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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: Low
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:731.9 nTPM
HPA:731.9 nTPM
GTEx:563.2 nTPM
FANTOM5:820.6 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 HPA007730Antibody CAB004682
Cells in glomeruli LowLow
Cells in tubules MediumMedium





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.

731.9
overview
Female, age 58
Kidney sample 55
nTPM: 571.1
Cell types%
Cells in tubules:
60

Cells in glomeruli:
20

Fibroblasts:
5

Other cell types:
15

overview
Female, age 67
Kidney sample 56
nTPM: 525.7
Cell types%
Cells in tubules:
70

Cells in glomeruli:
15

Fibroblasts:
10

Other cell types:
5

overview
Female, age 55
Kidney sample 57
nTPM: 359.4
Cell types%
Cells in tubules:
80

Cells in glomeruli:
10

Fibroblasts:
5

Other cell types:
5

overview
Male, age 46
Kidney sample 58
nTPM: 557.5
Cell types%
Cells in tubules:
60

Cells in glomeruli:
25

Fibroblasts:
5

Other cell types:
10

overview
Female, age 57
Kidney sample 358
nTPM: 930.5
Cell types%
Cells in tubules:
60

Cells in glomeruli:
10

Fibroblasts:
10

Other cell types:
20

overview
Male, age 78
Kidney sample 377
nTPM: 743.7
Cell types%
Cells in tubules:
65

Cells in glomeruli:
10

Fibroblasts:
5

Other cell types:
20

overview
Male, age 73
Kidney sample 380
nTPM: 1414.3
Cell types%
Cells in tubules:
60

Cells in glomeruli:
10

Fibroblasts:
10

Other cell types:
20

overview
Female, age 59
Kidney sample 394
nTPM: 671.5
Cell types%
Cells in tubules:
65

Cells in glomeruli:
10

Fibroblasts:
10

Other cell types:
15

overview
Female, age 48
Kidney sample 414
nTPM: 813.3
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.

