↓ Skip to main content

PLOS

A Defined, Feeder-Free, Serum-Free System to Generate In Vitro Hematopoietic Progenitors and Differentiated Blood Cells from hESCs and hiPSCs

Overview of attention for article published in PLOS ONE, March 2011
Altmetric Badge

Mentioned by

blogs
1 blog
patent
15 patents

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
154 Mendeley
Title
A Defined, Feeder-Free, Serum-Free System to Generate In Vitro Hematopoietic Progenitors and Differentiated Blood Cells from hESCs and hiPSCs
Published in
PLOS ONE, March 2011
DOI 10.1371/journal.pone.0017829
Pubmed ID
Authors

Giorgia Salvagiotto, Sarah Burton, Christine A. Daigh, Deepika Rajesh, Igor I. Slukvin, Nicholas J. Seay

Abstract

Human ESC and iPSC are an attractive source of cells of high quantity and purity to be used to elucidate early human development processes, for drug discovery, and in clinical cell therapy applications. To efficiently differentiate pluripotent cells into a pure population of hematopoietic progenitors we have developed a new 2-dimensional, defined and highly efficient protocol that avoids the use of feeder cells, serum or embryoid body formation. Here we showed that a single matrix protein in combination with growth factors and a hypoxic environment is sufficient to generate from pluripotent cells hematopoietic progenitors capable of differentiating further in mature cell types of different lineages of the blood system. We tested the differentiation method using hESCs and 9 iPSC lines generated from different tissues. These data indicate the robustness of the protocol providing a valuable tool for the generation of clinical-grade hematopoietic cells from pluripotent cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 1 <1%
Thailand 1 <1%
Switzerland 1 <1%
Unknown 149 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 27%
Student > Ph. D. Student 38 25%
Student > Master 12 8%
Student > Bachelor 12 8%
Student > Postgraduate 7 5%
Other 23 15%
Unknown 21 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 40%
Biochemistry, Genetics and Molecular Biology 30 19%
Medicine and Dentistry 15 10%
Engineering 5 3%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 13 8%
Unknown 25 16%