Evidence map›Paper›PMID 25992777›Full record

ArticlePloS one2015

The use of wavelength modulated Raman spectroscopy in label-free identification of T lymphocyte subsets, natural killer cells and dendritic cells.

Mingzhou Chen, Naomi McReynolds, Elaine C Campbell, Michael Mazilu, João Barbosa, Kishan Dholakia, Simon J Powis

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  11. In vivo optical molecular imaging of inflammation and immunity.Journal of molecular medicine (Berlin, Germany) · 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

7 authors.

Mingzhou ChenSUPA, School of Physics and Astronomy, University of St Andrews, Fife, KY16 9SS, United Kingdom.
Naomi McReynoldsSUPA, School of Physics and Astronomy, University of St Andrews, Fife, KY16 9SS, United Kingdom.
Elaine C CampbellSchool of Medicine, University of St Andrews, Fife, KY16 9TF, United Kingdom.
Michael MaziluSUPA, School of Physics and Astronomy, University of St Andrews, Fife, KY16 9SS, United Kingdom.
João BarbosaInstituto de Engenharia Biomedica, 4150-180, Porto, Portugal.
Kishan DholakiaSUPA, School of Physics and Astronomy, University of St Andrews, Fife, KY16 9SS, United Kingdom.
Simon J PowisSchool of Medicine, University of St Andrews, Fife, KY16 9TF, United Kingdom.

Funding

Cancer Research UKDepartment of HealthMedical Research Council
6 · The paper itself

Abstract

Determining the identity of cells of the immune system usually involves destructive fixation and chemical staining, or labeling with fluorescently labeled antibodies recognising specific cell surface markers. Completely label-free identification would be a significant advantage in conditions where untouched cells are a priority. We demonstrate here the use of Wavelength Modulated Raman Spectroscopy, to achieve label-free identification of purified, unfixed and untouched populations of major immune cell subsets isolated from healthy human donors. Using this technique we have been able to distinguish between CD4(+) T lymphocytes, CD8(+) T lymphocytes and CD56(+) Natural Killer cells at specificities of up to 96%. Additionally, we have been able to distinguish between CD303(+) plasmacytoid and CD1c(+) myeloid dendritic cell subsets, the key initiator and regulatory cells of many immune responses. This demonstrates the ability to identify unperturbed cells of the immune system, and opens novel opportunities to analyse immunological systems and to develop fully label-free diagnostic technologies.

Indexed as

Cell SeparationDendritic CellsFlow CytometryHumansKiller Cells, NaturalSpectrum Analysis, RamanT-Lymphocyte Subsets

Identifiers

PMID25992777
PMCPMC4439084

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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.