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:
15.4
nTPM
Monaco:
142.3
nTPM
Schmiedel:
115.7
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.
15.4
HPA sample
nTPM
NK-cell nTPM: 15.4
Samples: 6
Max nTPM: 26.8
Min nTPM: 9.2
P10809_1013
26.8
P10809_1033
16.4
P10809_1052
16.2
P10809_1071
10.9
P10809_1093
9.2
P10809_1103
12.9
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.
142.3
Monaco sample
nTPM
NK-cell nTPM: 142.3
Samples: 4
Max nTPM: 158.1
Min nTPM: 127.8
RHH5316_R3683
127.8
RHH5224_R3596
151.1
RHH5253_R3625
132.3
RHH5282_R3654
158.1
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.
115.7
Schmiedel sample id
TPM
NK-cell TPM: 115.7
Samples: 90
Max TPM: 183.7
Min TPM: 83.6
NK_1
183.7
NK_2
167.5
NK_3
167.4
NK_4
154.3
NK_5
153.4
NK_6
150.7
NK_7
142.8
NK_8
139.3
NK_9
138.7
NK_10
138.6
NK_11
137.2
NK_12
136.0
NK_13
134.6
NK_14
134.2
NK_15
133.5
NK_16
132.1
NK_17
130.6
NK_18
130.3
NK_19
130.0
NK_20
129.8
NK_21
129.1
NK_22
128.0
NK_23
125.9
NK_24
124.9
NK_25
124.2
NK_26
124.2
NK_27
123.6
NK_28
123.0
NK_29
121.2
NK_30
121.0
NK_31
119.9
NK_32
119.6
NK_33
119.4
NK_34
119.2
NK_35
119.0
NK_36
118.4
NK_37
117.9
NK_38
117.8
NK_39
117.7
NK_40
117.6
NK_41
117.4
NK_42
114.8
NK_43
114.7
NK_44
114.0
NK_45
113.7
NK_46
112.6
NK_47
111.9
NK_48
111.9
NK_49
111.0
NK_50
110.4
NK_51
110.2
NK_52
109.8
NK_53
109.4
NK_54
109.3
NK_55
109.0
NK_56
108.4
NK_57
108.3
NK_58
107.9
NK_59
106.1
NK_60
105.7
NK_61
105.6
NK_62
104.7
NK_63
104.5
NK_64
103.4
NK_65
102.7
NK_66
102.4
NK_67
102.2
NK_68
101.9
NK_69
101.1
NK_70
99.4
NK_71
99.2
NK_72
99.1
NK_73
97.9
NK_74
97.4
NK_75
96.7
NK_76
96.7
NK_77
96.2
NK_78
95.4
NK_79
95.2
NK_80
94.8
NK_81
94.5
NK_82
94.3
NK_83
94.2
NK_84
94.0
NK_85
90.8
NK_86
90.6
NK_87
89.9
NK_88
89.4
NK_89
85.4
NK_90
83.6
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.