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:
1.4
nTPM
Monaco:
13.9
nTPM
Schmiedel:
15.5
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.
1.4
HPA sample
nTPM
NK-cell nTPM: 1.4
Samples: 6
Max nTPM: 2.0
Min nTPM: 0.5
P10809_1013
0.8
P10809_1033
1.7
P10809_1052
1.8
P10809_1071
2.0
P10809_1093
1.4
P10809_1103
0.5
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.
13.9
Monaco sample
nTPM
NK-cell nTPM: 13.9
Samples: 4
Max nTPM: 19.7
Min nTPM: 9.8
RHH5316_R3683
9.8
RHH5224_R3596
19.7
RHH5253_R3625
13.8
RHH5282_R3654
12.2
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.
15.5
Schmiedel sample id
TPM
NK-cell TPM: 15.5
Samples: 90
Max TPM: 26.2
Min TPM: 8.0
NK_1
26.2
NK_2
24.0
NK_3
23.5
NK_4
23.2
NK_5
23.0
NK_6
21.4
NK_7
21.0
NK_8
20.8
NK_9
20.7
NK_10
19.8
NK_11
19.7
NK_12
19.4
NK_13
19.2
NK_14
19.1
NK_15
19.0
NK_16
18.9
NK_17
18.3
NK_18
18.3
NK_19
18.2
NK_20
18.1
NK_21
17.7
NK_22
17.5
NK_23
17.5
NK_24
17.5
NK_25
17.4
NK_26
17.3
NK_27
17.3
NK_28
17.2
NK_29
17.1
NK_30
17.0
NK_31
16.8
NK_32
16.6
NK_33
16.6
NK_34
16.6
NK_35
16.4
NK_36
16.4
NK_37
16.4
NK_38
16.3
NK_39
16.2
NK_40
16.1
NK_41
16.1
NK_42
16.0
NK_43
16.0
NK_44
15.3
NK_45
15.3
NK_46
15.2
NK_47
15.2
NK_48
15.1
NK_49
15.0
NK_50
15.0
NK_51
14.8
NK_52
14.7
NK_53
14.7
NK_54
14.4
NK_55
14.3
NK_56
14.3
NK_57
14.3
NK_58
14.2
NK_59
14.1
NK_60
14.0
NK_61
13.9
NK_62
13.9
NK_63
13.6
NK_64
13.4
NK_65
13.3
NK_66
13.2
NK_67
13.0
NK_68
12.6
NK_69
12.6
NK_70
12.3
NK_71
12.2
NK_72
12.2
NK_73
12.1
NK_74
11.8
NK_75
11.8
NK_76
11.8
NK_77
11.6
NK_78
11.6
NK_79
11.4
NK_80
11.4
NK_81
11.4
NK_82
11.3
NK_83
10.5
NK_84
10.5
NK_85
10.4
NK_86
10.2
NK_87
9.9
NK_88
9.7
NK_89
8.3
NK_90
8.0
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