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TISSUE PRIMARY DATA KIDNEY Show tissue menu
ADIPOSE TISSUE ADRENAL GLAND AMYGDALA APPENDIX BASAL GANGLIA BLOOD VESSEL BONE MARROW BREAST BRONCHUS 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
NASOPHARYNX ORAL MUCOSA OVARY PANCREAS PARATHYROID GLAND PITUITARY GLAND PLACENTA PROSTATE RECTUM RETINA SALIVARY GLAND SEMINAL VESICLE SKELETAL MUSCLE SKIN
SMALL INTESTINE SMOOTH MUSCLE SOFT TISSUE SPINAL CORD SPLEEN STOMACH TESTIS THYMUS THYROID GLAND TONGUE TONSIL URINARY BLADDER VAGINA
ANTIBODIES
AND
VALIDATION
Dictionary
Kidney
Tissue proteome
Kidney
Tissue methods
KIDNEY - Expression summary
Protein expression
Kidneyi

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
Cells in glomeruli: Medium
Cells in tubules: Medium
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:1014.1 nTPM
HPA:370.3 nTPM
GTEx:1014.1 nTPM
FANTOM5:98.4 Scaled Tags Per Million
KIDNEY - SINGLE CELL RNA EXPRESSION
Explore single cell type data

KIDNEY - 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.

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 CAB009561
Cells in glomeruli Medium
Cells in tubules Medium



KIDNEY - 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.

370.3
overview
Female, age 58
Kidney sample 55
nTPM: 259.9
Cell types%
Cells in tubules:
60

Cells in glomeruli:
20

Fibroblasts:
5

Other cell types:
15

overview
Female, age 67
Kidney sample 56
nTPM: 224.8
Cell types%
Cells in tubules:
70

Cells in glomeruli:
15

Fibroblasts:
10

Other cell types:
5

overview
Female, age 55
Kidney sample 57
nTPM: 213.6
Cell types%
Cells in tubules:
80

Cells in glomeruli:
10

Fibroblasts:
5

Other cell types:
5

overview
Male, age 46
Kidney sample 58
nTPM: 426.8
Cell types%
Cells in tubules:
60

Cells in glomeruli:
25

Fibroblasts:
5

Other cell types:
10

overview
Female, age 57
Kidney sample 358
nTPM: 387.3
Cell types%
Cells in tubules:
60

Cells in glomeruli:
10

Fibroblasts:
10

Other cell types:
20

overview
Male, age 78
Kidney sample 377
nTPM: 416.5
Cell types%
Cells in tubules:
65

Cells in glomeruli:
10

Fibroblasts:
5

Other cell types:
20

overview
Male, age 73
Kidney sample 380
nTPM: 846
Cell types%
Cells in tubules:
60

Cells in glomeruli:
10

Fibroblasts:
10

Other cell types:
20

overview
Female, age 59
Kidney sample 394
nTPM: 202.2
Cell types%
Cells in tubules:
65

Cells in glomeruli:
10

Fibroblasts:
10

Other cell types:
15

overview
Female, age 48
Kidney sample 414
nTPM: 355.5
Cell types%
Cells in tubules:
60

Cells in glomeruli:
5

Fibroblasts:
10

Other cell types:
25


KIDNEY - 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.

