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:
1.8
nTPM
Monaco:
13.7
nTPM
Schmiedel:
17.9
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.
1.8
HPA sample
nTPM
NK-cell nTPM: 1.8
Samples: 6
Max nTPM: 2.7
Min nTPM: 0.7
P10809_1013
2.3
P10809_1033
0.7
P10809_1052
1.7
P10809_1071
1.4
P10809_1093
2.7
P10809_1103
2.0
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.
13.7
Monaco sample
nTPM
NK-cell nTPM: 13.7
Samples: 4
Max nTPM: 14.4
Min nTPM: 13.3
RHH5316_R3683
13.3
RHH5224_R3596
13.3
RHH5253_R3625
13.9
RHH5282_R3654
14.4
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.
17.9
Schmiedel sample id
TPM
NK-cell TPM: 17.9
Samples: 90
Max TPM: 42.6
Min TPM: 11.3
NK_1
42.6
NK_2
36.7
NK_3
34.5
NK_4
28.8
NK_5
27.7
NK_6
26.4
NK_7
24.2
NK_8
24.1
NK_9
23.9
NK_10
23.7
NK_11
23.7
NK_12
23.6
NK_13
23.1
NK_14
23.1
NK_15
22.2
NK_16
22.1
NK_17
22.0
NK_18
21.8
NK_19
21.7
NK_20
21.5
NK_21
20.3
NK_22
20.0
NK_23
19.9
NK_24
19.8
NK_25
19.5
NK_26
19.4
NK_27
19.3
NK_28
19.3
NK_29
19.2
NK_30
19.2
NK_31
18.9
NK_32
18.8
NK_33
18.1
NK_34
17.9
NK_35
17.8
NK_36
17.7
NK_37
17.5
NK_38
17.0
NK_39
17.0
NK_40
16.9
NK_41
16.8
NK_42
16.7
NK_43
16.6
NK_44
16.5
NK_45
16.5
NK_46
16.5
NK_47
16.4
NK_48
16.2
NK_49
16.1
NK_50
16.0
NK_51
15.9
NK_52
15.9
NK_53
15.7
NK_54
15.6
NK_55
15.5
NK_56
15.4
NK_57
15.3
NK_58
15.2
NK_59
15.0
NK_60
15.0
NK_61
14.9
NK_62
14.5
NK_63
14.5
NK_64
14.3
NK_65
14.2
NK_66
14.1
NK_67
14.1
NK_68
14.0
NK_69
13.9
NK_70
13.9
NK_71
13.8
NK_72
13.8
NK_73
13.7
NK_74
13.5
NK_75
13.5
NK_76
13.5
NK_77
13.4
NK_78
13.2
NK_79
13.1
NK_80
13.0
NK_81
12.8
NK_82
12.7
NK_83
12.6
NK_84
12.6
NK_85
12.5
NK_86
12.5
NK_87
12.2
NK_88
11.8
NK_89
11.6
NK_90
11.3
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