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Senp1 drives hypoxia-induced polycythemia via GATA1 and Bcl-xL in subjects with Monge's disease

Azad, Priti, Zhao, Huiwen W., Cabrales, Pedro J., Ronen, Roy, Zhou, Dan, Poulsen, Orit, Appenzeller, Otto, Hsiao, Yu Hsin, Bafna, Vineet, Haddad, Gabriel G.·2016·Journal of Experimental Medicine

Abstract

In this study, because excessive polycythemia is a predominant trait in some high-altitude dwellers (chronic mountain sickness [CMS] or Monge’s disease) but not others living at the same altitude in the Andes, we took advantage of this human experiment of nature and used a combination of induced pluripotent stem cell technology, genomics, and molecular biology in this unique population to understand the molecular basis for hypoxia-induced excessive polycythemia. As compared with sea-level controls and non-CMS subjects who responded to hypoxia by increasing their RBCs modestly or not at all, respectively, CMS cells increased theirs remarkably (up to 60-fold). Although there was a switch from fetal to adult HgbA0 in all populations and a concomitant shift in oxygen binding, we found that CMS cells matured faster and had a higher efficiency and proliferative potential than non-CMS cells. We also established that SENP1 plays a critical role in the differential erythropoietic response of CMS and non-CMS subjects: we can convert the CMS phenotype into that of non-CMS and vice versa by altering SENP1 levels. We also demonstrated that GATA1 is an essential downstream target of SENP1 and that the differential expression and response of GATA1 and Bcl-xL are a key mechanism underlying CMS pathology.

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Research works printed but not linked: 44

