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
Urothelial 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 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.
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.
Ascending and descending describe two types of gradient, based on difference in staining intensity between enterocytes in crypts and apical enterocytes.
Ascending - the staining intensity is stronger in apical enterocytes (towards the lumen) compared to enterocytes in the crypts (gland based)
Descending - the staining is weaker in apical enterocytes compared to enterocytes in crypts
Antibody HPA040520
Urothelial cells
Low
URINARY BLADDER - PROTEINTALKS DB MS
Median intensity
113434
Sample
Intensity
Urinary bladder_01
113434
URINARY BLADDER - 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.
164.7
Male, age 74
Urinary bladder sample 264 nTPM: 212.5
Cell types%
Urothelial cells:
5
Smooth muscle cells:
60
Fibroblasts:
20
Endothelial cells:
10
Other cell types:
5
Male, age 80
Urinary bladder sample 265 nTPM: 26.8
Cell types%
Urothelial cells:
10
Smooth muscle cells:
45
Fibroblasts:
15
Endothelial cells:
10
Other cell types:
20
Female, age 79
Urinary bladder sample 1597 nTPM: 234.6
Male, age 52
Urinary bladder sample 1598 nTPM: 185.1
URINARY BLADDER - 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.
550.6
GTEx sample id
Sample description
nTPM
Bladder Average nTPM: 550.6
Samples: 77
Max nTPM: 2261.2
Min nTPM: 105.7
Std nTPM: 366.4
Median nTPM: 504.9
GTEX-NPJ8-1126-SM-GNTAI
40-49 years, male
2261.2
GTEX-OXRK-1926-SM-GRR1N
50-59 years, female
1628.6
GTEX-P44H-2226-SM-E9U4P
40-49 years, male
1500.1
GTEX-T8EM-1726-SM-GPRWO
40-49 years, male
1166.3
GTEX-RNOR-2126-SM-EXURR
50-59 years, female
1161.7
GTEX-R45C-2426-SM-HL11G
60-69 years, female
997.9
GTEX-QDVN-1426-SM-GPRWL
50-59 years, male
975.6
GTEX-S32W-1126-SM-4AD5V
50-59 years, female
971.4
GTEX-RM2N-1026-SM-GOQY8
50-59 years, male
907.7
GTEX-QEG5-2326-SM-GRR2Z
20-29 years, male
879.9
GTEX-OIZF-1926-SM-7PBZS
60-69 years, male
876.8
GTEX-REY6-2026-SM-GPRYL
60-69 years, male
847.4
GTEX-S95S-0626-SM-EZ6L8
60-69 years, male
822.3
GTEX-QMRM-1326-SM-HAUYS
50-59 years, male
803.1
GTEX-TMMY-1526-SM-4DXST
40-49 years, female
781.9
GTEX-PLZ5-1326-SM-GQ1C2
50-59 years, male
772.5
GTEX-OOBJ-1926-SM-GRR1P
60-69 years, male
763.0
GTEX-RWS6-1426-SM-GPRWQ
60-69 years, female
757.0
GTEX-QDT8-2826-SM-GOQYY
30-39 years, female
746.1
GTEX-S4UY-0926-SM-4AD6O
40-49 years, female
745.5
GTEX-QEL4-1826-SM-EZ6KU
50-59 years, male
697.0
GTEX-T2IS-2526-SM-GRR23
20-29 years, female
677.4
GTEX-SUCS-1226-SM-GPI9A
70-79 years, male
657.8
GTEX-R55C-1226-SM-GOQY7
40-49 years, male
650.3
GTEX-S4Q7-0926-SM-4AD5D
20-29 years, male
644.0
GTEX-QCQG-0826-SM-GPI8H
50-59 years, female
635.8
GTEX-N7MT-1826-SM-GQ1C9
60-69 years, female
620.2
GTEX-OIZI-1926-SM-H7OGY
40-49 years, male
613.5
GTEX-QLQ7-1226-SM-GOQYE
60-69 years, male
604.8
GTEX-P4QT-1926-SM-HAUYQ
50-59 years, female
601.3
GTEX-P4QS-1926-SM-GQ1BY
60-69 years, male
577.2
GTEX-PW2O-1026-SM-GPRWA
20-29 years, male
576.5
GTEX-SE5C-1026-SM-4BRUG
40-49 years, female
565.2
GTEX-T6MN-2226-SM-EVYAM
50-59 years, male
561.5
GTEX-QXCU-2226-SM-GPI87
50-59 years, male
548.5
GTEX-P4PQ-1926-SM-GRR14
60-69 years, male
531.1
GTEX-Q2AI-1026-SM-GRR3I
40-49 years, male
511.4
GTEX-PWCY-1126-SM-H7OGX
20-29 years, female
505.0
