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:
3.3
nTPM
Monaco:
6.2
nTPM
Schmiedel:
38.3
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.
3.3
HPA sample
nTPM
NK-cell nTPM: 3.3
Samples: 6
Max nTPM: 8.6
Min nTPM: 0.6
P10809_1013
3.0
P10809_1033
1.3
P10809_1052
1.6
P10809_1071
4.5
P10809_1093
8.6
P10809_1103
0.6
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.
6.2
Monaco sample
nTPM
NK-cell nTPM: 6.2
Samples: 4
Max nTPM: 8.1
Min nTPM: 4.6
RHH5316_R3683
8.1
RHH5224_R3596
4.7
RHH5253_R3625
7.2
RHH5282_R3654
4.6
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.
38.3
Schmiedel sample id
TPM
NK-cell TPM: 38.3
Samples: 90
Max TPM: 82.8
Min TPM: 27.5
NK_1
82.8
NK_2
50.0
NK_3
46.0
NK_4
45.9
NK_5
45.6
NK_6
45.1
NK_7
44.0
NK_8
43.8
NK_9
43.8
NK_10
42.4
NK_11
42.4
NK_12
42.2
NK_13
42.2
NK_14
41.8
NK_15
41.7
NK_16
41.6
NK_17
41.6
NK_18
41.5
NK_19
41.4
NK_20
41.1
NK_21
40.9
NK_22
40.8
NK_23
40.8
NK_24
40.7
NK_25
40.5
NK_26
40.2
NK_27
40.1
NK_28
39.9
NK_29
39.9
NK_30
39.9
NK_31
39.8
NK_32
39.7
NK_33
39.6
NK_34
39.6
NK_35
39.4
NK_36
39.4
NK_37
39.3
NK_38
39.2
NK_39
39.1
NK_40
38.8
NK_41
38.7
NK_42
38.7
NK_43
38.6
NK_44
38.4
NK_45
38.3
NK_46
38.3
NK_47
38.2
NK_48
38.0
NK_49
37.9
NK_50
37.8
NK_51
37.7
NK_52
37.4
NK_53
37.4
NK_54
37.2
NK_55
37.1
NK_56
36.7
NK_57
36.1
NK_58
35.9
NK_59
35.9
NK_60
35.8
NK_61
35.7
NK_62
35.6
NK_63
35.5
NK_64
35.4
NK_65
35.4
NK_66
35.4
NK_67
35.3
NK_68
34.8
NK_69
34.7
NK_70
34.4
NK_71
34.4
NK_72
34.2
NK_73
33.9
NK_74
33.9
NK_75
33.3
NK_76
33.1
NK_77
33.0
NK_78
33.0
NK_79
32.9
NK_80
32.8
NK_81
32.4
NK_82
32.3
NK_83
32.2
NK_84
31.4
NK_85
31.2
NK_86
30.5
NK_87
29.8
NK_88
28.4
NK_89
27.7
NK_90
27.5
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