  1. Alkorta-Aranburu, 2012, The genetic architecture of adaptations to high altitude in Ethiopia, PLoS Genet., 8, e1003110, 10.1371/journal.pgen.1003110 · DOI
  2. Appenzeller, 2006, Gene expression, autonomic function and chronic hypoxia:lessons from the Andes, Clin. Auton. Res., 16, 217, 10.1007/s10286-006-0338-3 · DOI
  3. Beall, 2000, Tibetan and Andean patterns of adaptation to high-altitude hypoxia, Hum. Biol., 72, 201
  4. Beall, 2006, Andean, Tibetan, and Ethiopian patterns of adaptation to high-altitude hypoxia, Integr. Comp. Biol., 46, 18, 10.1093/icb/icj004 · DOI
  5. Cheng, 2007, SUMO-specific protease 1 is essential for stabilization of HIF1α during hypoxia, Cell., 131, 584, 10.1016/j.cell.2007.08.045 · DOI · Paper page
  6. Chou, 2015, A facile method to establish human induced pluripotent stem cells from adult blood cells under feeder-free and xeno-free culture conditions: a clinically compliant approach, Stem Cells Transl. Med., 4, 320, 10.5966/sctm.2014-0214 · DOI
  7. Cole, 2014, Genetic variation in SENP1 and ANP32D as predictors of chronic mountain sickness, High Alt. Med. Biol., 15, 497, 10.1089/ham.2014.1036 · DOI
  8. Dainiak, 1989, Erythropoietin and the polycythemia of high-altitude dwellers, Adv. Exp. Med. Biol., 271, 17, 10.1007/978-1-4613-0623-8_3 · DOI
  9. DeFilippis, 2003, Blood is thicker than water: The management of hyperviscosity in adults with cyanotic heart disease, J. Gen. Intern. Med.
  10. ENCODE Project Consortium, 2012, An integrated encyclopedia of DNA elements in the human genome, Nature., 489, 57, 10.1038/nature11247 · DOI · Paper page
  11. Franke, 2013, Erythrocytosis: the HIF pathway in control, Blood., 122, 1122, 10.1182/blood-2013-01-478065 · DOI
  12. Gonzales, 2015, Higher androgen bioactivity is associated with excessive erythrocytosis and chronic mountain sickness in Andean Highlanders: a review, Andrologia., 47, 729, 10.1111/and.12359 · DOI
  13. Haase, 2013, Regulation of erythropoiesis by hypoxia-inducible factors, Blood Rev., 27, 41, 10.1016/j.blre.2012.12.003 · DOI · Paper page
  14. Jansen, 2011, Brain blood flow in Andean and Himalayan high-altitude populations: evidence of different traits for the same environmental constraint, J. Cereb. Blood Flow Metab., 31, 706, 10.1038/jcbfm.2010.150 · DOI
  15. Jiang, 2014, Chronic mountain sickness in Chinese Han males who migrated to the Qinghai-Tibetan plateau: application and evaluation of diagnostic criteria for chronic mountain sickness, BMC Public Health., 14, 701, 10.1186/1471-2458-14-701 · DOI
  16. Jiang, 2015, Increased SUMO-1 expression in response to hypoxia: Interaction with HIF-1α in hypoxic pulmonary hypertension, Int. J. Mol. Med., 36, 271, 10.3892/ijmm.2015.2209 · DOI
  17. Kobari, 2012, Human induced pluripotent stem cells can reach complete terminal maturation: in vivo and in vitro evidence in the erythropoietic differentiation model, Haematologica., 97, 1795, 10.3324/haematol.2011.055566 · DOI
  18. León-Velarde, 2008, Gene expression in chronic high altitude diseases, High Alt. Med. Biol., 9, 130, 10.1089/ham.2007.1077 · DOI
  19. León-Velarde, 1991, Serum immunoreactive erythropoietin in high altitude natives with and without excessive erythrocytosis, Exp. Hematol., 19, 257
  20. León-Velarde, 2000, Hematological parameters in high altitude residents living at 4,355, 4,660, and 5,500 meters above sea level, High Alt. Med. Biol., 1, 97, 10.1089/15270290050074233 · DOI
  21. Lorenzo, 2014, A genetic mechanism for Tibetan high-altitude adaptation, Nat. Genet., 46, 951, 10.1038/ng.3067 · DOI
  22. Luo, 2014, ‘Ome’ on the range: update on high-altitude acclimatization/adaptation and disease, Mol. Biosyst., 10, 2748, 10.1039/C4MB00119B · DOI
  23. Mejía, 2005, Genetic association analysis of chronic mountain sickness in an Andean high-altitude population, Haematologica., 90, 13
  24. Monge, 1965, Effect of blood-letting on chronic mountain sickness, Nature., 207, 770, 10.1038/207770a0 · DOI
  25. Naeije, 2010, Physiological adaptation of the cardiovascular system to high altitude, Prog. Cardiovasc. Dis., 52, 456, 10.1016/j.pcad.2010.03.004 · DOI
  26. Naeije, 2013, Pulmonary hypertension and chronic mountain sickness, High Alt. Med. Biol., 14, 117, 10.1089/ham.2012.1124 · DOI
