Evidence map›Paper›PMID 20010937›Full record

ArticleNature protocols2009

EOS lentiviral vector selection system for human induced pluripotent stem cells.

Akitsu Hotta, Aaron Y L Cheung, Natalie Farra, Kamal Garcha, Wing Y Chang, Peter Pasceri, William L Stanford, James Ellis

Abstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

38 citing papers in PubMed, 89 citations in OpenAlex.

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  15. Biological noise and positional effects influence cell stemness.The Journal of biological chemistry · 2018
    Article
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  19. Mutations inMolecular autism · 2017
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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

8 authors at 2 institutions in 1 country.

Akitsu HottaDevelopmental and Stem Cell Biology Program, SickKids, Toronto, Ontario, Canada.
Aaron Y L Cheung
Natalie Farra
Kamal Garcha
Wing Y Chang
Peter Pasceri
William L Stanford
James Ellis
University of Toronto · CASickKids Foundation · CA

Funding

Canadian Institutes of Health Research IG1-94505Canadian Institutes of Health Research MOP-186015Canadian Institutes of Health Research MOP-81129Canadian Institutes of Health Research RMF-92090
6 · The paper itself

Abstract

Generation of induced pluripotent stem (iPS) cells from patients has exciting applications for studying molecular mechanisms of diseases, screening drugs and ultimately for use in cell therapies. However, the low efficiency and heterogeneous nature of reprogramming is a major impediment to the generation of personalized iPS cell lines. We reported in Nature Methods (6, 370-376, 2009) the first selection system to enrich for reprogrammed human iPS cells. Using a lentiviral vector that specifically expresses the enhanced green fluorescence protein and puromycin resistance genes in pluripotent stem cells, it is now possible to mark and enrich for human iPS cell colonies expressing endogenous pluripotency markers. In this study, we describe a detailed protocol for the production of the pluripotent state-specific lentiviral vector and the selection system for the induction of healthy and disease-specific human iPS cells. Overall, preparation of the selection system takes 2 weeks, and the generation of human iPS cells takes approximately 2 months.

Indexed as

Cell Culture TechniquesGenetic VectorsAnimalsBiomarkersDrug ResistanceFibroblastsGreen Fluorescent ProteinsHumansInduced Pluripotent Stem CellsLentivirusMiceTransfectionBiomarkersGreen Fluorescent Proteins

Identifiers

PMID20010937
OpenAlexW2064037605

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.