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:
1.5
nTPM
Monaco:
11.7
nTPM
Schmiedel:
43.7
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.
1.5
HPA sample
nTPM
NK-cell nTPM: 1.5
Samples: 6
Max nTPM: 4.1
Min nTPM: 0.0
P10809_1013
1.7
P10809_1033
0.0
P10809_1052
0.0
P10809_1071
4.1
P10809_1093
0.0
P10809_1103
3.0
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.
11.7
Monaco sample
nTPM
NK-cell nTPM: 11.7
Samples: 4
Max nTPM: 17.8
Min nTPM: 7.1
RHH5316_R3683
7.1
RHH5224_R3596
8.9
RHH5253_R3625
17.8
RHH5282_R3654
13.1
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.
43.7
Schmiedel sample id
TPM
NK-cell TPM: 43.7
Samples: 90
Max TPM: 71.7
Min TPM: 19.5
NK_1
71.7
NK_2
62.6
NK_3
62.4
NK_4
61.6
NK_5
60.7
NK_6
59.6
NK_7
58.9
NK_8
58.4
NK_9
58.0
NK_10
55.9
NK_11
55.6
NK_12
52.1
NK_13
51.3
NK_14
49.9
NK_15
49.8
NK_16
49.5
NK_17
49.4
NK_18
49.2
NK_19
47.8
NK_20
47.7
NK_21
47.7
NK_22
47.5
NK_23
47.4
NK_24
47.3
NK_25
47.2
NK_26
46.9
NK_27
46.8
NK_28
46.8
NK_29
46.0
NK_30
46.0
NK_31
45.8
NK_32
45.7
NK_33
45.6
NK_34
45.5
NK_35
45.2
NK_36
45.1
NK_37
45.1
NK_38
45.0
NK_39
45.0
NK_40
44.8
NK_41
44.1
NK_42
43.7
NK_43
43.5
NK_44
43.4
NK_45
43.2
NK_46
43.0
NK_47
42.8
NK_48
42.6
NK_49
42.5
NK_50
42.1
NK_51
42.1
NK_52
42.0
NK_53
41.9
NK_54
41.9
NK_55
41.5
NK_56
41.3
NK_57
41.2
NK_58
41.1
NK_59
40.6
NK_60
40.4
NK_61
40.3
NK_62
40.0
NK_63
39.6
NK_64
39.4
NK_65
38.6
NK_66
38.1
NK_67
38.0
NK_68
37.9
NK_69
37.9
NK_70
37.6
NK_71
37.5
NK_72
37.5
NK_73
37.3
NK_74
36.5
NK_75
36.3
NK_76
35.6
NK_77
35.0
NK_78
34.9
NK_79
34.9
NK_80
34.9
NK_81
34.2
NK_82
33.5
NK_83
33.2
NK_84
33.2
NK_85
32.9
NK_86
32.6
NK_87
30.8
NK_88
29.9
NK_89
25.2
NK_90
19.5
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.