 4
Max nTPM: 24.7
Min nTPM: 20.1
RHH5316_R3683
20.1
RHH5224_R3596
20.2
RHH5253_R3625
22.1
RHH5282_R3654
24.7
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.
74.8
Schmiedel sample id
TPM
NK-cell TPM: 74.8
Samples: 90
Max TPM: 114.7
Min TPM: 34.2
NK_1
114.7
NK_2
111.5
NK_3
107.1
NK_4
106.7
NK_5
105.7
NK_6
104.4
NK_7
102.9
NK_8
95.1
NK_9
95.1
NK_10
91.0
NK_11
89.4
NK_12
88.1
NK_13
87.8
NK_14
86.3
NK_15
85.7
NK_16
85.0
NK_17
84.8
NK_18
84.5
NK_19
83.3
NK_20
82.6
NK_21
81.0
NK_22
81.0
NK_23
79.4
NK_24
79.2
NK_25
79.0
NK_26
78.7
NK_27
77.9
NK_28
77.7
NK_29
77.3
NK_30
77.0
NK_31
76.5
NK_32
76.2
NK_33
75.9
NK_34
75.9
NK_35
75.7
NK_36
75.5
NK_37
75.2
NK_38
75.2
NK_39
74.8
NK_40
74.5
NK_41
74.3
NK_42
74.0
NK_43
73.6
NK_44
73.4
NK_45
72.4
NK_46
72.2
NK_47
72.0
NK_48
71.3
NK_49
71.0
NK_50
70.8
NK_51
70.5
NK_52
69.8
NK_53
69.7
NK_54
69.5
NK_55
69.5
NK_56
69.4
NK_57
69.4
NK_58
69.4
NK_59
69.3
NK_60
69.2
NK_61
68.8
NK_62
68.6
NK_63
68.4
NK_64
67.5
NK_65
67.1
NK_66
66.7
NK_67
66.1
NK_68
66.0
NK_69
65.8
NK_70
65.7
NK_71
65.5
NK_72
65.3
NK_73
64.7
NK_74
64.4
NK_75
64.1
NK_76
63.8
NK_77
62.5
NK_78
62.4
NK_79
62.2
NK_80
61.9
NK_81
61.0
NK_82
61.0
NK_83
60.8
NK_84
59.9
NK_85
59.6
NK_86
59.4
NK_87
59.0
NK_88
58.3
NK_89
55.6
NK_90
34.2
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