Evidence map›Paper›PMID 31044579›Full record

ArticleCroatian medical journal2019

Raman microspectroscopy: toward a better distinction and profiling of different populations of dental stem cells.

Jelena Simonović, Boško Toljić, Božidar Rašković, Vladimir Jovanović, Miloš Lazarević, Maja Milošević, Nadja Nikolić, Radmila Panajotović, Jelena Milašin

Open access · diamondAbstract read
In one paragraph

Article in Croatian medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Evaluation ofDentistry journal · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Rare-earth (GdScientific reports · 2019
    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

9 authors at 1 institution in 1 country.

Jelena Simonović
Boško Toljić
Božidar Rašković
Vladimir Jovanović
Miloš Lazarević
Maja Milošević
Nadja Nikolić
Radmila Panajotović
Jelena MilašinJelena Milašin, School of Dental Medicine, University of Belgrade, Dr Subotića 8, 11000 Belgrade, Serbia, jelena.milasin@stomf.bg.ac.rs.
University of Belgrade · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo characterize stem cells originating from different dental tissues (apical papilla [SCAP], dental follicle [DFSC], and pulp [DPSC]) and test the capacity of Raman microspectroscopy to distinguish between the three dental stem cell types.

methodsSCAP, DFSC, and DPSC cultures were generated from three immature wisdom teeth originating from three patients. Cell stemness was confirmed by inducing neuro-, osteo-, chondro-, and adipo-differentiaton and by mesenchymal marker expression analysis by flow-cytometry and real-time polymerase chain reaction. Cellular components were then evaluated by Raman microspectroscopy.

resultsWe found differences between SCAP, DFSC, and DPSC Raman spectra. The ratio between proteins and nucleic acids (748/770), a parameter for discriminating more differentiated from less differentiated cells, showed significant differences between the three cell types. All cells also displayed a fingerprint region in the 600-700 cm-1 range, and characteristic lipid peaks at positions 1440 cm-1 and 1650 cm-1.

conclusionAlthough different dental stem cells exhibited similar Raman spectra, the method enabled us to make subtle distinction between them.

Indexed as

Spectrum Analysis, RamanAdolescentCell DifferentiationDental PulpDental SacFlow CytometryHumansMesenchymal Stem CellsMolar, ThirdReal-Time Polymerase Chain ReactionStem CellsTooth

Identifiers

PMID31044579
PMCPMC6509629
OpenAlexW2946820773

What OpenQuestion holds

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LicenceCC BY
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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.