Evidence map›Paper›PMID 28060340›Full record

ArticleJournal of visualized experiments : JoVE2016

Reprogramming Mouse Embryonic Fibroblasts with Transcription Factors to Induce a Hemogenic Program.

Michael G Daniel, Carlos-Filipe Pereira, Jeffrey M Bernitz, Ihor R Lemischka, Kateri Moore

Abstract readVideo-Audio Media
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 90% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

5 authors at 3 institutions in 3 countries.

Michael G DanielDepartment of Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai; The Graduate School of Biomedical Science, Icahn School of Medicine at Mount Sinai; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai.
Carlos-Filipe PereiraCenter for Neuroscience and Cell Biology, University of Coimbra.
Jeffrey M BernitzDepartment of Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai; The Graduate School of Biomedical Science, Icahn School of Medicine at Mount Sinai; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai.
Ihor R LemischkaDepartment of Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai; Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai.
Kateri MooreDepartment of Developmental and Regenerative Biology, Icahn School of Medicine at Mount Sinai; Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai; kateri.moore@mssm.edu.
Stem Cell Institute · PAIcahn School of Medicine at Mount Sinai · USUniversity of Coimbra · PT

Funding

Programming HematopoiesisR01HL119404 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LEMISCHKA, IHOR R, MOORE, KATERI A. · 2014 to 2017
$1.7M
NHLBI NIH HHS R01 HL119404
6 · The paper itself

Abstract

This protocol details the induction of a hemogenic program in mouse embryonic fibroblasts (MEFs) via overexpression of transcription factors (TFs). We first designed a reporter screen using MEFs from human CD34-tTA/TetO-H2BGFP (34/H2BGFP) double transgenic mice. CD34

Indexed as

AnimalsCell DifferentiationFibroblastsGene Expression RegulationHematopoiesisHematopoietic Stem CellsMiceTranscription FactorsTranscription Factors

Identifiers

PMID28060340
PMCPMC5226406
OpenAlexW2562271973

What OpenQuestion holds

Textmetadata
LicenceTDM
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.