Evidence map›Paper›PMID 33732801›Full record

ArticleBio-protocol2021

Rapid and Simplified Induction of Neural Stem/Progenitor Cells (NSCs/NPCs) and Neurons from Human Induced Pluripotent Stem Cells (hiPSCs).

Ryutaro Kajihara, Tadahiro Numakawa, Takumi Era

Abstract read
In one paragraph

Article in Bio-protocol, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Ryutaro KajiharaDepartment of Cell Modulation, Institute of Molecular Embryology and Genetics, Kumamoto University, Kumamoto, Japan.
Tadahiro NumakawaDepartment of Cell Modulation, Institute of Molecular Embryology and Genetics, Kumamoto University, Kumamoto, Japan.
Takumi EraDepartment of Cell Modulation, Institute of Molecular Embryology and Genetics, Kumamoto University, Kumamoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human induced pluripotent stem cells (iPSCs) and their progeny displaying tissue-specific characteristics have paved the way for regenerative medicine and research in various fields such as the elucidation of the pathological mechanism of diseases and the discovery of drug candidates. iPSC-derived neurons are particularly valuable as it is difficult to analyze neural cells obtained from the central nervous system in humans. For neuronal induction with iPSCs, one of the commonly used approaches is the isolation and expansion of neural rosettes, following the formation of embryonic bodies (EBs). However, this process is laborious, inefficient, and requires further purification of the cells. To overcome these limitations, we have developed an efficient neural induction method that allows for the generation of neural stem/progenitor cells (NSCs/NPCs) from iPSCs within 7 days and of functional mature neurons. Our method yields a PAX6-positive homogeneous cell population, a cortical NSCs/NPCs, and the resultant NSCs/NPCs can be cryopreserved, expanded, and differentiated into functional mature neurons. Moreover, our protocol will be less expensive than other methods since the protocol requires fewer neural supplements during neural induction. This article also presents the FM1-43 imaging assay, which is useful for the presynaptic assessment of the iPSCs-derived human neurons. This protocol provides a quick and simplified way to generate NSCs/NPCs and neurons, enabling researchers to establish

Indexed as

FM1-43Human Induced Pluripotent Stem CellNeural InductionNeural Progenitor CellNeural Stem CellNeuron

Identifiers

PMID33732801
PMCPMC7952933

What OpenQuestion holds

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Registered trials

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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.