Evidence map›Paper›PMID 31057934›Full record

ArticleMicrosystems & nanoengineering2019

Microfluidic reactors for advancing the MS analysis of fast biological responses.

Iulia M Lazar, Jingren Deng, Mark A Stremler, Shreya Ahuja

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Microfluidics for Peptidomics, Proteomics, and Cell Analysis.Nanomaterials (Basel, Switzerland) · 2021
    Review
  4. Review
  5. 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.

Iulia M Lazar1Department of Biological Sciences, Virginia Tech, 1981 Kraft Drive, Blacksburg, VA 24061 USA.ORCID 0000-0001-7746-7889
Jingren Deng1Department of Biological Sciences, Virginia Tech, 1981 Kraft Drive, Blacksburg, VA 24061 USA.
Mark A Stremler3Department of Mechanical Engineering, Virginia Tech, 780 Drillfield Drive, Room 333P, Blacksburg, VA 24061 USA.
Shreya Ahuja1Department of Biological Sciences, Virginia Tech, 1981 Kraft Drive, Blacksburg, VA 24061 USA.

Funding

Microfluidic Chip for the Analysis of Cell-Surface ProteinsR01GM121920 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI LAZAR, MARIA IULIANA · 2017 to 2021
$1.9M
Orbitrap Elite with ETDS10OD020111 · OD · OREGON STATE UNIVERSITY · PI MAIER, CLAUDIA S · 2015 to 2015
$600k
NIGMS NIH HHS R01 GM121920NIH HHS S10 OD020111
6 · The paper itself

Abstract

The response of cells to physical or chemical stimuli is complex, unfolding on time-scales from seconds to days, with or without de novo protein synthesis, and involving signaling processes that are transient or sustained. By combining the technology of microfluidics that supports fast and precise execution of a variety of cell handling operations, with that of mass spectrometry detection that facilitates an accurate and complex characterization of the protein complement of cells, in this work, we developed a platform that supports (near) real-time sampling and proteome-level capturing of cellular responses to a perturbation such as treatment with mitogens. The geometric design of the chip supports three critical features: (a) capture of a sufficient number of cells to meet the detection limit requirements of mass spectrometry instrumentation, (b) fluid delivery for uniform stimulation of the resident cells, and (c) fast cell recovery, lysis and processing for accurate sampling of time-sensitive cellular responses to a stimulus. COMSOL simulations and microscopy were used to predict and evaluate the flow behavior inside the microfluidic device. Proteomic analysis of the cellular extracts generated by the chip experiments revealed that the identified proteins were representative of all cellular locations, exosomes, and major biological processes related to proliferation and signaling, demonstrating that the device holds promising potential for integration into complex lab-on-chip work-flows that address systems biology questions. The applicability of the chips to study time-sensitive cellular responses is discussed in terms of technological challenges and biological relevance.

Identifiers

PMID31057934
PMCPMC6369226

What OpenQuestion holds

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LicenceCC BY
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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.