Inducible and Deterministic Forward Programming of Human Pluripotent Stem Cells into Neurons, Skeletal Myocytes, and Oligodendrocytes.

Stem Cell Reports

Anne McLaren Laboratory, Wellcome Trust-MRC Stem Cell Institute, University of Cambridge, Cambridge CB2 0SZ, UK; Department of Clinical Neuroscience, University of Cambridge, Cambridge CB2 0QQ, UK. Electronic address:

Published: April 2017

AI Article Synopsis

  • The isolation of human cell types is difficult, leading researchers to explore alternative methods like direct conversion of human pluripotent stem cells (hPSCs) using transcription factors.
  • By improving the efficiency of gene expression in hPSCs through a dual safe harbor gene-targeting strategy, researchers have developed a more effective way to generate various human cell types.
  • The study showcases successful reprogramming of hPSCs into neurons, functional skeletal myocytes, and offers a fast method for producing human oligodendrocytes.

Article Abstract

The isolation or in vitro derivation of many human cell types remains challenging and inefficient. Direct conversion of human pluripotent stem cells (hPSCs) by forced expression of transcription factors provides a potential alternative. However, deficient inducible gene expression in hPSCs has compromised efficiencies of forward programming approaches. We have systematically optimized inducible gene expression in hPSCs using a dual genomic safe harbor gene-targeting strategy. This approach provides a powerful platform for the generation of human cell types by forward programming. We report robust and deterministic reprogramming of hPSCs into neurons and functional skeletal myocytes. Finally, we present a forward programming strategy for rapid and highly efficient generation of human oligodendrocytes.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390118PMC
http://dx.doi.org/10.1016/j.stemcr.2017.02.016DOI Listing

Publication Analysis

Top Keywords

forward programming
16
human pluripotent
8
pluripotent stem
8
stem cells
8
skeletal myocytes
8
human cell
8
cell types
8
inducible gene
8
gene expression
8
expression hpscs
8

Similar Publications

Making the Case for an International Childhood Cancer Data Partnership.

J Natl Cancer Inst

January 2025

Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.

Childhood cancers are a heterogeneous group of rare diseases, accounting for less than 2% of all cancers diagnosed worldwide. Most countries, therefore, do not have enough cases to provide robust information on epidemiology, treatment, and late effects, especially for rarer types of cancer. Thus, only through a concerted effort to share data internationally will we be able to answer research questions that could not otherwise be answered.

View Article and Find Full Text PDF
Article Synopsis
  • The study aimed to assess the feasibility of an online cognitive behavioral therapy (CBT) program for patients recovering from extremity fractures compared to usual care.
  • Despite enrolling 94 participants, recruitment showed a "yellow light," indicating some success but needing improvements.
  • Compliance with the CBT program was low, as only 60% completed all modules, leading to a "red light," suggesting significant changes are necessary before a larger trial can proceed.
View Article and Find Full Text PDF

Glioblastoma (GBM) is a highly aggressive adult brain cancer, characterised by poor prognosis and a dismal five-year survival rate. Despite significant knowledge gains in tumour biology, meaningful advances in patient survival remain elusive. The field of neuro-oncology faces many disease obstacles, one being the paucity of faithful models to advance preclinical research and guide personalised medicine approaches.

View Article and Find Full Text PDF

As the Internet of Things (IoT) expands globally, the challenge of signal transmission in remote regions without traditional communication infrastructure becomes prominent. An effective solution involves integrating aerial, terrestrial, and space components to form a Space-Air-Ground Integrated Network (SAGIN). This paper discusses an uplink signal scenario in which various types of data collection sensors as IoT devices use Unmanned Aerial Vehicles (UAVs) as relays to forward signals to low-Earth-orbit satellites.

View Article and Find Full Text PDF

Uncertainty-Aware Multimodal Trajectory Prediction via a Single Inference from a Single Model.

Sensors (Basel)

January 2025

Seamless Trans-X Lab (STL), School of Integrated Technology, Yonsei University, Incheon 21983, Republic of Korea.

In the domain of autonomous driving, trajectory prediction plays a pivotal role in ensuring the safety and reliability of autonomous systems, especially when navigating complex environments. Unfortunately, trajectory prediction suffers from uncertainty problems due to the randomness inherent in the driving environment, but uncertainty quantification in trajectory prediction is not widely addressed, and most studies rely on deep ensembles methods. This study presents a novel uncertainty-aware multimodal trajectory prediction (UAMTP) model that quantifies aleatoric and epistemic uncertainties through a single forward inference.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!