Evidence map›Paper›PMID 22508372›Full record

ArticleLab on a chip2012

Label-free quantitation of peptide release from neurons in a microfluidic device with mass spectrometry imaging.

Ming Zhong, Chang Young Lee, Callie A Croushore, Jonathan V Sweedler

Abstract read
In one paragraph

Article in Lab on a chip, 2012. 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
–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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Cell Analysis on Microfluidics Combined with Mass Spectrometry.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Small-volume analysis of cell-cell signaling molecules in the brain.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2014
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Relative quantitation of neuropeptides over a thousand-fold concentration range.Journal of the American Society for Mass Spectrometry · 2012
    Article
  19. Review
  20. Review
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

4 authors.

Ming ZhongDepartment of Chemistry and Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Chang Young Lee
Callie A Croushore
Jonathan V Sweedler

Funding

The UIUC Neuroproteomics Center on Cell-Cell SignalingP30DA018310 · NIDA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI Elena V Romanova · 2004 to 2026
$24.9M
SUBCELLULAR CHARACTERIZATION OF NEUROTRANSMITTERSR01NS031609 · NINDS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI SWEEDLER, JONATHAN V. · 1998 to 2022
$6.2M
NIDA NIH HHS P30 DA018310NIDA NIH HHS P30DA018310NINDS NIH HHS R01 NS031609NINDS NIH HHS R01NS031609
6 · The paper itself

Abstract

Microfluidic technology allows the manipulation of mass-limited samples and when used with cultured cells, enables control of the extracellular microenvironment, making it well suited for studying neurons and their response to environmental perturbations. While matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) provides for off-line coupling to microfluidic devices for characterizing small-volume extracellular releasates, performing quantitative studies with MALDI is challenging. Here we describe a label-free absolute quantitation approach for microfluidic devices. We optimize device fabrication to prevent analyte losses before measurement and then incorporate a substrate that collects the analytes as they flow through a collection channel. Following collection, the channel is interrogated using MS imaging. Rather than quantifying the sample present via MS peak height, the length of the channel containing appreciable analyte signal is used as a measure of analyte amount. A linear relationship between peptide amount and band length is suggested by modeling the adsorption process and this relationship is validated using two neuropeptides, acidic peptide (AP) and α-bag cell peptide [1-9] (αBCP). The variance of length measurement, defined as the ratio of standard error to mean value, is as low as 3% between devices. The limit of detection (LOD) of our system is 600 fmol for AP and 400 fmol for αBCP. Using appropriate calibrations, we determined that an individual Aplysia bag cell neuron secretes 0.15 ± 0.03 pmol of AP and 0.13 ± 0.06 pmol of αBCP after being stimulated with elevated KCl. This quantitation approach is robust, does not require labeling, and is well suited for miniaturized off-line characterization from microfluidic devices.

Indexed as

Microfluidic Analytical TechniquesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnimalsAplysiaDimethylpolysiloxanesNeuronsNeuropeptidesOligopeptidesPotassium Chloridealpha-bag cell peptidebaysilonDimethylpolysiloxanesNeuropeptidesOligopeptidesPotassium Chloride

Identifiers

PMID22508372
PMCPMC3558029

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.