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:
3.6
nTPM
Monaco:
36.9
nTPM
Schmiedel:
99.9
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.
3.6
HPA sample
nTPM
NK-cell nTPM: 3.6
Samples: 6
Max nTPM: 8.5
Min nTPM: 0.9
P10809_1013
4.8
P10809_1033
1.9
P10809_1052
2.0
P10809_1071
8.5
P10809_1093
0.9
P10809_1103
3.3
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.
36.9
Monaco sample
nTPM
NK-cell nTPM: 36.9
Samples: 4
Max nTPM: 47.6
Min nTPM: 26.4
RHH5316_R3683
26.4
RHH5224_R3596
47.6
RHH5253_R3625
44.2
RHH5282_R3654
29.4
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.
99.9
Schmiedel sample id
TPM
NK-cell TPM: 99.9
Samples: 90
Max TPM: 203.5
Min TPM: 68.7
NK_1
203.5
NK_2
200.4
NK_3
164.1
NK_4
155.5
NK_5
152.1
NK_6
151.6
NK_7
150.9
NK_8
148.5
NK_9
137.2
NK_10
135.1
NK_11
121.6
NK_12
120.1
NK_13
119.5
NK_14
119.5
NK_15
118.2
NK_16
116.6
NK_17
114.7
NK_18
114.3
NK_19
113.7
NK_20
113.5
NK_21
112.4
NK_22
111.7
NK_23
111.6
NK_24
110.8
NK_25
109.5
NK_26
109.1
NK_27
107.4
NK_28
105.9
NK_29
105.8
NK_30
104.6
NK_31
101.7
NK_32
99.8
NK_33
99.0
NK_34
98.3
NK_35
98.2
NK_36
97.8
NK_37
97.0
NK_38
96.1
NK_39
95.4
NK_40
95.4
NK_41
94.8
NK_42
94.4
NK_43
94.3
NK_44
93.8
NK_45
93.0
NK_46
92.7
NK_47
92.4
NK_48
90.5
NK_49
90.3
NK_50
90.1
NK_51
89.8
NK_52
89.8
NK_53
89.8
NK_54
89.7
NK_55
89.4
NK_56
88.7
NK_57
88.5
NK_58
87.7
NK_59
87.0
NK_60
86.2
NK_61
85.7
NK_62
85.5
NK_63
84.9
NK_64
84.5
NK_65
84.4
NK_66
83.9
NK_67
83.7
NK_68
83.5
NK_69
81.4
NK_70
81.1
NK_71
80.7
NK_72
80.5
NK_73
79.3
NK_74
79.2
NK_75
78.9
NK_76
76.9
NK_77
76.9
NK_78
76.8
NK_79
76.8
NK_80
76.6
NK_81
74.6
NK_82
74.1
NK_83
73.3
NK_84
72.5
NK_85
71.9
NK_86
70.9
NK_87
70.6
NK_88
69.6
NK_89
68.7
NK_90
68.7
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
