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:
13.0
nTPM
Schmiedel:
83.8
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.
1.8
HPA sample
nTPM
NK-cell nTPM: 1.8
Samples: 6
Max nTPM: 4.2
Min nTPM: 0.0
P10809_1013
1.6
P10809_1033
4.2
P10809_1052
2.1
P10809_1071
1.9
P10809_1093
0.0
P10809_1103
0.7
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.
13.0
Monaco sample
nTPM
NK-cell nTPM: 13.0
Samples: 4
Max nTPM: 15.8
Min nTPM: 8.4
RHH5316_R3683
8.4
RHH5224_R3596
14.2
RHH5253_R3625
13.6
RHH5282_R3654
15.8
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.
83.8
Schmiedel sample id
TPM
NK-cell TPM: 83.8
Samples: 90
Max TPM: 131.8
Min TPM: 41.7
NK_1
131.8
NK_2
122.2
NK_3
121.3
NK_4
119.7
NK_5
119.4
NK_6
118.9
NK_7
118.8
NK_8
118.0
NK_9
115.8
NK_10
115.4
NK_11
113.8
NK_12
113.1
NK_13
113.1
NK_14
111.0
NK_15
109.0
NK_16
108.9
NK_17
107.5
NK_18
105.8
NK_19
103.5
NK_20
102.6
NK_21
101.2
NK_22
98.7
NK_23
98.4
NK_24
98.1
NK_25
97.4
NK_26
96.3
NK_27
95.8
NK_28
94.4
NK_29
94.3
NK_30
93.5
NK_31
92.4
NK_32
91.9
NK_33
91.3
NK_34
90.1
NK_35
87.4
NK_36
86.9
NK_37
86.6
NK_38
86.4
NK_39
86.0
NK_40
84.9
NK_41
84.5
NK_42
83.1
NK_43
81.7
NK_44
81.4
NK_45
81.1
NK_46
81.1
NK_47
80.0
NK_48
79.5
NK_49
79.2
NK_50
78.7
NK_51
78.7
NK_52
78.6
NK_53
76.8
NK_54
76.0
NK_55
75.6
NK_56
75.3
NK_57
73.3
NK_58
73.0
NK_59
72.0
NK_60
71.4
NK_61
70.2
NK_62
70.0
NK_63
69.7
NK_64
69.5
NK_65
69.5
NK_66
68.6
NK_67
68.1
NK_68
66.6
NK_69
66.3
NK_70
66.2
NK_71
65.5
NK_72
64.3
NK_73
63.2
NK_74
63.2
NK_75
62.3
NK_76
62.3
NK_77
61.3
NK_78
60.7
NK_79
60.6
NK_80
60.2
NK_81
59.0
NK_82
57.6
NK_83
57.6
NK_84
55.2
NK_85
54.2
NK_86
54.2
NK_87
54.1
NK_88
48.2
NK_89
47.0
NK_90
41.7
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