Evidence map›Paper›PMID 27198224›Full record

ArticleProteomics2016

Skeletal muscle fiber analysis by atmospheric pressure scanning microprobe matrix-assisted laser desorption/ionization mass spectrometric imaging at high mass and high spatial resolution.

Yu-Hsuan Tsai, Dhaka Ram Bhandari, Timothy J Garrett, Christy S Carter, Bernhard Spengler, Richard A Yost

Abstract read
In one paragraph

Article in Proteomics, 2016. 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. Review
  2. Article
  3. Article
  4. Article
  5. 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

6 authors.

Yu-Hsuan TsaiDepartment of Chemistry, University of Florida, Gainesville, FL, USA.
Dhaka Ram BhandariInstitute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, Giessen, Hessen, Germany.
Timothy J GarrettDepartment of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, USA.
Christy S CarterDepartment of Aging and Geriatric Research, Institute on Aging, College of Medicine, University of Florida, Gainesville, FL, USA.
Bernhard SpenglerInstitute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, Giessen, Hessen, Germany.
Richard A YostDepartment of Chemistry, University of Florida, Gainesville, FL, USA.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI Peihua Qiu · 2007 to 2026
$22.8M
UF Clinical and Translational Science AwardUL1TR000064 · NCATS · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2012 to 2014
$12.2M
Southeast Resource Center for Integrated Metabolomics (SECIM)U24DK097209 · NIDDK · UNIVERSITY OF FLORIDA · PI EDISON, ARTHUR S, YOST, RICHARD A. · 2013 to 2017
$9.2M
NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR001427NIA NIH HHS P30 AG028740NIDDK NIH HHS U24 DK097209
6 · The paper itself

Abstract

Skeletal muscles are composed of heterogeneous muscle fibers with various fiber types. These fibers can be classified into different classes based on their different characteristics. MALDI mass spectrometric imaging (MSI) has been applied to study and visualize different metabolomics profiles of different fiber types. Here, skeletal muscles were analyzed by atmospheric pressure scanning microprobe MALDI-MSI at high spatial and high mass resolution.

Indexed as

AnimalsAtmospheric PressureMetabolomicsMicroscopy, Scanning ProbeMuscle Fibers, SkeletalRatsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAtmospheric pressure MALDI mass spectrometric imagingBiomedicineHigh mass resolution MSHigh spatial resolution MSMetabolomicsSkeletal muscle fiber type

Identifiers

PMID27198224
PMCPMC5555214

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.