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On the top, protein expression in current human tissue, based on all annotated cell types, is reported with the units not detected (n), low (l), medium (m) and high (h). Underneath, protein expression in each annotated cell type are reported using the same units.
Protein expression data is based on knowledge-based annotation. For genes where more than one antibody has been used, a collective score is set.
If knowledge-based annotation could not be performed for a gene, no data is displayed here. View antibody staining data further down this page.
No data
RNA expressioni
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 are based on RNA-seq data generated by the Human Protein Atlas (HPA), and for mouse, HPA data and in situ hybridization generated by the Allen brain atlas are reported.
Scroll down to view mRNA expression data in more detail.
HPA Brain:
4.4
nTPM
FANTOM5:
3.3
Scaled Tags Per Million
MEDULLA OBLONGATA - Annotated protein expression
Pending normal tissue analysis
MEDULLA OBLONGATA - HPA Brain RNA-seq
Max subtype nTPMi
Max subtype nTPM is the value for the subtype with the largest average nTPM across the subtype samples.
Ventrolateral medulla, A1-C1 cell groups nTPM: 3.9
2118
Male, age 80, both hemispheres
5.0
2302
Female, age 91, both hemispheres
4.0
2741
Female, age 85, both hemispheres
3.8
1986
Male, age 76, both hemispheres
3.4
2180
Male, age 61, both hemispheres
3.4
MEDULLA OBLONGATA - FANTOM5 CAGEi
RNA expression in human tissues obtained through Cap Analysis of Gene Expression (CAGE) generated by the FANTOM5 project are reported as Scaled Tags Per Million.
Max subtype Scaled Tags Per Millioni
Max subtype Scaled Tags Per Million is the value for the subtype with the largest average Scaled Tags Per Million across the subtype samples.