Evidence map›Paper›PMID 37140812›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Retinoic Acid-Mediated Differentiation of Mouse Embryonic Stem Cells to Neuronal Cells.

Sangeeta Dutta, Debosree Pal, M R S Rao

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 11% 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, 3 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Sangeeta DuttaMolecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India.
Debosree PalMolecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India.
M R S RaoMolecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, India. mrsrao@jncasr.ac.in.
Jawaharlal Nehru Centre for Advanced Scientific Research · INCRUK Lung Cancer Centre of Excellence · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The capability of pluripotent embryonic stem cells (ESCs) to proliferate and differentiate into specific lineages makes them an important avenue of research in the field of cell therapy as well as a useful model to study patterns of differentiation and gene expression, recapitulating many events that occur during the very early stages of development of the mammalian embryo. With striking similarities that exist between inherently programmed embryonic development of the nervous system in vivo and the differentiation of ESCs in vitro, they have already been used to treat locomotive and cognitive deficits caused by brain injury in rodents. A suitable differentiation model thus empowers us with all these opportunities. In this chapter, we describe a neural differentiation model from mouse embryonic stem cells using retinoic acid as the inducer. This method is among the most commonly used one to acquire a homogeneous population of neuronal progenitor cells or mature neurons as desired. The method is scalable, efficient, and results in production of ~70% neural progenitor cells within 4-6 days.

Indexed as

Mouse Embryonic Stem CellsNeural Stem CellsAnimalsCell DifferentiationMammalsMiceNeuronsTretinoinTretinoinE14TG2a cell lineEmbryoid bodiesMature neuronsMouse embryonic stem cells (mESCs)Neuronal differentiationNeuronal progenitor cells (NPCs)Retinoic acid (RA)Stem cell culture

Identifiers

PMID37140812
OpenAlexW4368358891

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.