Evidence map›Paper›PMID 31031517›Full record

ArticleJournal of Raman spectroscopy : JRS2018

Biochemical fingerprint of colorectal cancer cell lines using label-free live single-cell Raman spectroscopy.

Julia Gala de Pablo, Fern J Armistead, Sally A Peyman, David Bonthron, Michael Lones, Stephen Smith, Stephen D Evans

Abstract read
In one paragraph

Article in Journal of Raman spectroscopy : JRS, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  4. Current Trends of Raman Spectroscopy in Clinic Settings: Opportunities and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
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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.

Julia Gala de PabloMolecular and Nanoscale Physics Group, School of Physics and Astronomy University of Leeds Leeds UK.ORCID 0000-0003-0557-9632
Fern J ArmisteadMolecular and Nanoscale Physics Group, School of Physics and Astronomy University of Leeds Leeds UK.ORCID 0000-0003-1274-5379
Sally A PeymanMolecular and Nanoscale Physics Group, School of Physics and Astronomy University of Leeds Leeds UK.ORCID 0000-0002-1600-5100
David BonthronWelcome Trust Brenner Building, St James's University Hospital, Faculty of Medicine and Health University of Leeds Leeds UK.ORCID 0000-0001-8132-8179
Michael LonesSchool of Mathematical and Computer Sciences Heriot-Watt University Edinburgh UK.ORCID 0000-0002-2745-9896
Stephen SmithDepartment of Electronics University of York York UK.ORCID 0000-0002-6885-2643
Stephen D EvansMolecular and Nanoscale Physics Group, School of Physics and Astronomy University of Leeds Leeds UK.ORCID 0000-0001-8342-5335

Funding

Medical Research Council MC_PC_14109Medical Research Council MR/M009084/1
6 · The paper itself

Abstract

Label-free live single-cell Raman spectroscopy was used to obtain a chemical fingerprint of colorectal cancer cells including the classification of the SW480 and SW620 cell line model system, derived from primary and secondary tumour cells from the same patient. High-quality Raman spectra were acquired from hundreds of live cells, showing high reproducibility between experiments. Principal component analysis with linear discriminant analysis yielded the best cell classification, with an accuracy of 98.7 ± 0.3% (standard error) when compared with discrimination trees or support vector machines. SW480 showed higher content of the disordered secondary protein structure Amide III band, whereas SW620 showed larger α-helix and β-sheet band content. The SW620 cell line also displayed higher nucleic acid, phosphates, saccharide, and CH

Indexed as

colorectal cancerliving cellsmetastasisRaman spectroscopysingle cell

Identifiers

PMID31031517
PMCPMC6473482

What OpenQuestion holds

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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.