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A combinatorial approach to generate blood cells in vitro
Forrester, Lesley
(Principal Investigator)
School of Regeneration and Repair
School of Population Health Sciences
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
1/04/17
→
31/03/19
Funding
UK central government bodies/local authorities, health and hospital authorities:
£526,264.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Hematopoietic Cell
Immunology and Microbiology
100%
Single Cell Analysis
Immunology and Microbiology
100%
Single-Cell Analysis
Biochemistry, Genetics and Molecular Biology
100%
Pluripotent Stem Cell
Immunology and Microbiology
25%
In Vitro
Immunology and Microbiology
25%
Stem Cell
Biochemistry, Genetics and Molecular Biology
25%
RNA Sequence
Immunology and Microbiology
16%
Transcriptome
Immunology and Microbiology
16%
Research output
Research output per year
2020
2020
2020
1
Article
Research output per year
Research output per year
Single cell analyses and machine learning define hematopoietic progenitor and HSC-like cells derived from human PSCs
Fidanza, A.
, Stumpf, P. S.,
Ramachandran, P.
, Tamagno, S., Babtie, A., Lopez Yrigoyen, M., Taylor, H., Easterbrook, J.,
Henderson, B.
, Axton, R.,
Henderson, N. C.
,
Medvinsky, A.
,
Ottersbach, K.
,
Romanò, N.
&
Forrester, L.
,
17 Dec 2020
,
In:
Blood.
136
,
25
,
p. 2893–2904
12 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Hematopoietic Cell
100%
Single Cell Analysis
100%
Single-Cell Analysis
100%
Pluripotent Stem Cell
25%
In Vitro
25%