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:
0.4
nTPM
Monaco:
17.4
nTPM
Schmiedel:
41.8
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.
0.4
HPA sample
nTPM
NK-cell nTPM: 0.4
Samples: 6
Max nTPM: 1.2
Min nTPM: 0.0
P10809_1013
1.2
P10809_1033
0.4
P10809_1052
0.3
P10809_1071
0.0
P10809_1093
0.0
P10809_1103
0.5
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.
17.4
Monaco sample
nTPM
NK-cell nTPM: 17.4
Samples: 4
Max nTPM: 26.7
Min nTPM: 6.5
RHH5316_R3683
16.4
RHH5224_R3596
6.5
RHH5253_R3625
26.7
RHH5282_R3654
19.9
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.
41.8
Schmiedel sample id
TPM
NK-cell TPM: 41.8
Samples: 90
Max TPM: 136.9
Min TPM: 18.2
NK_1
136.9
NK_2
126.1
NK_3
122.0
NK_4
91.0
NK_5
89.8
NK_6
85.6
NK_7
79.7
NK_8
76.1
NK_9
69.6
NK_10
68.0
NK_11
65.0
NK_12
64.3
NK_13
63.1
NK_14
61.1
NK_15
60.7
NK_16
58.2
NK_17
54.4
NK_18
52.4
NK_19
52.0
NK_20
50.8
NK_21
49.6
NK_22
49.4
NK_23
46.9
NK_24
46.9
NK_25
46.3
NK_26
45.4
NK_27
45.4
NK_28
42.7
NK_29
42.5
NK_30
42.3
NK_31
41.2
NK_32
40.7
NK_33
40.7
NK_34
40.3
NK_35
39.8
NK_36
38.3
NK_37
37.7
NK_38
37.4
NK_39
37.4
NK_40
36.0
NK_41
35.3
NK_42
35.1
NK_43
35.1
NK_44
34.4
NK_45
34.4
NK_46
34.0
NK_47
33.8
NK_48
33.5
NK_49
33.0
NK_50
32.9
NK_51
32.9
NK_52
32.2
NK_53
31.7
NK_54
31.6
NK_55
31.6
NK_56
30.5
NK_57
30.4
NK_58
30.2
NK_59
30.1
NK_60
30.0
NK_61
29.7
NK_62
29.5
NK_63
28.6
NK_64
28.6
NK_65
28.1
NK_66
27.8
NK_67
27.8
NK_68
27.6
NK_69
27.6
NK_70
27.4
NK_71
26.9
NK_72
25.7
NK_73
25.3
NK_74
24.8
NK_75
24.7
NK_76
24.7
NK_77
24.4
NK_78
23.6
NK_79
23.5
NK_80
23.4
NK_81
22.9
NK_82
22.4
NK_83
21.9
NK_84
21.8
NK_85
21.5
NK_86
21.4
NK_87
20.9
NK_88
20.0
NK_89
18.9
NK_90
18.2
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
