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:
4.9
nTPM
Monaco:
96.5
nTPM
Schmiedel:
72.0
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.
4.9
HPA sample
nTPM
NK-cell nTPM: 4.9
Samples: 6
Max nTPM: 10.2
Min nTPM: 1.5
P10809_1013
6.0
P10809_1033
2.0
P10809_1052
6.9
P10809_1071
3.0
P10809_1093
1.5
P10809_1103
10.2
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.
96.5
Monaco sample
nTPM
NK-cell nTPM: 96.5
Samples: 4
Max nTPM: 122.0
Min nTPM: 76.0
RHH5316_R3683
100.3
RHH5224_R3596
122.0
RHH5253_R3625
76.0
RHH5282_R3654
87.6
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.
72.0
Schmiedel sample id
TPM
NK-cell TPM: 72.0
Samples: 90
Max TPM: 140.4
Min TPM: 19.5
NK_1
140.4
NK_2
132.5
NK_3
131.4
NK_4
124.3
NK_5
116.5
NK_6
113.6
NK_7
113.1
NK_8
110.2
NK_9
110.0
NK_10
109.4
NK_11
107.0
NK_12
105.8
NK_13
105.5
NK_14
104.7
NK_15
104.0
NK_16
103.7
NK_17
102.8
NK_18
102.8
NK_19
99.1
NK_20
98.7
NK_21
98.0
NK_22
95.0
NK_23
93.7
NK_24
88.2
NK_25
87.5
NK_26
86.6
NK_27
85.9
NK_28
85.6
NK_29
84.1
NK_30
83.6
NK_31
83.5
NK_32
83.2
NK_33
82.9
NK_34
81.6
NK_35
80.6
NK_36
79.9
NK_37
76.3
NK_38
76.2
NK_39
76.1
NK_40
74.6
NK_41
73.9
NK_42
73.6
NK_43
73.3
NK_44
70.1
NK_45
69.1
NK_46
68.8
NK_47
67.7
NK_48
66.9
NK_49
64.4
NK_50
64.3
NK_51
63.4
NK_52
63.0
NK_53
62.7
NK_54
62.2
NK_55
62.1
NK_56
60.4
NK_57
59.6
NK_58
59.5
NK_59
59.5
NK_60
58.6
NK_61
58.3
NK_62
58.3
NK_63
57.2
NK_64
56.3
NK_65
55.8
NK_66
55.7
NK_67
55.0
NK_68
53.4
NK_69
53.2
NK_70
51.2
NK_71
48.4
NK_72
48.1
NK_73
45.1
NK_74
44.1
NK_75
43.7
NK_76
42.0
NK_77
40.0
NK_78
39.7
NK_79
39.6
NK_80
37.1
NK_81
36.0
NK_82
35.9
NK_83
32.8
NK_84
30.7
NK_85
30.1
NK_86
29.3
NK_87
21.1
NK_88
20.5
NK_89
20.5
NK_90
19.5
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
