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:
355.9
nTPM
Monaco:
327.0
nTPM
Schmiedel:
49.7
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.
355.9
HPA sample
nTPM
NK-cell nTPM: 355.9
Samples: 6
Max nTPM: 480.5
Min nTPM: 223.1
P10809_1013
223.1
P10809_1033
384.1
P10809_1052
386.3
P10809_1071
404.9
P10809_1093
256.5
P10809_1103
480.5
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.
327.0
Monaco sample
nTPM
NK-cell nTPM: 327.0
Samples: 4
Max nTPM: 399.5
Min nTPM: 252.1
RHH5316_R3683
399.5
RHH5224_R3596
362.0
RHH5253_R3625
252.1
RHH5282_R3654
294.4
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.
49.7
Schmiedel sample id
TPM
NK-cell TPM: 49.7
Samples: 90
Max TPM: 75.0
Min TPM: 18.2
NK_1
75.0
NK_2
73.3
NK_3
72.7
NK_4
72.3
NK_5
71.5
NK_6
69.8
NK_7
69.7
NK_8
69.3
NK_9
69.0
NK_10
68.0
NK_11
68.0
NK_12
67.8
NK_13
66.8
NK_14
65.8
NK_15
65.7
NK_16
65.3
NK_17
64.7
NK_18
64.6
NK_19
64.1
NK_20
63.9
NK_21
62.9
NK_22
61.8
NK_23
61.5
NK_24
61.3
NK_25
61.0
NK_26
60.5
NK_27
60.3
NK_28
59.1
NK_29
57.6
NK_30
57.4
NK_31
56.7
NK_32
56.4
NK_33
55.2
NK_34
55.1
NK_35
54.0
NK_36
53.9
NK_37
53.8
NK_38
53.6
NK_39
53.3
NK_40
53.2
NK_41
53.0
NK_42
52.8
NK_43
52.6
NK_44
51.9
NK_45
51.7
NK_46
51.4
NK_47
50.4
NK_48
50.3
NK_49
50.3
NK_50
50.1
NK_51
50.0
NK_52
48.8
NK_53
48.5
NK_54
48.5
NK_55
47.1
NK_56
46.4
NK_57
43.4
NK_58
43.2
NK_59
42.2
NK_60
41.3
NK_61
41.1
NK_62
41.0
NK_63
40.8
NK_64
39.7
NK_65
39.0
NK_66
38.2
NK_67
38.2
NK_68
38.0
NK_69
37.4
NK_70
37.2
NK_71
37.0
NK_72
36.8
NK_73
36.1
NK_74
35.7
NK_75
35.4
NK_76
35.1
NK_77
32.8
NK_78
31.8
NK_79
31.8
NK_80
31.4
NK_81
29.6
NK_82
29.2
NK_83
29.1
NK_84
28.9
NK_85
28.0
NK_86
24.6
NK_87
23.3
NK_88
21.5
NK_89
18.4
NK_90
18.2
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