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:
5.1
nTPM
Monaco:
31.9
nTPM
Schmiedel:
48.8
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.
5.1
HPA sample
nTPM
NK-cell nTPM: 5.1
Samples: 6
Max nTPM: 10.5
Min nTPM: 0.0
P10809_1013
5.8
P10809_1033
5.3
P10809_1052
10.5
P10809_1071
3.6
P10809_1093
0.0
P10809_1103
5.5
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.
31.9
Monaco sample
nTPM
NK-cell nTPM: 31.9
Samples: 4
Max nTPM: 41.1
Min nTPM: 24.9
RHH5316_R3683
24.9
RHH5224_R3596
29.4
RHH5253_R3625
32.1
RHH5282_R3654
41.1
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.
48.8
Schmiedel sample id
TPM
NK-cell TPM: 48.8
Samples: 90
Max TPM: 85.1
Min TPM: 29.9
NK_1
85.1
NK_2
83.2
NK_3
75.1
NK_4
74.6
NK_5
74.2
NK_6
72.8
NK_7
70.7
NK_8
68.4
NK_9
67.8
NK_10
66.7
NK_11
65.7
NK_12
65.4
NK_13
62.4
NK_14
61.0
NK_15
60.4
NK_16
60.2
NK_17
59.9
NK_18
59.3
NK_19
57.3
NK_20
57.2
NK_21
56.5
NK_22
55.9
NK_23
55.8
NK_24
55.4
NK_25
55.1
NK_26
53.4
NK_27
53.4
NK_28
53.2
NK_29
53.0
NK_30
52.8
NK_31
52.6
NK_32
52.3
NK_33
51.9
NK_34
51.6
NK_35
50.6
NK_36
50.6
NK_37
50.5
NK_38
50.3
NK_39
49.7
NK_40
49.1
NK_41
48.9
NK_42
48.9
NK_43
48.8
NK_44
48.6
NK_45
48.5
NK_46
47.0
NK_47
46.7
NK_48
46.7
NK_49
46.6
NK_50
46.4
NK_51
46.3
NK_52
45.9
NK_53
45.7
NK_54
45.1
NK_55
43.8
NK_56
43.2
NK_57
43.0
NK_58
42.9
NK_59
42.2
NK_60
42.2
NK_61
42.0
NK_62
41.6
NK_63
41.5
NK_64
41.2
NK_65
40.0
NK_66
39.2
NK_67
38.8
NK_68
38.6
NK_69
37.4
NK_70
37.3
NK_71
37.1
NK_72
36.3
NK_73
36.3
NK_74
36.1
NK_75
36.0
NK_76
36.0
NK_77
34.9
NK_78
34.4
NK_79
34.3
NK_80
33.7
NK_81
33.2
NK_82
33.2
NK_83
33.0
NK_84
32.5
NK_85
32.3
NK_86
32.1
NK_87
32.0
NK_88
30.5
NK_89
30.1
NK_90
29.9
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
