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:
0.5
nTPM
Monaco:
5.7
nTPM
Schmiedel:
37.2
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.
0.5
HPA sample
nTPM
NK-cell nTPM: 0.5
Samples: 6
Max nTPM: 1.5
Min nTPM: 0.0
P10809_1013
0.6
P10809_1033
0.0
P10809_1052
0.4
P10809_1071
0.3
P10809_1093
0.0
P10809_1103
1.5
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.
5.7
Monaco sample
nTPM
NK-cell nTPM: 5.7
Samples: 4
Max nTPM: 8.9
Min nTPM: 3.8
RHH5316_R3683
5.7
RHH5224_R3596
4.3
RHH5253_R3625
8.9
RHH5282_R3654
3.8
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.
37.2
Schmiedel sample id
TPM
NK-cell TPM: 37.2
Samples: 90
Max TPM: 68.7
Min TPM: 18.5
NK_1
68.7
NK_2
60.3
NK_3
57.0
NK_4
55.1
NK_5
54.7
NK_6
53.6
NK_7
52.4
NK_8
50.0
NK_9
48.3
NK_10
48.1
NK_11
47.6
NK_12
47.1
NK_13
46.0
NK_14
44.6
NK_15
44.1
NK_16
44.1
NK_17
43.9
NK_18
43.5
NK_19
42.7
NK_20
42.7
NK_21
42.6
NK_22
42.5
NK_23
42.4
NK_24
42.4
NK_25
42.2
NK_26
41.3
NK_27
41.2
NK_28
41.1
NK_29
40.2
NK_30
39.8
NK_31
39.7
NK_32
39.6
NK_33
39.6
NK_34
38.9
NK_35
38.2
NK_36
38.2
NK_37
38.2
NK_38
38.1
NK_39
37.9
NK_40
37.6
NK_41
37.5
NK_42
37.0
NK_43
37.0
NK_44
36.8
NK_45
36.7
NK_46
36.6
NK_47
36.2
NK_48
36.1
NK_49
35.8
NK_50
35.6
NK_51
35.1
NK_52
35.0
NK_53
34.9
NK_54
34.5
NK_55
34.5
NK_56
34.3
NK_57
34.0
NK_58
33.5
NK_59
33.3
NK_60
32.9
NK_61
32.9
NK_62
32.5
NK_63
32.3
NK_64
31.4
NK_65
31.1
NK_66
31.0
NK_67
30.8
NK_68
30.7
NK_69
30.3
NK_70
30.0
NK_71
29.9
NK_72
29.7
NK_73
29.5
NK_74
29.3
NK_75
29.3
NK_76
29.1
NK_77
29.0
NK_78
28.7
NK_79
27.9
NK_80
27.3
NK_81
26.8
NK_82
26.8
NK_83
26.1
NK_84
26.1
NK_85
25.0
NK_86
24.6
NK_87
24.1
NK_88
22.0
NK_89
18.9
NK_90
18.5
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
