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:
7.0
nTPM
Monaco:
43.6
nTPM
Schmiedel:
19.3
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.
7.0
HPA sample
nTPM
NK-cell nTPM: 7.0
Samples: 6
Max nTPM: 8.1
Min nTPM: 5.5
P10809_1013
8.1
P10809_1033
5.5
P10809_1052
6.6
P10809_1071
7.6
P10809_1093
8.1
P10809_1103
6.2
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.
43.6
Monaco sample
nTPM
NK-cell nTPM: 43.7
Samples: 4
Max nTPM: 53.4
Min nTPM: 39.5
RHH5316_R3683
40.3
RHH5224_R3596
41.4
RHH5253_R3625
53.4
RHH5282_R3654
39.5
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.
19.3
Schmiedel sample id
TPM
NK-cell TPM: 19.3
Samples: 90
Max TPM: 31.0
Min TPM: 11.4
NK_1
31.0
NK_2
29.0
NK_3
28.3
NK_4
27.1
NK_5
26.9
NK_6
25.3
NK_7
24.8
NK_8
24.6
NK_9
23.8
NK_10
23.7
NK_11
23.3
NK_12
23.3
NK_13
23.2
NK_14
23.0
NK_15
23.0
NK_16
22.8
NK_17
22.6
NK_18
22.5
NK_19
22.2
NK_20
22.0
NK_21
22.0
NK_22
22.0
NK_23
21.9
NK_24
21.8
NK_25
21.6
NK_26
21.4
NK_27
21.4
NK_28
20.9
NK_29
20.9
NK_30
20.4
NK_31
20.2
NK_32
20.1
NK_33
20.1
NK_34
20.1
NK_35
19.9
NK_36
19.9
NK_37
19.8
NK_38
19.7
NK_39
19.5
NK_40
19.3
NK_41
19.3
NK_42
19.1
NK_43
19.1
NK_44
19.1
NK_45
19.0
NK_46
18.9
NK_47
18.3
NK_48
18.3
NK_49
18.3
NK_50
18.2
NK_51
18.2
NK_52
18.2
NK_53
18.1
NK_54
18.0
NK_55
17.8
NK_56
17.8
NK_57
17.7
NK_58
17.7
NK_59
17.7
NK_60
17.3
NK_61
17.0
NK_62
17.0
NK_63
17.0
NK_64
16.8
NK_65
16.7
NK_66
16.7
NK_67
16.6
NK_68
16.6
NK_69
16.5
NK_70
16.5
NK_71
16.3
NK_72
16.2
NK_73
16.1
NK_74
16.0
NK_75
16.0
NK_76
15.9
NK_77
15.8
NK_78
15.6
NK_79
15.4
NK_80
15.3
NK_81
15.1
NK_82
15.0
NK_83
15.0
NK_84
14.6
NK_85
14.1
NK_86
13.9
NK_87
13.4
NK_88
13.4
NK_89
13.3
NK_90
11.4
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