Evidence map›Paper›PMID 26401069›Full record

ArticleJournal of proteomics & bioinformatics2015

Liquid Chromatography-Mass Spectrometry Metabolic and Lipidomic Sample Preparation Workflow for Suspension-Cultured Mammalian Cells using Jurkat T lymphocyte Cells.

Candice Z Ulmer, Richard A Yost, Jing Chen, Clayton E Mathews, Timothy J Garrett

Open access · greenAbstract read
In one paragraph

Article in Journal of proteomics & bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Lipidomics of Caco-2 Cells Under Simulated Microgravity Conditions.International journal of molecular sciences · 2024
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  8. Targeting pheochromocytoma/paraganglioma with polyamine inhibitors.Metabolism: clinical and experimental · 2020
    Article
  9. Article
  10. Article
  11. Impact of sample preparation upon intracellular metabolite measurements in 3D cell culture systems.Metabolomics : Official journal of the Metabolomic Society · 2019
    Article
  12. Three Dimensional Secondary Ion Mass Spectrometry Imaging (3D-SIMS) ofJournal of analytical atomic spectrometry · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Proteometabolomics of Melphalan Resistance in Multiple Myeloma.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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 at 1 institution in 1 country.

Candice Z UlmerDepartment of Chemistry, University of Florida, Gainesville, FL, USA.
Richard A YostDepartment of Chemistry, University of Florida, Gainesville, FL, USA ; Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, USA.
Jing ChenDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, USA.
Clayton E MathewsDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, USA.
Timothy J GarrettDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, USA.
University of Florida · US

Funding

Project 3P01AI042288 · NIAID · UNIVERSITY OF FLORIDA · PI Todd Michael Brusko · 1997 to 2026
$32.9M
Southeast Resource Center for Integrated Metabolomics (SECIM)U24DK097209 · NIDDK · UNIVERSITY OF FLORIDA · PI EDISON, ARTHUR S, YOST, RICHARD A. · 2013 to 2017
$9.2M
Genetic Regulation of Human Beta Cell DestructionUC4DK104194 · NIDDK · UNIVERSITY OF FLORIDA · PI MATHEWS, CLAYTON E · 2014 to 2014
$3.1M
mt-Nd2 and Resistance to Autoimmune DiabetesR01DK074656 · NIDDK · UNIVERSITY OF FLORIDA · PI MATHEWS, CLAYTON E · 2006 to 2015
$2.8M
Regulatory Networks and Biomarkers of Beta-cell Dysfunction and ApoptosisUC4DK104167 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI KULKARNI, ROHIT N., MATHEWS, CLAYTON E · 2014 to 2016
$2.7M
NIAID NIH HHS P01 AI042288NIDDK NIH HHS R01 DK074656NIDDK NIH HHS U24 DK097209NIDDK NIH HHS UC4 DK104167NIDDK NIH HHS UC4 DK104194
6 · The paper itself

Abstract

Metabolomics is the comprehensive study of metabolism as it pertains to an organism or biological system. Lipidomics, a subset discipline of metabolomics, encompasses the study of cellular lipid functions: including pathways, networks, and interactions. The abundance of metabolites and lipids, along with their contribution to health and disease, makes metabolomics a valuable tool for biomarker research. Disease biomarker identification requires a reproducible, sensitive, and accurate analytical platform. Although transcriptomic and proteomic areas have well-established protocols for sample preparation and data processing, the metabolomics field is still developing comparable standardized conventions. Furthermore, of the few comparative LC-MS metabolomic studies that have been applied to mammalian cell cultures, most are targeted to adherent cell lines. The purpose of this work was to optimize a sample preparation workflow for the cellular metabolomic analysis of suspension-cultured mammalian cells using commercially available Jurkat T lymphocytes as a model system. The current investigation evaluated commonly used sample preparation techniques for reproducibility, accuracy, and applicability to untargeted biomarker discovery. Results show ammoniated cell rinsing solutions to be an effective means to remove extracellular components present in the media without causing ion suppression or affecting the integrity of the cellular membrane. Additionally, a novel workflow was designed to allow for the combined analysis of metabolites and lipids from mammalian suspension cells from a single cell pellet. The Folch lipid extraction protocol was coupled to an 80% MeOH metabolite isolation to ensure high extraction efficiency for phospholipids and triacylglycerides. While the workflow was tailored to cells in suspension, it could also be applied to adherent cell lines.

Indexed as

LipidomicsMammalian suspension cellsMetabolomicsSample preparation

Identifiers

PMID26401069
PMCPMC4577016
OpenAlexW2415247663

What OpenQuestion holds

Textmetadata
LicenceTDM
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.