Evidence map›Paper›PMID 21553282›Full record

ArticleMolecular biotechnology2012

An automated high throughput screening-compatible assay to identify regulators of stem cell neural differentiation.

Laura Casalino, Dario Magnani, Sandro De Falco, Stefania Filosa, Gabriella Minchiotti, Eduardo J Patriarca, Dario De Cesare

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Stem cells technology: a powerful tool behind new brain treatments.Drug delivery and translational research · 2018
    Review
  4. Review
  5. Review
  6. 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

7 authors at 2 institutions in 2 countries.

Laura CasalinoStem Cell Fate Laboratory, Institute of Genetics and Biophysics A. Buzzati-Traverso, National Research Council, Naples, Italy. laura.casalino@igb.cnr.it
Dario Magnani
Sandro De Falco
Stefania Filosa
Gabriella Minchiotti
Eduardo J Patriarca
Dario De Cesare
Institute of Genetics and Biophysics · ITNational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of Embryonic Stem Cells (ESCs) holds considerable promise both for drug discovery programs and the treatment of degenerative disorders in regenerative medicine approaches. Nevertheless, the successful use of ESCs is still limited by the lack of efficient control of ESC self-renewal and differentiation capabilities. In this context, the possibility to modulate ESC biological properties and to obtain homogenous populations of correctly specified cells will help developing physiologically relevant screens, designed for the identification of stem cell modulators. Here, we developed a high throughput screening-suitable ESC neural differentiation assay by exploiting the Cell(maker) robotic platform and demonstrated that neural progenies can be generated from ESCs in complete automation, with high standards of accuracy and reliability. Moreover, we performed a pilot screening providing proof of concept that this assay allows the identification of regulators of ESC neural differentiation in full automation.

Indexed as

Cell DifferentiationAnimalsAutomation, LaboratoryCell LineEmbryonic Stem CellsHigh-Throughput Screening AssaysMiceNeural Stem CellsNeuronsPilot ProjectsReproducibility of Results

Identifiers

PMID21553282
OpenAlexW2069637407

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.