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CANCER UROTHELIAL CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
BLCA TCGA PROTEIN EXPRESSION
ANTIBODIES
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VALIDATION
Dictionary
Urothelial cancer
Human cancer
Bladder urothelial carcinoma
BLADDER UROTHELIAL CARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

CD9 is not prognostic in Bladder Urothelial Carcinoma (TCGA)


Stage:
Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 535.7
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

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. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 689.2
Number of samples 169
Samples
Sample Description pTPM
TCGA-BT-A20V-01A 59 years, female, black or african american, stage:Stage IV, dead, 154 days 5571.6
TCGA-ZF-AA5N-01A 62 years, female, white, stage:Stage IV, dead, 168 days 2261.0
TCGA-BT-A20N-01A 72 years, male, stage:Stage III, dead, 795 days 2069.7
TCGA-GU-A42Q-01A 67 years, male, white, stage:Stage III, dead, 344 days 1790.0
TCGA-E5-A4TZ-01A 64 years, male, white, stage:Stage IV, dead, 467 days 1703.7
TCGA-4Z-AA82-01A 59 years, male, black or african american, stage:Stage IV, dead, 1556 days 1678.3
TCGA-2F-A9KO-01A 63 years, male, white, stage:Stage IV, dead, 734 days 1576.7
TCGA-DK-A3X2-01A 85 years, male, white, stage:Stage IV, dead, 547 days 1512.4
TCGA-BT-A0YX-01A 70 years, female, white, stage:Stage III, dead, 400 days 1385.2
TCGA-HQ-A5ND-01A 78 years, male, stage:Stage IV, dead, 274 days 1382.8
TCGA-CU-A5W6-01A 70 years, male, white, stage:Stage III, dead, 56 days 1365.4
TCGA-GU-AATQ-01A 68 years, male, white, stage:Stage III, dead, 213 days 1284.9
TCGA-FD-A3SL-01A 60 years, male, white, stage:Stage IV, dead, 712 days 1256.1
TCGA-DK-AA6Q-01A 61 years, female, white, stage:Stage IV, dead, 413 days 1232.3
TCGA-GU-A767-01A 81 years, male, white, stage:Stage IV, dead, 144 days 1213.1
TCGA-DK-A1A3-01A 60 years, male, white, stage:Stage IV, dead, 665 days 1184.4
TCGA-FD-A6TG-01A 73 years, male, white, stage:Stage IV, dead, 93 days 1184.4
TCGA-DK-A1AB-01A 74 years, female, white, stage:Stage IV, dead, 508 days 1167.7
TCGA-FD-A6TH-01A 63 years, male, white, stage:Stage IV, dead, 131 days 1166.7
TCGA-BT-A2LD-01A 78 years, female, white, stage:Stage IV, dead, 623 days 1165.6
TCGA-K4-A5RI-01A 67 years, female, white, stage:Stage III, dead, 356 days 1139.4
TCGA-GU-AATO-01A 75 years, male, white, stage:Stage IV, dead, 324 days 1112.6
TCGA-GU-A42R-01A 68 years, male, white, stage:Stage IV, dead, 577 days 1091.6
TCGA-DK-A1A5-01A 79 years, male, white, stage:Stage II, dead, 65 days 1077.7
TCGA-FD-A3SS-01A 66 years, male, white, stage:Stage IV, dead, 391 days 1061.3
TCGA-ZF-AA4U-01A 70 years, male, white, stage:Stage III, dead, 262 days 1057.0
TCGA-HQ-A5NE-01A 57 years, male, stage:Stage III, dead, 370 days 1052.6
TCGA-ZF-A9RD-01A 75 years, female, white, stage:Stage IV, dead, 408 days 1031.4
