Volume 8 Supplement 1

15th International Conference on Human Retroviruses: HTLV and Related Viruses

Open Access

MicroRNA expression in HTLV-1 infection and pathogenesis

  • Donna M D'Agostino1, 2Email author,
  • Katia Ruggero1,
  • Marta Biasiolo3,
  • Stefania Bortoluzzi3,
  • Cynthia A Pise-Masison4,
  • Alberto Corradin5,
  • Katia Basso6,
  • Alessandro Guffanti7,
  • Gianluca De Bellis7,
  • Giorgio Corti7,
  • Paola Zanovello1, 2,
  • Vincenzo Bronte2 and
  • Vincenzo Ciminale1, 2
Retrovirology20118(Suppl 1):A156

https://doi.org/10.1186/1742-4690-8-S1-A156

Published: 6 June 2011

Our laboratory is examining the profiles of microRNA expression in ATLL cells and infected T-cell lines using microarrays and small RNA libraries.

Microarray analysis of ATLL samples revealed 6 upregulated and 21 downregulated microRNAs in ATLL cells compared to CD4+ T-cell controls. Potential targets for deregulated microRNAs were identified by integrating microRNA and mRNA expression profiles. Current experiments are aimed at verifying these predicted microRNA-target interactions.

Mass sequencing of small RNA libraries prepared from normal CD4+ cells and two chronically infected T-cell lines yielded panels of known and candidate new microRNAs for each library. Comparison of frequencies of known microRNAs led to the identification of a small number of microRNAs differentially expressed in both infected cell lines compared to controls. Most of the candidate new microRNAs were intragenic with poor species conservation, suggesting that they might have particular roles in human T-cell function. Two sequences mapped to the HTLV-1 genome, suggesting that the virus may produce its own microRNAs. Further analyses of the new cellular and viral microRNA candidates are in progress.

Authors’ Affiliations

(1)
Department of Oncology and Surgical Sciences, University of Padova
(2)
Istituto Oncologico Veneto-IRCCS
(3)
Department of Biology, University of Padova
(4)
Animal Models and Retroviral Vaccines Section, NCI, NIH
(5)
Department of Information Engineering, University of Padova
(6)
Institute for Cancer Genetics, Columbia University
(7)
Institute of Biomedical Technologies, National Research Council

Copyright

© D'Agostino et al; licensee BioMed Central Ltd. 2011

This article is published under license to BioMed Central Ltd. 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.

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