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:
5.8
nTPM
Monaco:
31.5
nTPM
Schmiedel:
17.7
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.
5.8
HPA sample
nTPM
NK-cell nTPM: 5.8
Samples: 6
Max nTPM: 9.9
Min nTPM: 0.0
P10809_1013
6.1
P10809_1033
9.9
P10809_1052
5.1
P10809_1071
8.1
P10809_1093
0.0
P10809_1103
5.4
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.
31.5
Monaco sample
nTPM
NK-cell nTPM: 31.5
Samples: 4
Max nTPM: 36.9
Min nTPM: 19.7
RHH5316_R3683
35.8
RHH5224_R3596
36.9
RHH5253_R3625
33.5
RHH5282_R3654
19.7
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.
17.7
Schmiedel sample id
TPM
NK-cell TPM: 17.7
Samples: 90
Max TPM: 25.9
Min TPM: 10.6
NK_1
25.9
NK_2
25.3
NK_3
24.5
NK_4
24.5
NK_5
24.3
NK_6
23.4
NK_7
23.4
NK_8
23.1
NK_9
22.9
NK_10
22.4
NK_11
22.3
NK_12
21.9
NK_13
21.8
NK_14
21.6
NK_15
21.2
NK_16
21.1
NK_17
20.9
NK_18
20.9
NK_19
20.8
NK_20
20.3
NK_21
20.3
NK_22
20.3
NK_23
20.1
NK_24
20.1
NK_25
19.7
NK_26
18.9
NK_27
18.8
NK_28
18.8
NK_29
18.7
NK_30
18.6
NK_31
18.4
NK_32
18.3
NK_33
18.3
NK_34
18.3
NK_35
18.1
NK_36
18.1
NK_37
18.1
NK_38
18.0
NK_39
17.9
NK_40
17.9
NK_41
17.7
NK_42
17.7
NK_43
17.6
NK_44
17.6
NK_45
17.6
NK_46
17.5
NK_47
17.5
NK_48
17.4
NK_49
17.3
NK_50
17.1
NK_51
16.9
NK_52
16.8
NK_53
16.8
NK_54
16.8
NK_55
16.8
NK_56
16.4
NK_57
16.3
NK_58
16.2
NK_59
16.2
NK_60
16.2
NK_61
16.1
NK_62
16.1
NK_63
16.1
NK_64
15.9
NK_65
15.8
NK_66
15.7
NK_67
15.3
NK_68
15.2
NK_69
15.2
NK_70
15.1
NK_71
15.1
NK_72
14.9
NK_73
14.8
NK_74
14.7
NK_75
14.6
NK_76
14.3
NK_77
13.9
NK_78
13.8
NK_79
13.8
NK_80
13.5
NK_81
13.4
NK_82
13.0
NK_83
12.9
NK_84
12.9
NK_85
12.9
NK_86
12.7
NK_87
12.7
NK_88
11.6
NK_89
10.6
NK_90
10.6
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