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:
51.3
nTPM
Monaco:
107.2
nTPM
Schmiedel:
120.5
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.
51.3
HPA sample
nTPM
NK-cell nTPM: 51.3
Samples: 6
Max nTPM: 62.8
Min nTPM: 32.2
P10809_1013
32.2
P10809_1033
57.3
P10809_1052
60.2
P10809_1071
45.4
P10809_1093
62.8
P10809_1103
49.8
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.
107.2
Monaco sample
nTPM
NK-cell nTPM: 107.2
Samples: 4
Max nTPM: 114.0
Min nTPM: 92.4
RHH5316_R3683
110.9
RHH5224_R3596
111.4
RHH5253_R3625
92.4
RHH5282_R3654
114.0
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.
120.5
Schmiedel sample id
TPM
NK-cell TPM: 120.5
Samples: 90
Max TPM: 155.9
Min TPM: 91.2
NK_1
155.9
NK_2
151.5
NK_3
151.3
NK_4
149.3
NK_5
148.2
NK_6
146.4
NK_7
143.0
NK_8
142.6
NK_9
140.9
NK_10
140.7
NK_11
138.6
NK_12
138.2
NK_13
136.3
NK_14
136.2
NK_15
136.0
NK_16
134.8
NK_17
133.9
NK_18
133.2
NK_19
131.6
NK_20
131.2
NK_21
130.8
NK_22
129.3
NK_23
129.0
NK_24
128.0
NK_25
126.9
NK_26
126.7
NK_27
126.3
NK_28
126.0
NK_29
125.7
NK_30
125.0
NK_31
124.7
NK_32
124.1
NK_33
123.8
NK_34
123.4
NK_35
123.2
NK_36
123.1
NK_37
122.4
NK_38
122.0
NK_39
121.8
NK_40
121.8
NK_41
121.6
NK_42
121.5
NK_43
121.3
NK_44
121.1
NK_45
120.9
NK_46
120.8
NK_47
119.3
NK_48
119.1
NK_49
118.7
NK_50
118.2
NK_51
117.9
NK_52
117.4
NK_53
116.3
NK_54
115.9
NK_55
114.5
NK_56
114.4
NK_57
114.3
NK_58
114.1
NK_59
113.9
NK_60
113.4
NK_61
112.8
NK_62
112.4
NK_63
111.9
NK_64
111.7
NK_65
111.6
NK_66
111.6
NK_67
111.5
NK_68
111.5
NK_69
111.3
NK_70
110.9
NK_71
109.7
NK_72
109.7
NK_73
109.6
NK_74
109.6
NK_75
109.0
NK_76
107.8
NK_77
106.3
NK_78
106.2
NK_79
105.6
NK_80
105.0
NK_81
104.0
NK_82
102.2
NK_83
99.6
NK_84
98.8
NK_85
98.3
NK_86
96.4
NK_87
95.4
NK_88
94.4
NK_89
93.2
NK_90
91.2
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