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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: High
Cells in tubules: High
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:801.6 nTPM
HPA:801.6 nTPM
GTEx:586.0 nTPM
FANTOM5:1132.4 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 HPA004426Antibody CAB004647
Cells in glomeruli HighHigh
Cells in tubules HighMedium





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.

801.6
overview
Female, age 58
Kidney sample 55
nTPM: 840.5
Cell types%
Cells in tubules:
60

Cells in glomeruli:
20

Fibroblasts:
5

Other cell types:
15

overview
Female, age 67
Kidney sample 56
nTPM: 783.1
Cell types%
Cells in tubules:
70

Cells in glomeruli:
15

Fibroblasts:
10

Other cell types:
5

overview
Female, age 55
Kidney sample 57
nTPM: 657.9
Cell types%
Cells in tubules:
80

Cells in glomeruli:
10

Fibroblasts:
5

Other cell types:
5

overview
Male, age 46
Kidney sample 58
nTPM: 823.6
Cell types%
Cells in tubules:
60

Cells in glomeruli:
25

Fibroblasts:
5

Other cell types:
10

overview
Female, age 57
Kidney sample 358
nTPM: 638
Cell types%
Cells in tubules:
60

Cells in glomeruli:
10

Fibroblasts:
10

Other cell types:
20

overview
Male, age 78
Kidney sample 377
nTPM: 899.4
Cell types%
Cells in tubules:
65

Cells in glomeruli:
10

Fibroblasts:
5

Other cell types:
20

overview
Male, age 73
Kidney sample 380
nTPM: 1055.8
Cell types%
Cells in tubules:
60

Cells in glomeruli:
10

Fibroblasts:
10

Other cell types:
20

overview
Female, age 59
Kidney sample 394
nTPM: 848
Cell types%
Cells in tubules:
65

Cells in glomeruli:
10

Fibroblasts:
10

Other cell types:
15

overview
Female, age 48
Kidney sample 414
nTPM: 668.2
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.

