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Why it is crucial to analyze non clonal chromosome aberrations or NCCAs?

Overview of attention for article published in Molecular Cytogenetics, February 2016
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Title
Why it is crucial to analyze non clonal chromosome aberrations or NCCAs?
Published in
Molecular Cytogenetics, February 2016
DOI 10.1186/s13039-016-0223-2
Pubmed ID
Authors

Henry H. Q. Heng, Sarah M. Regan, Guo Liu, Christine J. Ye

Abstract

Current cytogenetics has largely focused its efforts on the identification of recurrent karyotypic alterations, also known as clonal chromosomal aberrations (CCAs). The rationale of doing so seems simple: recurrent genetic changes are relevant for diseases or specific physiological conditions, while non clonal chromosome aberrations (NCCAs) are insignificant genetic background or noise. However, in reality, the vast majority of chromosomal alterations are NCCAs, and it is challenging to identify commonly shared CCAs in most solid tumors. Furthermore, the karyotype, rather than genes, represents the system inheritance, or blueprint, and each NCCA represents an altered genome system. These realizations underscore the importance of the re-evaluation of NCCAs in cytogenetic analyses. In this concept article, we briefly review the definition of NCCAs, some historical misconceptions about them, and why NCCAs are not insignificant "noise," but rather a highly significant feature of the cellular population for providing genome heterogeneity and complexity, representing one important form of fuzzy inheritance. The frequencies of NCCAs also represent an index to measure both internally- and environmentally-induced genome instability. Additionally, the NCCA/CCA cycle is associated with macro- and micro-cellular evolution. Lastly, elevated NCCAs are observed in many disease/illness conditions. Considering all of these factors, we call for the immediate action of studying and reporting NCCAs. Specifically, effort is needed to characterize and compare different types of NCCAs, to define their baseline in various tissues, to develop methods to access mitotic cells, to re-examine/interpret the NCCAs data, and to develop an NCCA database.

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The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Professor > Associate Professor 4 11%
Researcher 4 11%
Student > Bachelor 4 11%
Student > Master 3 8%
Other 5 14%
Unknown 9 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 35%
Agricultural and Biological Sciences 7 19%
Physics and Astronomy 2 5%
Medicine and Dentistry 2 5%
Nursing and Health Professions 1 3%
Other 2 5%
Unknown 10 27%