TCGA-FD-A5C0-01A 61 years, male, white, stage:Stage IV, dead, 550 days 1020.5
TCGA-G2-A2ES-01A 85 years, male, white, stage:Stage II, dead, 1004 days 998.0
TCGA-DK-AA6L-01A 48 years, male, white, stage:Stage IV, dead, 1163 days 965.6
TCGA-4Z-AA7S-01A 66 years, male, black or african american, stage:Stage III, dead, 1064 days 949.7
TCGA-XF-A9SL-01A 69 years, male, white, stage:Stage IV, dead, 2020 days 920.5
TCGA-BL-A3JM-01A 62 years, male, white, stage:Stage III, dead, 205 days 920.1
TCGA-GV-A3QF-01A 79 years, male, white, stage:Stage IV, dead, 617 days 916.7
TCGA-FD-A3SR-01A 68 years, male, white, stage:Stage IV, dead, 602 days 892.8
TCGA-C4-A0F7-01A 77 years, male, stage:Stage IV, dead, 62 days 882.1
TCGA-ZF-AA56-01A 79 years, female, white, stage:Stage III, dead, 259 days 877.3
TCGA-FD-A3SM-01A 70 years, male, white, stage:Stage IV, dead, 547 days 866.7
TCGA-BL-A13J-01A 65 years, male, white, stage:Stage IV, dead, 81 days 866.1
TCGA-GV-A3JV-01A 66 years, male, white, stage:Stage IV, dead, 434 days 858.2
TCGA-G2-A3IB-01A 66 years, male, black or african american, stage:Stage II, dead, 220 days 849.3
TCGA-2F-A9KR-01A 59 years, female, stage:Stage III, dead, 3183 days 848.4
TCGA-XF-A8HI-01A 57 years, female, white, stage:Stage IV, dead, 544 days 844.9
TCGA-XF-A9SV-01A 82 years, male, white, stage:Stage IV, dead, 388 days 836.9
TCGA-YC-A9TC-01A 71 years, male, white, stage:Stage IV, dead, 20 days 836.0
TCGA-XF-A8HH-01A 61 years, female, white, stage:Stage IV, dead, 57 days 831.5
TCGA-E7-A3X6-01A 70 years, male, white, stage:Stage II, dead, 904 days 824.3
TCGA-5N-A9KI-01A 76 years, female, white, stage:Stage III, dead, 76 days 824.0
TCGA-2F-A9KP-01A 66 years, male, white, stage:Stage IV, dead, 364 days 819.2
TCGA-ZF-A9RE-01A 78 years, female, white, stage:Stage II, dead, 106 days 813.7
TCGA-FD-A3SJ-01A 59 years, male, white, stage:Stage IV, dead, 739 days 808.4
TCGA-CU-A0YR-01A 83 years, male, white, stage:Stage IV, dead, 460 days 807.4
TCGA-XF-A8HC-01A 79 years, male, asian, stage:Stage IV, dead, 200 days 801.1
TCGA-XF-A9SZ-01A 79 years, male, white, stage:Stage IV, dead, 859 days 792.2
TCGA-FD-A6TI-01A 73 years, male, white, stage:Stage IV, dead, 294 days 780.3
TCGA-BT-A2LB-01A 73 years, female, white, stage:Stage III, dead, 492 days 778.2
TCGA-DK-A2HX-01A 80 years, female, white, stage:Stage IV, dead, 1420 days 778.0
TCGA-FD-A6TF-01A 80 years, female, white, stage:Stage IV, dead, 69 days 768.0
TCGA-BT-A20U-01A 70 years, female, white, stage:Stage III, dead, 455 days 765.5
TCGA-FD-A62O-01A 74 years, male, white, stage:Stage IV, dead, 216 days 761.2
TCGA-GC-A3BM-01A 70 years, male, white, stage:Stage II, dead, 651 days 758.9
TCGA-FD-A3B3-01A 74 years, female, white, stage:Stage III, dead, 974 days 756.9
TCGA-FD-A3B4-01A 55 years, female, black or african american, stage:Stage III, dead, 510 days 752.3
TCGA-FD-A62P-01A 76 years, male, white, stage:Stage II, dead, 191 days 751.5
