Cargando…
Computational identification of the normal and perturbed genetic networks involved in myeloid differentiation and acute promyelocytic leukemia
BACKGROUND: Acute myeloid leukemia (AML) comprises a group of diseases characterized by the abnormal development of malignant myeloid cells. Recent studies have demonstrated an important role for aberrant transcriptional regulation in AML pathophysiology. Although several transcription factors (TFs)...
Autores principales: | , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2374711/ https://www.ncbi.nlm.nih.gov/pubmed/18291030 http://dx.doi.org/10.1186/gb-2008-9-2-r38 |
_version_ | 1782154518088122368 |
---|---|
author | Chang, Li Wei Payton, Jacqueline E Yuan, Wenlin Ley, Timothy J Nagarajan, Rakesh Stormo, Gary D |
author_facet | Chang, Li Wei Payton, Jacqueline E Yuan, Wenlin Ley, Timothy J Nagarajan, Rakesh Stormo, Gary D |
author_sort | Chang, Li Wei |
collection | PubMed |
description | BACKGROUND: Acute myeloid leukemia (AML) comprises a group of diseases characterized by the abnormal development of malignant myeloid cells. Recent studies have demonstrated an important role for aberrant transcriptional regulation in AML pathophysiology. Although several transcription factors (TFs) involved in myeloid development and leukemia have been studied extensively and independently, how these TFs coordinate with others and how their dysregulation perturbs the genetic circuitry underlying myeloid differentiation is not yet known. We propose an integrated approach for mammalian genetic network construction by combining the analysis of gene expression profiling data and the identification of TF binding sites. RESULTS: We utilized our approach to construct the genetic circuitries operating in normal myeloid differentiation versus acute promyelocytic leukemia (APL), a subtype of AML. In the normal and disease networks, we found that multiple transcriptional regulatory cascades converge on the TFs Rora and Rxra, respectively. Furthermore, the TFs dysregulated in APL participate in a common regulatory pathway and may perturb the normal network through Fos. Finally, a model of APL pathogenesis is proposed in which the chimeric TF PML-RARα activates the dysregulation in APL through six mediator TFs. CONCLUSION: This report demonstrates the utility of our approach to construct mammalian genetic networks, and to obtain new insights regarding regulatory circuitries operating in complex diseases in humans. |
format | Text |
id | pubmed-2374711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23747112008-05-09 Computational identification of the normal and perturbed genetic networks involved in myeloid differentiation and acute promyelocytic leukemia Chang, Li Wei Payton, Jacqueline E Yuan, Wenlin Ley, Timothy J Nagarajan, Rakesh Stormo, Gary D Genome Biol Research BACKGROUND: Acute myeloid leukemia (AML) comprises a group of diseases characterized by the abnormal development of malignant myeloid cells. Recent studies have demonstrated an important role for aberrant transcriptional regulation in AML pathophysiology. Although several transcription factors (TFs) involved in myeloid development and leukemia have been studied extensively and independently, how these TFs coordinate with others and how their dysregulation perturbs the genetic circuitry underlying myeloid differentiation is not yet known. We propose an integrated approach for mammalian genetic network construction by combining the analysis of gene expression profiling data and the identification of TF binding sites. RESULTS: We utilized our approach to construct the genetic circuitries operating in normal myeloid differentiation versus acute promyelocytic leukemia (APL), a subtype of AML. In the normal and disease networks, we found that multiple transcriptional regulatory cascades converge on the TFs Rora and Rxra, respectively. Furthermore, the TFs dysregulated in APL participate in a common regulatory pathway and may perturb the normal network through Fos. Finally, a model of APL pathogenesis is proposed in which the chimeric TF PML-RARα activates the dysregulation in APL through six mediator TFs. CONCLUSION: This report demonstrates the utility of our approach to construct mammalian genetic networks, and to obtain new insights regarding regulatory circuitries operating in complex diseases in humans. BioMed Central 2008 2008-02-21 /pmc/articles/PMC2374711/ /pubmed/18291030 http://dx.doi.org/10.1186/gb-2008-9-2-r38 Text en Copyright © 2008 Chang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Chang, Li Wei Payton, Jacqueline E Yuan, Wenlin Ley, Timothy J Nagarajan, Rakesh Stormo, Gary D Computational identification of the normal and perturbed genetic networks involved in myeloid differentiation and acute promyelocytic leukemia |
title | Computational identification of the normal and perturbed genetic networks involved in myeloid differentiation and acute promyelocytic leukemia |
title_full | Computational identification of the normal and perturbed genetic networks involved in myeloid differentiation and acute promyelocytic leukemia |
title_fullStr | Computational identification of the normal and perturbed genetic networks involved in myeloid differentiation and acute promyelocytic leukemia |
title_full_unstemmed | Computational identification of the normal and perturbed genetic networks involved in myeloid differentiation and acute promyelocytic leukemia |
title_short | Computational identification of the normal and perturbed genetic networks involved in myeloid differentiation and acute promyelocytic leukemia |
title_sort | computational identification of the normal and perturbed genetic networks involved in myeloid differentiation and acute promyelocytic leukemia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2374711/ https://www.ncbi.nlm.nih.gov/pubmed/18291030 http://dx.doi.org/10.1186/gb-2008-9-2-r38 |
work_keys_str_mv | AT changliwei computationalidentificationofthenormalandperturbedgeneticnetworksinvolvedinmyeloiddifferentiationandacutepromyelocyticleukemia AT paytonjacquelinee computationalidentificationofthenormalandperturbedgeneticnetworksinvolvedinmyeloiddifferentiationandacutepromyelocyticleukemia AT yuanwenlin computationalidentificationofthenormalandperturbedgeneticnetworksinvolvedinmyeloiddifferentiationandacutepromyelocyticleukemia AT leytimothyj computationalidentificationofthenormalandperturbedgeneticnetworksinvolvedinmyeloiddifferentiationandacutepromyelocyticleukemia AT nagarajanrakesh computationalidentificationofthenormalandperturbedgeneticnetworksinvolvedinmyeloiddifferentiationandacutepromyelocyticleukemia AT stormogaryd computationalidentificationofthenormalandperturbedgeneticnetworksinvolvedinmyeloiddifferentiationandacutepromyelocyticleukemia |