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:
6.9
nTPM
Monaco:
54.1
nTPM
Schmiedel:
82.1
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.
6.9
HPA sample
nTPM
NK-cell nTPM: 6.9
Samples: 6
Max nTPM: 12.3
Min nTPM: 2.3
P10809_1013
3.9
P10809_1033
7.0
P10809_1052
7.8
P10809_1071
8.1
P10809_1093
12.3
P10809_1103
2.3
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.
54.1
Monaco sample
nTPM
NK-cell nTPM: 54.2
Samples: 4
Max nTPM: 73.8
Min nTPM: 36.4
RHH5316_R3683
48.8
RHH5224_R3596
73.8
RHH5253_R3625
57.7
RHH5282_R3654
36.4
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.
82.1
Schmiedel sample id
TPM
NK-cell TPM: 82.1
Samples: 90
Max TPM: 181.1
Min TPM: 35.6
NK_1
181.1
NK_2
178.1
NK_3
148.4
NK_4
145.9
NK_5
135.0
NK_6
133.1
NK_7
129.8
NK_8
124.3
NK_9
121.7
NK_10
121.4
NK_11
118.5
NK_12
116.1
NK_13
113.0
NK_14
111.2
NK_15
110.8
NK_16
110.3
NK_17
109.1
NK_18
108.6
NK_19
108.0
NK_20
105.0
NK_21
103.4
NK_22
102.1
NK_23
99.1
NK_24
96.0
NK_25
95.6
NK_26
94.0
NK_27
94.0
NK_28
93.9
NK_29
92.9
NK_30
92.3
NK_31
92.2
NK_32
89.8
NK_33
86.5
NK_34
85.9
NK_35
85.3
NK_36
85.1
NK_37
85.1
NK_38
84.9
NK_39
83.7
NK_40
82.6
NK_41
82.6
NK_42
81.4
NK_43
78.9
NK_44
77.9
NK_45
75.6
NK_46
74.2
NK_47
72.7
NK_48
72.3
NK_49
71.1
NK_50
70.7
NK_51
70.6
NK_52
70.2
NK_53
69.3
NK_54
68.7
NK_55
68.5
NK_56
68.3
NK_57
68.2
NK_58
68.2
NK_59
67.3
NK_60
66.1
NK_61
65.3
NK_62
64.9
NK_63
63.8
NK_64
62.7
NK_65
61.9
NK_66
61.3
NK_67
61.3
NK_68
61.2
NK_69
59.9
NK_70
59.8
NK_71
59.7
NK_72
57.7
NK_73
56.9
NK_74
56.4
NK_75
56.1
NK_76
53.8
NK_77
53.7
NK_78
51.9
NK_79
47.8
NK_80
47.0
NK_81
46.4
NK_82
45.6
NK_83
45.2
NK_84
44.8
NK_85
44.8
NK_86
44.6
NK_87
42.0
NK_88
40.6
NK_89
38.7
NK_90
35.6
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
