Evidence map›Paper›PMID 37108456›Full record

ArticleInternational journal of molecular sciences2023

An Efficient 2D Protocol for Differentiation of iPSCs into Mature Postmitotic Dopaminergic Neurons: Application for Modeling Parkinson's Disease.

Olga S Lebedeva, Elena I Sharova, Dmitriy A Grekhnev, Liubov O Skorodumova, Irina V Kopylova, Ekaterina M Vassina, Arina Oshkolova, Iuliia V Novikova, Alena V Krisanova, Evgenii I Olekhnovich and 4 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 11 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

14 authors at 4 institutions in 1 country.

Olga S LebedevaFederal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, St. Malaya Pirogovskaya, 1a, 119435 Moscow, Russia.ORCID 0000-0003-0767-5265
Elena I SharovaFederal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, St. Malaya Pirogovskaya, 1a, 119435 Moscow, Russia.ORCID 0000-0003-3208-9719
Dmitriy A GrekhnevInstitute of Cytology, Russian Academy of Sciences, Tikhoretsky Ave 4, 194064 St. Petersburg, Russia.ORCID 0000-0003-2338-6252
Liubov O SkorodumovaFederal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, St. Malaya Pirogovskaya, 1a, 119435 Moscow, Russia.ORCID 0000-0002-7747-2730
Irina V KopylovaFederal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, St. Malaya Pirogovskaya, 1a, 119435 Moscow, Russia.
Ekaterina M VassinaVavilov Institute of General Genetics, GSP-1, Gubkina St., 3, 119991 Moscow, Russia.
Arina OshkolovaInstitute of Cytology, Russian Academy of Sciences, Tikhoretsky Ave 4, 194064 St. Petersburg, Russia.
Iuliia V NovikovaInstitute of Cytology, Russian Academy of Sciences, Tikhoretsky Ave 4, 194064 St. Petersburg, Russia.
Alena V KrisanovaInstitute of Cytology, Russian Academy of Sciences, Tikhoretsky Ave 4, 194064 St. Petersburg, Russia.
Evgenii I OlekhnovichFederal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, St. Malaya Pirogovskaya, 1a, 119435 Moscow, Russia.
Vladimir A VigontInstitute of Cytology, Russian Academy of Sciences, Tikhoretsky Ave 4, 194064 St. Petersburg, Russia.ORCID 0000-0001-8389-7316
Elena V KaznacheyevaInstitute of Cytology, Russian Academy of Sciences, Tikhoretsky Ave 4, 194064 St. Petersburg, Russia.ORCID 0000-0003-1273-1188
Alexandra N BogomazovaFederal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, St. Malaya Pirogovskaya, 1a, 119435 Moscow, Russia.ORCID 0000-0003-1549-1984
Maria A LagarkovaFederal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, St. Malaya Pirogovskaya, 1a, 119435 Moscow, Russia.
Institute of Cytology · RUEngelhardt Institute of Molecular Biology · RUFederal Medical-Biological Agency · RUVavilov Institute of General Genetics · RU

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2019-1669Ministry of Science and Higher Education of the Russian Federation 075-15-2021-1075Russian Science Foundation 22-14-00218
6 · The paper itself

Abstract

About 15% of patients with parkinsonism have a hereditary form of Parkinson's disease (PD). Studies on the early stages of PD pathogenesis are challenging due to the lack of relevant models. The most promising ones are models based on dopaminergic neurons (DAns) differentiated from induced pluripotent stem cells (iPSCs) of patients with hereditary forms of PD. This work describes a highly efficient 2D protocol for obtaining DAns from iPSCs. The protocol is rather simple, comparable in efficiency with previously published protocols, and does not require viral vectors. The resulting neurons have a similar transcriptome profile to previously published data for neurons, and have a high level of maturity marker expression. The proportion of sensitive (SOX6+) DAns in the population calculated from the level of gene expression is higher than resistant (CALB+) DAns. Electrophysiological studies of the DAns confirmed their voltage sensitivity and showed that a mutation in the

Indexed as

Induced Pluripotent Stem CellsParkinson DiseaseCell DifferentiationDopaminergic NeuronsHumanscalciumdifferentiation protocoldisease modelinghigh purity of neuron cultureiPSCsParkinson’s diseaseSOCE currents

Identifiers

PMID37108456
PMCPMC10139404
OpenAlexW4365510074

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.