Evidence map›Paper›PMID 34324188›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

Functional Assessment of Direct Reprogrammed Neurons In Vitro and In Vivo.

Srisaiyini Kidnapillai, Daniella Rylander Ottosson

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Srisaiyini KidnapillaiDepartment of Experimental Medical Science and Lund Stem Cell Centre, BMC, Lund University, Lund, Sweden.
Daniella Rylander OttossonDepartment of Experimental Medical Science and Lund Stem Cell Centre, BMC, Lund University, Lund, Sweden. daniella.ottosson@med.lu.se.
Lund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Direct reprogramming is an emerging research field where you can generate neurons from a somatic cell, such as a skin or glial cell by overexpressing neurogenic transcription factors. This technique allows fast generation of subtype-specific and functional neurons from both human and mouse cells. Despite the fact that neurons have been successfully generated both in vitro and in vivo, a more extensive analysis of the induced neurons including phenotypic functional identity or gradual maturity is still lacking. This is an important step for a further development of induced neurons towards cell therapy or disease modeling of neurological diseases. In this protocol, we describe a method for functional assessment of direct reprogrammed neuronal cells both in vitro and in vivo. Using a synapsin-driven reporter, our protocol allows for a direct identification of the reprogrammed neurons that permits functional assessment using patch-clamp electrophysiology. For in vitro reprogramming we further provide an optimized coating condition that allows a long-term maturation of human induced neurons in vitro.

Indexed as

Cellular ReprogrammingNeurogenesisAnimalsCell Culture TechniquesCell DifferentiationCells, CulturedCellular Reprogramming TechniquesDependovirusGenetic VectorsHumansLentivirusMiceNeuronsPatch-Clamp TechniquesTranscription FactorsTransduction, GeneticTranscription FactorsAAVAction potentialDirect conversionFibroblastGFP reporterGliaiNsIntracerebral injectionsiPSCLentivirusPostsynaptic activityRegenerationStem cellsStriatumTransdifferentiation

Identifiers

PMID34324188
OpenAlexW3184468594

What OpenQuestion holds

Textmetadata
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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.