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:
29.5
nTPM
Monaco:
63.1
nTPM
Schmiedel:
18.3
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.
29.5
HPA sample
nTPM
NK-cell nTPM: 29.5
Samples: 6
Max nTPM: 42.2
Min nTPM: 19.6
P10809_1013
19.6
P10809_1033
27.1
P10809_1052
21.8
P10809_1071
32.4
P10809_1093
33.7
P10809_1103
42.2
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.
63.1
Monaco sample
nTPM
NK-cell nTPM: 63.1
Samples: 4
Max nTPM: 69.7
Min nTPM: 59.5
RHH5316_R3683
60.1
RHH5224_R3596
59.5
RHH5253_R3625
69.7
RHH5282_R3654
63.2
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.
18.3
Schmiedel sample id
TPM
NK-cell TPM: 18.3
Samples: 90
Max TPM: 33.4
Min TPM: 9.5
NK_1
33.4
NK_2
26.5
NK_3
26.3
NK_4
26.3
NK_5
25.8
NK_6
25.5
NK_7
25.0
NK_8
24.3
NK_9
23.9
NK_10
23.9
NK_11
23.8
NK_12
22.9
NK_13
22.2
NK_14
22.1
NK_15
22.0
NK_16
21.8
NK_17
21.8
NK_18
21.7
NK_19
21.5
NK_20
21.5
NK_21
21.3
NK_22
21.2
NK_23
21.0
NK_24
20.9
NK_25
20.8
NK_26
20.6
NK_27
20.1
NK_28
20.1
NK_29
20.0
NK_30
19.6
NK_31
19.3
NK_32
19.2
NK_33
19.1
NK_34
19.1
NK_35
19.1
NK_36
19.0
NK_37
18.9
NK_38
18.8
NK_39
18.7
NK_40
18.6
NK_41
18.4
NK_42
18.1
NK_43
18.1
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
17.4
NK_51
17.4
NK_52
17.3
NK_53
17.1
NK_54
17.1
NK_55
17.0
NK_56
16.9
NK_57
16.8
NK_58
16.7
NK_59
16.6
NK_60
16.5
NK_61
16.4
NK_62
16.4
NK_63
15.9
NK_64
15.9
NK_65
15.8
NK_66
15.5
NK_67
15.5
NK_68
15.5
NK_69
15.5
NK_70
15.3
NK_71
15.3
NK_72
15.1
NK_73
14.7
NK_74
14.7
NK_75
14.6
NK_76
14.2
NK_77
14.0
NK_78
13.9
NK_79
13.9
NK_80
13.8
NK_81
13.6
NK_82
12.7
NK_83
12.6
NK_84
12.5
NK_85
12.4
NK_86
12.4
NK_87
12.3
NK_88
11.5
NK_89
9.5
NK_90
9.5
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