Evidence map›Paper›PMID 25762177›Full record

ReviewBlood2015

De novo generation of HSCs from somatic and pluripotent stem cell sources.

Linda T Vo, George Q Daley

Abstract readReview
In one paragraph

Review in Blood, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

72 citing papers in PubMed.

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12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Linda T VoStem Cell Transplantation Program, Division of Hematology and Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA.
George Q DaleyStem Cell Transplantation Program, Division of Hematology and Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA.

Funding

HARVARD CLINICAL AND TRANSLATIONAL SCIENCE CENTER (UL1)UL1RR025758 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$91.4M
Customized stem cells for clinical application in blood disordersR24DK092760 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI COLLINS, JAMES J, DALEY, GEORGE Q · 2011 to 2018
$10.7M
Human Pluripotent Stem Cell and Progenitor Models of Cardiac and Blood DiseasesU01HL100001 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI DALEY, GEORGE Q, ORKIN, STUART H · 2009 to 2015
$8.9M
Howard Hughes Medical InstituteNCRR NIH HHS UL1 RR025758NHLBI NIH HHS U01 HL100001NHLBI NIH HHS U01-HL100001NIDDK NIH HHS R24 DK092760NIDDK NIH HHS R24-DK092760
6 · The paper itself

Abstract

Generating human hematopoietic stem cells (HSCs) from autologous tissues, when coupled with genome editing technologies, is a promising approach for cellular transplantation therapy and for in vitro disease modeling, drug discovery, and toxicology studies. Human pluripotent stem cells (hPSCs) represent a potentially inexhaustible supply of autologous tissue; however, to date, directed differentiation from hPSCs has yielded hematopoietic cells that lack robust and sustained multilineage potential. Cellular reprogramming technologies represent an alternative platform for the de novo generation of HSCs via direct conversion from heterologous cell types. In this review, we discuss the latest advancements in HSC generation by directed differentiation from hPSCs or direct conversion from somatic cells, and highlight their applications in research and prospects for therapy.

Indexed as

AnimalsCell- and Tissue-Based TherapyCell Culture TechniquesCell DifferentiationCell EngineeringCell LineageCellular ReprogrammingDrug Evaluation, PreclinicalHematopoietic Stem CellsHumansPluripotent Stem Cells

Identifiers

PMID25762177
PMCPMC4408289

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.