A GATA-1-regulated microRNA locus essential for erythropoiesis
Abstract
MicroRNAs (miRNAs) control tissue development, but their mechanism of regulation is not well understood. We used a gene complementation strategy combined with microarray screening to identify miRNAs involved in the formation of erythroid (red blood) cells. Two conserved miRNAs, miR 144 and miR 451 , emerged as direct targets of the critical hematopoietic transcription factor GATA-1. In vivo , GATA-1 binds a distal upstream regulatory element to activate RNA polymerase II-mediated transcription of a single common precursor RNA (pri-miRNA) encoding both mature miRNAs. Zebrafish embryos depleted of miR 451 by using antisense morpholinos form erythroid precursors, but their development into mature circulating red blood cells is strongly and specifically impaired. These results reveal a miRNA locus that is required for erythropoiesis and uncover a new regulatory axis through which GATA-1 controls this process.
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Transcription of this locus is regulated by hematopoietic transcription factor GATA-1.
“Transcription of this locus is regulated by hematopoietic transcription factor GATA-1 [24, 25].”
From Novel Approach to Fecal Occult Blood Testing by Assay of Erythrocyte-Specific microRNA Markers (2017) · cites this paper as [24]
hsa-miR-144-3p/5p and hsa-miR-451a are members of the hsa-miR-144/451 cluster located on chromosome 11.
“It is known that both hsa-miR-144-3p/5p and hsa-miR-451a are members of the hsa-miR-144/451 cluster located on chromosome 11.”
From Novel Approach to Fecal Occult Blood Testing by Assay of Erythrocyte-Specific microRNA Markers (2017) · cites this paper as [24]
Mature hsa-miR-144-3p and hsa-miR-451a regulate erythropoiesis.
“Mature hsa-miR-144-3p (major product of precursor hsa-miR-144) and hsa-miR-451a regulate erythropoiesis.”
From Novel Approach to Fecal Occult Blood Testing by Assay of Erythrocyte-Specific microRNA Markers (2017) · cites this paper as [24]
Cites
Taganov, K. D., Boldin, M. P., Chang, K.-J., & Baltimore, D. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605298103 · Cited by 4,317 · see citing works
Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis
Chang, T.-C., Wentzel, E. A., Kent, O. A., Ramachandran, K., Mullendore, M., Lee, K. H., Feldmann, G., Yamakuchi, M., Ferlito, M., Lowenstein, C. J., et al. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.05.010 · Cited by 2,010 · see citing works
Yu, C., Cantor, A. B., Yang, H., Browne, C., Wells, R. A., Fujiwara, Y., & Orkin, S. H. (2002) · The Journal of Experimental Medicine · doi:10.1084/jem.20020656 · Cited by 600 · see citing works
Weiss, M. J., Keller, G., & Orkin, S. H. (1994) · Genes & Development · doi:10.1101/gad.8.10.1184 · Cited by 541 · see citing works
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Cheng, Y., Wu, W., Ashok Kumar, S., Yu, D., Deng, W., Tripic, T., King, D. C., Chen, K.-B., Zhang, Y., Drautz, D., et al. (2009) · Genome Research · doi:10.1101/gr.098921.109 · Cited by 223 · see citing works
Self-citationNovel Approach to Fecal Occult Blood Testing by Assay of Erythrocyte-Specific microRNA Markers
Wu, C. W., Cao, X., Berger, C. K., Foote, P. H., Mahoney, D. W., Simonson, J. A., Anderson, B. W., Yab, T. C., Taylor, W. R., Boardman, L. A., et al. (2017) · Digestive Diseases and Sciences · doi:10.1007/s10620-017-4627-6 · Cited by 37 · see citing works
- Authors
- Dore, L. C., Amigo, J. D., dos Santos, C. O., Zhang, Z., Gai, X., Tobias, J. W., Yu, D., Klein, A. M., Dorman, C., Wu, W., Hardison, R. C., Paw, B. H., & Weiss, M. J.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2008-03-04
- Volume
- 105
- Issue
- 9
- Pages
- 3333-3338
- ISSN
- 0027-8424
- 1091-6490
- Cited by
- 308
- References
- 4
- Language
- en
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