Evidence map›Paper›PMID 40554661›Full record

ArticleAnalytical chemistry2025

An Integrated Platform for High-Throughput Extraction and Mass Spectrometry-Based Quantification of Cholesterol and Sphingosine.

Yi-Han Lin, Yuhong Fang, Maya L Gosztyla, Edward Zhu, Abhijeet Kapoor, Andrés E Dulcey, Daniel C Talley, Shu Yang, Miao Xu, Xin Hu and 7 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Yi-Han LinDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.
Yuhong FangDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.
Maya L GosztylaDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.ORCID 0000-0003-4758-4800
Edward ZhuDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.
Abhijeet KapoorDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.
Andrés E DulceyDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.
Daniel C TalleyDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.
Shu YangDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.
Miao XuDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.
Xin HuDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.
Wei ZhengDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.ORCID 0000-0003-1034-0757
Anton SimeonovDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.
Juan J MaruganDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.ORCID 0000-0002-3951-7061
Mark J HendersonDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.ORCID 0000-0001-8590-7338
Christopher A LeClairDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.ORCID 0000-0002-2746-5938
Bolormaa BaljinnyamDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.
Dingyin TaoDivision of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland 20850, United States.ORCID 0000-0001-6531-2740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantification of cellular lipids in a reproducible and high-throughput manner is a key step in the development of therapeutics for lipid storage diseases. Niemann-Pick Disease Type C (NPC) is a genetic disorder characterized by the accumulation of unesterified cholesterol in late endosomes/lysosomes, which is usually measured by the filipin fluorescence assay. However, the nonspecific binding of filipin to other sterol derivatives, multiple assay steps, and difficulty in quantitation present limitations for high-throughput screening and accurate cellular cholesterol quantification. We report the development of an integrated and semiautomated protocol to extract and quantify cellular cholesterol in 384-well plates by utilizing a liquid handling platform in conjunction with a high-throughput mass spectrometry (MS) system. The 384-well plate format enables seamless lipid extraction and subsequent MS analysis in less than 2 h from a cell culture plate to final MS data. Cholesterol was extracted from neural stem cells differentiated from NPC induced pluripotent stem cells using methyl

Indexed as

CholesterolHigh-Throughput Screening AssaysSphingosineHumansInduced Pluripotent Stem CellsMass SpectrometryCholesterolSphingosine

Identifiers

PMID40554661
PMCPMC12268818

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.