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:
2.8
nTPM
Monaco:
17.1
nTPM
Schmiedel:
21.7
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.
2.8
HPA sample
nTPM
NK-cell nTPM: 2.8
Samples: 6
Max nTPM: 4.9
Min nTPM: 0.0
P10809_1013
2.5
P10809_1033
2.1
P10809_1052
4.7
P10809_1071
4.9
P10809_1093
2.4
P10809_1103
0.0
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.
17.1
Monaco sample
nTPM
NK-cell nTPM: 17.1
Samples: 4
Max nTPM: 19.7
Min nTPM: 14.3
RHH5316_R3683
17.9
RHH5224_R3596
14.3
RHH5253_R3625
19.7
RHH5282_R3654
16.4
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.
21.7
Schmiedel sample id
TPM
NK-cell TPM: 21.7
Samples: 90
Max TPM: 33.6
Min TPM: 9.1
NK_1
33.6
NK_2
32.7
NK_3
32.2
NK_4
31.3
NK_5
31.0
NK_6
31.0
NK_7
31.0
NK_8
31.0
NK_9
30.8
NK_10
30.1
NK_11
29.6
NK_12
29.5
NK_13
29.2
NK_14
28.7
NK_15
28.6
NK_16
27.7
NK_17
27.6
NK_18
27.3
NK_19
27.0
NK_20
27.0
NK_21
26.6
NK_22
26.6
NK_23
26.5
NK_24
25.8
NK_25
25.7
NK_26
25.3
NK_27
25.2
NK_28
25.2
NK_29
25.0
NK_30
24.9
NK_31
24.8
NK_32
24.4
NK_33
24.3
NK_34
24.2
NK_35
24.0
NK_36
23.1
NK_37
23.1
NK_38
23.0
NK_39
22.9
NK_40
22.7
NK_41
22.6
NK_42
22.4
NK_43
22.2
NK_44
21.9
NK_45
21.8
NK_46
21.6
NK_47
21.6
NK_48
21.1
NK_49
20.8
NK_50
20.6
NK_51
20.5
NK_52
20.4
NK_53
19.9
NK_54
19.8
NK_55
19.7
NK_56
19.6
NK_57
19.6
NK_58
19.2
NK_59
19.0
NK_60
18.6
NK_61
18.4
NK_62
18.3
NK_63
18.0
NK_64
17.9
NK_65
17.7
NK_66
17.6
NK_67
17.3
NK_68
17.2
NK_69
17.1
NK_70
16.9
NK_71
16.7
NK_72
16.2
NK_73
15.4
NK_74
15.4
NK_75
15.4
NK_76
15.4
NK_77
15.3
NK_78
14.5
NK_79
14.4
NK_80
14.2
NK_81
13.9
NK_82
13.2
NK_83
12.9
NK_84
12.6
NK_85
12.2
NK_86
11.5
NK_87
11.0
NK_88
10.9
NK_89
10.4
NK_90
9.1
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