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  • TISSUE

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TISSUE URINARY BLADDER Show tissue menu
ADIPOSE TISSUE ADRENAL GLAND AMYGDALA APPENDIX BASAL GANGLIA BLOOD VESSEL BONE MARROW BREAST CEREBELLUM CEREBRAL CORTEX CERVIX CHOROID PLEXUS COLON
DUODENUM ENDOMETRIUM EPIDIDYMIS ESOPHAGUS FALLOPIAN TUBE GALLBLADDER HEART MUSCLE HIPPOCAMPAL FORMATION HYPOTHALAMUS KIDNEY LIVER LUNG LYMPH NODE
MIDBRAIN OVARY PANCREAS PARATHYROID GLAND PITUITARY GLAND PLACENTA PROSTATE RECTUM RETINA SALIVARY GLAND SEMINAL VESICLE SKELETAL MUSCLE SKIN
SMALL INTESTINE SMOOTH MUSCLE SPINAL CORD SPLEEN STOMACH TESTIS THYMUS THYROID GLAND TONGUE TONSIL URINARY BLADDER VAGINA
Dictionary
Urinary bladder
Tissue proteome
Tissue methods
URINARY BLADDER - Expression summary
Protein expressioni

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 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.

Consensus:0.7 nTPM
HPA:0.7 nTPM
GTEx:0.5 nTPM
FANTOM5:8.9 Scaled Tags Per Million
URINARY BLADDER - SINGLE CELL RNA EXPRESSION
Explore single cell type data

URINARY BLADDER - Annotated protein expression
Pending normal tissue analysis

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.

0.7
overview
Male, age 74
Urinary bladder sample 264
nTPM: 0.4
Cell types%
Urothelial cells:
5

Smooth muscle cells:
60

Fibroblasts:
20

Endothelial cells:
10

Other cell types:
5

overview
Male, age 80
Urinary bladder sample 265
nTPM: 0.7
Cell types%
Urothelial cells:
10

Smooth muscle cells:
45

Fibroblasts:
15

Endothelial cells:
10

Other cell types:
20

N/A
Female, age 0.1
Urinary bladder sample 1597
nTPM: 0.7
N/A
Female, age 0.1
Urinary bladder sample 1598
nTPM: 0.8

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.

