Evidence map›Paper›PMID 26435755›Full record

ArticleAnalytical methods : advancing methods and applications2012

Rapid morphological characterization of isolated mitochondria using Brownian motion.

Akilan Palanisami, Jie Fang, Thomas W Lowder, Hawley Kunz, John H Miller

Abstract read
In one paragraph

Article in Analytical methods : advancing methods and applications, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Akilan PalanisamiTexas Center for Superconductivity, University of Houston, 202 Houston Science Center, Houston, TX, USA. ; Wellman Center for Photomedicine, Massachusetts General Hospital, 40 Blossom St, Boston, MA, 02114, USA.
Jie FangTexas Center for Superconductivity, University of Houston, 202 Houston Science Center, Houston, TX, USA.
Thomas W LowderDepartment of Health and Human Performance, University of Houston, 3855 Holman Street, Houston, TX, USA.
Hawley KunzDepartment of Health and Human Performance, University of Houston, 3855 Holman Street, Houston, TX, USA.
John H MillerTexas Center for Superconductivity, University of Houston, 202 Houston Science Center, Houston, TX, USA.
University of Houston · US

Funding

Noninvasive Sensors of Metabolic ActivityR21CA133153 · NCI · UNIVERSITY OF HOUSTON · PI MILLER, JOHN HARRIS · 2007 to 2009
$797k
NCI NIH HHS R21 CA133153
6 · The paper itself

Abstract

Mitochondrial morphology has been associated with numerous pathologies including cancer, diabetes, obesity and heart disease. However, the connection is poorly understood-in part due to the difficulty of characterizing the morphology. This impedes the use of morphology as a tool for disease detection/monitoring. Here, we use the Brownian motion of isolated mitochondria to characterize their size and shape in a high throughput fashion. By using treadmill exercise training, mitochondria from heart and gastrocnemius of Balb/c mice were modulated in size and used to investigate the protocol. Consistent with previous reports, the heart mitochondria of untrained mice increased 5% in diameter immediately after a single bout of moderate exercise (1.091 ± 0.004 μm) as compared to completely sedentary controls (1.040 ± 0.022 μm). In addition, no change was observed in the size of gastrocnemius mitochondria (1.025 ± 0.018 μm), which was also in agreement with previous studies. The method was also successfully applied to smaller

Identifiers

PMID26435755
PMCPMC4590767
OpenAlexW2028758067

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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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.