1014.1
GTEx sample id Sample description nTPM
Kidney - Cortex
Average nTPM: 831.8
Samples: 104

Max nTPM: 1750.0
Min nTPM: 449.0
Std nTPM: 220.1
Median nTPM: 775.0
GTEX-15DCD-1926-SM-HAV33 70-79 years, female 1750.0
GTEX-11TTK-1926-SM-5PNW8 60-69 years, female 1559.5
GTEX-1LH75-1326-SM-F2I1R 50-59 years, female 1556.6
GTEX-1JMPZ-1226-SM-ARU8Y 30-39 years, male 1330.6
GTEX-ZYT6-2226-SM-5GIC9 30-39 years, male 1277.5
GTEX-ZLFU-0926-SM-5P9F8 40-49 years, male 1210.7
GTEX-1399S-0526-SM-5IJG8 30-39 years, female 1193.2
GTEX-16XZY-1026-SM-HAV39 70-79 years, male 1170.4
GTEX-13RTJ-2226-SM-5S2Q1 60-69 years, male 1105.8
GTEX-17F97-1926-SM-7IGM4 50-59 years, male 1103.7
GTEX-1CB4J-1926-SM-7MGX8 60-69 years, male 1095.2
GTEX-1N2DW-1826-SM-EAZ54 50-59 years, male 1090.5
GTEX-11OF3-1326-SM-5N9FJ 60-69 years, male 1071.6
GTEX-1O9I2-1926-SM-F2TBQ 50-59 years, male 1069.2
GTEX-QLQW-1626-SM-CMKFE 30-39 years, male 1056.9
GTEX-T6MN-1826-SM-EXOHN 50-59 years, male 1051.3
GTEX-1JMQK-1926-SM-CJI3B 60-69 years, male 1027.0
GTEX-1QP6S-1526-SM-EXUSG 40-49 years, male 1026.5
GTEX-ZXG5-2026-SM-HAUZV 60-69 years, male 1005.2
GTEX-13NYB-1726-SM-5N9G2 40-49 years, male 1002.4
GTEX-1PWST-2226-SM-EVR3G 70-79 years, male 981.9
GTEX-1NV8Z-2226-SM-EXOJ2 60-69 years, male 978.0
GTEX-14C39-2126-SM-664OH 40-49 years, male 952.5
GTEX-14E6D-2526-SM-5YYA9 50-59 years, male 930.8
GTEX-13112-2126-SM-5GCO4 50-59 years, male 923.1
GTEX-QDT8-1726-SM-EYYV6 30-39 years, female 914.8
GTEX-1QAET-2126-SM-F2TBS 50-59 years, male 909.9
GTEX-13O1R-2526-SM-5N9FW 60-69 years, male 897.6
GTEX-ZDXO-0226-SM-4WKH7 60-69 years, male 897.4
GTEX-Y5V5-1226-SM-EYYVP 60-69 years, female 894.8
GTEX-1MUQO-2526-SM-E9TJN 60-69 years, male 891.3
GTEX-1C6VQ-2326-SM-7IGN1 50-59 years, male 889.7
GTEX-1JMQJ-1726-SM-E9U4V 50-59 years, male 887.2
GTEX-O5YV-1226-SM-EV795 60-69 years, female 887.0
GTEX-1GF9W-1326-SM-7P8PX 60-69 years, male 877.0
GTEX-1JJE9-1026-SM-HL9TH 70-79 years, male 867.8
GTEX-WL46-1926-SM-GNIN6 50-59 years, male 865.8
GTEX-1GTWX-1826-SM-9QEHG 60-69 years, male 861.7
GTEX-13O3O-1726-SM-GJ3RL 60-69 years, female 857.2
GTEX-1R9PO-1626-SM-E6CPT 60-69 years, female 847.5
GTEX-1A3MW-2226-SM-73KUX 60-69 years, female 841.2
GTEX-T5JC-1526-SM-4DM68 20-29 years, male 840.2
GTEX-1RQEC-2426-SM-F2I1J 60-69 years, male 833.4
GTEX-1KWVE-0826-SM-CXZKO 30-39 years, male 823.1
GTEX-ZVZP-0926-SM-5GIDB 50-59 years, male 805.7
GTEX-1J1OQ-1426-SM-AHZ3P 40-49 years, female 798.8
GTEX-1GN1U-2126-SM-AHZ4J 50-59 years, female 793.0
GTEX-ZE9C-1426-SM-4WKGM 60-69 years, male 791.5
GTEX-QDVN-1726-SM-HL9TO 50-59 years, male 789.5
GTEX-1E2YA-1626-SM-7MGXS 50-59 years, male 786.4
GTEX-16XZZ-2226-SM-HAV34 60-69 years, male 782.1
GTEX-1IL2V-1826-SM-ARU7R 70-79 years, male 781.8
GTEX-1BAJH-1826-SM-731DA 70-79 years, male 768.2
GTEX-1I1GP-1926-SM-CNNQU 50-59 years, male 764.4
GTEX-147F4-2626-SM-5Q5CS 50-59 years, male 762.1
GTEX-17HHY-2326-SM-7KFSR 50-59 years, male 759.7
GTEX-13FHP-2126-SM-GIN8J 50-59 years, male 759.1
GTEX-14PJ2-1826-SM-HL9UB 50-59 years, male 757.0
GTEX-1HB9E-1826-SM-D4P33 50-59 years, male 752.2
GTEX-1ICLY-2026-SM-GA913 50-59 years, male 749.5
GTEX-1F48J-2226-SM-7MXTN 50-59 years, female 748.5
GTEX-XPVG-0526-SM-4B65N 50-59 years, male 738.2
GTEX-W5X1-1626-SM-H7OGO 40-49 years, female 732.6
GTEX-145MN-0326-SM-5QGQI 30-39 years, male 731.1
GTEX-17F96-1926-SM-7MGWY 70-79 years, male 730.6
GTEX-14JG1-2326-SM-HAUZ5 40-49 years, male 726.2
GTEX-REY6-1826-SM-EAZAT 60-69 years, male 725.9
GTEX-1117F-2126-SM-GIN9G 60-69 years, female 725.1
GTEX-RN64-1626-SM-48FD7 50-59 years, male 722.9
GTEX-1HBPI-2026-SM-CE6RZ 50-59 years, male 721.3
GTEX-1A8FM-2026-SM-7P8RN 50-59 years, female 714.9
GTEX-S33H-1426-SM-EZ6L7 30-39 years, male 710.2
GTEX-1N2EF-1426-SM-EXUSH 60-69 years, male 707.7
GTEX-NFK9-1826-SM-HL9T3 40-49 years, male 707.0
GTEX-1OJC4-2326-SM-DTXA5 50-59 years, female 706.3
GTEX-15CHQ-2126-SM-6871M 60-69 years, male 697.3
GTEX-1GF9V-1926-SM-9JGHE 60-69 years, male 684.5
GTEX-14C5O-2026-SM-5YYB1 60-69 years, male 682.3
GTEX-1AX8Z-2326-SM-731CR 60-69 years, male 672.7
GTEX-1LG7Y-2726-SM-D5OVW 50-59 years, male 672.0
GTEX-1H3VY-1926-SM-9JGHJ 50-59 years, male 663.1
GTEX-ZYFG-1626-SM-5GZYY 60-69 years, female 660.0
GTEX-16Z82-2826-SM-HAUZZ 60-69 years, male 659.4
GTEX-ZC5H-1726-SM-5HL7X 40-49 years, female 655.6
GTEX-1HCVE-2126-SM-HL9UO 50-59 years, male 654.1
GTEX-12696-0926-SM-5FQTV 60-69 years, male 649.1
GTEX-1JJ6O-2526-SM-AHZ3J 60-69 years, male 649.0
GTEX-13OVI-1126-SM-5KLZF 60-69 years, female 648.7
GTEX-15DYW-2026-SM-6AJBD 60-69 years, female 644.9
GTEX-Y5V6-2026-SM-5IFHO 60-69 years, male 644.3
GTEX-13OVL-1826-SM-5KLZR 50-59 years, male 639.4
GTEX-P4QS-1126-SM-3NMD5 60-69 years, male 638.9
GTEX-1497J-0826-SM-5NQAJ 60-69 years, male 637.8
GTEX-1EKGG-2226-SM-7IGOA 60-69 years, male 636.5
GTEX-1H3NZ-2126-SM-9WPQ6 60-69 years, male 626.6
GTEX-16MT8-1926-SM-7EPGL 60-69 years, female 619.2
GTEX-11GS4-2326-SM-5A5KS 60-69 years, male 614.3
GTEX-1GMR3-2426-SM-7MXV2 40-49 years, male 600.9
GTEX-1IKK5-0926-SM-A9G2U 60-69 years, male 580.1
GTEX-13OW6-1826-SM-5N9F9 50-59 years, male 579.8
GTEX-1JMLX-1526-SM-AHZ3N 50-59 years, male 576.1
GTEX-1K9T9-1826-SM-CXZK2 50-59 years, female 534.6
GTEX-12WSG-0826-SM-5EQ5A 50-59 years, female 487.6
GTEX-1HCU7-1826-SM-A9G2A 50-59 years, male 449.0
Show allShow less
Kidney - Medulla
Average nTPM: 1014.1
Samples: 11

