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:
75.2
nTPM
Monaco:
190.7
nTPM
Schmiedel:
74.6
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.
75.2
HPA sample
nTPM
NK-cell nTPM: 75.2
Samples: 6
Max nTPM: 107.5
Min nTPM: 55.3
P10809_1013
55.3
P10809_1033
107.5
P10809_1052
71.4
P10809_1071
73.1
P10809_1093
63.9
P10809_1103
80.1
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.
190.7
Monaco sample
nTPM
NK-cell nTPM: 190.7
Samples: 4
Max nTPM: 258.5
Min nTPM: 119.5
RHH5316_R3683
215.6
RHH5224_R3596
258.5
RHH5253_R3625
119.5
RHH5282_R3654
169.1
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.
74.6
Schmiedel sample id
TPM
NK-cell TPM: 74.6
Samples: 90
Max TPM: 143.2
Min TPM: 22.9
NK_1
143.2
NK_2
142.2
NK_3
129.7
NK_4
126.2
NK_5
120.9
NK_6
117.7
NK_7
117.2
NK_8
114.2
NK_9
111.8
NK_10
108.6
NK_11
107.7
NK_12
106.5
NK_13
101.9
NK_14
99.0
NK_15
97.9
NK_16
97.2
NK_17
97.0
NK_18
97.0
NK_19
96.9
NK_20
96.7
NK_21
96.1
NK_22
91.6
NK_23
90.6
NK_24
89.5
NK_25
88.8
NK_26
87.6
NK_27
86.7
NK_28
86.4
NK_29
86.0
NK_30
84.6
NK_31
84.3
NK_32
84.2
NK_33
83.4
NK_34
83.0
NK_35
82.8
NK_36
80.9
NK_37
80.6
NK_38
80.2
NK_39
80.2
NK_40
76.4
NK_41
76.3
NK_42
75.6
NK_43
74.1
NK_44
73.7
NK_45
73.5
NK_46
73.0
NK_47
71.3
NK_48
70.6
NK_49
70.1
NK_50
67.5
NK_51
65.9
NK_52
65.6
NK_53
62.5
NK_54
62.4
NK_55
62.2
NK_56
61.6
NK_57
61.1
NK_58
60.5
NK_59
59.7
NK_60
59.7
NK_61
59.3
NK_62
58.4
NK_63
58.3
NK_64
56.2
NK_65
56.0
NK_66
53.8
NK_67
53.5
NK_68
52.9
NK_69
52.0
NK_70
51.1
NK_71
51.1
NK_72
50.8
NK_73
50.6
NK_74
50.2
NK_75
50.2
NK_76
49.9
NK_77
49.3
NK_78
48.8
NK_79
47.4
NK_80
47.3
NK_81
45.2
NK_82
45.1
NK_83
44.0
NK_84
41.0
NK_85
40.6
NK_86
40.4
NK_87
37.3
NK_88
35.3
NK_89
33.6
NK_90
22.9
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
