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:
0.6
nTPM
Monaco:
5.8
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.
0.6
HPA sample
nTPM
NK-cell nTPM: 0.6
Samples: 6
Max nTPM: 2.5
Min nTPM: 0.0
P10809_1013
1.0
P10809_1033
0.0
P10809_1052
0.3
P10809_1071
0.0
P10809_1093
0.0
P10809_1103
2.5
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.
5.8
Monaco sample
nTPM
NK-cell nTPM: 5.8
Samples: 4
Max nTPM: 10.3
Min nTPM: 1.2
RHH5316_R3683
8.6
RHH5224_R3596
1.2
RHH5253_R3625
3.2
RHH5282_R3654
10.3
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: 34.0
Min TPM: 11.0
NK_1
34.0
NK_2
29.5
NK_3
28.8
NK_4
28.8
NK_5
27.0
NK_6
25.2
NK_7
24.0
NK_8
23.7
NK_9
23.4
NK_10
23.4
NK_11
23.3
NK_12
23.3
NK_13
23.2
NK_14
22.9
NK_15
22.4
NK_16
22.2
NK_17
22.2
NK_18
22.0
NK_19
21.9
NK_20
21.8
NK_21
21.5
NK_22
21.3
NK_23
20.9
NK_24
20.8
NK_25
20.5
NK_26
20.4
NK_27
20.3
NK_28
20.2
NK_29
20.2
NK_30
20.0
NK_31
19.9
NK_32
19.9
NK_33
19.8
NK_34
19.7
NK_35
19.7
NK_36
19.6
NK_37
19.5
NK_38
19.5
NK_39
19.4
NK_40
19.4
NK_41
19.3
NK_42
19.1
NK_43
19.1
NK_44
18.9
NK_45
18.9
NK_46
18.8
NK_47
18.7
NK_48
18.6
NK_49
18.5
NK_50
18.5
NK_51
18.4
NK_52
18.4
NK_53
18.4
NK_54
18.3
NK_55
18.2
NK_56
18.1
NK_57
18.1
NK_58
18.0
NK_59
17.9
NK_60
17.9
NK_61
17.6
NK_62
17.6
NK_63
17.5
NK_64
17.4
NK_65
17.3
NK_66
17.2
NK_67
17.1
NK_68
16.9
NK_69
16.9
NK_70
16.8
NK_71
16.6
NK_72
16.6
NK_73
16.6
NK_74
16.5
NK_75
16.4
NK_76
16.3
NK_77
15.9
NK_78
15.8
NK_79
15.8
NK_80
15.7
NK_81
15.4
NK_82
15.2
NK_83
15.2
NK_84
14.9
NK_85
14.5
NK_86
14.3
NK_87
14.2
NK_88
14.0
NK_89
12.3
NK_90
11.0
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