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Chitosan and its derivatives for gene delivery

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2011Publisher:Elsevier BVJournal:International Journal of Biological Macromolecules, volume 48, pages 234-238 (issn: 0141-8130,

Authors: M. Pandima Devi; Sekaran Saravanan; Nagarajan Selvamurugan; A. Moorthi; N. Saranya;

doi: 10.1016/j.ijbiomac.2010.11.013

pmid: 21134396

Chitosan and its derivatives for gene delivery

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Abstract

Gene delivery can particularly be used for the treatment of diseases by the insertion of genetic materials (DNA and RNA) into mammalian cells either to express new proteins or to prevent the expression of existing proteins. Chitosan, a natural polymer is nontoxic, biocompatible, and biodegradable and it is used as a support material for gene delivery. However, practical use of chitosan has been mainly limited to its unmodified forms, and thus modified chitosans can be used for the wide range of biomedical applications including the interaction and intracellular delivery of genetic materials. In this context, this review paper provides the recent development on chitosan derivatives available for gene delivery.

Related Organizations

Department of Biotechnology
India
SRM Institute of Science and Technology
India
SRM University
India

Keywords

Chitosan, Gene Transfer Techniques, RNA, Small Interfering

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	225
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%