Evidence map›Paper›PMID 28349963›Full record

ArticleScientific reports2017

A platform for high-throughput bioenergy production phenotype characterization in single cells.

Laimonas Kelbauskas, Honor Glenn, Clifford Anderson, Jacob Messner, Kristen B Lee, Ganquan Song, Jeff Houkal, Fengyu Su, Liqiang Zhang, Yanqing Tian and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. 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
2.5field-weighted citation impact, top 12% 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, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  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

14 authors at 1 institution in 1 country.

Laimonas KelbauskasCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Honor GlennCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Clifford AndersonCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Jacob MessnerCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Kristen B LeeCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Ganquan SongCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Jeff HoukalCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Fengyu SuCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Liqiang ZhangCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Yanqing TianCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Hong WangCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Kimberly BusseyCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Roger H JohnsonCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Deirdre R MeldrumCenter for Biosignatures Discovery Automation, The Biodesign Institute, Arizona State University, 1001S. McAllister Ave., Tempe, AZ 85287, USA.
Arizona State University · US

Funding

CEGSTech: Integrated Biologically-Active MicrosystemsP50HG002360 · NHGRI · UNIVERSITY OF WASHINGTON · PI MELDRUM, DEIRDRE R. · 2001 to 2012
$37.8M
Live-cell Microarray for high-throughput observation of metabolic signaturesU01CA164250 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MELDRUM, DEIRDRE R. · 2011 to 2013
$2.1M
NCI NIH HHS U01 CA164250NHGRI NIH HHS P50 HG002360
6 · The paper itself

Abstract

Driven by an increasing number of studies demonstrating its relevance to a broad variety of disease states, the bioenergy production phenotype has been widely characterized at the bulk sample level. Its cell-to-cell variability, a key player associated with cancer cell survival and recurrence, however, remains poorly understood due to ensemble averaging of the current approaches. We present a technology platform for performing oxygen consumption and extracellular acidification measurements of several hundreds to 1,000 individual cells per assay, while offering simultaneous analysis of cellular communication effects on the energy production phenotype. The platform comprises two major components: a tandem optical sensor for combined oxygen and pH detection, and a microwell device for isolation and analysis of single and few cells in hermetically sealed sub-nanoliter chambers. Our approach revealed subpopulations of cells with aberrant energy production profiles and enables determination of cellular response variability to electron transfer chain inhibitors and ion uncouplers.

Indexed as

BioreactorsCell CommunicationCell Line, TumorCell SurvivalEnergy MetabolismHumansOxidative PhosphorylationOxygenOxygen ConsumptionOxygen

Identifiers

PMID28349963
PMCPMC5368665
OpenAlexW2602200632

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.