Evidence map›Paper›PMID 37725657›Full record

ArticleAnalytical chemistry2023

Single-Cell Lipidomics Using Analytical Flow LC-MS Characterizes the Response to Chemotherapy in Cultured Pancreatic Cancer Cells.

Kyle D G Saunders, Johanna von Gerichten, Holly-May Lewis, Priyanka Gupta, Matt Spick, Catia Costa, Eirini Velliou, Melanie J Bailey

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

20 citing papers in PubMed, 25 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Kyle D G SaundersDepartment of Chemistry, University of Surrey, Guildford GU2 7XH, U.K.ORCID 0000-0002-5615-5322
Johanna von GerichtenDepartment of Chemistry, University of Surrey, Guildford GU2 7XH, U.K.
Holly-May LewisFaculty of Health & Medical Sciences, University of Surrey, Guildford GU2 7XH, U.K.ORCID 0000-0002-0561-5421
Priyanka GuptaCentre for 3D Models of Health and Disease, University College London─Division of Surgery and Interventional Science, London W1W 7TY, U.K.
Matt SpickFaculty of Health & Medical Sciences, University of Surrey, Guildford GU2 7XH, U.K.
Catia CostaIon Beam Centre, University of Surrey, Guildford GU2 7XH, U.K.ORCID 0000-0001-5792-3891
Eirini VelliouCentre for 3D Models of Health and Disease, University College London─Division of Surgery and Interventional Science, London W1W 7TY, U.K.
Melanie J BaileyDepartment of Chemistry, University of Surrey, Guildford GU2 7XH, U.K.ORCID 0000-0001-9050-7910
University of Surrey · GBUniversity College London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/W019116/1Medical Research Council MR/V028553/1
6 · The paper itself

Abstract

In this work, we demonstrate the development and first application of nanocapillary sampling followed by analytical flow liquid chromatography-mass spectrometry for single-cell lipidomics. Around 260 lipids were tentatively identified in a single cell, demonstrating remarkable sensitivity. Human pancreatic ductal adenocarcinoma cells (PANC-1) treated with the chemotherapeutic drug gemcitabine can be distinguished from controls solely on the basis of their single-cell lipid profiles. Notably, the relative abundance of LPC(0:0/16:0) was significantly affected in gemcitabine-treated cells, in agreement with previous work in bulk. This work serves as a proof of concept that live cells can be sampled selectively and then characterized using automated and widely available analytical workflows, providing biologically relevant outputs.

Indexed as

LipidomicsPancreatic NeoplasmsChromatography, LiquidGemcitabineHumansLipidsTandem Mass SpectrometryGemcitabineLipids

Identifiers

PMID37725657
PMCPMC10551860
OpenAlexW4386858208

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.