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:
8.3
nTPM
Monaco:
28.1
nTPM
Schmiedel:
40.5
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.
8.3
HPA sample
nTPM
NK-cell nTPM: 8.4
Samples: 6
Max nTPM: 16.3
Min nTPM: 3.2
P10809_1013
4.5
P10809_1033
3.2
P10809_1052
4.3
P10809_1071
16.3
P10809_1093
11.1
P10809_1103
10.7
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.
28.1
Monaco sample
nTPM
NK-cell nTPM: 28.1
Samples: 4
Max nTPM: 30.8
Min nTPM: 24.1
RHH5316_R3683
24.1
RHH5224_R3596
28.5
RHH5253_R3625
29.1
RHH5282_R3654
30.8
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.
40.5
Schmiedel sample id
TPM
NK-cell TPM: 40.5
Samples: 90
Max TPM: 86.2
Min TPM: 8.5
NK_1
86.2
NK_2
79.6
NK_3
78.9
NK_4
73.1
NK_5
72.0
NK_6
70.2
NK_7
69.9
NK_8
69.3
NK_9
68.7
NK_10
68.4
NK_11
66.6
NK_12
63.1
NK_13
63.0
NK_14
60.3
NK_15
60.0
NK_16
58.9
NK_17
56.9
NK_18
55.9
NK_19
55.8
NK_20
55.8
NK_21
55.6
NK_22
55.0
NK_23
54.6
NK_24
53.8
NK_25
53.6
NK_26
53.5
NK_27
53.1
NK_28
52.5
NK_29
51.2
NK_30
50.4
NK_31
49.4
NK_32
47.0
NK_33
45.7
NK_34
44.8
NK_35
44.6
NK_36
44.6
NK_37
43.1
NK_38
42.2
NK_39
41.5
NK_40
41.0
NK_41
40.8
NK_42
40.8
NK_43
40.5
NK_44
40.3
NK_45
40.1
NK_46
39.7
NK_47
39.3
NK_48
38.4
NK_49
37.4
NK_50
37.2
NK_51
36.4
NK_52
36.3
NK_53
35.1
NK_54
34.8
NK_55
34.4
NK_56
32.4
NK_57
31.9
NK_58
31.4
NK_59
31.2
NK_60
31.2
NK_61
28.7
NK_62
28.7
NK_63
28.4
NK_64
27.5
NK_65
26.8
NK_66
26.4
NK_67
25.5
NK_68
25.1
NK_69
25.0
NK_70
24.8
NK_71
24.2
NK_72
24.2
NK_73
23.4
NK_74
23.0
NK_75
22.9
NK_76
22.3
NK_77
20.3
NK_78
18.8
NK_79
18.6
NK_80
16.3
NK_81
16.1
NK_82
15.8
NK_83
15.3
NK_84
14.6
NK_85
13.5
NK_86
9.7
NK_87
9.4
NK_88
9.2
NK_89
8.8
NK_90
8.5
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.