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:
4.1
nTPM
Monaco:
3.6
nTPM
Schmiedel:
25.6
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.
4.1
HPA sample
nTPM
NK-cell nTPM: 4.1
Samples: 6
Max nTPM: 9.4
Min nTPM: 0.0
P10809_1013
4.9
P10809_1033
6.5
P10809_1052
0.5
P10809_1071
9.4
P10809_1093
0.0
P10809_1103
3.1
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.
3.6
Monaco sample
nTPM
NK-cell nTPM: 3.6
Samples: 4
Max nTPM: 6.4
Min nTPM: 0.1
RHH5316_R3683
6.4
RHH5224_R3596
4.8
RHH5253_R3625
0.1
RHH5282_R3654
3.0
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.
25.6
Schmiedel sample id
TPM
NK-cell TPM: 25.6
Samples: 90
Max TPM: 51.2
Min TPM: 11.7
NK_1
51.2
NK_2
48.8
NK_3
45.7
NK_4
38.4
NK_5
38.0
NK_6
37.5
NK_7
36.5
NK_8
36.4
NK_9
35.3
NK_10
35.0
NK_11
34.8
NK_12
34.1
NK_13
33.9
NK_14
32.6
NK_15
32.3
NK_16
32.3
NK_17
32.3
NK_18
31.7
NK_19
31.2
NK_20
31.1
NK_21
31.0
NK_22
30.4
NK_23
29.9
NK_24
29.9
NK_25
29.6
NK_26
29.0
NK_27
28.8
NK_28
28.5
NK_29
28.4
NK_30
28.0
NK_31
27.9
NK_32
27.7
NK_33
27.7
NK_34
27.5
NK_35
26.9
NK_36
26.7
NK_37
26.3
NK_38
26.0
NK_39
25.9
NK_40
25.7
NK_41
25.1
NK_42
24.6
NK_43
24.2
NK_44
24.1
NK_45
23.8
NK_46
23.6
NK_47
23.5
NK_48
23.5
NK_49
23.3
NK_50
23.2
NK_51
23.2
NK_52
23.1
NK_53
23.1
NK_54
23.0
NK_55
22.4
NK_56
22.3
NK_57
22.3
NK_58
22.2
NK_59
22.0
NK_60
21.8
NK_61
21.7
NK_62
21.5
NK_63
21.5
NK_64
21.4
NK_65
21.3
NK_66
21.3
NK_67
21.2
NK_68
21.0
NK_69
20.7
NK_70
20.4
NK_71
20.1
NK_72
19.4
NK_73
19.4
NK_74
19.3
NK_75
19.1
NK_76
19.0
NK_77
18.8
NK_78
18.7
NK_79
18.2
NK_80
17.4
NK_81
17.4
NK_82
16.9
NK_83
16.8
NK_84
16.7
NK_85
16.0
NK_86
15.5
NK_87
14.1
NK_88
13.1
NK_89
12.0
NK_90
11.7
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
