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:
8.2
nTPM
Monaco:
56.7
nTPM
Schmiedel:
29.5
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.
8.2
HPA sample
nTPM
NK-cell nTPM: 8.2
Samples: 6
Max nTPM: 12.3
Min nTPM: 4.6
P10809_1013
8.8
P10809_1033
12.3
P10809_1052
7.4
P10809_1071
6.0
P10809_1093
10.3
P10809_1103
4.6
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.
56.7
Monaco sample
nTPM
NK-cell nTPM: 56.7
Samples: 4
Max nTPM: 61.2
Min nTPM: 49.7
RHH5316_R3683
49.7
RHH5224_R3596
61.2
RHH5253_R3625
59.5
RHH5282_R3654
56.5
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.
29.5
Schmiedel sample id
TPM
NK-cell TPM: 29.5
Samples: 90
Max TPM: 39.8
Min TPM: 20.6
NK_1
39.8
NK_2
39.0
NK_3
38.4
NK_4
38.4
NK_5
38.1
NK_6
38.0
NK_7
36.6
NK_8
36.5
NK_9
35.5
NK_10
34.2
NK_11
34.2
NK_12
33.5
NK_13
33.4
NK_14
33.2
NK_15
32.7
NK_16
32.3
NK_17
32.2
NK_18
32.1
NK_19
32.0
NK_20
31.8
NK_21
31.6
NK_22
31.3
NK_23
31.3
NK_24
31.1
NK_25
31.1
NK_26
31.0
NK_27
30.7
NK_28
30.7
NK_29
30.6
NK_30
30.5
NK_31
30.4
NK_32
30.3
NK_33
30.1
NK_34
30.0
NK_35
29.8
NK_36
29.8
NK_37
29.8
NK_38
29.7
NK_39
29.7
NK_40
29.6
NK_41
29.6
NK_42
29.5
NK_43
29.5
NK_44
29.3
NK_45
29.3
NK_46
29.2
NK_47
29.2
NK_48
29.2
NK_49
29.1
NK_50
29.0
NK_51
28.8
NK_52
28.8
NK_53
28.6
NK_54
28.6
NK_55
28.5
NK_56
28.5
NK_57
28.5
NK_58
28.5
NK_59
28.4
NK_60
28.2
NK_61
28.2
NK_62
27.7
NK_63
27.5
NK_64
27.5
NK_65
27.5
NK_66
27.4
NK_67
26.9
NK_68
26.9
NK_69
26.8
NK_70
26.8
NK_71
26.4
NK_72
26.4
NK_73
26.2
NK_74
26.1
NK_75
26.0
NK_76
26.0
NK_77
25.7
NK_78
25.1
NK_79
25.1
NK_80
25.1
NK_81
24.6
NK_82
24.6
NK_83
24.5
NK_84
24.2
NK_85
24.1
NK_86
23.0
NK_87
22.8
NK_88
22.6
NK_89
22.2
NK_90
20.6
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