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Identification of RPS14 as a 5q- syndrome gene by RNA interference screen
Open accessAbstract
Somatic chromosomal deletions in cancer are thought to indicate the location of tumour suppressor genes, by which a complete loss of gene function occurs through biallelic deletion, point mutation or epigenetic silencing, thus fulfilling Knudson’s two-hit hypothesis. In many recurrent deletions, however, such biallelic inactivation has not been found. One prominent example is the 5q- syndrome, a subtype of myelodysplastic syndrome characterized by a defect in erythroid differentiation. Here we describe an RNA-mediated interference (RNAi)-based approach to discovery of the 5q- disease gene. We found that partial loss of function of the ribosomal subunit protein RPS14 phenocopies the disease in normal haematopoietic progenitor cells, and also that forced expression of RPS14 rescues the disease phenotype in patient-derived bone marrow cells. In addition, we identified a block in the processing of pre-ribosomal RNA in RPS14-deficient cells that is functionally equivalent to the defect in Diamond–Blackfan anaemia, linking the molecular pathophysiology of the 5q- syndrome to a congenital syndrome causing bone marrow failure. These results indicate that the 5q- syndrome is caused by a defect in ribosomal protein function and suggest that RNAi screening is an effective strategy for identifying causal haploinsufficiency disease genes.
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Self-citationLenalidomide in the Myelodysplastic Syndrome with Chromosome 5q Deletion
List, A., Dewald, G., Bennett, J., Giagounidis, A., Raza, A., Feldman, E., Powell, B., Greenberg, P., Thomas, D., Stone, R., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa061292 · Cited by 1,319
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Research works printed but not linked: 28
- Knudson, A. G. Mutation and cancer: statistical study of retinoblastoma. Proc. Natl Acad. Sci. USA 68, 820–823 (1971) · DOI · Paper page
- Van den Berghe, H. et al. Distinct haematological disorder with deletion of long arm of no. 5 chromosome. Nature 251, 437–438 (1974) · DOI
- Heaney, M. L. & Golde, D. W. Myelodysplasia. N. Engl. J. Med. 340, 1649–1660 (1999) · DOI
- Giagounidis, A. A., Germing, U. & Aul, C. Biological and prognostic significance of chromosome 5q deletions in myeloid malignancies. Clin. Cancer Res. 12, 5–10 (2006) · DOI
- Boultwood, J. et al. Narrowing and genomic annotation of the commonly deleted region of the 5q- syndrome. Blood 99, 4638–4641 (2002) · DOI · Paper page
- Raza, A. et al. Apoptosis in bone marrow biopsy samples involving stromal and hematopoietic cells in 50 patients with myelodysplastic syndromes. Blood 86, 268–276 (1995) · DOI
- Zender, L. et al. Identification and validation of oncogenes in liver cancer using an integrative oncogenomic approach. Cell 125, 1253–1267 (2006) · DOI · Paper page
- Ferreira-Cerca, S. et al. Roles of eukaryotic ribosomal proteins in maturation and transport of pre-18S rRNA and ribosome function. Mol. Cell 20, 263–275 (2005) · DOI · Paper page
- Draptchinskaia, N. et al. The gene encoding ribosomal protein S19 is mutated in Diamond–Blackfan anaemia. Nature Genet. 21, 169–175 (1999) · DOI · Paper page
- Gazda, H. T. et al. Ribosomal protein S24 gene is mutated in Diamond–Blackfan anemia. Am. J. Hum. Genet. 79, 1110–1118 (2006) · DOI · Paper page
- Flygare, J. et al. Human RPS19, the gene mutated in Diamond–Blackfan anemia, encodes a ribosomal protein required for the maturation of 40S ribosomal subunits. Blood 109, 980–986 (2007) · DOI
- Liu, J. M. & Ellis, S. R. Ribosomes and marrow failure: coincidental association or molecular paradigm? Blood 107, 4583–4588 (2006) · DOI
- Quesenberry, P. J. & Colvin, G. A. in Williams Hematology 153 (McGraw-Hill, New York, 2005)
- Quigley, J. G. et al. Identification of a human heme exporter that is essential for erythropoiesis. Cell 118, 757–766 (2004) · DOI
- Amsterdam, A. et al. Many ribosomal protein genes are cancer genes in zebrafish. PLoS Biol. 2, E139 (2004) · DOI · Paper page
- Horrigan, S. K. et al. Delineation of a minimal interval and identification of 9 candidates for a tumor suppressor gene in malignant myeloid disorders on 5q31. Blood 95, 2372–2377 (2000) · DOI
- Liu, T. X. et al. Chromosome 5q deletion and epigenetic suppression of the gene encoding α-catenin (CTNNA1) in myeloid cell transformation. Nature Med. 13, 78–83 (2007) · DOI
- Joslin, J. M. et al. Haploinsufficiency of EGR1, a candidate gene in the del(5q), leads to the development of myeloid disorders. Blood 110, 719–726 (2007) · DOI
- Fodde, R. & Smits, R. Cancer biology. A matter of dosage. Science 298, 761–763 (2002) · DOI
- Mullighan, C. G. et al. Genome-wide analysis of genetic alterations in acute lymphoblastic leukaemia. Nature 446, 758–764 (2007) · DOI
- Ebert, B. L. et al. An RNA interference model of RPS19 deficiency in Diamond–Blackfan anemia recapitulates defective hematopoiesis and rescue by dexamethasone: identification of dexamethasone-responsive genes by microarray. Blood 105, 4620–4626 (2005) · DOI
- Moffat, J. et al. A lentiviral RNAi library for human and mouse genes applied to an arrayed viral high-content screen. Cell 124, 1283–1298 (2006) · DOI
- Golub, T. R. et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286, 531–537 (1999) · DOI · Paper page
- Ebert, B. L. et al. An erythroid differentiation signature predicts response to lenalidomide in myelodysplastic syndrome. PLoS Med. (in the press)
- Stegmaier, K. et al. Gene expression-based high-throughput screening (GE-HTS) and application to leukemia differentiation. Nature Genet. 36, 257–263 (2004) · DOI · Paper page
- Gnatenko, D. V. et al. Transcript profiling of human platelets using microarray and serial analysis of gene expression. Blood 101, 2285–2293 (2003) · DOI · Paper page
- Bolstad, B. M., Irizarry, R. A., Astrand, M. & Speed, T. P. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics 19, 185–193 (2003) · DOI
- Tang, H. et al. Amino acid-induced translation of TOP mRNAs is fully dependent on phosphatidylinositol 3-kinase-mediated signaling, is partially inhibited by rapamycin, and is independent of S6K1 and rpS6 phosphorylation. Mol. Cell. Biol. 21, 8671–8683 (2001) · DOI
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Metadata
- Authors
- Ebert, B. L., Pretz, J., Bosco, J., Chang, C. Y., Tamayo, P., Galili, N., Raza, A., Root, D. E., Attar, E., Ellis, S. R., & Golub, T. R.
- Venue
- Nature
- Published
- 2008-01
- Volume
- 451
- Issue
- 7176
- Pages
- 335-339
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2121533623
- Cited by
- 928
- References
- 2
- FWCI
- 63.35
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.springer.com/tdm (tdm)
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