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:
7.5
nTPM
Schmiedel:
14.5
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.
1.5
HPA sample
nTPM
NK-cell nTPM: 1.5
Samples: 6
Max nTPM: 3.4
Min nTPM: 0.0
P10809_1013
1.6
P10809_1033
0.0
P10809_1052
3.4
P10809_1071
2.0
P10809_1093
0.0
P10809_1103
1.9
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.
7.5
Monaco sample
nTPM
NK-cell nTPM: 7.5
Samples: 4
Max nTPM: 14.4
Min nTPM: 1.4
RHH5316_R3683
1.7
RHH5224_R3596
14.4
RHH5253_R3625
1.4
RHH5282_R3654
12.5
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.
14.5
Schmiedel sample id
TPM
NK-cell TPM: 14.5
Samples: 90
Max TPM: 19.8
Min TPM: 7.9
NK_1
19.8
NK_2
19.4
NK_3
19.1
NK_4
18.9
NK_5
18.9
NK_6
18.8
NK_7
18.7
NK_8
18.5
NK_9
18.1
NK_10
17.5
NK_11
17.5
NK_12
17.4
NK_13
17.2
NK_14
17.0
NK_15
16.9
NK_16
16.7
NK_17
16.6
NK_18
16.6
NK_19
16.6
NK_20
16.6
NK_21
16.5
NK_22
16.4
NK_23
16.4
NK_24
16.4
NK_25
16.4
NK_26
16.4
NK_27
16.1
NK_28
16.0
NK_29
15.7
NK_30
15.6
NK_31
15.5
NK_32
15.4
NK_33
15.3
NK_34
15.2
NK_35
15.2
NK_36
15.1
NK_37
15.1
NK_38
15.0
NK_39
14.8
NK_40
14.7
NK_41
14.6
NK_42
14.6
NK_43
14.6
NK_44
14.6
NK_45
14.5
NK_46
14.4
NK_47
14.3
NK_48
14.2
NK_49
14.2
NK_50
14.2
NK_51
14.2
NK_52
14.2
NK_53
14.2
NK_54
14.1
NK_55
14.1
NK_56
14.0
NK_57
14.0
NK_58
14.0
NK_59
13.7
NK_60
13.7
NK_61
13.4
NK_62
13.4
NK_63
13.2
NK_64
12.7
NK_65
12.7
NK_66
12.6
NK_67
12.6
NK_68
12.5
NK_69
12.5
NK_70
12.5
NK_71
12.4
NK_72
12.3
NK_73
12.2
NK_74
12.1
NK_75
12.0
NK_76
11.9
NK_77
11.7
NK_78
11.6
NK_79
11.6
NK_80
11.5
NK_81
11.4
NK_82
11.4
NK_83
10.7
NK_84
10.7
NK_85
10.5
NK_86
10.4
NK_87
10.4
NK_88
9.0
NK_89
8.5
NK_90
7.9
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