Evidence map›Paper›PMID 21073240›Full record

ArticleIET systems biology2010

Towards monitoring real-time cellular response using an integrated microfluidics-matrix assisted laser desorption ionisation/nanoelectrospray ionisation-ion mobility-mass spectrometry platform.

J R Enders, C C Marasco, A Kole, B Nguyen, S Sevugarajan, K T Seale, J P Wikswo, J A McLean

Abstract read
In one paragraph

Article in IET systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
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  5. Article
  6. Review
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  11. Article
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  13. Amino acids as metabolic substrates during cardiac ischemia.Experimental biology and medicine (Maywood, N.J.) · 2012
    Review
  14. Article
  15. Article
  16. Article
  17. Mass conservation and inference of metabolic networks from high-throughput mass spectrometry data.Journal of computational biology : a journal of computational molecular cell biology · 2011
    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

8 authors.

J R EndersVanderbilt University, Department of Chemistry, Nashville, TN, USA.
C C Marasco
A Kole
B Nguyen
S Sevugarajan
K T Seale
J P Wikswo
J A McLean

Funding

Elucidation of Leukocyte and Macrophage Biomarker Signatures from Drugs of AbuseRC2DA028981 · NIDA · VANDERBILT UNIVERSITY · PI LIPSON, HOD, MCLEAN, JOHN ALAN · 2009 to 2010
$2.7M
NIDA NIH HHS RC2 DA028981NIDA NIH HHS RC2DA028981
6 · The paper itself

Abstract

The combination of microfluidic cell trapping devices with ion mobility-mass spectrometry offers the potential for elucidating in real time the dynamic responses of small populations of cells to paracrine signals, changes in metabolite levels and delivery of drugs and toxins. Preliminary experiments examining peptides in methanol and recording the interactions of yeast and Jurkat cells with their superfusate have identified instrumental set-up and control parameters and online desalting procedures. Numerous initial experiments demonstrate and validate this new instrumental platform. Future outlooks and potential applications are addressed, specifically how this instrumentation may be used for fully automated systems biology studies of the significantly interdependent, dynamic internal workings of cellular metabolic and signalling pathways.

Indexed as

Cell Physiological PhenomenaCell BiologyCellsCell SeparationHumansJurkat CellsMicrofluidic Analytical TechniquesSaccharomyces cerevisiaeSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSystems Biology

Identifiers

PMID21073240
PMCPMC4254925

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.