586.0
GTEx sample id Sample description nTPM
Kidney - Cortex
Average nTPM: 586.0
Samples: 104

Max nTPM: 834.9
Min nTPM: 333.0
Std nTPM: 112.1
Median nTPM: 582.3
GTEX-11TTK-1926-SM-5PNW8 60-69 years, female 834.9
GTEX-QDVN-1726-SM-HL9TO 50-59 years, male 811.8
GTEX-1EKGG-2226-SM-7IGOA 60-69 years, male 803.0
GTEX-145MN-0326-SM-5QGQI 30-39 years, male 794.3
GTEX-13OVI-1126-SM-5KLZF 60-69 years, female 792.0
GTEX-1JMQK-1926-SM-CJI3B 60-69 years, male 777.4
GTEX-T6MN-1826-SM-EXOHN 50-59 years, male 772.3
GTEX-QLQW-1626-SM-CMKFE 30-39 years, male 765.9
GTEX-Y5V6-2026-SM-5IFHO 60-69 years, male 765.3
GTEX-14PJ2-1826-SM-HL9UB 50-59 years, male 758.9
GTEX-17F96-1926-SM-7MGWY 70-79 years, male 742.6
GTEX-W5X1-1626-SM-H7OGO 40-49 years, female 737.3
GTEX-1PWST-2226-SM-EVR3G 70-79 years, male 731.3
GTEX-ZLFU-0926-SM-5P9F8 40-49 years, male 728.8
GTEX-ZYT6-2226-SM-5GIC9 30-39 years, male 719.7
GTEX-1117F-2126-SM-GIN9G 60-69 years, female 715.1
GTEX-1ICLY-2026-SM-GA913 50-59 years, male 711.6
GTEX-1MUQO-2526-SM-E9TJN 60-69 years, male 709.9
GTEX-1IKK5-0926-SM-A9G2U 60-69 years, male 709.7
GTEX-147F4-2626-SM-5Q5CS 50-59 years, male 692.9
GTEX-1N2DW-1826-SM-EAZ54 50-59 years, male 677.1
GTEX-1JMLX-1526-SM-AHZ3N 50-59 years, male 667.6
GTEX-1KWVE-0826-SM-CXZKO 30-39 years, male 664.8
GTEX-P4QS-1126-SM-3NMD5 60-69 years, male 660.5
GTEX-14JG1-2326-SM-HAUZ5 40-49 years, male 660.2
GTEX-1A8FM-2026-SM-7P8RN 50-59 years, female 657.0
GTEX-1497J-0826-SM-5NQAJ 60-69 years, male 655.1
GTEX-12WSG-0826-SM-5EQ5A 50-59 years, female 654.8
GTEX-1A3MW-2226-SM-73KUX 60-69 years, female 651.5
GTEX-1GN1U-2126-SM-AHZ4J 50-59 years, female 651.5
GTEX-ZYFG-1626-SM-5GZYY 60-69 years, female 649.1
GTEX-ZVZP-0926-SM-5GIDB 50-59 years, male 642.3
GTEX-1399S-0526-SM-5IJG8 30-39 years, female 640.6
GTEX-1QAET-2126-SM-F2TBS 50-59 years, male 634.5
GTEX-13FHP-2126-SM-GIN8J 50-59 years, male 632.1
GTEX-1AX8Z-2326-SM-731CR 60-69 years, male 628.1
GTEX-1QP6S-1526-SM-EXUSG 40-49 years, male 627.3
GTEX-1JMPZ-1226-SM-ARU8Y 30-39 years, male 625.7
GTEX-1GF9V-1926-SM-9JGHE 60-69 years, male 622.6
GTEX-14C5O-2026-SM-5YYB1 60-69 years, male 616.2
GTEX-1H3NZ-2126-SM-9WPQ6 60-69 years, male 613.6
GTEX-15CHQ-2126-SM-6871M 60-69 years, male 612.4
GTEX-ZC5H-1726-SM-5HL7X 40-49 years, female 607.2
GTEX-1C6VQ-2326-SM-7IGN1 50-59 years, male 606.3
GTEX-1HB9E-1826-SM-D4P33 50-59 years, male 605.4
GTEX-13O1R-2526-SM-5N9FW 60-69 years, male 599.6
GTEX-Y5V5-1226-SM-EYYVP 60-69 years, female 595.9
GTEX-T5JC-1526-SM-4DM68 20-29 years, male 593.9
GTEX-1NV8Z-2226-SM-EXOJ2 60-69 years, male 591.5
GTEX-13RTJ-2226-SM-5S2Q1 60-69 years, male 587.3
GTEX-1GMR3-2426-SM-7MXV2 40-49 years, male 584.7
GTEX-15DCD-1926-SM-HAV33 70-79 years, female 584.3
GTEX-XPVG-0526-SM-4B65N 50-59 years, male 580.3
GTEX-16XZZ-2226-SM-HAV34 60-69 years, male 577.9
GTEX-11GS4-2326-SM-5A5KS 60-69 years, male 577.3
GTEX-1H3VY-1926-SM-9JGHJ 50-59 years, male 576.4
GTEX-11OF3-1326-SM-5N9FJ 60-69 years, male 573.8
GTEX-1R9PO-1626-SM-E6CPT 60-69 years, female 573.7
GTEX-NFK9-1826-SM-HL9T3 40-49 years, male 572.6
GTEX-1LG7Y-2726-SM-D5OVW 50-59 years, male 569.2
