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:
44.5
nTPM
Monaco:
5.9
nTPM
Schmiedel:
34.2
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.
44.5
HPA sample
nTPM
NK-cell nTPM: 44.5
Samples: 6
Max nTPM: 65.0
Min nTPM: 23.0
P10809_1013
45.5
P10809_1033
46.7
P10809_1052
29.4
P10809_1071
23.0
P10809_1093
57.2
P10809_1103
65.0
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: 11.1
Min nTPM: 2.4
RHH5316_R3683
4.9
RHH5224_R3596
11.1
RHH5253_R3625
2.4
RHH5282_R3654
5.1
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.
34.2
Schmiedel sample id
TPM
NK-cell TPM: 34.2
Samples: 90
Max TPM: 75.0
Min TPM: 10.8
NK_1
75.0
NK_2
70.2
NK_3
65.1
NK_4
55.5
NK_5
54.6
NK_6
54.4
NK_7
54.1
NK_8
50.7
NK_9
50.4
NK_10
50.0
NK_11
48.5
NK_12
47.7
NK_13
47.4
NK_14
44.7
NK_15
43.9
NK_16
43.6
NK_17
43.3
NK_18
43.3
NK_19
41.9
NK_20
41.0
NK_21
40.2
NK_22
40.1
NK_23
39.9
NK_24
39.9
NK_25
39.9
NK_26
39.5
NK_27
39.3
NK_28
39.1
NK_29
38.2
NK_30
38.2
NK_31
37.0
NK_32
36.9
NK_33
36.3
NK_34
36.2
NK_35
35.9
NK_36
35.9
NK_37
35.1
NK_38
34.9
NK_39
34.8
NK_40
33.2
NK_41
33.2
NK_42
32.3
NK_43
32.1
NK_44
32.0
NK_45
32.0
NK_46
31.9
NK_47
31.7
NK_48
31.7
NK_49
31.4
NK_50
30.9
NK_51
30.7
NK_52
30.7
NK_53
30.6
NK_54
30.5
NK_55
30.3
NK_56
30.1
NK_57
30.1
NK_58
29.7
NK_59
29.0
NK_60
28.8
NK_61
28.7
NK_62
28.6
NK_63
28.4
NK_64
28.3
NK_65
28.3
NK_66
27.4
NK_67
26.7
NK_68
26.6
NK_69
26.4
NK_70
26.4
NK_71
26.3
NK_72
25.6
NK_73
24.7
NK_74
24.4
NK_75
23.5
NK_76
23.4
NK_77
22.7
NK_78
22.7
NK_79
22.5
NK_80
22.3
NK_81
21.1
NK_82
20.6
NK_83
20.3
NK_84
19.4
NK_85
19.0
NK_86
16.3
NK_87
16.0
NK_88
15.0
NK_89
11.7
NK_90
10.8
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