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:
35.2
nTPM
Monaco:
16.3
nTPM
Schmiedel:
11.2
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.
35.2
HPA sample
nTPM
NK-cell nTPM: 35.2
Samples: 6
Max nTPM: 68.9
Min nTPM: 0.2
P10809_1013
15.6
P10809_1033
68.9
P10809_1052
44.8
P10809_1071
37.4
P10809_1093
0.2
P10809_1103
44.2
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.
16.3
Monaco sample
nTPM
NK-cell nTPM: 16.3
Samples: 4
Max nTPM: 26.1
Min nTPM: 8.0
RHH5316_R3683
16.9
RHH5224_R3596
26.1
RHH5253_R3625
8.0
RHH5282_R3654
14.3
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.
11.2
Schmiedel sample id
TPM
NK-cell TPM: 11.2
Samples: 90
Max TPM: 17.7
Min TPM: 2.9
NK_1
17.7
NK_2
16.6
NK_3
16.5
NK_4
16.1
NK_5
15.5
NK_6
15.4
NK_7
15.3
NK_8
14.9
NK_9
14.9
NK_10
14.8
NK_11
14.6
NK_12
14.5
NK_13
14.3
NK_14
14.3
NK_15
14.3
NK_16
14.2
NK_17
14.2
NK_18
14.1
NK_19
14.0
NK_20
13.9
NK_21
13.9
NK_22
13.7
NK_23
13.7
NK_24
13.5
NK_25
13.5
NK_26
13.4
NK_27
13.2
NK_28
13.2
NK_29
13.1
NK_30
13.0
NK_31
13.0
NK_32
12.9
NK_33
12.9
NK_34
12.9
NK_35
12.8
NK_36
12.7
NK_37
12.6
NK_38
12.5
NK_39
12.3
NK_40
12.3
NK_41
12.2
NK_42
12.1
NK_43
11.8
NK_44
11.6
NK_45
11.5
NK_46
11.5
NK_47
11.3
NK_48
11.1
NK_49
11.0
NK_50
10.6
NK_51
10.6
NK_52
10.6
NK_53
10.6
NK_54
10.5
NK_55
10.4
NK_56
10.3
NK_57
10.3
NK_58
10.2
NK_59
10.2
NK_60
10.2
NK_61
10.1
NK_62
10.0
NK_63
10.0
NK_64
10.0
NK_65
9.8
NK_66
9.7
NK_67
9.5
NK_68
9.5
NK_69
9.4
NK_70
9.2
NK_71
9.1
NK_72
8.7
NK_73
8.0
NK_74
8.0
NK_75
7.3
NK_76
7.3
NK_77
7.3
NK_78
6.8
NK_79
6.4
NK_80
6.2
NK_81
6.2
NK_82
6.0
NK_83
5.9
NK_84
5.8
NK_85
5.7
NK_86
5.7
NK_87
5.4
NK_88
5.1
NK_89
4.9
NK_90
2.9
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.