Max nTPM: 2365.2
Min nTPM: 674.2
Std nTPM: 472.1
Median nTPM: 829.5
GTEX-QEG5-2026-SM-H6Q6I 20-29 years, male 2365.2
GTEX-N7MS-1526-SM-HAUZP 60-69 years, male 1391.0
GTEX-SIU8-1926-SM-H7OG4 50-59 years, male 1065.0
GTEX-RU72-1926-SM-EAZ3F 50-59 years, female 1014.6
GTEX-T5JC-1626-SM-EZ6KW 20-29 years, male 849.4
GTEX-T6MN-1926-SM-GOQYD 50-59 years, male 829.5
GTEX-QEG4-1526-SM-GPRWK 30-39 years, male 797.8
GTEX-R55E-2026-SM-EZ6L1 20-29 years, male 764.0
GTEX-TKQ2-0626-SM-EZ6LB 50-59 years, male 730.0
GTEX-P4QS-1226-SM-HPAG8 60-69 years, male 674.6
GTEX-S33H-1526-SM-GQ1CB 30-39 years, male 674.2
Show allShow less

KIDNEY - 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.

98.4
FANTOM5 sample id Sample description Scaled Tags Per Million
Kidney
Scaled Tags Per Million: 98.4
FF:10017-101C8 60,62,63 years, female 98.4

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