PuSH - Publication Server of Helmholtz Zentrum München: Direct Reprogramming of Somatic Cells into Induced Neuronal Cells: Where We Are and Where We Want to Go.

Information

Clues to quality of journals

Open Access Policy of Helmholtz Association 2016

CC Licencences

Publication Metrics

Navigation

Home

Deutsch

Research

Advanced Search

Browse by ...

... HMGU-Authors/Consortia

... Organizational Structure

... Journal

... Publication Type

... Research Data

... Arbeitsgruppen

... Publication Year

Publication overview

Statistics

Statistics (last 5 years)

OA Publications

Publish

Submit Publication

Import publication from...

...EVA

Report missing publication

Highlights

Support & Contact

Contact persons

Help

Data protection

Helmholtz Open Science

JANE Journal Estimator

SHERPA/RoMEO

DOAJ

Export:

Text

Endnote (RIS) BIB

BibTeX

Masserdotti, G. ; Berninger, B.*

Direct Reprogramming of Somatic Cells into Induced Neuronal Cells: Where We Are and Where We Want to Go.

In:. 2015. 175-195 (Stem Cell Biology and Regenerative Medicine ; Part F4879)

DOI

Abstract
Metrics
Extra information

Direct reprogramming of somatic cells has emerged as a novel strategy to generate neurons, including those of human origin. The method provides enormous potential for studying the mechanisms directing neuronal differentiation, the modeling of neurodegenerative diseases, and the development of potential novel approaches for brain repair. In this chapter, we briefly trace the history of reprogramming, as well as the strategies employed to date for converting different types of somatic cells, including fibroblasts, hepatocytes, astrocytes, and pericytes into induced neuronal cells of different subtype identity. Reprogramming involves particular emphasis on transcriptional and posttranscriptional mechanisms, which include an arsenal of transcription factors, including among others the pro-neural genes Ascl1 and Neurog2, noncoding RNAs such as miRNA 124 and miRNA 9/9*, and epigenetic modifiers such as the brahma-associated factors (BAF) complex summarized in Fig. 1. Finally, we discuss upcoming challenges to further improve this technology and the promises it holds for our understanding and treatment of currently incurable diseases.

Altmetric