Evidence map›Paper›PMID 28028123›Full record

ReviewThe Journal of general physiology2017

Exploring cells with targeted biosensors.

Diana Pendin, Elisa Greotti, Konstantinos Lefkimmiatis, Tullio Pozzan

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of general physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
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  12. Lighting Up CaCells · 2021
    Review
  13. Article
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  15. CUTie2: The Attack of the Cyclic Nucleotide Sensor Clones.Frontiers in molecular biosciences · 2021
    Article
  16. Review
  17. Article
  18. Mt-fura-2, a Ratiometric Mitochondria-Targeted CaMethods in molecular biology (Clifton, N.J.) · 2021
    Article
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Diana PendinNeuroscience Institute, National Research Council, Padua Section, 35121 Padua, Italy.
Elisa GreottiNeuroscience Institute, National Research Council, Padua Section, 35121 Padua, Italy.ORCID http://orcid.org/0000-0003-3702-4789
Konstantinos LefkimmiatisNeuroscience Institute, National Research Council, Padua Section, 35121 Padua, Italy.ORCID http://orcid.org/0000-0001-7137-7866
Tullio PozzanNeuroscience Institute, National Research Council, Padua Section, 35121 Padua, Italy.
University of Padua · ITVeneto Institute of Molecular Medicine · IT

Funding

British Heart Foundation RE/13/1/30181
6 · The paper itself

Abstract

Cellular signaling networks are composed of multiple pathways, often interconnected, that form complex networks with great potential for cross-talk. Signal decoding depends on the nature of the message as well as its amplitude, temporal pattern, and spatial distribution. In addition, the existence of membrane-bound organelles, which are both targets and generators of messages, add further complexity to the system. The availability of sensors that can localize to specific compartments in live cells and monitor their targets with high spatial and temporal resolution is thus crucial for a better understanding of cell pathophysiology. For this reason, over the last four decades, a variety of strategies have been developed, not only to generate novel and more sensitive probes for ions, metabolites, and enzymatic activity, but also to selectively deliver these sensors to specific intracellular compartments. In this review, we summarize the principles that have been used to target organic or protein sensors to different cellular compartments and their application to cellular signaling.

Indexed as

Biosensing TechniquesAnimalsCell MembraneSignal Transduction

Identifiers

PMID28028123
PMCPMC5217087
OpenAlexW2566577207

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.