GTEX-13O3O-1726-SM-GJ3RL 60-69 years, female 563.7
GTEX-16XZY-1026-SM-HAV39 70-79 years, male 563.3
GTEX-1HBPI-2026-SM-CE6RZ 50-59 years, male 559.7
GTEX-1I1GP-1926-SM-CNNQU 50-59 years, male 555.8
GTEX-1E2YA-1626-SM-7MGXS 50-59 years, male 554.7
GTEX-1BAJH-1826-SM-731DA 70-79 years, male 553.5
GTEX-13NYB-1726-SM-5N9G2 40-49 years, male 553.2
GTEX-17F97-1926-SM-7IGM4 50-59 years, male 548.5
GTEX-1JJE9-1026-SM-HL9TH 70-79 years, male 540.6
GTEX-1GF9W-1326-SM-7P8PX 60-69 years, male 537.9
GTEX-1RQEC-2426-SM-F2I1J 60-69 years, male 534.3
GTEX-1IL2V-1826-SM-ARU7R 70-79 years, male 525.5
GTEX-16MT8-1926-SM-7EPGL 60-69 years, female 524.6
GTEX-12696-0926-SM-5FQTV 60-69 years, male 515.8
GTEX-13OW6-1826-SM-5N9F9 50-59 years, male 510.5
GTEX-1N2EF-1426-SM-EXUSH 60-69 years, male 505.5
GTEX-14C39-2126-SM-664OH 40-49 years, male 502.2
GTEX-15DYW-2026-SM-6AJBD 60-69 years, female 499.5
GTEX-13OVL-1826-SM-5KLZR 50-59 years, male 496.9
GTEX-1JJ6O-2526-SM-AHZ3J 60-69 years, male 495.0
GTEX-1LH75-1326-SM-F2I1R 50-59 years, female 481.7
GTEX-1HCVE-2126-SM-HL9UO 50-59 years, male 480.1
GTEX-16Z82-2826-SM-HAUZZ 60-69 years, male 477.3
GTEX-1CB4J-1926-SM-7MGX8 60-69 years, male 474.4
GTEX-1HCU7-1826-SM-A9G2A 50-59 years, male 472.7
GTEX-QDT8-1726-SM-EYYV6 30-39 years, female 466.5
GTEX-REY6-1826-SM-EAZAT 60-69 years, male 466.3
GTEX-O5YV-1226-SM-EV795 60-69 years, female 462.5
GTEX-13112-2126-SM-5GCO4 50-59 years, male 461.1
GTEX-1J1OQ-1426-SM-AHZ3P 40-49 years, female 460.3
GTEX-ZXG5-2026-SM-HAUZV 60-69 years, male 460.2
GTEX-ZDXO-0226-SM-4WKH7 60-69 years, male 456.7
GTEX-1F48J-2226-SM-7MXTN 50-59 years, female 455.6
GTEX-14E6D-2526-SM-5YYA9 50-59 years, male 452.9
GTEX-ZE9C-1426-SM-4WKGM 60-69 years, male 451.0
GTEX-1JMQJ-1726-SM-E9U4V 50-59 years, male 450.1
GTEX-1GTWX-1826-SM-9QEHG 60-69 years, male 443.6
GTEX-1K9T9-1826-SM-CXZK2 50-59 years, female 428.8
GTEX-17HHY-2326-SM-7KFSR 50-59 years, male 396.4
GTEX-1OJC4-2326-SM-DTXA5 50-59 years, female 392.1
GTEX-S33H-1426-SM-EZ6L7 30-39 years, male 389.7
GTEX-1O9I2-1926-SM-F2TBQ 50-59 years, male 380.8
GTEX-RN64-1626-SM-48FD7 50-59 years, male 335.6
GTEX-WL46-1926-SM-GNIN6 50-59 years, male 333.0
Show allShow less
Kidney - Medulla
Average nTPM: 507.2
Samples: 11

Max nTPM: 668.8
Min nTPM: 362.1
Std nTPM: 101.2
Median nTPM: 488.1
GTEX-P4QS-1226-SM-HPAG8 60-69 years, male 668.8
GTEX-TKQ2-0626-SM-EZ6LB 50-59 years, male 665.9
GTEX-QEG4-1526-SM-GPRWK 30-39 years, male 616.1
GTEX-S33H-1526-SM-GQ1CB 30-39 years, male 541.9
GTEX-SIU8-1926-SM-H7OG4 50-59 years, male 501.6
GTEX-QEG5-2026-SM-H6Q6I 20-29 years, male 488.1
GTEX-T5JC-1626-SM-EZ6KW 20-29 years, male 477.7
GTEX-R55E-2026-SM-EZ6L1 20-29 years, male 444.5
GTEX-T6MN-1926-SM-GOQYD 50-59 years, male 437.6
GTEX-N7MS-1526-SM-HAUZP 60-69 years, male 375.3
GTEX-RU72-1926-SM-EAZ3F 50-59 years, female 362.1
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.

1132.4
FANTOM5 sample id Sample description Scaled Tags Per Million
Kidney
Scaled Tags Per Million: 1132.4
FF:10017-101C8 60,62,63 years, female 1132.4

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