Evidence map›Paper›PMID 24065090›Full record

ReviewInternational journal of molecular sciences2013

The characterisation of pluripotent and multipotent stem cells using Fourier transform infrared microspectroscopy.

Julie Cao, Elizabeth S Ng, Donald McNaughton, Edouard G Stanley, Andrew G Elefanty, Mark J Tobin, Philip Heraud

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Advancements in medical research: Exploring Fourier Transform Infrared (FTIR) spectroscopy for tissue, cell, and hair sample analysis.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Review
  5. Synchrotron Infrared Microspectroscopy for Stem Cell Research.International journal of molecular sciences · 2022
    Review
  6. Article
  7. Review
  8. The Effects ofEvidence-based complementary and alternative medicine : eCAM · 2019
    Article
  9. Review
  10. Article
  11. Article
  12. The Effect ofEvidence-based complementary and alternative medicine : eCAM · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

7 authors.

Julie CaoDepartment of Anatomy and Developmental Biology, Faculty of Medicine, Nursing and Health Sciences, Monash University, Wellington Road, Clayton, Victoria 3800, Australia. phil.heraud@monash.edu.
Elizabeth S Ng
Donald McNaughton
Edouard G Stanley
Andrew G Elefanty
Mark J Tobin
Philip Heraud

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fourier transform infrared (FTIR) microspectroscopy shows potential as a benign, objective and rapid tool to screen pluripotent and multipotent stem cells for clinical use. It offers a new experimental approach that provides a holistic measurement of macromolecular composition such that a signature representing the internal cellular phenotype is obtained. The use of this technique therefore contributes information that is complementary to that acquired by conventional genetic and immunohistochemical methods.

Indexed as

Cell DifferentiationCluster AnalysisDiscriminant AnalysisHumansLeast-Squares AnalysisMultipotent Stem CellsPluripotent Stem CellsPrincipal Component AnalysisSpectroscopy, Fourier Transform Infrared

Identifiers

PMID24065090
PMCPMC3794735

What OpenQuestion 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 OpenQuestion graph.