Evidence map›Paper›PMID 26563585›Full record

ArticleScientific reports2015

CalQuo: automated, simultaneous single-cell and population-level quantification of global intracellular Ca2+ responses.

Marco Fritzsche, Ricardo A Fernandes, Huw Colin-York, Ana M Santos, Steven F Lee, B Christoffer Lagerholm, Simon J Davis, Christian Eggeling

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. CalQuoScientific reports · 2017
    Article
  8. Article
  9. Article
  10. 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

8 authors.

Marco FritzscheMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, OX3 9DS Oxford, United Kingdom.
Ricardo A FernandesMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, OX3 9DS Oxford, United Kingdom.
Huw Colin-YorkMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, OX3 9DS Oxford, United Kingdom.
Ana M SantosMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, OX3 9DS Oxford, United Kingdom.
Steven F LeeDepartment of Chemistry, University of Cambridge, CB2 1EW Cambridge, United Kingdom.
B Christoffer LagerholmWolfson Imaging Centre Oxford, Weatherall Institute of Molecular Medicine, University of Oxford, OX3 9DS Oxford, United Kingdom.
Simon J DavisMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, OX3 9DS Oxford, United Kingdom.
Christian EggelingMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford, OX3 9DS Oxford, United Kingdom.

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council G0902418Medical Research Council MC_PC_14131Medical Research Council MC_UU_12010Medical Research Council MC_UU_12010/4Medical Research Council MC_UU_12010/9Medical Research Council MC_UU_12025Medical Research Council MR/K01577X/1Medical Research Council MR/M00919X/1Wellcome Trust 098274
6 · The paper itself

Abstract

Detecting intracellular calcium signaling with fluorescent calcium indicator dyes is often coupled with microscopy techniques to follow the activation state of non-excitable cells, including lymphocytes. However, the analysis of global intracellular calcium responses both at the single-cell level and in large ensembles simultaneously has yet to be automated. Here, we present a new software package, CalQuo (Calcium Quantification), which allows the automated analysis and simultaneous monitoring of global fluorescent calcium reporter-based signaling responses in up to 1000 single cells per experiment, at temporal resolutions of sub-seconds to seconds. CalQuo quantifies the number and fraction of responding cells, the temporal dependence of calcium signaling and provides global and individual calcium-reporter fluorescence intensity profiles. We demonstrate the utility of the new method by comparing the calcium-based signaling responses of genetically manipulated human lymphocytic cell lines.

Indexed as

SoftwareAniline CompoundsCalciumCalcium SignalingCell Line, TumorComputational BiologyFluorescent DyesHEK293 CellsHumansIntracellular SpaceJurkat CellsReproducibility of ResultsSingle-Cell AnalysisTime-Lapse ImagingT-LymphocytesXanthenesAniline CompoundsCalciumFluo 4Fluorescent DyesXanthenes

Identifiers

PMID26563585
PMCPMC4643230

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.