Evidence map›Paper›PMID 28239411›Full record

ArticleJournal of biological engineering2017

Reliable measurement of

Marilisa Cortesi, Lucia Bandiera, Alice Pasini, Alessandro Bevilacqua, Alessandro Gherardi, Simone Furini, Emanuele Giordano

Open access · goldAbstract read
In one paragraph

Article in Journal of biological engineering, 2017. 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
0.6field-weighted citation impact, top 35% 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, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

7 authors at 4 institutions in 3 countries.

Marilisa CortesiDepartment of Electrical, Laboratory of Cellular and Molecular Engineering "S.Cavalcanti", Electronic and Information Engineering "G.Marconi" (DEI), University of Bologna, Cesena, Italy.ORCID 0000-0002-3731-7760
Lucia BandieraDepartment of Electrical, Laboratory of Cellular and Molecular Engineering "S.Cavalcanti", Electronic and Information Engineering "G.Marconi" (DEI), University of Bologna, Cesena, Italy.
Alice PasiniDepartment of Electrical, Laboratory of Cellular and Molecular Engineering "S.Cavalcanti", Electronic and Information Engineering "G.Marconi" (DEI), University of Bologna, Cesena, Italy.
Alessandro BevilacquaAdvanced Research Center on Electronic Systems for Information and Communication Technologies "E. De Castro" (ARCES), University of Bologna, Bologna, Italy.
Alessandro GherardiAdvanced Research Center on Electronic Systems for Information and Communication Technologies "E. De Castro" (ARCES), University of Bologna, Bologna, Italy.
Simone FuriniDepartment of Medical Biotechnologies, University of Siena, Siena, Italy.
Emanuele GiordanoDepartment of Electrical, Laboratory of Cellular and Molecular Engineering "S.Cavalcanti", Electronic and Information Engineering "G.Marconi" (DEI), University of Bologna, Cesena, Italy.
University of Bologna · ITCentre International de Recherche en Infectiologie · FRUniversity of Nottingham · GBUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantifying gene expression at single cell level is fundamental for the complete characterization of synthetic gene circuits, due to the significant impact of noise and inter-cellular variability on the system's functionality. Commercial set-ups that allow the acquisition of fluorescent signal at single cell level (flow cytometers or quantitative microscopes) are expensive apparatuses that are hardly affordable by small laboratories.

methodsA protocol that makes a standard optical microscope able to acquire quantitative, single cell, fluorescent data from a bacterial population transformed with synthetic gene circuitry is presented. Single cell fluorescence values, acquired with a microscope set-up and processed with custom-made software, are compared with results that were obtained with a flow cytometer in a bacterial population transformed with the same gene circuitry.

resultsThe high correlation between data from the two experimental set-ups, with a correlation coefficient computed over the tested dynamic range > 0.99, proves that a standard optical microscope- when coupled with appropriate software for image processing- might be used for quantitative single-cell fluorescence measurements. The calibration of the set-up, together with its validation, is described.

conclusionsThe experimental protocol described in this paper makes quantitative measurement of single cell fluorescence accessible to laboratories equipped with standard optical microscope set-ups. Our method allows for an affordable measurement/quantification of intercellular variability, whose better understanding of this phenomenon will improve our comprehension of cellular behaviors and the design of synthetic gene circuits. All the required software is freely available to the synthetic biology community (MUSIQ Microscope flUorescence SIngle cell Quantification).

Indexed as

Fluorescence microscopyPhenotypic noiseSingle-cell fluorescenceSynthetic biology

Identifiers

PMID28239411
PMCPMC5317050
OpenAlexW2586925239

What OpenQuestion holds

Textmetadata
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.