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:
9.5
nTPM
Monaco:
49.2
nTPM
Schmiedel:
18.4
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.
9.5
HPA sample
nTPM
NK-cell nTPM: 9.5
Samples: 6
Max nTPM: 17.7
Min nTPM: 0.4
P10809_1013
13.4
P10809_1033
7.7
P10809_1052
17.7
P10809_1071
11.8
P10809_1093
0.4
P10809_1103
6.1
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.
49.2
Monaco sample
nTPM
NK-cell nTPM: 49.2
Samples: 4
Max nTPM: 64.9
Min nTPM: 30.1
RHH5316_R3683
44.3
RHH5224_R3596
64.9
RHH5253_R3625
30.1
RHH5282_R3654
57.6
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.
18.4
Schmiedel sample id
TPM
NK-cell TPM: 18.4
Samples: 90
Max TPM: 29.7
Min TPM: 9.0
NK_1
29.7
NK_2
29.1
NK_3
28.2
NK_4
27.7
NK_5
27.1
NK_6
25.3
NK_7
24.9
NK_8
24.5
NK_9
24.3
NK_10
23.7
NK_11
23.7
NK_12
23.4
NK_13
23.2
NK_14
23.0
NK_15
22.9
NK_16
22.8
NK_17
22.3
NK_18
22.2
NK_19
22.0
NK_20
22.0
NK_21
21.5
NK_22
21.5
NK_23
21.3
NK_24
20.8
NK_25
20.6
NK_26
20.4
NK_27
20.4
NK_28
20.1
NK_29
19.8
NK_30
19.7
NK_31
19.6
NK_32
19.5
NK_33
19.3
NK_34
19.2
NK_35
18.9
NK_36
18.9
NK_37
18.7
NK_38
18.6
NK_39
18.5
NK_40
18.5
NK_41
18.4
NK_42
18.4
NK_43
18.3
NK_44
18.1
NK_45
18.0
NK_46
18.0
NK_47
17.9
NK_48
17.9
NK_49
17.8
NK_50
17.8
NK_51
17.7
NK_52
17.1
NK_53
17.0
NK_54
17.0
NK_55
16.9
NK_56
16.8
NK_57
16.6
NK_58
16.5
NK_59
16.2
NK_60
16.2
NK_61
16.1
NK_62
16.1
NK_63
16.0
NK_64
16.0
NK_65
15.8
NK_66
15.7
NK_67
15.6
NK_68
15.5
NK_69
15.2
NK_70
14.9
NK_71
14.8
NK_72
14.8
NK_73
14.8
NK_74
14.7
NK_75
14.7
NK_76
14.4
NK_77
14.2
NK_78
14.1
NK_79
14.1
NK_80
13.6
NK_81
13.3
NK_82
13.0
NK_83
12.8
NK_84
12.7
NK_85
12.1
NK_86
11.9
NK_87
11.8
NK_88
10.7
NK_89
10.5
NK_90
9.0
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