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:
4.0
nTPM
Monaco:
32.1
nTPM
Schmiedel:
31.1
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.
4.0
HPA sample
nTPM
NK-cell nTPM: 4.0
Samples: 6
Max nTPM: 8.2
Min nTPM: 1.2
P10809_1013
3.5
P10809_1033
2.9
P10809_1052
3.8
P10809_1071
4.5
P10809_1093
8.2
P10809_1103
1.2
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.
32.1
Monaco sample
nTPM
NK-cell nTPM: 32.2
Samples: 4
Max nTPM: 41.3
Min nTPM: 27.2
RHH5316_R3683
27.2
RHH5224_R3596
30.1
RHH5253_R3625
41.3
RHH5282_R3654
30.0
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.
31.1
Schmiedel sample id
TPM
NK-cell TPM: 31.1
Samples: 90
Max TPM: 49.5
Min TPM: 21.5
NK_1
49.5
NK_2
46.9
NK_3
46.7
NK_4
46.5
NK_5
45.9
NK_6
44.6
NK_7
42.0
NK_8
41.7
NK_9
41.7
NK_10
39.8
NK_11
39.0
NK_12
38.2
NK_13
37.3
NK_14
37.1
NK_15
36.0
NK_16
36.0
NK_17
35.7
NK_18
35.3
NK_19
34.7
NK_20
34.5
NK_21
34.1
NK_22
34.0
NK_23
33.9
NK_24
33.9
NK_25
33.5
NK_26
33.3
NK_27
33.2
NK_28
33.2
NK_29
32.7
NK_30
32.6
NK_31
32.4
NK_32
32.4
NK_33
32.1
NK_34
31.8
NK_35
31.6
NK_36
31.6
NK_37
31.5
NK_38
31.5
NK_39
31.4
NK_40
31.3
NK_41
31.1
NK_42
30.6
NK_43
30.6
NK_44
30.5
NK_45
29.3
NK_46
29.2
NK_47
29.2
NK_48
29.1
NK_49
29.0
NK_50
28.9
NK_51
28.9
NK_52
28.8
NK_53
28.5
NK_54
28.5
NK_55
28.3
NK_56
28.1
NK_57
27.8
NK_58
27.8
NK_59
27.6
NK_60
27.3
NK_61
27.3
NK_62
27.3
NK_63
27.2
NK_64
27.2
NK_65
27.1
NK_66
27.1
NK_67
26.9
NK_68
26.8
NK_69
26.4
NK_70
26.1
NK_71
26.1
NK_72
25.8
NK_73
25.7
NK_74
25.6
NK_75
25.0
NK_76
24.9
NK_77
24.7
NK_78
24.7
NK_79
24.6
NK_80
24.5
NK_81
24.5
NK_82
24.2
NK_83
24.2
NK_84
24.1
NK_85
23.8
NK_86
23.8
NK_87
23.7
NK_88
22.9
NK_89
22.0
NK_90
21.5
Show allShow less
We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.