Evidence map›Paper›PMID 23734254›Full record

ArticlePloS one2013

Detection of osteogenic differentiation by differential mineralized matrix production in mesenchymal stromal cells by Raman spectroscopy.

Pei-San Hung, Yi-Chun Kuo, He-Guei Chen, Hui-Hua Kenny Chiang, Oscar Kuang-Sheng Lee

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.5field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 42 citations in OpenAlex.

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  8. A time-course Raman spectroscopic analysis of spontaneous in vitro microcalcifications in a breast cancer cell line.Laboratory investigation; a journal of technical methods and pathology · 2021
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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

5 authors at 2 institutions in 1 country.

Pei-San HungInstitute of Biophotonics, National Yang-Ming University, Taipei, Taiwan.
Yi-Chun Kuo
He-Guei Chen
Hui-Hua Kenny Chiang
Oscar Kuang-Sheng Lee
National Yang Ming Chiao Tung University · TWNational Yang Ming University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesenchymal stromal cells (MSCs) hold great potential in skeletal tissue engineering and regenerative medicine. However, conventional methods that are used in molecular biology to evaluate osteogenic differentiation of MSCs require a relatively large amount of cells. Cell lysis and cell fixation are also required and all these steps are time-consuming. Therefore, it is imperative to develop a facile technique which can provide real-time information with high sensitivity and selectivity to detect the osteogenic maturation of MSCs. In this study, we use Raman spectroscopy as a biosensor to monitor the production of mineralized matrices during osteogenic induction of MSCs. In summary, Raman spectroscopy is an excellent biosensor to detect the extent of maturation level during MSCs-osteoblast differentiation with a non-disruptive, real-time and label free manner. We expect that this study will promote further investigation of stem cell research and clinical applications.

Indexed as

Cell DifferentiationOsteogenesisCalcium PhosphatesCell Adhesion MoleculesCells, CulturedCollagen Type ICore Binding Factor Alpha 1 SubunitDurapatiteGene Expression ProfilingHumansMesenchymal Stem CellsReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionSpectrum Analysis, RamanTissue Engineeringcalcium phosphateCalcium PhosphatesCell Adhesion MoleculesCollagen Type ICore Binding Factor Alpha 1 SubunitDurapatiteoctacalcium phosphatePOSTN protein, humantricalcium phosphate

Identifiers

PMID23734254
PMCPMC3667172
OpenAlexW2028542248

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.