
The High Mobility Group A (HMGA) are nuclear proteins that participate in the organization of nucleoprotein complexes involved in chromatin structure, replication and gene transcription. HMGA overexpression is a feature of human cancer and plays a causal role in cell transformation. Since non-coding RNAs and pseudogenes are now recognized to be important in physiology and disease, we investigated HMGA1 pseudogenes in cancer settings using bioinformatics analysis. Here we report the identification and characterization of two HMGA1 non-coding pseudogenes, HMGA1P6 and HMGA1P7. We show that their overexpression increases the levels of HMGA1 and other cancer-related proteins by inhibiting the suppression of their synthesis mediated by microRNAs. Consistently, embryonic fibroblasts from HMGA1P7-overexpressing transgenic mice displayed a higher growth rate and reduced susceptibility to senescence. Moreover, HMGA1P6 and HMGA1P7 were overexpressed in human anaplastic thyroid carcinomas, which are highly aggressive, but not in differentiated papillary carcinomas, which are less aggressive. Lastly, the expression of the HMGA1 pseudogenes was significantly correlated with HMGA1 protein levels thereby implicating HMGA1P overexpression in cancer progression. In conclusion, HMGA1P6 and HMGA1P7 are potential proto-oncogenic competitive endogenous RNAs.
HMGA1, Time Factors, Apoptosis, Mice, Transgenic, Inbred C57BL, Transfection, Thyroid Carcinoma, Anaplastic, Transgenic, HMGA1P7, Mice, HMGA1P6, Anaplastic, Animals, Humans, Thyroid Neoplasms, Cellular Senescence, miRNA, Cell Proliferation, HMGA Proteins, Ovarian Neoplasms, Neoplastic, Gene Expression Profiling, Thyroid Carcinoma, Computational Biology, ceRNA, Fibroblasts, ceRNA; HMGA1; HMGA1P6; HMGA1P7; miRNA; Animals; Apoptosis; Cell Proliferation; Cellular Senescence; Computational Biology; Female; Fibroblasts; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; HEK293 Cells; HMGA Proteins; Humans; MCF-7 Cells; Mice, Inbred C57BL; Mice, Transgenic; MicroRNAs; Ovarian Neoplasms; Pseudogenes; RNA Interference; Thyroid Carcinoma, Anaplastic; Thyroid Neoplasms; Time Factors; Transfection, Gene Expression Regulation, Neoplastic, Mice, Inbred C57BL, MicroRNAs, HEK293 Cells, Gene Expression Regulation, MCF-7 Cells, Female, RNA Interference, Pseudogenes
HMGA1, Time Factors, Apoptosis, Mice, Transgenic, Inbred C57BL, Transfection, Thyroid Carcinoma, Anaplastic, Transgenic, HMGA1P7, Mice, HMGA1P6, Anaplastic, Animals, Humans, Thyroid Neoplasms, Cellular Senescence, miRNA, Cell Proliferation, HMGA Proteins, Ovarian Neoplasms, Neoplastic, Gene Expression Profiling, Thyroid Carcinoma, Computational Biology, ceRNA, Fibroblasts, ceRNA; HMGA1; HMGA1P6; HMGA1P7; miRNA; Animals; Apoptosis; Cell Proliferation; Cellular Senescence; Computational Biology; Female; Fibroblasts; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; HEK293 Cells; HMGA Proteins; Humans; MCF-7 Cells; Mice, Inbred C57BL; Mice, Transgenic; MicroRNAs; Ovarian Neoplasms; Pseudogenes; RNA Interference; Thyroid Carcinoma, Anaplastic; Thyroid Neoplasms; Time Factors; Transfection, Gene Expression Regulation, Neoplastic, Mice, Inbred C57BL, MicroRNAs, HEK293 Cells, Gene Expression Regulation, MCF-7 Cells, Female, RNA Interference, Pseudogenes
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 78 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
