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:
41.5
nTPM
Monaco:
23.8
nTPM
Schmiedel:
15.0
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.
41.5
HPA sample
nTPM
NK-cell nTPM: 41.4
Samples: 6
Max nTPM: 66.4
Min nTPM: 2.6
P10809_1013
36.6
P10809_1033
66.4
P10809_1052
41.4
P10809_1071
48.1
P10809_1093
2.6
P10809_1103
53.6
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.
23.8
Monaco sample
nTPM
NK-cell nTPM: 23.8
Samples: 4
Max nTPM: 29.0
Min nTPM: 14.9
RHH5316_R3683
29.0
RHH5224_R3596
29.0
RHH5253_R3625
14.9
RHH5282_R3654
22.4
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.
15.0
Schmiedel sample id
TPM
NK-cell TPM: 15.0
Samples: 90
Max TPM: 21.5
Min TPM: 9.7
NK_1
21.5
NK_2
21.4
NK_3
20.9
NK_4
20.2
NK_5
20.2
NK_6
19.9
NK_7
19.0
NK_8
18.8
NK_9
18.7
NK_10
18.6
NK_11
18.6
NK_12
18.2
NK_13
18.2
NK_14
18.1
NK_15
18.1
NK_16
17.8
NK_17
17.7
NK_18
17.3
NK_19
17.3
NK_20
17.3
NK_21
17.2
NK_22
16.9
NK_23
16.7
NK_24
16.7
NK_25
16.7
NK_26
16.6
NK_27
16.6
NK_28
16.4
NK_29
16.3
NK_30
16.2
NK_31
16.2
NK_32
16.1
NK_33
16.1
NK_34
16.1
NK_35
15.9
NK_36
15.9
NK_37
15.6
NK_38
15.3
NK_39
15.1
NK_40
14.9
NK_41
14.8
NK_42
14.8
NK_43
14.7
NK_44
14.6
NK_45
14.6
NK_46
14.5
NK_47
14.5
NK_48
14.4
NK_49
14.4
NK_50
14.3
NK_51
14.2
NK_52
14.2
NK_53
14.2
NK_54
14.2
NK_55
14.2
NK_56
13.9
NK_57
13.9
NK_58
13.8
NK_59
13.8
NK_60
13.6
NK_61
13.5
NK_62
13.5
NK_63
13.3
NK_64
13.2
NK_65
13.1
NK_66
13.0
NK_67
12.7
NK_68
12.6
NK_69
12.6
NK_70
12.6
NK_71
12.6
NK_72
12.5
NK_73
12.4
NK_74
12.3
NK_75
12.2
NK_76
12.2
NK_77
12.1
NK_78
12.1
NK_79
12.1
NK_80
12.1
NK_81
12.0
NK_82
12.0
NK_83
11.6
NK_84
11.6
NK_85
11.5
NK_86
11.5
NK_87
11.4
NK_88
10.9
NK_89
10.7
NK_90
9.7
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