Special Issue "Genomic Instability and Cancers"
A special issue of Cancers (ISSN 2072-6694).
Deadline for manuscript submissions: closed (15 April 2013)
Prof. Dr. Sabine Mai
Manitoba Institute of Cell Biology, University of Manitoba, 6046-675 McDermot Avenue, Winnipeg, Mb R3E 0V9, Canada
Interests: genomic instability; cancer; nuclear architecture; oncogenes; c-myc; mouse models of cancer; translational research; telomeres; molecular cytogenetics; molecular imaging; 3D imaging; super resolution imaging
This special issue on Genomic Instability and Cancer is dedicated to our understanding of the processes of genomic instability in cancer, to the initiation of genomic instability and the dynamics of its propagation. Focus will be mechanisms of genomic instability in cancer taking into account diverse approaches and models in the field.
Prof. Dr. Sabine Mai
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed Open Access quarterly journal published by MDPI.
- genomic instability
- fragile sites
- evolutionary breakpoints
- complex rearrangements
- tumor cell heterogeneity
- experimental models of cancer
- computer modeling
- molecular imaging
- next generation sequencing
- nuclear architecture