563.2
GTEx sample id Sample description nTPM
Kidney - Cortex
Average nTPM: 524.7
Samples: 104

Max nTPM: 1087.1
Min nTPM: 227.6
Std nTPM: 168.7
Median nTPM: 508.0
GTEX-QDVN-1726-SM-HL9TO 50-59 years, male 1087.1
GTEX-1JMPZ-1226-SM-ARU8Y 30-39 years, male 919.5
GTEX-13NYB-1726-SM-5N9G2 40-49 years, male 919.0
GTEX-QLQW-1626-SM-CMKFE 30-39 years, male 868.9
GTEX-1QAET-2126-SM-F2TBS 50-59 years, male 865.7
GTEX-14E6D-2526-SM-5YYA9 50-59 years, male 847.6
GTEX-T6MN-1826-SM-EXOHN 50-59 years, male 839.3
GTEX-1497J-0826-SM-5NQAJ 60-69 years, male 806.2
GTEX-1H3VY-1926-SM-9JGHJ 50-59 years, male 788.2
GTEX-WL46-1926-SM-GNIN6 50-59 years, male 778.2
GTEX-REY6-1826-SM-EAZAT 60-69 years, male 771.8
GTEX-P4QS-1126-SM-3NMD5 60-69 years, male 735.0
GTEX-1K9T9-1826-SM-CXZK2 50-59 years, female 723.3
GTEX-1O9I2-1926-SM-F2TBQ 50-59 years, male 716.3
GTEX-1117F-2126-SM-GIN9G 60-69 years, female 715.6
GTEX-NFK9-1826-SM-HL9T3 40-49 years, male 705.1
GTEX-Y5V6-2026-SM-5IFHO 60-69 years, male 686.4
GTEX-11OF3-1326-SM-5N9FJ 60-69 years, male 685.6
GTEX-1KWVE-0826-SM-CXZKO 30-39 years, male 676.2
GTEX-14C5O-2026-SM-5YYB1 60-69 years, male 666.2
GTEX-1JMQJ-1726-SM-E9U4V 50-59 years, male 665.9
GTEX-1JMQK-1926-SM-CJI3B 60-69 years, male 663.8
GTEX-12WSG-0826-SM-5EQ5A 50-59 years, female 662.6
GTEX-1R9PO-1626-SM-E6CPT 60-69 years, female 657.8
GTEX-1N2EF-1426-SM-EXUSH 60-69 years, male 654.7
GTEX-XPVG-0526-SM-4B65N 50-59 years, male 648.4
GTEX-13O1R-2526-SM-5N9FW 60-69 years, male 628.5
GTEX-1PWST-2226-SM-EVR3G 70-79 years, male 620.6
GTEX-1RQEC-2426-SM-F2I1J 60-69 years, male 620.0
GTEX-1ICLY-2026-SM-GA913 50-59 years, male 615.4
GTEX-1NV8Z-2226-SM-EXOJ2 60-69 years, male 598.3
GTEX-16MT8-1926-SM-7EPGL 60-69 years, female 597.8
GTEX-145MN-0326-SM-5QGQI 30-39 years, male 588.0
GTEX-1CB4J-1926-SM-7MGX8 60-69 years, male 577.9
GTEX-QDT8-1726-SM-EYYV6 30-39 years, female 565.5
GTEX-15DCD-1926-SM-HAV33 70-79 years, female 558.4
GTEX-17HHY-2326-SM-7KFSR 50-59 years, male 555.6
GTEX-12696-0926-SM-5FQTV 60-69 years, male 549.1
GTEX-ZYFG-1626-SM-5GZYY 60-69 years, female 544.6
GTEX-O5YV-1226-SM-EV795 60-69 years, female 542.0
GTEX-1HB9E-1826-SM-D4P33 50-59 years, male 541.7
GTEX-1MUQO-2526-SM-E9TJN 60-69 years, male 539.6
GTEX-1J1OQ-1426-SM-AHZ3P 40-49 years, female 539.5
GTEX-16XZZ-2226-SM-HAV34 60-69 years, male 535.8
GTEX-17F96-1926-SM-7MGWY 70-79 years, male 526.1
GTEX-1JJE9-1026-SM-HL9TH 70-79 years, male 520.4
GTEX-ZC5H-1726-SM-5HL7X 40-49 years, female 519.8
GTEX-1H3NZ-2126-SM-9WPQ6 60-69 years, male 518.3
GTEX-1GTWX-1826-SM-9QEHG 60-69 years, male 513.8
GTEX-ZLFU-0926-SM-5P9F8 40-49 years, male 509.2
GTEX-1GMR3-2426-SM-7MXV2 40-49 years, male 508.2
GTEX-S33H-1426-SM-EZ6L7 30-39 years, male 508.2
GTEX-13RTJ-2226-SM-5S2Q1 60-69 years, male 507.8
GTEX-14JG1-2326-SM-HAUZ5 40-49 years, male 504.4
GTEX-1GF9W-1326-SM-7P8PX 60-69 years, male 490.5
GTEX-1HCVE-2126-SM-HL9UO 50-59 years, male 490.1
GTEX-14C39-2126-SM-664OH 40-49 years, male 483.8
GTEX-1AX8Z-2326-SM-731CR 60-69 years, male 478.0
GTEX-1F48J-2226-SM-7MXTN 50-59 years, female 473.2
GTEX-13FHP-2126-SM-GIN8J 50-59 years, male 470.2
