Natural genetic diversity as a means to uncover stem cell regulatory pathways

Annals of the New York Academy of Sciences

Volumn 1176, Issue , 2009, Pages 170-177

  Van Zant, Gary ^a   Liang, Ying ^a  

^a UNIVERSITY OF KENTUCKY   (United States)

Author keywords

Congenic mouse models; Genetic mapping; Latexin; QTL analysis; Stem cells; Tumor suppressor

Indexed keywords

CELL PROTEIN; LATEXIN; UNCLASSIFIED DRUG;

CANCER INHIBITION; CELL PROLIFERATION; CONFERENCE PAPER; CONGENIC STRAIN; GENE MAPPING; GENETIC VARIABILITY; HEMATOPOIESIS; HEMATOPOIETIC STEM CELL; MOUSE; NONHUMAN; QUANTITATIVE TRAIT LOCUS; REGULATORY MECHANISM; SINGLE NUCLEOTIDE POLYMORPHISM;

MUS;

EID: 70349808976     PISSN: 00778923     EISSN: 17496632     Source Type: Book Series    
DOI: 10.1111/j.1749-6632.2009.04567.x     Document Type: Conference Paper

References (32)

1. Rockman, M.V. 2008. Reverse engineering the genotype-phenotype map with natural genetic variation. Nature 456: 738-744
2. de Haan, G. & G. Van Zant. 1997. Intrinsic and extrinsic control of hemopoietic stem cell numbers: mapping of a stem cell gene. J. Exp. Med. 186: 529-536
3. Geiger, H. et al. 2001. Age- and stage-specific regulation patterns in the hematopoietic stem cell hierarchy. Blood 98: 2966-2972
4. Liang, Y. et al. 2007. The quantitative trait gene la-texin influences the size of the hematopoietic stem cell population in mice. Nat. Genet. 39: 178-188
5. Williams, R.W. et al. 2001. The genetic structure of recombinant inbred mice: high-resolution consensus maps for complex trait analysis. Genome Biol. 2: 1-18
6. Abiola, O. et al. 2003. The nature and identification of quantitative trait loci: a community's view. Nat. Rev. 4: 911-916
7. Flint, J. et al. 2005. Strategies for mapping and cloning quantitative trait genes in rodents. Nat. Rev. 6: 271-286
8. Belknap, J.K. et al. 1997. Short-term selective breeding as a tool for QTL mapping: ethanol preference drinking in mice. Behav. Genet. 27: 55-66
9. Darvasi, A. et al. 1993. Detecting marker-QTL linkage and estimating QTL gene effect and map location using a saturated genetic map. Genetics 134: 943-951
10. Williams, R.W. 2000. Genetic dissection of the mouse CNS: The use of QTL methods to map genes that modulate cell production and and cell death. In Mouse Brain Development: 21-49. Springer. New York
11. de Haan, G. & G. Van Zant. 1999. Genetic analysis of hemopoietic cell cycling in mice suggests its involvement in organismal life span. FASEB J. 13: 707-713
12. de Haan, G. & G. Van Zant. 1999. Dynamic changes in mouse hematopoietic stem cell numbers during aging. Blood 93: 3294-3301
13. Williams, R., R. Strom & D. Goldowitz. 1998. Natural variation in neuron number in mice is linked to a major quantitative trait locus on Chr 11. J. Neurosci. 18: 138-146
14. Darvasi, A. & M. Soller. 1997. A simple method to calculate resolving power and confidence interval of QTL map location. Behav. Genet. 27: 125-132
15. Flint, J. & R. Mott. 2001. Finding the molecular basis of quantitative traits: successes and pitfalls. Nat. Rev. 2: 437-445
16. Markel, P. et al. 1997. Theoretical and empirical issues for marker-assisted breeding of congenic mouse strains. Nat. Genet. 17: 280-284
17. Williams, R.B. et al. 2006. Normalization procedures and detection of linkage signal in genetical-genomics experiments. Nat. Genet. 38: 855-856; author reply 856-859
18. Bystrykh, L. et al. 2005. Uncovering regulatory pathways that affect hematopoietic stem cell function using 'genetical genomics'. Nat. Genet. 37: 225-232
19. Mouradov, D. et al. 2005. Modelling the structure of latexin- carboxypeptidase A complex based on chemical cross-linking and molecular docking. Protein Eng. Des. Sel. 19: 9-16
20. Pallares, I. et al. 2005. Structure of human car-boxypeptidase A4 with its endogenous protein inhibitor, latexin. Proc. Natl. Acad. Sci. USA 102: 3978-3983
21. Arimatsu, Y. 1994. Latexin: a molecular marker for regional specification in the neocortex. Neurosci. Res. 20: 131-135
22. Takiguchi-Hayashi, K. & Y. Arimatsu. 1995. Restricted expression of latexin in dorsal midline cells of developing rat forebrain. Neuroreport 6: 281-283
23. Arimatsu, Y. & M. Ishida. 1998. Early patterning of the rat cerebral wall for regional organization of a neuronal population expressing latexin. Brain Res. Dev. Brain Res. 106: 71-78
24. Arimatsu, Y. et al. 1999. Cerebral cortical specifica-tion by early potential restriction of progenitor cells and later phenotype control of postmitotic neurons. Development 126: 629-638
25. Aagaard, A. et al. 2005. An inflammatory role for the mammalian carboxypeptidase inhibitor latexin: relationship to cystatins and the tumor suppressor TIG1. Structure (Camb) 13: 309-317
26. Uratani, Y. et al. 2000. Latexin, a carboxypeptidase A inhibitor, is expressed in rat peritoneal mast cells and is associated with granular structures distinct from secretory granules and lysosomes. Biochem. J. 346(Pt 3): 817-826
27. Kadouchi, I. et al. 2009. Latexin is involved in bone morphogenetic protein-2-induced chondrocyte differentiation. Biochem. Biophys. Res. Commun. 378: 600-604
28. Huang, E. et al. 1990. The hematopoietic growth factor KL is encoded by the Sl locus and is the ligand of the c-kit receptor, the gene product of the W locus. Cell 63: 225-233
29. Zsebo, K. et al. 1990. Stem cell factor is encoded at the Sl locus of the mouse and is the ligand for the C-kit tyrosine kinase receptor. Cell 63: 213-224
30. Gautron, J. et al. 2001. Ovocalyxin-32, a novel chicken eggshell matrix protein, isolation, amino acid sequencing, cloning, and immunocytochemical localization. J. Biol. Chem. 276: 39243-39252
31. Hincke, M.T. et al. 2003. Purification of ovocalyxin-32, a novel chicken eggshell matrix protein. Connect Tissue Res. 44(Suppl 1): 16-19
32. Youssef, E.M. et al. 2004. Hypermethylation and silencing of the putative tumor suppressor Tazarotene-induced gene 1 in human cancers. Cancer Res. 64: 2411-2417