| Title |
The highly related DEAD box RNA helicases p68 and p72 exist as heterodimers in cells
|
|---|---|
| Published in |
Nucleic Acids Research, March 2003
|
| DOI | 10.1093/nar/gkg236 |
| Pubmed ID | |
| Authors |
V. C. Ogilvie, B. J. Wilson, S. M. Nicol, N. A. Morrice, L. R. Saunders, G. N. Barber, F. V. Fuller‐Pace |
| Abstract |
The RNA helicases p68 and p72 are highly related members of the DEAD box family of proteins, sharing 90% identity across the conserved core, and have been shown to be involved in both transcription and mRNA processing. We previously showed that these proteins co-localise in the nucleus of interphase cells. In this study we show that p68 and p72 can interact with each other and self-associate in the yeast two-hybrid system. Co-immunoprecipitation experiments confirmed that p68 and p72 can interact in the cell and indicated that these proteins preferentially exist as hetero-dimers. In addition, we show that p68 can interact with NFAR-2, a protein that is also thought to function in mRNA processing. Moreover, gel filtration analysis suggests that p68 and p72 can exist in a variety of complexes in the cell (ranging from approximately 150 to approximately 400 kDa in size), with a subset of p68 molecules being in very large complexes (>2 MDa). The potential to exist in different complexes that may contain p68 and/or p72, together with a range of other factors, would provide the potential for these proteins to interact with different RNA substrates and would be consistent with recent reports implying a wide range of functions for p68/p72. |
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Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| United States | 2 | 3% |
| Russia | 1 | 1% |
| Unknown | 63 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 33% |
| Student > Ph. D. Student | 11 | 16% |
| Student > Bachelor | 7 | 10% |
| Student > Postgraduate | 5 | 7% |
| Student > Master | 4 | 6% |
| Other | 3 | 4% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 33% |
| Agricultural and Biological Sciences | 22 | 32% |
| Medicine and Dentistry | 4 | 6% |
| Immunology and Microbiology | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 15 | 22% |