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:
9.9
nTPM
Monaco:
90.0
nTPM
Schmiedel:
62.4
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.
9.9
HPA sample
nTPM
NK-cell nTPM: 9.9
Samples: 6
Max nTPM: 19.6
Min nTPM: 6.2
P10809_1013
19.6
P10809_1033
6.2
P10809_1052
7.8
P10809_1071
8.3
P10809_1093
7.1
P10809_1103
10.5
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.
90.0
Monaco sample
nTPM
NK-cell nTPM: 90.1
Samples: 4
Max nTPM: 98.8
Min nTPM: 84.3
RHH5316_R3683
84.3
RHH5224_R3596
86.1
RHH5253_R3625
98.8
RHH5282_R3654
91.0
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.
62.4
Schmiedel sample id
TPM
NK-cell TPM: 62.4
Samples: 90
Max TPM: 86.3
Min TPM: 39.2
NK_1
86.3
NK_2
77.5
NK_3
76.7
NK_4
76.2
NK_5
76.1
NK_6
75.7
NK_7
74.2
NK_8
73.7
NK_9
73.6
NK_10
71.2
NK_11
70.7
NK_12
70.7
NK_13
70.6
NK_14
70.4
NK_15
70.4
NK_16
70.3
NK_17
69.8
NK_18
68.9
NK_19
68.6
NK_20
68.1
NK_21
68.0
NK_22
68.0
NK_23
67.9
NK_24
67.4
NK_25
67.3
NK_26
67.1
NK_27
66.0
NK_28
65.8
NK_29
65.6
NK_30
65.5
NK_31
65.5
NK_32
65.3
NK_33
65.2
NK_34
65.2
NK_35
65.1
NK_36
65.0
NK_37
65.0
NK_38
65.0
NK_39
64.0
NK_40
64.0
NK_41
63.0
NK_42
63.0
NK_43
63.0
NK_44
62.6
NK_45
62.5
NK_46
62.4
NK_47
62.2
NK_48
62.0
NK_49
62.0
NK_50
61.8
NK_51
61.8
NK_52
61.7
NK_53
61.5
NK_54
61.2
NK_55
60.9
NK_56
60.7
NK_57
60.3
NK_58
59.9
NK_59
59.7
NK_60
59.6
NK_61
58.9
NK_62
58.8
NK_63
58.8
NK_64
58.8
NK_65
58.5
NK_66
58.4
NK_67
57.7
NK_68
57.6
NK_69
57.2
NK_70
56.7
NK_71
56.5
NK_72
56.5
NK_73
55.0
NK_74
54.7
NK_75
54.2
NK_76
53.7
NK_77
53.4
NK_78
53.4
NK_79
53.2
NK_80
53.1
NK_81
52.9
NK_82
52.4
NK_83
52.2
NK_84
52.0
NK_85
49.4
NK_86
48.6
NK_87
48.5
NK_88
43.6
NK_89
42.0
NK_90
39.2
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.