Evidence map›Paper›PMID 30563051›Full record

ArticleBiosensors2018

Biomolecular Component Analysis of Phospholipids Composition in Live HeLa Cells.

Svitlana M Levchenko, Junle Qu

Abstract read
In one paragraph

Article in Biosensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

2 authors.

Svitlana M LevchenkoKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China. sveta.levchenko@gmail.com.ORCID 0000-0001-9288-922X
Junle QuKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China. jlqu@szu.edu.cn.ORCID 0000-0001-7833-4711

Funding

Guangdong Natural Science Foundation Innovation Team 2014A030312008National Natural Science Foundation of China 61525503National Natural Science Foundation of China 61620106016National Natural Science Foundation of China 61705142National Natural Science Foundation of China 61835009National Natural Science Foundation of China 81727804Natural Science Foundation of Guangdong Province 2017A030310136Shenzhen Basic Research Project GJHZ20160226202139185Shenzhen Basic Research Project JCYJ20150930104948169Shenzhen Basic Research Project JCYJ20160328144746940Shenzhen Basic Research Project JCYJ20170412105003520
6 · The paper itself

Abstract

The alteration of the phospholipid composition within the cell, in particular the ratio between saturated and unsaturated fatty acids, can serve as an important biomarker to prognosis of the disease progression (e.g., fatty-liver disease, prostate cancer, or neurodegenerative disorders). Major techniques for lipid analysis in biological samples require a lipid extraction procedure that is not compatible with live cell studies. To address this challenge, we apply microRaman-Biomolecular Component Analysis (BCA) for comparative analysis of phospholipid composition and sensing the saturation degree of fatty acid lipid chain in live HeLa cells and lipids extracted from HeLa cells. After processing raw Raman data, acquired in lipid droplets (LDs) free cytoplasmic area, LDs and extracted lipids with BCA, the lipid component was isolated. Despite the similarity in general profiles of processed Raman spectra acquired in live cells and extracted lipids, some clear differences that reflect diversity in their phospholipids composition were revealed. Furthermore, using the direct relation between the number of double bonds in the fatty acid chain and the intensity ratio of the corresponding Raman bands, the saturation degree of fatty acids was estimated.

Indexed as

CytoplasmFatty AcidsHeLa CellsHumansLipid DropletsPhospholipidsPrincipal Component AnalysisSpectrum Analysis, RamanFatty AcidsPhospholipidsBCAfatty acidsHeLa cellsphospholipidsRaman microspectrometry

Identifiers

PMID30563051
PMCPMC6315881

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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.