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:
82.1
nTPM
Monaco:
108.1
nTPM
Schmiedel:
81.2
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.
82.1
HPA sample
nTPM
NK-cell nTPM: 82.1
Samples: 6
Max nTPM: 96.9
Min nTPM: 58.7
P10809_1013
58.7
P10809_1033
96.9
P10809_1052
77.5
P10809_1071
75.0
P10809_1093
92.3
P10809_1103
92.2
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.
108.1
Monaco sample
nTPM
NK-cell nTPM: 108.1
Samples: 4
Max nTPM: 137.8
Min nTPM: 65.4
RHH5316_R3683
120.5
RHH5224_R3596
137.8
RHH5253_R3625
65.4
RHH5282_R3654
108.8
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.
81.2
Schmiedel sample id
TPM
NK-cell TPM: 81.2
Samples: 90
Max TPM: 104.5
Min TPM: 53.2
NK_1
104.5
NK_2
103.7
NK_3
98.2
NK_4
98.0
NK_5
96.4
NK_6
96.3
NK_7
96.1
NK_8
95.8
NK_9
95.2
NK_10
94.7
NK_11
92.8
NK_12
92.8
NK_13
91.2
NK_14
90.9
NK_15
90.8
NK_16
89.9
NK_17
89.5
NK_18
89.4
NK_19
89.1
NK_20
89.1
NK_21
88.7
NK_22
88.6
NK_23
88.4
NK_24
87.8
NK_25
87.7
NK_26
87.1
NK_27
87.0
NK_28
86.5
NK_29
86.3
NK_30
86.2
NK_31
85.9
NK_32
85.7
NK_33
85.1
NK_34
84.9
NK_35
84.8
NK_36
84.4
NK_37
84.3
NK_38
84.2
NK_39
83.8
NK_40
83.5
NK_41
83.2
NK_42
82.9
NK_43
82.7
NK_44
82.6
NK_45
82.2
NK_46
82.1
NK_47
81.4
NK_48
81.1
NK_49
80.8
NK_50
80.2
NK_51
79.6
NK_52
79.2
NK_53
79.1
NK_54
78.8
NK_55
78.5
NK_56
78.5
NK_57
78.1
NK_58
78.1
NK_59
77.7
NK_60
75.9
NK_61
75.6
NK_62
75.5
NK_63
75.4
NK_64
75.4
NK_65
74.7
NK_66
74.6
NK_67
74.5
NK_68
74.3
NK_69
74.3
NK_70
73.8
NK_71
73.8
NK_72
73.6
NK_73
72.9
NK_74
71.9
NK_75
71.8
NK_76
71.3
NK_77
70.4
NK_78
69.7
NK_79
69.2
NK_80
69.1
NK_81
68.4
NK_82
66.8
NK_83
66.8
NK_84
66.5
NK_85
64.5
NK_86
64.2
NK_87
63.5
NK_88
62.3
NK_89
59.9
NK_90
53.2
Show allShow less
We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.