Evidence map›Paper›PMID 31540064›Full record

ArticleSensors (Basel, Switzerland)2019

Multivariate Analysis of Difference Raman Spectra of the Irradiated Nucleus and Cytoplasm Region of SH-SY5Y Human Neuroblastoma Cells.

Ines Delfino, Valerio Ricciardi, Lorenzo Manti, Maria Lasalvia, Maria Lepore

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Ines DelfinoDipartimento di Scienze Ecologiche e Biologiche, Università della Tuscia, 01100 Viterbo, Italy. delfino@unitus.it.
Valerio RicciardiDipartimento di Medicina Sperimentale, Università della Campania "L. Vanvitelli", 80100 Napoli, Italy. valerio.ricciardi@unicampania.it.
Lorenzo MantiIstituto Nazionale di Fisica Nucleare, sezione di Napoli, 80126 Napoli, Italy. manti@na.infn.it.ORCID 0000-0003-0168-5040
Maria LasalviaDipartimento di Medicina Clinica e Sperimentale, Università di Foggia, 71100 Foggia, Italy. maria.lasalvia@unifg.it.ORCID 0000-0002-8221-7849
Maria LeporeDipartimento di Medicina Sperimentale, Università della Campania "L. Vanvitelli", 80100 Napoli, Italy. maria.lepore@unicampania.it.ORCID 0000-0003-2743-5904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous works showed that spatially resolved Raman spectra of cytoplasm and nucleus region of single cells exposed to X-rays evidence different features. The present work aims to introduce a new approach to profit from these differences to deeper investigate X-ray irradiation effects on single SH-SY5Y human neuroblastoma cells. For this aim, Raman micro-spectroscopy was performed in vitro on single cells after irradiation by graded X-ray doses (2, 4, 6, 8 Gy). Spectra from nucleus and cytoplasm regions were selectively acquired. The examination by interval Principal Component Analysis (i-PCA) of the difference spectra obtained by subtracting each cytoplasm-related spectrum from the corresponding one detected at the nucleus enabled us to reveal the subtle modifications of Raman features specific of different spatial cell regions. They were discussed in terms of effects induced by X-ray irradiation on DNA/RNA, lipids, and proteins. The proposed approach enabled us to evidence some features not outlined in previous investigations.

Indexed as

Spectrum Analysis, RamanCell Line, TumorCell NucleusChild, PreschoolFemaleHumansMultivariate AnalysisNeuroblastomaPrincipal Component AnalysisX-Rayseffects of X-rays on cell nucleus and cytoplasmPrincipal Component AnalysisRaman micro-spectroscopysingle SH-SY5Y human cancer cells

Identifiers

PMID31540064
PMCPMC6766837

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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.