GTEX-S4P3-0826-SM-H7OF3
50-59 years, female
504.9
GTEX-TKQ2-0526-SM-GRR15
50-59 years, male
491.5
GTEX-Q734-1226-SM-GRR21
40-49 years, female
478.7
GTEX-P78B-2126-SM-GQ1C3
40-49 years, female
459.2
GTEX-QV31-0926-SM-GQ1C6
30-39 years, male
435.3
GTEX-Q2AH-1326-SM-GPRWF
40-49 years, male
421.8
GTEX-PLZ6-1026-SM-GQ1C8
30-39 years, male
413.5
GTEX-QLQW-0826-SM-H7OG2
30-39 years, male
387.2
GTEX-OIZH-1926-SM-GPRXO
50-59 years, male
356.1
GTEX-QV44-1426-SM-GPI8D
50-59 years, male
349.2
GTEX-R55G-1326-SM-HAUYU
40-49 years, female
342.1
GTEX-U4B1-1226-SM-4DXT7
40-49 years, male
336.8
GTEX-T6MO-0926-SM-GPRWN
40-49 years, female
325.9
GTEX-U3ZM-0826-SM-4DXU6
40-49 years, male
318.1
GTEX-T5JW-1026-SM-EZ6LR
20-29 years, female
315.2
GTEX-QEG4-2126-SM-GQ1CE
30-39 years, male
314.3
GTEX-U3ZN-1226-SM-4DXUD
30-39 years, female
296.7
GTEX-S7SF-1126-SM-GQ1CH
20-29 years, female
295.0
GTEX-U3ZH-0826-SM-H6Q7I
30-39 years, male
293.9
GTEX-OHPK-1926-SM-H7OF2
50-59 years, female
280.0
GTEX-R53T-1426-SM-H7OG3
50-59 years, female
275.5
GTEX-S33H-1926-SM-EYYVH
30-39 years, male
271.1
GTEX-RWSA-2126-SM-H7OG7
40-49 years, male
264.7
GTEX-RUSQ-1326-SM-GQ1EA
50-59 years, male
253.9
GTEX-T5JC-1126-SM-GPIA1
20-29 years, male
251.1
GTEX-QDVJ-1526-SM-GPI84
50-59 years, male
246.9
GTEX-RN64-2426-SM-EZ6L2
50-59 years, male
239.5
GTEX-PX3G-1926-SM-GQ1ED
20-29 years, female
239.3
GTEX-N7MS-2126-SM-GRR2X
60-69 years, male
221.6
GTEX-S3XE-1226-SM-4AD4L
50-59 years, male
206.3
GTEX-OHPM-1926-SM-H7OG1
50-59 years, male
197.8
GTEX-P4PP-1926-SM-HAUZM
30-39 years, female
195.5
GTEX-PWN1-1926-SM-HAUZN
40-49 years, female
183.8
GTEX-O5YT-1926-SM-H6Q82
20-29 years, male
173.7
GTEX-OHPL-1926-SM-HAV18
60-69 years, female
151.2
GTEX-OOBK-1926-SM-HAUZL
40-49 years, male
133.8
GTEX-SNOS-0526-SM-4DM54
40-49 years, male
119.4
GTEX-SNMC-0826-SM-4DM66
20-29 years, male
108.0
GTEX-POMQ-0926-SM-H6Q6H
20-29 years, female
105.7
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URINARY BLADDER - 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.
Max subtype nTPM is the value for the subtype with the largest average nTPM across the subtype samples.
143.6
Macaque sample
Sample description
nTPM
Urinary bladder nTPM: 143.6
Samples: 3
Max nTPM: 215.7
Min nTPM: 103.2
Sample A
112.0
Sample B
103.2
Sample C
215.7
URINARY BLADDER - Pig RNA-seqi
RNA-seq data obtained from pig brain is reported as nTPM. Normal 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.
196.4
Pig sample
Sample description
nTPM
Urinary bladder nTPM: 196.4
Samples: 4
Max nTPM: 329.2
Min nTPM: 125.4
Sample A
Female
125.4
Sample B
Female
130.7
Sample C
Male
200.2
Sample D
Male
329.2
URINARY BLADDER - Mouse RNA-seqi
RNA-seq data obtained from mouse brain is reported as nTPM. Normal 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.
25.4
Mouse sample
Sample description
nTPM
Urinary bladder nTPM: 25.4
Samples: 4
Max nTPM: 37.1
Min nTPM: 14.9
Sample D
14.9
Sample A
37.1
Sample B
23.4
Sample C
26.2
URINARY BLADDER - Rat RNA-seq
Max subtype nTPMi
Max subtype nTPM is the value for the subtype with the largest average nTPM across the subtype samples.
0.5
Rat sample
Sample description
nTPM
Urinary bladder nTPM: 0.5
Samples: 4
Max nTPM: 1.0
Min nTPM: 0.3
Sample A
0.4
Sample A
1.0
Sample A
0.5
Sample A
0.3
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The Human Protein Atlas project is funded
