| Title |
LIM Domain Only-2 (LMO2) Induces T-Cell Leukemia by Two Distinct Pathways
|
|---|---|
| Published in |
PLOS ONE, January 2014
|
| DOI | 10.1371/journal.pone.0085883 |
| Pubmed ID | |
| Authors |
Stephen Smith, Rati Tripathi, Charnise Goodings, Susan Cleveland, Elizabeth Mathias, J. Andrew Hardaway, Natalina Elliott, Yajun Yi, Xi Chen, James Downing, Charles Mullighan, Deborah A. Swing, Lino Tessarollo, Liqi Li, Paul Love, Nancy A. Jenkins, Neal G. Copeland, Mary Ann Thompson, Yang Du, Utpal P. Davé |
| Abstract |
The LMO2 oncogene is deregulated in the majority of human T-cell leukemia cases and in most gene therapy-induced T-cell leukemias. We made transgenic mice with enforced expression of Lmo2 in T-cells by the CD2 promoter/enhancer. These transgenic mice developed highly penetrant T-ALL by two distinct patterns of gene expression: one in which there was concordant activation of Lyl1, Hhex, and Mycn or alternatively, with Notch1 target gene activation. Most strikingly, this gene expression clustering was conserved in human Early T-cell Precursor ALL (ETP-ALL), where LMO2, HHEX, LYL1, and MYCN were most highly expressed. We discovered that HHEX is a direct transcriptional target of LMO2 consistent with its concordant gene expression. Furthermore, conditional inactivation of Hhex in CD2-Lmo2 transgenic mice markedly attenuated T-ALL development, demonstrating that Hhex is a crucial mediator of Lmo2's oncogenic function. The CD2-Lmo2 transgenic mice offer mechanistic insight into concordant oncogene expression and provide a model for the highly treatment-resistant ETP-ALL subtype. |
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Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Researcher | 9 | 18% |
| Student > Doctoral Student | 6 | 12% |
| Student > Bachelor | 5 | 10% |
| Student > Master | 4 | 8% |
| Other | 5 | 10% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 27% |
| Agricultural and Biological Sciences | 8 | 16% |
| Medicine and Dentistry | 7 | 14% |
| Immunology and Microbiology | 5 | 10% |
| Psychology | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 14 | 27% |