Evidence map›Paper›PMID 33256146›Full record

ReviewMolecules (Basel, Switzerland)2020

Vibrational Spectroscopy for In Vitro Monitoring Stem Cell Differentiation.

Francesca Ravera, Esen Efeoglu, Hugh J Byrne

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2020. 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
1.4field-weighted citation impact, top 14% 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, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Synchrotron Infrared Microspectroscopy for Stem Cell Research.International journal of molecular sciences · 2022
    Review
  8. 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

3 authors at 2 institutions in 1 country.

Francesca RaveraSchool of Physics and Clinical and Optometric Sciences, Technological University Dublin, City Campus, 8 Dublin, Ireland.ORCID 0000-0002-8393-2668
Esen EfeogluSchool of Biomolecular and Biomedical Science, University College Dublin, Belfield, 4 Dublin, Ireland.
Hugh J ByrneFOCAS Research Institute, Technological University Dublin, City Campus, 8 Dublin, Ireland.ORCID 0000-0002-1735-8610
Technological University Dublin · IEUniversity College Dublin · IE

Funding

TU Dublin Fiosraigh Postgraduate Scholarship
6 · The paper itself

Abstract

Stem cell technology has attracted considerable attention over recent decades due to its enormous potential in regenerative medicine and disease therapeutics. Studying the underlying mechanisms of stem cell differentiation and tissue generation is critical, and robust methodologies and different technologies are required. Towards establishing improved understanding and optimised triggering and control of differentiation processes, analytical techniques such as flow cytometry, immunohistochemistry, reverse transcription polymerase chain reaction, RNA in situ hybridisation analysis, and fluorescence-activated cell sorting have contributed much. However, progress in the field remains limited because such techniques provide only limited information, as they are only able to address specific, selected aspects of the process, and/or cannot visualise the process at the subcellular level. Additionally, many current analytical techniques involve the disruption of the investigation process (tissue sectioning, immunostaining) and cannot monitor the cellular differentiation process in situ, in real-time. Vibrational spectroscopy, as a label-free, non-invasive and non-destructive analytical technique, appears to be a promising candidate to potentially overcome many of these limitations as it can provide detailed biochemical fingerprint information for analysis of cells, tissues, and body fluids. The technique has been widely used in disease diagnosis and increasingly in stem cell technology. In this work, the efforts regarding the use of vibrational spectroscopy to identify mechanisms of stem cell differentiation at a single cell and tissue level are summarised. Both infrared absorption and Raman spectroscopic investigations are explored, and the relative merits, and future perspectives of the techniques are discussed.

Indexed as

Cell DifferentiationAnimalsBiomarkersCell TrackingHumansImmunohistochemistryIn Vitro TechniquesMachine LearningNanotechnologySpectroscopy, Fourier Transform InfraredSpectrum AnalysisSpectrum Analysis, RamanStem CellsBiomarkersFTIR absorption spectroscopyRaman spectroscopyspectral markersstem cell differentiationstem cell technologyvibrational spectroscopy

Identifiers

PMID33256146
PMCPMC7729886
OpenAlexW3107997639

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.