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:
5.9
nTPM
Monaco:
13.8
nTPM
Schmiedel:
12.6
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.
5.9
HPA sample
nTPM
NK-cell nTPM: 6.0
Samples: 6
Max nTPM: 9.5
Min nTPM: 3.6
P10809_1013
8.6
P10809_1033
4.7
P10809_1052
5.3
P10809_1071
9.5
P10809_1093
4.0
P10809_1103
3.6
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.
13.8
Monaco sample
nTPM
NK-cell nTPM: 13.8
Samples: 4
Max nTPM: 18.0
Min nTPM: 7.3
RHH5316_R3683
18.0
RHH5224_R3596
7.3
RHH5253_R3625
14.5
RHH5282_R3654
15.5
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.
12.6
Schmiedel sample id
TPM
NK-cell TPM: 12.6
Samples: 90
Max TPM: 30.6
Min TPM: 2.9
NK_1
30.6
NK_2
24.8
NK_3
23.8
NK_4
21.8
NK_5
21.3
NK_6
21.1
NK_7
20.7
NK_8
20.6
NK_9
20.3
NK_10
19.8
NK_11
19.6
NK_12
19.5
NK_13
19.2
NK_14
18.5
NK_15
18.5
NK_16
17.7
NK_17
17.6
NK_18
17.4
NK_19
17.2
NK_20
16.8
NK_21
16.7
NK_22
16.4
NK_23
15.6
NK_24
15.4
NK_25
15.4
NK_26
15.3
NK_27
15.1
NK_28
14.8
NK_29
14.5
NK_30
14.2
NK_31
13.9
NK_32
13.8
NK_33
13.7
NK_34
13.6
NK_35
13.5
NK_36
13.4
NK_37
13.3
NK_38
13.2
NK_39
12.9
NK_40
12.7
NK_41
12.7
NK_42
12.5
NK_43
12.4
NK_44
12.2
NK_45
11.9
NK_46
11.9
NK_47
11.8
NK_48
11.7
NK_49
11.5
NK_50
11.5
NK_51
11.4
NK_52
11.3
NK_53
11.2
NK_54
10.9
NK_55
10.8
NK_56
10.8
NK_57
10.7
NK_58
10.6
NK_59
10.5
NK_60
10.3
NK_61
10.2
NK_62
10.1
NK_63
10.0
NK_64
9.7
NK_65
9.5
NK_66
9.0
NK_67
9.0
NK_68
9.0
NK_69
8.6
NK_70
8.6
NK_71
8.4
NK_72
8.4
NK_73
7.9
NK_74
7.5
NK_75
7.5
NK_76
7.3
NK_77
7.3
NK_78
6.7
NK_79
6.2
NK_80
6.1
NK_81
5.6
NK_82
5.2
NK_83
5.1
NK_84
4.6
NK_85
4.3
NK_86
4.2
NK_87
3.6
NK_88
3.3
NK_89
3.1
NK_90
2.9
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