TCGA-XF-AAMX-01A 87 years, female, black or african american, stage:Stage III, dead, 206 days 749.3
TCGA-XF-AAMZ-01A 81 years, female, white, stage:Stage IV, dead, 1348 days 744.4
TCGA-4Z-AA81-01A 80 years, male, white, stage:Stage II, dead, 1270 days 744.3
TCGA-XF-A9SK-01A 65 years, male, white, stage:Stage IV, dead, 486 days 709.9
TCGA-ZF-AA4R-01A 67 years, male, white, stage:Stage IV, dead, 1036 days 709.6
TCGA-CU-A72E-01A 76 years, male, white, stage:Stage IV, dead, 413 days 709.2
TCGA-G2-A2EC-01A 58 years, female, black or african american, stage:Stage II, dead, 696 days 705.6
TCGA-UY-A78M-01A 81 years, female, asian, stage:Stage IV, dead, 690 days 694.3
TCGA-BT-A20W-01A 71 years, male, white, stage:Stage II, dead, 254 days 684.2
TCGA-GC-A3I6-01A 45 years, male, white, stage:Stage III, dead, 630 days 666.4
TCGA-CU-A0YO-01A 84 years, male, white, stage:Stage IV, dead, 149 days 654.1
TCGA-FJ-A3Z9-01A 72 years, male, white, stage:'--, dead, 385 days 653.4
TCGA-FD-A5BZ-01A 77 years, female, white, stage:Stage IV, dead, 835 days 641.8
TCGA-4Z-AA86-01A 66 years, male, black or african american, stage:Stage IV, dead, 311 days 629.6
TCGA-DK-A3IQ-01A 74 years, male, white, stage:Stage III, dead, 539 days 628.2
TCGA-FD-A3N5-01A 69 years, male, black or african american, stage:Stage II, dead, 685 days 623.3
TCGA-E7-A97P-01A 73 years, male, asian, stage:Stage II, dead, 437 days 619.5
TCGA-CF-A47T-01A 58 years, female, asian, stage:Stage II, dead, 385 days 618.6
TCGA-BT-A20T-01A 63 years, male, white, stage:Stage IV, dead, 453 days 604.7
TCGA-ZF-A9R9-01A 58 years, male, white, stage:Stage IV, dead, 864 days 598.9
TCGA-FD-A43Y-01A 65 years, male, white, stage:Stage III, dead, 474 days 597.0
TCGA-BT-A3PK-01A 80 years, male, white, stage:Stage II, dead, 303 days 577.4
TCGA-XF-AAN1-01A 75 years, female, stage:Stage III, dead, 941 days 571.6
TCGA-ZF-AA4N-01A 74 years, male, white, stage:Stage II, dead, 88 days 571.5
TCGA-FD-A3B5-01A 86 years, male, black or african american, stage:Stage IV, dead, 272 days 562.9
TCGA-UY-A78K-01A 60 years, male, white, stage:Stage IV, dead, 536 days 554.1
TCGA-XF-A9SJ-01A 83 years, male, white, stage:Stage IV, dead, 98 days 552.1
TCGA-FD-A62S-01A 60 years, female, black or african american, stage:Stage III, dead, 406 days 551.1
TCGA-BT-A3PH-01A 76 years, male, white, stage:Stage IV, dead, 142 days 550.5
TCGA-G2-A3IE-01A 51 years, male, white, stage:Stage II, dead, 612 days 550.4
TCGA-5N-A9KM-01A 73 years, female, white, stage:Stage III, dead, 530 days 549.2
TCGA-BT-A20P-01A 81 years, female, white, stage:Stage III, dead, 544 days 542.4
TCGA-CU-A0YN-01A 60 years, male, white, stage:Stage III, dead, 393 days 542.0
TCGA-4Z-AA80-01A 73 years, male, white, stage:Stage II, dead, 19 days 539.3
TCGA-GV-A40E-01A 75 years, male, white, stage:Stage II, dead, 261 days 535.7
TCGA-ZF-A9R3-01A 53 years, female, white, stage:Stage II, dead, 949 days 531.6