0.5
GTEx sample id Sample description nTPM
Bladder
Average nTPM: 0.5
Samples: 77

Max nTPM: 1.6
Min nTPM: 0.1
Std nTPM: 0.2
Median nTPM: 0.5
GTEX-SNOS-0526-SM-4DM54 40-49 years, male 1.6
GTEX-R53T-1426-SM-H7OG3 50-59 years, female 1.1
GTEX-OHPL-1926-SM-HAV18 60-69 years, female 1.0
GTEX-S4UY-0926-SM-4AD6O 40-49 years, female 1.0
GTEX-N7MT-1826-SM-GQ1C9 60-69 years, female 0.9
GTEX-OHPM-1926-SM-H7OG1 50-59 years, male 0.9
GTEX-OIZF-1926-SM-7PBZS 60-69 years, male 0.9
GTEX-PWCY-1126-SM-H7OGX 20-29 years, female 0.9
GTEX-PWN1-1926-SM-HAUZN 40-49 years, female 0.9
GTEX-U3ZN-1226-SM-4DXUD 30-39 years, female 0.9
GTEX-T6MO-0926-SM-GPRWN 40-49 years, female 0.8
GTEX-N7MS-2126-SM-GRR2X 60-69 years, male 0.7
GTEX-OIZH-1926-SM-GPRXO 50-59 years, male 0.7
GTEX-OOBK-1926-SM-HAUZL 40-49 years, male 0.7
GTEX-P4PP-1926-SM-HAUZM 30-39 years, female 0.7
GTEX-P78B-2126-SM-GQ1C3 40-49 years, female 0.7
GTEX-POMQ-0926-SM-H6Q6H 20-29 years, female 0.7
GTEX-PX3G-1926-SM-GQ1ED 20-29 years, female 0.7
GTEX-S3XE-1226-SM-4AD4L 50-59 years, male 0.7
GTEX-T5JW-1026-SM-EZ6LR 20-29 years, female 0.7
GTEX-U3ZH-0826-SM-H6Q7I 30-39 years, male 0.7
GTEX-PW2O-1026-SM-GPRWA 20-29 years, male 0.6
GTEX-QDVJ-1526-SM-GPI84 50-59 years, male 0.6
GTEX-QMRM-1326-SM-HAUYS 50-59 years, male 0.6
GTEX-QV44-1426-SM-GPI8D 50-59 years, male 0.6
GTEX-R55G-1326-SM-HAUYU 40-49 years, female 0.6
GTEX-S4Q7-0926-SM-4AD5D 20-29 years, male 0.6
GTEX-S7SF-1126-SM-GQ1CH 20-29 years, female 0.6
GTEX-SNMC-0826-SM-4DM66 20-29 years, male 0.6
GTEX-O5YT-1926-SM-H6Q82 20-29 years, male 0.5
GTEX-OIZI-1926-SM-H7OGY 40-49 years, male 0.5
GTEX-PLZ5-1326-SM-GQ1C2 50-59 years, male 0.5
GTEX-Q2AI-1026-SM-GRR3I 40-49 years, male 0.5
GTEX-QCQG-0826-SM-GPI8H 50-59 years, female 0.5
GTEX-QEG4-2126-SM-GQ1CE 30-39 years, male 0.5
GTEX-QLQW-0826-SM-H7OG2 30-39 years, male 0.5
GTEX-QXCU-2226-SM-GPI87 50-59 years, male 0.5
GTEX-S33H-1926-SM-EYYVH 30-39 years, male 0.5
GTEX-S95S-0626-SM-EZ6L8 60-69 years, male 0.5
GTEX-SUCS-1226-SM-GPI9A 70-79 years, male 0.5
GTEX-T6MN-2226-SM-EVYAM 50-59 years, male 0.5
GTEX-OOBJ-1926-SM-GRR1P 60-69 years, male 0.4
GTEX-P4QT-1926-SM-HAUYQ 50-59 years, female 0.4
GTEX-Q2AH-1326-SM-GPRWF 40-49 years, male 0.4
GTEX-QLQ7-1226-SM-GOQYE 60-69 years, male 0.4
GTEX-R55C-1226-SM-GOQY7 40-49 years, male 0.4
GTEX-REY6-2026-SM-GPRYL 60-69 years, male 0.4
GTEX-RUSQ-1326-SM-GQ1EA 50-59 years, male 0.4
GTEX-RWSA-2126-SM-H7OG7 40-49 years, male 0.4
GTEX-OHPK-1926-SM-H7OF2 50-59 years, female 0.3
GTEX-P4QS-1926-SM-GQ1BY 60-69 years, male 0.3
GTEX-Q734-1226-SM-GRR21 40-49 years, female 0.3
GTEX-QEG5-2326-SM-GRR2Z 20-29 years, male 0.3
GTEX-QV31-0926-SM-GQ1C6 30-39 years, male 0.3
GTEX-R45C-2426-SM-HL11G 60-69 years, female 0.3
GTEX-RN64-2426-SM-EZ6L2 50-59 years, male 0.3
GTEX-RNOR-2126-SM-EXURR 50-59 years, female 0.3
GTEX-S4P3-0826-SM-H7OF3 50-59 years, female 0.3
GTEX-SE5C-1026-SM-4BRUG 40-49 years, female 0.3
GTEX-TKQ2-0526-SM-GRR15 50-59 years, male 0.3
GTEX-U3ZM-0826-SM-4DXU6 40-49 years, male 0.3
GTEX-U4B1-1226-SM-4DXT7 40-49 years, male 0.3
GTEX-OXRK-1926-SM-GRR1N 50-59 years, female 0.2
GTEX-P44H-2226-SM-E9U4P 40-49 years, male 0.2
GTEX-P4PQ-1926-SM-GRR14 60-69 years, male 0.2
GTEX-PLZ6-1026-SM-GQ1C8 30-39 years, male 0.2
GTEX-QDVN-1426-SM-GPRWL 50-59 years, male 0.2
GTEX-QEL4-1826-SM-EZ6KU 50-59 years, male 0.2
GTEX-RM2N-1026-SM-GOQY8 50-59 years, male 0.2
GTEX-RWS6-1426-SM-GPRWQ 60-69 years, female 0.2
GTEX-T2IS-2526-SM-GRR23 20-29 years, female 0.2
GTEX-T5JC-1126-SM-GPIA1 20-29 years, male 0.2
GTEX-T8EM-1726-SM-GPRWO 40-49 years, male 0.2
GTEX-NPJ8-1126-SM-GNTAI 40-49 years, male 0.1
GTEX-QDT8-2826-SM-GOQYY 30-39 years, female 0.1
GTEX-S32W-1126-SM-4AD5V 50-59 years, female 0.1
GTEX-TMMY-1526-SM-4DXST 40-49 years, female 0.1
Show allShow less

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.

8.9
FANTOM5 sample id Sample description Scaled Tags Per Million
Bladder
Scaled Tags Per Million: 8.9
FF:10011-101C2 55,58,79 years, mixed 8.9

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