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:
0.5
nTPM
Monaco:
5.9
nTPM
Schmiedel:
48.5
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.
0.5
HPA sample
nTPM
NK-cell nTPM: 0.5
Samples: 6
Max nTPM: 1.0
Min nTPM: 0.0
P10809_1013
1.0
P10809_1033
0.2
P10809_1052
0.5
P10809_1071
0.0
P10809_1093
0.7
P10809_1103
0.6
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.
5.9
Monaco sample
nTPM
NK-cell nTPM: 5.9
Samples: 4
Max nTPM: 7.6
Min nTPM: 3.9
RHH5316_R3683
7.2
RHH5224_R3596
7.6
RHH5253_R3625
4.9
RHH5282_R3654
3.9
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.
48.5
Schmiedel sample id
TPM
NK-cell TPM: 48.5
Samples: 90
Max TPM: 59.0
Min TPM: 31.5
NK_1
59.0
NK_2
58.5
NK_3
58.1
NK_4
57.7
NK_5
57.0
NK_6
56.9
NK_7
56.0
NK_8
55.4
NK_9
55.2
NK_10
54.7
NK_11
54.4
NK_12
54.3
NK_13
54.2
NK_14
53.7
NK_15
53.5
NK_16
53.5
NK_17
53.4
NK_18
52.9
NK_19
52.8
NK_20
52.7
NK_21
52.4
NK_22
52.3
NK_23
52.2
NK_24
52.2
NK_25
51.8
NK_26
51.8
NK_27
51.8
NK_28
51.7
NK_29
51.4
NK_30
51.1
NK_31
51.0
NK_32
50.9
NK_33
50.5
NK_34
50.5
NK_35
50.3
NK_36
50.1
NK_37
50.0
NK_38
49.9
NK_39
49.8
NK_40
49.5
NK_41
49.4
NK_42
49.2
NK_43
49.2
NK_44
49.0
NK_45
48.7
NK_46
48.3
NK_47
48.2
NK_48
48.2
NK_49
48.1
NK_50
48.0
NK_51
47.9
NK_52
47.8
NK_53
47.8
NK_54
47.8
NK_55
47.7
NK_56
47.6
NK_57
47.5
NK_58
47.4
NK_59
47.4
NK_60
47.0
NK_61
47.0
NK_62
47.0
NK_63
46.5
NK_64
45.9
NK_65
45.8
NK_66
45.7
NK_67
45.6
NK_68
45.4
NK_69
45.1
NK_70
44.6
NK_71
44.3
NK_72
43.5
NK_73
43.2
NK_74
43.0
NK_75
42.7
NK_76
42.5
NK_77
42.5
NK_78
42.5
NK_79
42.0
NK_80
41.9
NK_81
41.8
NK_82
41.7
NK_83
41.2
NK_84
41.0
NK_85
40.5
NK_86
40.1
NK_87
39.0
NK_88
38.8
NK_89
38.6
NK_90
31.5
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