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:
3.5
nTPM
Monaco:
18.4
nTPM
Schmiedel:
24.3
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.
3.5
HPA sample
nTPM
NK-cell nTPM: 3.4
Samples: 6
Max nTPM: 6.8
Min nTPM: 0.7
P10809_1013
1.8
P10809_1033
6.8
P10809_1052
3.6
P10809_1071
0.7
P10809_1093
5.2
P10809_1103
2.6
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.
18.4
Monaco sample
nTPM
NK-cell nTPM: 18.4
Samples: 4
Max nTPM: 22.9
Min nTPM: 15.9
RHH5316_R3683
18.3
RHH5224_R3596
16.3
RHH5253_R3625
22.9
RHH5282_R3654
15.9
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.
24.3
Schmiedel sample id
TPM
NK-cell TPM: 24.3
Samples: 90
Max TPM: 58.9
Min TPM: 8.7
NK_1
58.9
NK_2
57.2
NK_3
53.6
NK_4
45.1
NK_5
40.8
NK_6
40.6
NK_7
39.2
NK_8
38.9
NK_9
38.4
NK_10
38.3
NK_11
37.1
NK_12
36.3
NK_13
36.2
NK_14
34.6
NK_15
33.2
NK_16
32.0
NK_17
31.7
NK_18
31.6
NK_19
31.5
NK_20
31.5
NK_21
31.4
NK_22
31.1
NK_23
29.6
NK_24
29.0
NK_25
28.5
NK_26
27.7
NK_27
27.6
NK_28
27.4
NK_29
27.3
NK_30
27.2
NK_31
26.7
NK_32
26.5
NK_33
25.8
NK_34
24.8
NK_35
24.7
NK_36
24.7
NK_37
24.7
NK_38
24.5
NK_39
24.2
NK_40
23.9
NK_41
23.8
NK_42
23.8
NK_43
23.7
NK_44
23.6
NK_45
23.0
NK_46
23.0
NK_47
22.0
NK_48
21.9
NK_49
21.8
NK_50
21.4
NK_51
21.2
NK_52
20.4
NK_53
20.0
NK_54
19.9
NK_55
19.5
NK_56
19.4
NK_57
19.0
NK_58
19.0
NK_59
19.0
NK_60
18.9
NK_61
18.8
NK_62
18.6
NK_63
18.5
NK_64
18.0
NK_65
17.9
NK_66
17.5
NK_67
17.0
NK_68
16.9
NK_69
16.6
NK_70
16.0
NK_71
16.0
NK_72
16.0
NK_73
16.0
NK_74
15.8
NK_75
15.1
NK_76
15.1
NK_77
14.7
NK_78
14.6
NK_79
14.3
NK_80
13.4
NK_81
13.2
NK_82
12.8
NK_83
12.3
NK_84
12.0
NK_85
11.5
NK_86
11.3
NK_87
10.9
NK_88
10.3
NK_89
9.6
NK_90
8.7
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
