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:
5.8
nTPM
Monaco:
33.8
nTPM
Schmiedel:
37.2
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.
5.8
HPA sample
nTPM
NK-cell nTPM: 5.8
Samples: 6
Max nTPM: 9.6
Min nTPM: 0.2
P10809_1013
6.4
P10809_1033
5.2
P10809_1052
9.6
P10809_1071
6.8
P10809_1093
0.2
P10809_1103
6.6
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.
33.8
Monaco sample
nTPM
NK-cell nTPM: 33.8
Samples: 4
Max nTPM: 49.5
Min nTPM: 26.4
RHH5316_R3683
31.1
RHH5224_R3596
49.5
RHH5253_R3625
26.4
RHH5282_R3654
28.1
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.
37.2
Schmiedel sample id
TPM
NK-cell TPM: 37.2
Samples: 90
Max TPM: 48.1
Min TPM: 26.7
NK_1
48.1
NK_2
46.3
NK_3
46.2
NK_4
45.4
NK_5
45.2
NK_6
44.8
NK_7
44.5
NK_8
44.2
NK_9
44.1
NK_10
44.0
NK_11
43.3
NK_12
42.9
NK_13
42.7
NK_14
42.3
NK_15
42.0
NK_16
41.9
NK_17
41.9
NK_18
41.7
NK_19
41.7
NK_20
41.6
NK_21
41.4
NK_22
41.3
NK_23
41.3
NK_24
41.2
NK_25
41.0
NK_26
40.3
NK_27
39.6
NK_28
39.3
NK_29
39.0
NK_30
39.0
NK_31
38.7
NK_32
38.3
NK_33
38.3
NK_34
38.2
NK_35
38.0
NK_36
38.0
NK_37
37.9
NK_38
37.9
NK_39
37.7
NK_40
37.6
NK_41
37.6
NK_42
37.4
NK_43
37.1
NK_44
37.0
NK_45
36.4
NK_46
36.3
NK_47
36.1
NK_48
36.0
NK_49
35.9
NK_50
35.7
NK_51
35.7
NK_52
35.6
NK_53
35.5
NK_54
35.3
NK_55
35.1
NK_56
34.9
NK_57
34.6
NK_58
34.6
NK_59
34.4
NK_60
34.3
NK_61
34.1
NK_62
34.1
NK_63
34.1
NK_64
34.0
NK_65
33.8
NK_66
33.7
NK_67
33.7
NK_68
33.6
NK_69
33.5
NK_70
33.2
NK_71
33.1
NK_72
33.1
NK_73
33.1
NK_74
32.9
NK_75
32.8
NK_76
32.7
NK_77
32.6
NK_78
32.5
NK_79
32.0
NK_80
32.0
NK_81
31.9
NK_82
31.8
NK_83
31.6
NK_84
31.1
NK_85
31.1
NK_86
31.1
NK_87
30.9
NK_88
30.2
NK_89
29.1
NK_90
26.7
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