TCGA-FD-A3SQ-01A 62 years, male, white, stage:Stage IV, dead, 1423 days 521.3
TCGA-K4-A4AC-01A 83 years, male, white, stage:Stage II, dead, 278 days 518.1
TCGA-XF-A9SP-01A 59 years, male, white, stage:Stage III, dead, 454 days 514.7
TCGA-ZF-AA4T-01A 65 years, male, white, stage:Stage IV, dead, 599 days 509.0
TCGA-DK-A3IM-01A 76 years, male, white, stage:Stage III, dead, 248 days 499.3
TCGA-XF-AAML-01A 75 years, male, white, stage:Stage II, dead, 232 days 493.2
TCGA-XF-A8HG-01A 69 years, male, white, stage:Stage III, dead, 467 days 491.5
TCGA-ZF-AA52-01A 70 years, male, white, stage:Stage III, dead, 1077 days 465.4
TCGA-XF-A9SH-01A 65 years, female, asian, stage:Stage II, dead, 1971 days 465.4
TCGA-FD-A3B6-01A 75 years, male, white, stage:Stage II, dead, 1005 days 458.4
TCGA-ZF-A9RN-01A 67 years, female, white, stage:Stage III, dead, 615 days 454.7
TCGA-XF-A9SX-01A 63 years, female, white, stage:Stage IV, dead, 719 days 451.8
TCGA-BT-A20Q-01A 73 years, male, white, stage:Stage IV, dead, 593 days 450.4
TCGA-E7-A541-01A 66 years, male, white, stage:Stage II, dead, 778 days 440.2
TCGA-DK-A3IL-01A 79 years, female, white, stage:Stage IV, dead, 413 days 428.6
TCGA-GU-A762-01A 87 years, male, white, stage:Stage IV, dead, 232 days 413.6
TCGA-FD-A6TD-01A 77 years, male, white, stage:Stage III, dead, 386 days 408.2
TCGA-XF-AAMT-01A 75 years, female, white, stage:Stage IV, dead, 90 days 405.9
TCGA-XF-AAME-01A 64 years, female, white, stage:Stage II, dead, 2828 days 404.9
TCGA-FJ-A3ZE-01A 65 years, male, white, stage:Stage IV, dead, 324 days 403.4
TCGA-BT-A20J-01A 75 years, male, white, stage:Stage II, dead, 579 days 400.9
TCGA-XF-AAN2-01A 73 years, male, white, stage:Stage II, dead, 1869 days 399.9
TCGA-XF-A9SW-01A 85 years, male, white, stage:Stage IV, dead, 362 days 392.0
TCGA-4Z-AA7N-01A 65 years, male, white, stage:Stage III, dead, 1367 days 391.4
TCGA-FD-A5BV-01A 47 years, female, white, stage:Stage III, dead, 163 days 385.4
TCGA-FD-A3SO-01A 68 years, male, white, stage:Stage IV, dead, 168 days 357.9
TCGA-G2-A2EO-01A 69 years, male, white, stage:Stage III, dead, 1804 days 355.0
TCGA-4Z-AA7Q-01A 79 years, male, white, stage:Stage III, dead, 510 days 354.0
TCGA-BT-A20X-01A 56 years, male, white, stage:Stage IV, dead, 251 days 349.0
TCGA-XF-AAMW-01A 79 years, female, white, stage:Stage IV, dead, 253 days 345.2
TCGA-XF-AAMJ-01A 70 years, male, asian, stage:Stage III, dead, 1670 days 344.6
TCGA-XF-A9SU-01A 74 years, female, white, stage:Stage IV, dead, 182 days 341.9
TCGA-XF-A9T8-01A 64 years, male, white, stage:Stage III, dead, 418 days 340.7
TCGA-CF-A9FL-01A 85 years, male, asian, stage:Stage III, dead, 565 days 339.9
TCGA-XF-A8HF-01A 80 years, male, white, stage:Stage III, dead, 2954 days 339.2
TCGA-DK-AA6W-01A 78 years, male, white, stage:Stage II, dead, 415 days 336.1
TCGA-GU-A42P-01A 72 years, male, white, stage:Stage IV, dead, 332 days 329.2
TCGA-FD-A3B7-01A 66 years, male, black or african american, stage:Stage III, dead, 122 days 314.7
