Evidence map›Paper›PMID 30364711›Full record

ArticleBiotechnology reports (Amsterdam, Netherlands)2018

Partial reprogramming of heterologous cells by defined factors to generate megakaryocyte lineage-restricted biomolecules.

Crisbel M Artuz, Alexander J Knights, Alister P W Funnell, Thomas J Gonda, Katya Ravid, Richard C M Pearson, Kate G R Quinlan, Merlin Crossley

Open access · goldAbstract read
In one paragraph

Article in Biotechnology reports (Amsterdam, Netherlands), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 51% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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 3 institutions in 2 countries.

Crisbel M ArtuzSchool of Biotechnology and Biomolecular Sciences, UNSW Sydney, New South Wales, 2052, Australia.
Alexander J KnightsSchool of Biotechnology and Biomolecular Sciences, UNSW Sydney, New South Wales, 2052, Australia.
Alister P W FunnellSchool of Biotechnology and Biomolecular Sciences, UNSW Sydney, New South Wales, 2052, Australia.
Thomas J GondaSchool of Pharmacy, The University of Queensland, Queensland, 4102, Australia.
Katya RavidDepartment of Medicine, Boston University School of Medicine, Massachusetts, 02118, United States.
Richard C M PearsonSchool of Biotechnology and Biomolecular Sciences, UNSW Sydney, New South Wales, 2052, Australia.
Kate G R QuinlanSchool of Biotechnology and Biomolecular Sciences, UNSW Sydney, New South Wales, 2052, Australia.
Merlin CrossleySchool of Biotechnology and Biomolecular Sciences, UNSW Sydney, New South Wales, 2052, Australia.
UNSW Sydney · AUBoston University · USThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability of transcriptional regulators to drive lineage conversion of somatic cells offers great potential for the treatment of human disease. To explore the concept of switching on specific target genes in heterologous cells, we developed a model system to screen candidate factors for their ability to activate the archetypal megakaryocyte-specific chemokine platelet factor 4 (PF4) in fibroblasts. We found that co-expression of the transcriptional regulators GATA1 and FLI1 resulted in a significant increase in levels of PF4, which became magnified over time. This finding demonstrates that such combinations can be used to produce potentially beneficial chemokines in readily available heterologous cell types.

Indexed as

FibroblastMegakaryocytePlatelet factor 4Reprogramming

Identifiers

PMID30364711
PMCPMC6197760
OpenAlexW2894567841

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.