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:
58.0
nTPM
Monaco:
87.8
nTPM
Schmiedel:
108.3
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.
58.0
HPA sample
nTPM
NK-cell nTPM: 58.1
Samples: 6
Max nTPM: 80.4
Min nTPM: 37.7
P10809_1013
37.7
P10809_1033
63.3
P10809_1052
56.8
P10809_1071
80.4
P10809_1093
53.4
P10809_1103
56.7
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.
87.8
Monaco sample
nTPM
NK-cell nTPM: 87.8
Samples: 4
Max nTPM: 128.2
Min nTPM: 55.9
RHH5316_R3683
76.1
RHH5224_R3596
128.2
RHH5253_R3625
55.9
RHH5282_R3654
91.1
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.
108.3
Schmiedel sample id
TPM
NK-cell TPM: 108.3
Samples: 90
Max TPM: 131.5
Min TPM: 83.0
NK_1
131.5
NK_2
131.2
NK_3
128.0
NK_4
126.9
NK_5
126.0
NK_6
124.1
NK_7
124.1
NK_8
121.3
NK_9
120.6
NK_10
120.6
NK_11
120.5
NK_12
120.5
NK_13
119.9
NK_14
118.1
NK_15
118.1
NK_16
116.9
NK_17
116.1
NK_18
116.0
NK_19
114.8
NK_20
114.8
NK_21
114.5
NK_22
114.2
NK_23
113.9
NK_24
113.3
NK_25
113.3
NK_26
113.2
NK_27
113.1
NK_28
112.9
NK_29
112.7
NK_30
112.4
NK_31
112.4
NK_32
112.2
NK_33
112.0
NK_34
111.7
NK_35
111.5
NK_36
111.4
NK_37
110.8
NK_38
110.7
NK_39
110.3
NK_40
110.3
NK_41
110.2
NK_42
110.2
NK_43
110.2
NK_44
110.0
NK_45
109.7
NK_46
109.3
NK_47
108.9
NK_48
108.7
NK_49
108.2
NK_50
108.0
NK_51
107.8
NK_52
107.8
NK_53
107.2
NK_54
107.1
NK_55
107.0
NK_56
106.2
NK_57
106.1
NK_58
105.5
NK_59
104.3
NK_60
103.3
NK_61
103.1
NK_62
102.9
NK_63
102.5
NK_64
102.5
NK_65
102.0
NK_66
101.6
NK_67
101.2
NK_68
100.7
NK_69
100.4
NK_70
99.8
NK_71
99.7
NK_72
98.4
NK_73
98.3
NK_74
97.6
NK_75
97.5
NK_76
97.2
NK_77
96.4
NK_78
96.1
NK_79
96.1
NK_80
96.1
NK_81
96.0
NK_82
95.2
NK_83
94.4
NK_84
94.2
NK_85
93.6
NK_86
93.0
NK_87
92.7
NK_88
89.8
NK_89
89.4
NK_90
83.0
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
