DOI

The gene therapy approach aiming at curing various human diseases began to develop as a technology from early eighties of the last century. To date the delivery of therapeutic genes are mainly mediated by virus-based, predominantly, non-integrated virus vectors. These gene delivery approaches have several fundamental limitations on the way of efficient deployment in clinical gene therapy. A totally different approach was suggested about 20 years ago when episomal non-integrative artificial chromosome-based vectors featuring large size inserts (even native gene loci) advanced to the stage. Since then numerous human artificial chromosome (HAC) vectors were developed by both de novo synthesis and top-down engineering technology. This approach so far is limited to ex vivo gene transfer and correction within highly proliferative or reversibly immortalized precursor stem cells or pluripotent stem cells. Recent breakthrough in generation of induced pluripotent stem cells and embryonic stem cell manipulation give the additional pivotal stimuli to integrate it with the HAC technology and to develop thereby novel approaches to replacement therapies of human genetic diseases. The HAC technology is complex and time consuming while nowadays it has significantly advanced and become notably closer to medical applications. In this review we discuss current advancements in the HAC technology, in particular, in terms of improvement of chromosome transfer method and achievements in developing mouse-based gene therapy tissue replacement models for several monogenic human diseases. The main progress has been done in elaboration of top-down type HAC technology in modeling and preclinical studies of gene therapy treatment for Duchenne muscular dystrophy (DMD) disease.

Язык оригиналаанглийский
Номер статьи111882
Число страниц15
ЖурналExperimental Cell Research
Том389
Номер выпуска1
Дата раннего онлайн-доступа1 фев 2020
DOI
СостояниеОпубликовано - 1 апр 2020
Опубликовано для внешнего пользованияДа

    Предметные области Scopus

  • Клеточная биология

ID: 51622822