Evidence map›Paper›PMID 27120458›Full record

ArticlePloS one2016

Validation of Metabolic Alterations in Microscale Cell Culture Lysates Using Hydrophilic Interaction Liquid Chromatography (HILIC)-Tandem Mass Spectrometry-Based Metabolomics.

Venugopal Gunda, Fang Yu, Pankaj K Singh

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. The MUC1-HIF-1α signaling axis regulates pancreatic cancer pathogenesis through polyamine metabolism remodeling.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  13. Pluronic block copolymers enhance the anti-myeloma activity of proteasome inhibitors.Journal of controlled release : official journal of the Controlled Release Society · 2019
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. MUC1-Mediated Metabolic Alterations Regulate Response to Radiotherapy in Pancreatic Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    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

3 authors at 1 institution in 1 country.

Venugopal GundaEppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
Fang YuDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
Pankaj K SinghEppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
University of Nebraska Medical Center · US

Funding

UNMC/EPPLEY CANCER CENTER SUPPORT GRANTP30CA036727 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Apar Kishor Ganti · 1985 to 2026
$55.0M
Tissue CoreP50CA127297 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI HOLLINGSWORTH, MICHAEL A. · 2008 to 2018
$17.1M
Targeting Tumor-Stromal Metabolic Cross-Talk in Pancreatic CancerR01CA163649 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Pankaj Kumar Singh · 2012 to 2026
$5.4M
Role of N-Cadherin in Pancreatic Tumor MicroenvironmentU54CA163120 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BATRA, SURINDER K. · 2011 to 2015
$4.2M
NCI NIH HHS P30 CA036727NCI NIH HHS P50 CA127297NCI NIH HHS R01 CA163649NCI NIH HHS U54 CA163120
6 · The paper itself

Abstract

By standard convention, in order to increase the efficacy of metabolite detection from cell culture lysates, metabolite extracts from a large quantity of cells are utilized for multiple reaction monitoring-based metabolomic studies. Metabolomics from a small number of cell extracts offers a potential economical alternative to increased cell numbers, in turn increasing the utility of cell culture-based metabolomics. However, the effect of reduced cell numbers on targeted metabolomic profiling is relatively unstudied. Considering the limited knowledge available of the feasibility and accuracy of microscale cell culture metabolomics, the present study analyzes differences in metabolomic profiles of different cell numbers of three pancreatic cancer cell lines. Specifically, it examines the effects of reduced cell numbers on metabolite profiles by obtaining extracts either directly from microscale culture plates or through serial dilution of increased numbers of cellular metabolite extracts. Our results indicate reduced cell numbers only modestly affect the number of metabolites detected (93% of metabolites detected in cell numbers as low as 104 cells and 97% for 105 cells), independent of the method used to obtain the cells. However, metabolite peak intensities were differentially affected by the reduced cell numbers, with some peak intensities inversely proportional to the cell numbers. To help eliminate such potential inverse relationships, peak intensities for increased cell numbers were excluded from the comparative analysis. Overall, metabolite profiles from microscale culture plates were observed to differ from the serial dilution samples, which may be attributable to the medium-to-cell-number ratios. Finally, findings identify perturbations in metabolomic profiling for cellular extracts from reduced cell numbers, which offer future applications in microscale metabolomic evaluations.

Indexed as

MetabolomeCell CountCell Line, TumorChromatography, LiquidHumansHydrophobic and Hydrophilic InteractionsLimit of DetectionMetabolomicsPancreasTandem Mass Spectrometry

Identifiers

PMID27120458
PMCPMC4847783
OpenAlexW2342789743

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.