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:
5405.4
nTPM
Monaco:
398.7
nTPM
Schmiedel:
79.6
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.
5405.4
HPA sample
nTPM
NK-cell nTPM: 5405.4
Samples: 6
Max nTPM: 7003.2
Min nTPM: 2143.2
P10809_1013
5558.0
P10809_1033
7003.2
P10809_1052
5862.8
P10809_1071
5891.2
P10809_1093
2143.2
P10809_1103
5973.9
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.
398.7
Monaco sample
nTPM
NK-cell nTPM: 398.7
Samples: 4
Max nTPM: 463.5
Min nTPM: 294.3
RHH5316_R3683
398.0
RHH5224_R3596
294.3
RHH5253_R3625
439.0
RHH5282_R3654
463.5
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.
79.6
Schmiedel sample id
TPM
NK-cell TPM: 79.6
Samples: 90
Max TPM: 117.8
Min TPM: 48.7
NK_1
117.8
NK_2
112.2
NK_3
107.7
NK_4
106.7
NK_5
104.8
NK_6
104.1
NK_7
103.6
NK_8
103.4
NK_9
101.6
NK_10
99.8
NK_11
98.6
NK_12
93.9
NK_13
93.4
NK_14
93.1
NK_15
93.1
NK_16
92.8
NK_17
91.7
NK_18
91.4
NK_19
91.1
NK_20
90.9
NK_21
90.0
NK_22
89.6
NK_23
89.5
NK_24
89.5
NK_25
87.0
NK_26
86.7
NK_27
85.6
NK_28
85.5
NK_29
85.0
NK_30
84.9
NK_31
84.9
NK_32
83.8
NK_33
83.1
NK_34
82.8
NK_35
82.3
NK_36
82.3
NK_37
82.2
NK_38
82.0
NK_39
81.1
NK_40
80.7
NK_41
80.7
NK_42
79.8
NK_43
79.0
NK_44
78.6
NK_45
78.2
NK_46
77.9
NK_47
77.5
NK_48
77.0
NK_49
76.9
NK_50
76.3
NK_51
76.0
NK_52
76.0
NK_53
76.0
NK_54
75.2
NK_55
74.4
NK_56
74.2
NK_57
74.0
NK_58
74.0
NK_59
73.3
NK_60
73.3
NK_61
72.2
NK_62
71.7
NK_63
71.4
NK_64
71.1
NK_65
70.9
NK_66
70.9
NK_67
70.7
NK_68
69.5
NK_69
69.1
NK_70
68.9
NK_71
68.1
NK_72
67.8
NK_73
67.5
NK_74
67.4
NK_75
67.1
NK_76
66.3
NK_77
66.3
NK_78
66.3
NK_79
63.9
NK_80
63.2
NK_81
62.8
NK_82
62.8
NK_83
61.2
NK_84
60.5
NK_85
58.6
NK_86
56.2
NK_87
54.6
NK_88
54.2
NK_89
53.1
NK_90
48.7
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.
The Human Protein Atlas project is funded
