Evidence map›Paper›PMID 21546993›Full record

ArticleAdvances in bioscience and biotechnology (Print)2010

Direct measurement of oxygen consumption rates from attached and unattached cells in a reversibly sealed, diffusionally isolated sample chamber.

Timothy J Strovas, Sarah C McQuaide, Judy B Anderson, Vivek Nandakumar, Marina G Kalyuzhnaya, Lloyd W Burgess, Mark R Holl, Deirdre R Meldrum, Mary E Lidstrom

Open access · diamondAbstract read
In one paragraph

Article in Advances in bioscience and biotechnology (Print), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

9 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Oxygenation as a driving factor in epithelial differentiation at the air-liquid interface.Integrative biology : quantitative biosciences from nano to macro · 2021
    Article
  5. Article
  6. Controlled gas exchange in whole lung bioreactors.Journal of tissue engineering and regenerative medicine · 2018
    Article
  7. Article
  8. Review
  9. 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

9 authors at 2 institutions in 1 country.

Timothy J StrovasDepartment of Electrical Engineering, University of Washington, Seattle, USA.
Sarah C McQuaide
Judy B Anderson
Vivek Nandakumar
Marina G Kalyuzhnaya
Lloyd W Burgess
Mark R Holl
Deirdre R Meldrum
Mary E Lidstrom
University of Washington · USMicroscale (United States) · US

Funding

CEGSTech: Integrated Biologically-Active MicrosystemsP50HG002360 · NHGRI · UNIVERSITY OF WASHINGTON · PI MELDRUM, DEIRDRE R. · 2001 to 2012
$37.8M
NHGRI NIH HHS P50 HG002360
6 · The paper itself

Abstract

Oxygen consumption is a fundamental component of metabolic networks, mitochondrial function, and global carbon cycling. To date there is no method available that allows for replicate measurements on attached and unattached biological samples without compensation for extraneous oxygen leaking into the system. Here we present the Respiratory Detection System, which is compatible with virtually any biological sample. The RDS can be used to measure oxygen uptake in microliter-scale volumes with a reversibly sealed sample chamber, which contains a porphyrin-based oxygen sensor. With the RDS, one can maintain a diffusional seal for up to three hours, allowing for the direct measurement of respiratory function of samples with fast or slow metabolic rates. The ability to easily measure oxygen uptake in small volumes with small populations or dilute samples has implications in cell biology, environmental biology, and clinical diagnostics.

Identifiers

PMID21546993
PMCPMC3086294
OpenAlexW2004255262

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.