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.
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.
h
m
l
n
Adipocytes:
Not detected
Glandular cells:
Medium
Myoepithelial cells:
Low
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:
14631.3
nTPM
HPA:
4877.4
nTPM
GTEx:
14631.3
nTPM
BREAST - 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 HPA068400
Antibody CAB032215
Adipocytes
-
Not detected
Glandular cells
High
Medium
Myoepithelial cells
Not detected
Low
BREAST - 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 nTPMi
Max subtype nTPM is the value for the subtype with the largest average nTPM across the subtype samples.
4877.4
Female, age 52
Breast sample 373 nTPM: 3294.3
Cell types%
Glandular cells:
15
Adipocytes:
5
Other cell types:
80
Female, age 80
Breast sample 390 nTPM: 4397.1
Cell types%
Glandular cells:
5
Adipocytes:
15
Other cell types:
80
Female, age 47
Breast sample 405 nTPM: 6561.5
Cell types%
Glandular cells:
5
Adipocytes:
5
Other cell types:
90
Female, age 38
Breast sample 410 nTPM: 5256.5
Cell types%
Glandular cells:
40
Adipocytes:
5
Other cell types:
55
BREAST - GTEx RNA-seqi
RNA-Seq data generated by the Genotype-Tissue Expression (GTEx) project from human tissues is reported as mean nTPM. More information can be found on the GTEx portal.
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 with the largest average nTPM across the subtype samples.
14631.3
GTEx sample id
Sample description
nTPM
Breast - Mammary Tissue Average nTPM: 14631.3
Samples: 459
Max nTPM: 51673.9
Min nTPM: 2286.3
Std nTPM: 8313.1
Median nTPM: 12389.8
The Human Protein Atlas project is funded
