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:
0.2
nTPM
Monaco:
36.2
nTPM
Schmiedel:
87.7
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.
0.2
HPA sample
nTPM
NK-cell nTPM: 0.2
Samples: 6
Max nTPM: 0.6
Min nTPM: 0.0
P10809_1013
0.3
P10809_1033
0.1
P10809_1052
0.6
P10809_1071
0.0
P10809_1093
0.2
P10809_1103
0.1
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.
36.2
Monaco sample
nTPM
NK-cell nTPM: 36.3
Samples: 4
Max nTPM: 41.4
Min nTPM: 27.2
RHH5316_R3683
27.2
RHH5224_R3596
41.4
RHH5253_R3625
39.7
RHH5282_R3654
36.7
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.
87.7
Schmiedel sample id
TPM
NK-cell TPM: 87.7
Samples: 90
Max TPM: 122.2
Min TPM: 39.1
NK_1
122.2
NK_2
122.1
NK_3
118.6
NK_4
115.9
NK_5
112.9
NK_6
112.1
NK_7
111.3
NK_8
111.3
NK_9
110.7
NK_10
110.2
NK_11
110.2
NK_12
109.8
NK_13
109.0
NK_14
107.5
NK_15
106.9
NK_16
106.6
NK_17
106.1
NK_18
105.9
NK_19
105.8
NK_20
105.2
NK_21
103.4
NK_22
103.1
NK_23
101.5
NK_24
101.5
NK_25
101.4
NK_26
100.8
NK_27
97.3
NK_28
95.3
NK_29
95.2
NK_30
94.1
NK_31
93.5
NK_32
93.1
NK_33
93.0
NK_34
92.5
NK_35
92.0
NK_36
92.0
NK_37
91.6
NK_38
91.5
NK_39
91.4
NK_40
90.3
NK_41
87.8
NK_42
87.4
NK_43
87.4
NK_44
87.2
NK_45
87.1
NK_46
86.3
NK_47
86.3
NK_48
86.2
NK_49
85.9
NK_50
85.3
NK_51
84.7
NK_52
84.7
NK_53
83.5
NK_54
82.9
NK_55
81.9
NK_56
81.7
NK_57
81.2
NK_58
80.8
NK_59
80.2
NK_60
79.8
NK_61
79.6
NK_62
79.6
NK_63
79.2
NK_64
78.6
NK_65
78.4
NK_66
77.9
NK_67
77.7
NK_68
76.7
NK_69
75.0
NK_70
74.5
NK_71
74.2
NK_72
73.1
NK_73
72.8
NK_74
71.7
NK_75
71.6
NK_76
71.1
NK_77
70.5
NK_78
66.8
NK_79
66.5
NK_80
65.7
NK_81
64.2
NK_82
63.8
NK_83
63.2
NK_84
63.1
NK_85
62.5
NK_86
62.2
NK_87
61.5
NK_88
61.4
NK_89
45.8
NK_90
39.1
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.
The Human Protein Atlas project is funded
