Evidence map›Paper›PMID 19337233›Full record

ReviewMolecular therapy : the journal of the American Society of Gene Therapy2009

Upping the ante: recent advances in direct reprogramming.

Lars U W Müller, George Q Daley, David A Williams

Abstract readReview
In one paragraph

Review in Molecular therapy : the journal of the American Society of Gene Therapy, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  15. Modeling hepatitis C virus infection using human induced pluripotent stem cells.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Lars U W MüllerDepartment of Medicine, Division of Pediatric Hematology Oncology, Children's Hospital Boston, Boston, Massachusetts 02115, USA.
George Q Daley
David A Williams

Funding

Chemoresistance and Stem Cell SelectionR01DK074310 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI WILLIAMS, DAVID A · 2006 to 2010
$1.8M
Novel Molecular and Cellular Therapies in Fanconi AnemiaR01HL081499 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI WILLIAMS, DAVID A · 2006 to 2009
$1.3M
NHLBI NIH HHS R01 HL081499NIDDK NIH HHS DK074310NIDDK NIH HHS R01 DK074310
6 · The paper itself

Abstract

The concept of reversing the characteristics of differentiated tissues to pluripotency through reprogramming was introduced over 50 years ago in the first somatic cell nuclear transfer (SCNT) experiments. More recently, direct reprogramming of differentiated somatic cells by gene transfer of a small number of defined transcription factors has been shown to yield cells that are indistinguishable from inner cell mass-derived embryonic stem (ES) cells. These cells, termed induced pluripotent stem (iPS) cells, offer exciting possibilities for studying mechanism of pluripotency, establishing models for disease-specific investigations, and enabling future applications in regenerative medicine. In this review, we discuss the basic foundation of reestablishing pluripotency and recent progress toward enhancing the efficiency and safety of the process through optimization of the reprogramming factor combination, identification of small molecules that augment efficiency, and assessment of distinct target cells in reprogramming efficiency. We also highlight recent advances that eliminate stable genetic modification from the reprogramming process, and summarize preclinical models that provide proof-of-concept for ES/iPS cell-based regenerative medicine.

Indexed as

AnimalsCell- and Tissue-Based TherapyCell DifferentiationCellular ReprogrammingGenetic VectorsHumansModels, BiologicalPluripotent Stem Cells

Identifiers

PMID19337233
PMCPMC2835184

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.