Direct Conversion of Human Umbilical Cord Blood into Induced Neural Stem Cells with SOX2 and HMGA2.
- Author:
Jae Jun KIM
1
;
Ji Hee SHIN
;
Kyung Rok YU
;
Byung Chul LEE
;
Insung KANG
;
Jin Young LEE
;
Da Hyun KIM
;
Yoojin SEO
;
Hyung Sik KIM
;
Soon Won CHOI
;
Kyung Sun KANG
Author Information
- Publication Type:Original Article
- Keywords: Human umbilical cord blood; Induced neural stem cells; Reprogramming; Direct conversion
- MeSH: Animals; Fetal Blood*; Fibroblasts; Humans*; In Vitro Techniques; Methods; Mice; Neural Stem Cells*; Neuroglia; Neurons; Regenerative Medicine; Transcription Factors; Umbilical Cord*
- From:International Journal of Stem Cells 2017;10(2):227-234
- CountryRepublic of Korea
- Language:English
- Abstract: Recent advances have shown the direct reprogramming of mouse and human fibroblasts into induced neural stem cells (iNSCs) without passing through an intermediate pluripotent state. Thus, direct reprogramming strategy possibly provides a safe and homogeneous cellular platform. However, the applications of iNSCs for regenerative medicine are limited by the restricted availability of cell sources. Human umbilical cord blood (hUCB) cells hold great potential in that immunotyped hUCB units can be immediately obtained from public banks. Moreover, hUCB samples do not require invasive procedures during collection or an extensive culture period prior to reprogramming. We recently reported that somatic cells can be directly converted into iNSCs with high efficiency and a short turnaround time. Here, we describe the detailed method for the generation of iNSCs derived from hUCB (hUCB iNSCs) using the lineage-specific transcription factors SOX2 and HMGA2. The protocol for deriving iNSC-like colonies takes 1~2 weeks and establishment of homogenous hUCB iNSCs takes additional 2 weeks. Established hUCB iNSCs are clonally expandable and multipotent producing neurons and glia. Our study provides an accessible method for generating hUCB iNSCs, contributing development of in vitro neuropathological model systems.