TCGA-GV-A3QH-01A 67 years, male, white, stage:Stage II, dead, 258 days 311.9
TCGA-SY-A9G0-01A 82 years, male, white, stage:Stage IV, dead, 1008 days 309.1
TCGA-ZF-A9R0-01A 82 years, male, white, stage:Stage III, dead, 680 days 308.6
TCGA-S5-A6DX-01A 83 years, male, white, stage:Stage IV, dead, 56 days 304.4
TCGA-XF-AAN0-01A 68 years, male, white, stage:Stage IV, dead, 1718 days 303.7
TCGA-DK-A3IU-01A 58 years, male, white, stage:Stage II, dead, 706 days 292.3
TCGA-UY-A78N-01A 80 years, male, white, stage:Stage IV, dead, 2641 days 287.4
TCGA-DK-A3IK-01A 87 years, male, white, stage:Stage IV, dead, 146 days 280.4
TCGA-DK-AA75-01A 82 years, male, white, stage:Stage III, dead, 340 days 277.1
TCGA-XF-AAMH-01A 80 years, male, white, stage:Stage IV, dead, 344 days 269.0
TCGA-BT-A0S7-01A 75 years, male, white, stage:Stage III, dead, 200 days 254.3
TCGA-DK-A3IN-01A 72 years, male, white, stage:Stage III, dead, 250 days 250.4
TCGA-XF-AAN7-01A 60 years, male, white, stage:Stage IV, dead, 565 days 227.3
TCGA-E7-A4XJ-01A 66 years, male, asian, stage:Stage II, dead, 68 days 220.1
TCGA-XF-AAN4-01A 77 years, female, white, stage:Stage III, dead, 823 days 184.2
TCGA-4Z-AA7R-01A 73 years, male, black or african american, stage:Stage IV, dead, 522 days 170.7
TCGA-DK-A2I2-01A 63 years, female, white, stage:Stage IV, dead, 237 days 167.6
TCGA-ZF-AA54-01A 71 years, male, white, stage:Stage III, dead, 590 days 150.7
TCGA-FD-A5BX-01A 82 years, male, white, stage:Stage IV, dead, 173 days 149.4
TCGA-FD-A5BT-01A 84 years, male, white, stage:Stage III, dead, 328 days 146.9
TCGA-XF-AAN8-01A 74 years, female, white, stage:Stage III, dead, 118 days 129.8
TCGA-2F-A9KW-01A 67 years, female, white, stage:Stage III, dead, 254 days 129.4
TCGA-FJ-A871-01A 49 years, male, white, stage:Stage III, dead, 272 days 118.1
TCGA-XF-A9T2-01A 54 years, male, white, stage:Stage III, dead, 575 days 102.0
TCGA-BL-A13I-01A 57 years, female, white, stage:Stage III, dead, 223 days 99.8
TCGA-G2-AA3C-01A 66 years, male, white, stage:Stage IV, dead, 211 days 78.7
TCGA-C4-A0EZ-01A 69 years, female, stage:Stage IV, dead, 273 days 75.0
TCGA-BT-A20O-01A 75 years, male, white, stage:Stage III, dead, 370 days 58.6
TCGA-XF-A9ST-01A 68 years, male, white, stage:Stage III, dead, 128 days 39.6
TCGA-G2-A2EL-01A 77 years, male, white, stage:Stage II, dead, 819 days 12.9
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UROTHELIAL CANCER - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

 

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.


Antibody CAB002490
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Urothelial carcinoma, High grade
Urothelial carcinoma, Low grade

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The Human Protein Atlas

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The Human Protein Atlas project is funded
by the Knut & Alice Wallenberg Foundation.


contact@proteinatlas.org