GTEX-16XZY-1026-SM-HAV39 70-79 years, male 465.6
GTEX-1I1GP-1926-SM-CNNQU 50-59 years, male 459.5
GTEX-ZVZP-0926-SM-5GIDB 50-59 years, male 453.8
GTEX-ZYT6-2226-SM-5GIC9 30-39 years, male 449.1
GTEX-13OW6-1826-SM-5N9F9 50-59 years, male 448.6
GTEX-15CHQ-2126-SM-6871M 60-69 years, male 448.6
GTEX-ZDXO-0226-SM-4WKH7 60-69 years, male 447.6
GTEX-T5JC-1526-SM-4DM68 20-29 years, male 434.2
GTEX-1A8FM-2026-SM-7P8RN 50-59 years, female 432.6
GTEX-1BAJH-1826-SM-731DA 70-79 years, male 427.8
GTEX-1399S-0526-SM-5IJG8 30-39 years, female 423.6
GTEX-1GF9V-1926-SM-9JGHE 60-69 years, male 423.5
GTEX-17F97-1926-SM-7IGM4 50-59 years, male 422.7
GTEX-W5X1-1626-SM-H7OGO 40-49 years, female 422.6
GTEX-1JJ6O-2526-SM-AHZ3J 60-69 years, male 409.9
GTEX-15DYW-2026-SM-6AJBD 60-69 years, female 407.9
GTEX-Y5V5-1226-SM-EYYVP 60-69 years, female 407.7
GTEX-1IL2V-1826-SM-ARU7R 70-79 years, male 401.9
GTEX-1IKK5-0926-SM-A9G2U 60-69 years, male 397.6
GTEX-1QP6S-1526-SM-EXUSG 40-49 years, male 394.6
GTEX-1HBPI-2026-SM-CE6RZ 50-59 years, male 392.9
GTEX-16Z82-2826-SM-HAUZZ 60-69 years, male 390.6
GTEX-1E2YA-1626-SM-7MGXS 50-59 years, male 380.8
GTEX-1C6VQ-2326-SM-7IGN1 50-59 years, male 379.3
GTEX-1LH75-1326-SM-F2I1R 50-59 years, female 370.9
GTEX-1JMLX-1526-SM-AHZ3N 50-59 years, male 362.7
GTEX-14PJ2-1826-SM-HL9UB 50-59 years, male 358.3
GTEX-1N2DW-1826-SM-EAZ54 50-59 years, male 357.6
GTEX-1GN1U-2126-SM-AHZ4J 50-59 years, female 350.2
GTEX-1HCU7-1826-SM-A9G2A 50-59 years, male 347.3
GTEX-ZXG5-2026-SM-HAUZV 60-69 years, male 339.8
GTEX-1LG7Y-2726-SM-D5OVW 50-59 years, male 339.5
GTEX-13O3O-1726-SM-GJ3RL 60-69 years, female 319.3
GTEX-1OJC4-2326-SM-DTXA5 50-59 years, female 317.6
GTEX-1EKGG-2226-SM-7IGOA 60-69 years, male 315.1
GTEX-147F4-2626-SM-5Q5CS 50-59 years, male 314.0
GTEX-11GS4-2326-SM-5A5KS 60-69 years, male 313.0
GTEX-13OVI-1126-SM-5KLZF 60-69 years, female 309.1
GTEX-13112-2126-SM-5GCO4 50-59 years, male 296.5
GTEX-13OVL-1826-SM-5KLZR 50-59 years, male 293.8
GTEX-11TTK-1926-SM-5PNW8 60-69 years, female 286.1
GTEX-1A3MW-2226-SM-73KUX 60-69 years, female 276.4
GTEX-ZE9C-1426-SM-4WKGM 60-69 years, male 253.3
GTEX-RN64-1626-SM-48FD7 50-59 years, male 227.6
Show allShow less
Kidney - Medulla
Average nTPM: 563.2
Samples: 11

Max nTPM: 1411.3
Min nTPM: 299.9
Std nTPM: 299.6
Median nTPM: 453.0
GTEX-N7MS-1526-SM-HAUZP 60-69 years, male 1411.3
GTEX-P4QS-1226-SM-HPAG8 60-69 years, male 737.0
GTEX-RU72-1926-SM-EAZ3F 50-59 years, female 679.5
GTEX-QEG5-2026-SM-H6Q6I 20-29 years, male 589.0
GTEX-TKQ2-0626-SM-EZ6LB 50-59 years, male 486.5
GTEX-SIU8-1926-SM-H7OG4 50-59 years, male 453.0
GTEX-T5JC-1626-SM-EZ6KW 20-29 years, male 440.9
GTEX-S33H-1526-SM-GQ1CB 30-39 years, male 421.7
GTEX-R55E-2026-SM-EZ6L1 20-29 years, male 344.2
GTEX-QEG4-1526-SM-GPRWK 30-39 years, male 332.1
GTEX-T6MN-1926-SM-GOQYD 50-59 years, male 299.9
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.

820.6
FANTOM5 sample id Sample description Scaled Tags Per Million
Kidney
Scaled Tags Per Million: 820.6
FF:10017-101C8 60,62,63 years, female 820.6

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