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:
179.8
nTPM
Monaco:
131.3
nTPM
Schmiedel:
99.2
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.
179.8
HPA sample
nTPM
NK-cell nTPM: 179.9
Samples: 6
Max nTPM: 232.1
Min nTPM: 102.3
P10809_1013
102.3
P10809_1033
228.6
P10809_1052
207.1
P10809_1071
190.5
P10809_1093
118.5
P10809_1103
232.1
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.
131.3
Monaco sample
nTPM
NK-cell nTPM: 131.3
Samples: 4
Max nTPM: 160.2
Min nTPM: 73.4
RHH5316_R3683
152.4
RHH5224_R3596
160.2
RHH5253_R3625
73.4
RHH5282_R3654
139.1
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.
99.2
Schmiedel sample id
TPM
NK-cell TPM: 99.2
Samples: 90
Max TPM: 136.0
Min TPM: 48.4
NK_1
136.0
NK_2
134.0
NK_3
133.7
NK_4
132.4
NK_5
129.3
NK_6
127.8
NK_7
126.6
NK_8
123.6
NK_9
122.2
NK_10
119.8
NK_11
118.5
NK_12
116.5
NK_13
115.9
NK_14
113.9
NK_15
113.2
NK_16
113.0
NK_17
112.8
NK_18
111.8
NK_19
111.4
NK_20
111.3
NK_21
111.0
NK_22
111.0
NK_23
110.8
NK_24
110.7
NK_25
110.7
NK_26
109.7
NK_27
109.6
NK_28
109.4
NK_29
107.9
NK_30
106.7
NK_31
106.6
NK_32
106.2
NK_33
105.8
NK_34
105.8
NK_35
105.5
NK_36
104.3
NK_37
103.0
NK_38
102.8
NK_39
102.7
NK_40
102.0
NK_41
101.9
NK_42
101.2
NK_43
101.2
NK_44
101.0
NK_45
100.6
NK_46
100.4
NK_47
100.3
NK_48
100.0
NK_49
99.3
NK_50
99.2
NK_51
99.1
NK_52
98.9
NK_53
98.6
NK_54
98.4
NK_55
97.7
NK_56
97.7
NK_57
97.1
NK_58
97.1
NK_59
96.0
NK_60
95.4
NK_61
95.4
NK_62
94.1
NK_63
93.7
NK_64
91.6
NK_65
91.3
NK_66
89.4
NK_67
88.3
NK_68
88.0
NK_69
88.0
NK_70
87.5
NK_71
87.3
NK_72
85.8
NK_73
85.5
NK_74
85.4
NK_75
85.0
NK_76
84.4
NK_77
81.7
NK_78
80.0
NK_79
75.6
NK_80
73.5
NK_81
73.5
NK_82
72.3
NK_83
71.3
NK_84
69.8
NK_85
69.5
NK_86
65.8
NK_87
65.1
NK_88
57.2
NK_89
56.9
NK_90
48.4
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.