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:
3.5
nTPM
Monaco:
13.4
nTPM
Schmiedel:
21.2
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.
3.5
HPA sample
nTPM
NK-cell nTPM: 3.6
Samples: 6
Max nTPM: 6.3
Min nTPM: 0.0
P10809_1013
3.7
P10809_1033
6.3
P10809_1052
4.1
P10809_1071
4.0
P10809_1093
0.0
P10809_1103
3.2
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.
13.4
Monaco sample
nTPM
NK-cell nTPM: 13.4
Samples: 4
Max nTPM: 17.4
Min nTPM: 9.9
RHH5316_R3683
9.9
RHH5224_R3596
14.4
RHH5253_R3625
17.4
RHH5282_R3654
11.7
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.
21.2
Schmiedel sample id
TPM
NK-cell TPM: 21.2
Samples: 90
Max TPM: 27.0
Min TPM: 13.4
NK_1
27.0
NK_2
26.2
NK_3
25.8
NK_4
24.8
NK_5
24.8
NK_6
24.7
NK_7
24.6
NK_8
24.2
NK_9
24.1
NK_10
24.1
NK_11
24.0
NK_12
23.8
NK_13
23.8
NK_14
23.8
NK_15
23.6
NK_16
23.3
NK_17
23.3
NK_18
23.2
NK_19
23.2
NK_20
22.8
NK_21
22.6
NK_22
22.6
NK_23
22.6
NK_24
22.4
NK_25
22.4
NK_26
22.4
NK_27
22.3
NK_28
22.3
NK_29
22.3
NK_30
22.2
NK_31
22.2
NK_32
22.2
NK_33
22.2
NK_34
22.2
NK_35
22.1
NK_36
21.9
NK_37
21.8
NK_38
21.8
NK_39
21.8
NK_40
21.6
NK_41
21.4
NK_42
21.3
NK_43
21.3
NK_44
21.2
NK_45
21.2
NK_46
21.1
NK_47
21.1
NK_48
21.1
NK_49
21.0
NK_50
21.0
NK_51
21.0
NK_52
20.8
NK_53
20.7
NK_54
20.7
NK_55
20.7
NK_56
20.5
NK_57
20.5
NK_58
20.4
NK_59
20.4
NK_60
20.1
NK_61
20.0
NK_62
20.0
NK_63
19.8
NK_64
19.8
NK_65
19.7
NK_66
19.7
NK_67
19.6
NK_68
19.6
NK_69
19.5
NK_70
19.4
NK_71
19.4
NK_72
19.3
NK_73
19.3
NK_74
19.2
NK_75
19.0
NK_76
18.8
NK_77
18.8
NK_78
18.7
NK_79
18.6
NK_80
18.5
NK_81
18.5
NK_82
18.5
NK_83
18.5
NK_84
18.0
NK_85
17.9
NK_86
17.8
NK_87
17.8
NK_88
17.7
NK_89
17.7
NK_90
13.4
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