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:
83.0
nTPM
Monaco:
29.7
nTPM
Schmiedel:
25.3
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.
83.0
HPA sample
nTPM
NK-cell nTPM: 83.0
Samples: 6
Max nTPM: 120.7
Min nTPM: 33.6
P10809_1013
33.6
P10809_1033
101.2
P10809_1052
94.6
P10809_1071
120.7
P10809_1093
37.6
P10809_1103
110.4
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.
29.7
Monaco sample
nTPM
NK-cell nTPM: 29.8
Samples: 4
Max nTPM: 37.5
Min nTPM: 15.6
RHH5316_R3683
36.7
RHH5224_R3596
37.5
RHH5253_R3625
15.6
RHH5282_R3654
29.2
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.
25.3
Schmiedel sample id
TPM
NK-cell TPM: 25.3
Samples: 90
Max TPM: 50.7
Min TPM: 4.9
NK_1
50.7
NK_2
48.6
NK_3
48.2
NK_4
46.4
NK_5
42.6
NK_6
41.8
NK_7
41.1
NK_8
40.7
NK_9
39.9
NK_10
39.9
NK_11
39.6
NK_12
38.9
NK_13
36.8
NK_14
36.7
NK_15
36.5
NK_16
36.2
NK_17
35.7
NK_18
35.2
NK_19
34.3
NK_20
34.1
NK_21
34.0
NK_22
33.3
NK_23
33.0
NK_24
32.8
NK_25
32.7
NK_26
32.6
NK_27
32.3
NK_28
32.2
NK_29
32.1
NK_30
31.0
NK_31
29.6
NK_32
29.3
NK_33
29.0
NK_34
28.7
NK_35
27.2
NK_36
27.1
NK_37
26.8
NK_38
26.7
NK_39
26.7
NK_40
26.3
NK_41
26.0
NK_42
26.0
NK_43
25.3
NK_44
25.2
NK_45
24.9
NK_46
24.6
NK_47
24.4
NK_48
24.1
NK_49
23.9
NK_50
23.8
NK_51
23.5
NK_52
22.8
NK_53
22.5
NK_54
22.3
NK_55
22.0
NK_56
21.6
NK_57
21.6
NK_58
21.5
NK_59
21.1
NK_60
20.3
NK_61
19.0
NK_62
18.8
NK_63
18.4
NK_64
17.7
NK_65
17.6
NK_66
17.2
NK_67
17.1
NK_68
16.8
NK_69
16.6
NK_70
15.8
NK_71
15.5
NK_72
15.2
NK_73
14.9
NK_74
14.4
NK_75
14.3
NK_76
13.3
NK_77
13.0
NK_78
12.9
NK_79
12.5
NK_80
12.2
NK_81
11.3
NK_82
11.1
NK_83
11.0
NK_84
10.8
NK_85
10.1
NK_86
9.3
NK_87
8.0
NK_88
6.0
NK_89
5.1
NK_90
4.9
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.