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:
11.5
nTPM
Monaco:
32.8
nTPM
Schmiedel:
42.8
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.
11.5
HPA sample
nTPM
NK-cell nTPM: 11.5
Samples: 6
Max nTPM: 16.4
Min nTPM: 4.7
P10809_1013
13.5
P10809_1033
13.2
P10809_1052
4.7
P10809_1071
16.4
P10809_1093
6.0
P10809_1103
15.0
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.
32.8
Monaco sample
nTPM
NK-cell nTPM: 32.8
Samples: 4
Max nTPM: 39.8
Min nTPM: 28.6
RHH5316_R3683
33.6
RHH5224_R3596
28.6
RHH5253_R3625
29.3
RHH5282_R3654
39.8
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.
42.8
Schmiedel sample id
TPM
NK-cell TPM: 42.8
Samples: 90
Max TPM: 59.0
Min TPM: 33.1
NK_1
59.0
NK_2
56.9
NK_3
56.1
NK_4
54.0
NK_5
53.8
NK_6
53.4
NK_7
52.4
NK_8
51.9
NK_9
51.5
NK_10
51.4
NK_11
51.2
NK_12
48.7
NK_13
48.1
NK_14
47.5
NK_15
47.4
NK_16
47.3
NK_17
46.8
NK_18
45.9
NK_19
45.9
NK_20
45.5
NK_21
45.4
NK_22
45.3
NK_23
45.0
NK_24
44.9
NK_25
44.6
NK_26
44.4
NK_27
44.3
NK_28
44.2
NK_29
44.1
NK_30
44.0
NK_31
44.0
NK_32
43.9
NK_33
43.9
NK_34
43.6
NK_35
43.3
NK_36
43.0
NK_37
42.9
NK_38
42.8
NK_39
42.7
NK_40
42.4
NK_41
42.4
NK_42
42.2
NK_43
42.2
NK_44
42.2
NK_45
42.0
NK_46
41.9
NK_47
41.9
NK_48
41.9
NK_49
41.8
NK_50
41.8
NK_51
41.7
NK_52
41.4
NK_53
41.0
NK_54
41.0
NK_55
40.9
NK_56
40.9
NK_57
40.9
NK_58
40.8
NK_59
40.7
NK_60
40.6
NK_61
40.3
NK_62
40.3
NK_63
40.3
NK_64
40.0
NK_65
40.0
NK_66
39.7
NK_67
39.5
NK_68
39.2
NK_69
39.2
NK_70
39.0
NK_71
38.7
NK_72
38.7
NK_73
38.4
NK_74
38.2
NK_75
38.0
NK_76
37.9
NK_77
37.9
NK_78
37.7
NK_79
37.4
NK_80
37.4
NK_81
36.9
NK_82
36.8
NK_83
36.3
NK_84
35.9
NK_85
35.9
NK_86
34.7
NK_87
34.6
NK_88
33.9
NK_89
33.4
NK_90
33.1
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.