Evidence map›Paper›PMID 25352809›Full record

ArticleFrontiers in physiology2014

Correlative intravital imaging of cGMP signals and vasodilation in mice.

Martin Thunemann, Kjestine Schmidt, Cor de Wit, Xiaoxing Han, Rakesh K Jain, Dai Fukumura, Robert Feil

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

19 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  4. Cell-cell communication: new insights and clinical implications.Signal transduction and targeted therapy · 2024
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  6. Review
  7. Article
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  9. Review
  10. Article
  11. Article
  12. Review
  13. cGMP Signaling and Vascular Smooth Muscle Cell Plasticity.Journal of cardiovascular development and disease · 2018
    Review
  14. Cortical Actin Dynamics in Endothelial Permeability.Current topics in membranes · 2018
    Article
  15. Imaging sympathetic neurogenic CaAutonomic neuroscience : basic & clinical · 2017
    Review
  16. Dorsal skinfold chamber models in mice.GMS Interdisciplinary plastic and reconstructive surgery DGPW · 2017
    Article
  17. Review
  18. Review
  19. 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

7 authors at 1 institution in 1 country.

Martin ThunemannInterfakultäres Institut für Biochemie, University of Tübingen Tübingen, Germany.
Kjestine SchmidtInstitut für Physiologie, Universität zu Lübeck Lübeck, Germany.
Cor de WitInstitut für Physiologie, Universität zu Lübeck Lübeck, Germany.
Xiaoxing HanEdwin L. Steele Laboratory, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School Boston, MA, USA.
Rakesh K JainEdwin L. Steele Laboratory, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School Boston, MA, USA.
Dai FukumuraEdwin L. Steele Laboratory, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School Boston, MA, USA.
Robert FeilInterfakultäres Institut für Biochemie, University of Tübingen Tübingen, Germany.
University of Tübingen · DE

Funding

Vascular Normalization: Rolse of Perivascular CellsP01CA080124 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI FUKUMURA, DAI · 2000 to 2016
$35.0M
NO in Tumor Angiogenesis,Microcirculation &Rad.TherapyR01CA096915 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI FUKUMURA, DAI · 2002 to 2012
$3.0M
NCI NIH HHS P01 CA080124NCI NIH HHS R01 CA096915
6 · The paper itself

Abstract

Cyclic guanosine monophosphate (cGMP) is an important signaling molecule and drug target in the cardiovascular system. It is well known that stimulation of the vascular nitric oxide (NO)-cGMP pathway results in vasodilation. However, the spatiotemporal dynamics of cGMP signals themselves and the cGMP concentrations within specific cardiovascular cell types in health, disease, and during pharmacotherapy with cGMP-elevating drugs are largely unknown. To facilitate the analysis of cGMP signaling in vivo, we have generated transgenic mice that express fluorescence resonance energy transfer (FRET)-based cGMP sensor proteins. Here, we describe two models of intravital FRET/cGMP imaging in the vasculature of cGMP sensor mice: (1) epifluorescence-based ratio imaging in resistance-type vessels of the cremaster muscle and (2) ratio imaging by multiphoton microscopy within the walls of subcutaneous blood vessels accessed through a dorsal skinfold chamber. Both methods allow simultaneous monitoring of NO-induced cGMP transients and vasodilation in living mice. Detailed protocols of all steps necessary to perform and evaluate intravital imaging experiments of the vasculature of anesthetized mice including surgery, imaging, and data evaluation are provided. An image segmentation approach is described to estimate FRET/cGMP changes within moving structures such as the vessel wall during vasodilation. The methods presented herein should be useful to visualize cGMP or other biochemical signals that are detectable with FRET-based biosensors, such as cyclic adenosine monophosphate or Ca(2+), and to correlate them with respective vascular responses. With further refinement and combination of transgenic mouse models and intravital imaging technologies, we envision an exciting future, in which we are able to "watch" biochemistry, (patho-)physiology, and pharmacotherapy in the context of a living mammalian organism.

Indexed as

biosensorcremastercyclic GMPdorsal skinfold chamberfluorescence resonance energy transferintravital imagingmicrocirculationmultiphoton microscopy

Identifiers

PMID25352809
PMCPMC4196583
OpenAlexW2169083659

What OpenQuestion holds

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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.