Evidence map›Paper›PMID 39843432›Full record

ArticleCell death discovery2025

Thy1-YFP: an effective tool for single cell tracing from neuronal progenitors to mature functionally active neurons.

Ante Plećaš, Katarina Kapuralin, Leonarda Grandverger, Dinko Mitrečić, Ivan Alić

Abstract read
In one paragraph

Article in Cell death discovery, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

5 authors.

Ante PlećašDepartment of Anatomy, Histology and Embryology, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia. aplecas@vef.hr.ORCID http://orcid.org/0000-0001-5839-889X
Katarina KapuralinFaculty of Biotechnology and Drug Development, University of Rijeka, Rijeka, Croatia.ORCID http://orcid.org/0000-0002-4583-7942
Leonarda GrandvergerCroatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia.
Dinko MitrečićCroatian Institute for Brain Research, School of Medicine, University of Zagreb, Zagreb, Croatia.ORCID http://orcid.org/0000-0003-4836-1721
Ivan AlićDepartment of Anatomy, Histology and Embryology, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia. ialic@vef.hr.ORCID http://orcid.org/0000-0002-8125-8198

Funding

International Centre for Genetic Engineering and Biotechnology (ICGEB) CRP/HRV23-05_EC
6 · The paper itself

Abstract

The differentiation of mouse neurons is a complex process involving cell maturation and branching, occurring during both, embryonic development and differentiation in vitro. To study mouse neuronal morphology, we used the Thy1 YFP-16 mouse strain. Although this mouse strain was described over twenty years ago, detailed studies on projections outgrowth and morphology of neurons are still lacking. The main goal of our study was to analyse the differentiation patterns of neural stem cells, including markers of differentiation, colocalization patterns, synaptic markers and the tracing of cell projections during differentiation in vitro. The neural stem cells were isolated from embryos at embryonic day 14.5 as well as newborn pups and differentiated into neurons and astrocytes. Our data showed a significant decrease of neural stem cells markers and a substantial increase in neuronal markers during differentiation, analysed by immunocytochemistry, quantitative PCR and western blot. To assess synaptic maturation, neurons were further analysed by quantitative PCR and immunocytochemistry. Expression of synaptic markers were increased during differentiation in vitro. At the 7

Identifiers

PMID39843432
PMCPMC11754755

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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.