  27. Penaloza, 2007, The heart and pulmonary circulation at high altitudes: healthy highlanders and chronic mountain sickness, Circulation., 115, 1132, 10.1161/CIRCULATIONAHA.106.624544 · DOI · Paper page
  28. Qiu, 2008, Globin switches in yolk sac-like primitive and fetal-like definitive red blood cells produced from human embryonic stem cells, Blood., 111, 2400, 10.1182/blood-2007-07-102087 · DOI
  29. Ronen, 2014, The genetic basis of chronic mountain sickness, Physiology (Bethesda)., 29, 403
  30. Ronen, 2015, Predicting carriers of ongoing selective sweeps without knowledge of the favored allele, PLoS Genet., 11, e1005527, 10.1371/journal.pgen.1005527 · DOI
  31. Rosenbloom, 2012, ENCODE whole-genome data in the UCSC Genome Browser: update 2012, Nucleic Acids Res., 40, D912, 10.1093/nar/gkr1012 · DOI
  32. Sabo, 2004, Discovery of functional noncoding elements by digital analysis of chromatin structure, Proc. Natl. Acad. Sci. USA., 101, 16837, 10.1073/pnas.0407387101 · DOI
  33. Scheinfeldt, 2012, Genetic adaptation to high altitude in the Ethiopian highlands, Genome Biol., 13, R1, 10.1186/gb-2012-13-1-r1 · DOI
  34. Simonson, 2010, Genetic evidence for high-altitude adaptation in Tibet, Science., 329, 72, 10.1126/science.1189406 · DOI · Paper page
  35. Stobdan, 2015, Endothelin receptor B, a candidate gene from human studies at high altitude, improves cardiac tolerance to hypoxia in genetically engineered heterozygote mice, Proc. Natl. Acad. Sci. USA., 112, 10425, 10.1073/pnas.1507486112 · DOI
  36. Sturgeon, 2014, Wnt signaling controls the specification of definitive and primitive hematopoiesis from human pluripotent stem cells, Nat. Biotechnol., 32, 554, 10.1038/nbt.2915 · DOI · Paper page
  37. Udpa, 2014, Whole genome sequencing of Ethiopian highlanders reveals conserved hypoxia tolerance genes, Genome Biol., 15, R36, 10.1186/gb-2014-15-2-r36 · DOI
  38. Villafuerte, 2014, Decreased plasma soluble erythropoietin receptor in high-altitude excessive erythrocytosis and Chronic Mountain Sickness, J. Appl. Physiol., 117, 1356, 10.1152/japplphysiol.00619.2014 · DOI
  39. Wu, 2005, Chronic mountain sickness on the Qinghai-Tibetan plateau, Chin. Med. J. (Engl.)., 118, 161
  40. Xiang, 2013, Identification of a Tibetan-specific mutation in the hypoxic gene EGLN1 and its contribution to high-altitude adaptation, Mol. Biol. Evol., 30, 1889, 10.1093/molbev/mst090 · DOI
  41. Xu, 2015, SENP1 inhibition induces apoptosis and growth arrest of multiple myeloma cells through modulation of NF-κB signaling, Biochem. Biophys. Res. Commun., 460, 409, 10.1016/j.bbrc.2015.03.047 · DOI
  42. Yu, 2010, SENP1-mediated GATA1 deSUMOylation is critical for definitive erythropoiesis, J. Exp. Med., 207, 1183, 10.1084/jem.20092215 · DOI
  43. Zhao, 2015, Altered iPSC-derived neurons’ sodium channel properties in subjects with Monge’s disease, Neuroscience., 288, 187, 10.1016/j.neuroscience.2014.12.039 · DOI
  44. Zhou, 2013, Whole-genome sequencing uncovers the genetic basis of chronic mountain sickness in Andean highlanders, Am. J. Hum. Genet., 93, 452, 10.1016/j.ajhg.2013.07.011 · DOI · Paper page

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Metadata

Authors
Azad, P., Zhao, H. W., Cabrales, P. J., Ronen, R., Zhou, D., Poulsen, O., Appenzeller, O., Hsiao, Y. H., Bafna, V., & Haddad, G. G.
Affiliations
  • Division of Respiratory Medicine, Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093 1
  • Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093 2
  • Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093 3
  • Department of Neurology, New Mexico Health Enhancement and Marathon Clinics Research Foundation, Albuquerque, NM 87122 6
  • Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093 4
Venue
Journal of Experimental Medicine
Published
2016-11-07
Volume
213
Issue
12
Pages
2729-2744
ISSN
  • 0022-1007
  • 1540-9538
Cited by
38
References
1
Language
en
Funders
  • National Institutes of Health (1P01HL098053, 5P01HD32573)
  • National Science Foundation (NSF-CCF-1115206, NSF-III-1318386)
  • NIH (5RO1-HG004962, U54 HL108460, R56HL123015, R01-HL52684)

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