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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.
Consensus:
0.0
nTPM
HPA:
0.0
nTPM
FANTOM5:
73.4
Scaled Tags Per Million
LUNG - Annotated protein expression
Pending normal tissue analysis
LUNG - Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
Antibody HPA003130
Alveolar cells
Not detected
Macrophages
Not detected
LUNG - 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, including gender, age, a tissue section image and estimated fractions of cell types. nTPM (normalized transcripts per million) values give a quantification of the gene abundance which is comparable between different genes and samples.
Average nTPM
0.0
Female, age 71
Lung sample 164 nTPM: 0
Cell types%
Alveolar cells:
40
Bronchial epithelium:
5
Endothelial cells:
25
Macrophages:
10
Other cell types:
20
Male, age 57
Lung sample 165 nTPM: 0.1
Cell types%
Alveolar cells:
35
Bronchial epithelium:
5
Endothelial cells:
30
Macrophages:
10
Other cell types:
20
Female, age 71
Lung sample 166 nTPM: 0.1
Cell types%
Alveolar cells:
35
Bronchial epithelium:
10
Endothelial cells:
25
Macrophages:
10
Other cell types:
20
Female, age 74
Lung sample 167 nTPM: 0
Cell types%
Alveolar cells:
40
Bronchial epithelium:
0
Endothelial cells:
30
Macrophages:
15
Other cell types:
15
Female, age 73
Lung sample 168 nTPM: 0
Cell types%
Alveolar cells:
30
Bronchial epithelium:
5
Endothelial cells:
30
Macrophages:
10
Other cell types:
25
Male, age 74
Lung sample 376 nTPM: 0
Cell types%
Alveolar cells:
25
Bronchial epithelium:
0
Endothelial cells:
35
Macrophages:
5
Other cell types:
35
Female, age 70
Lung sample 379 nTPM: 0
Cell types%
Alveolar cells:
35
Bronchial epithelium:
5
Endothelial cells:
35
Macrophages:
5
Other cell types:
20
Female, age 75
Lung sample 387 nTPM: 0.1
Cell types%
Alveolar cells:
20
Bronchial epithelium:
10
Endothelial cells:
20
Macrophages:
10
Other cell types:
40
Male, age 63
Lung sample 406 nTPM: 0.1
Cell types%
Alveolar cells:
25
Bronchial epithelium:
5
Endothelial cells:
25
Macrophages:
15
Other cell types:
30
LUNG - 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.
The Human Protein Atlas project is funded
