Literature DB >> 27110723

FlowCal: A User-Friendly, Open Source Software Tool for Automatically Converting Flow Cytometry Data from Arbitrary to Calibrated Units.

Sebastian M Castillo-Hair1, John T Sexton1, Brian P Landry1, Evan J Olson1, Oleg A Igoshin1,2,3, Jeffrey J Tabor1,3.   

Abstract

Flow cytometry is widely used to measure gene expression and other molecular biological processes with single cell resolution via fluorescent probes. Flow cytometers output data in arbitrary units (a.u.) that vary with the probe, instrument, and settings. Arbitrary units can be converted to the calibrated unit molecules of equivalent fluorophore (MEF) using commercially available calibration particles. However, there is no convenient, nonproprietary tool available to perform this calibration. Consequently, most researchers report data in a.u., limiting interpretation. Here, we report a software tool named FlowCal to overcome current limitations. FlowCal can be run using an intuitive Microsoft Excel interface, or customizable Python scripts. The software accepts Flow Cytometry Standard (FCS) files as inputs and is compatible with different calibration particles, fluorescent probes, and cell types. Additionally, FlowCal automatically gates data, calculates common statistics, and produces publication quality plots. We validate FlowCal by calibrating a.u. measurements of E. coli expressing superfolder GFP (sfGFP) collected at 10 different detector sensitivity (gain) settings to a single MEF value. Additionally, we reduce day-to-day variability in replicate E. coli sfGFP expression measurements due to instrument drift by 33%, and calibrate S. cerevisiae Venus expression data to MEF units. Finally, we demonstrate a simple method for using FlowCal to calibrate fluorescence units across different cytometers. FlowCal should ease the quantitative analysis of flow cytometry data within and across laboratories and facilitate the adoption of standard fluorescence units in synthetic biology and beyond.

Entities:  

Keywords:  calibrated gene expression units; flow cytometry; fluorescent protein; molecules of equivalent fluorophore

Mesh:

Substances:

Year:  2016        PMID: 27110723      PMCID: PMC5556937          DOI: 10.1021/acssynbio.5b00284

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  16 in total

1.  Formalization of the MESF unit of fluorescence intensity.

Authors:  Abe Schwartz; Adolfas K Gaigalas; Lili Wang; Gerald E Marti; Robert F Vogt; E Fernandez-Repollet
Journal:  Cytometry B Clin Cytom       Date:  2004-01       Impact factor: 3.058

2.  Stochastic gene expression in a single cell.

Authors:  Michael B Elowitz; Arnold J Levine; Eric D Siggia; Peter S Swain
Journal:  Science       Date:  2002-08-16       Impact factor: 47.728

3.  Proposed new data file standard for flow cytometry, version FCS 3.0.

Authors:  L C Seamer; C B Bagwell; L Barden; D Redelman; G C Salzman; J C Wood; R F Murphy
Journal:  Cytometry       Date:  1997-06-01

4.  Data file standard for flow cytometry. Data File Standards Committee of the Society for Analytical Cytology.

Authors: 
Journal:  Cytometry       Date:  1990

5.  Refactoring and optimization of light-switchable Escherichia coli two-component systems.

Authors:  Sebastian R Schmidl; Ravi U Sheth; Andrew Wu; Jeffrey J Tabor
Journal:  ACS Synth Biol       Date:  2014-10-11       Impact factor: 5.110

6.  Characterizing bacterial gene circuit dynamics with optically programmed gene expression signals.

Authors:  Evan J Olson; Lucas A Hartsough; Brian P Landry; Raghav Shroff; Jeffrey J Tabor
Journal:  Nat Methods       Date:  2014-03-09       Impact factor: 28.547

7.  In silico feedback for in vivo regulation of a gene expression circuit.

Authors:  Andreas Milias-Argeitis; Sean Summers; Jacob Stewart-Ornstein; Ignacio Zuleta; David Pincus; Hana El-Samad; Mustafa Khammash; John Lygeros
Journal:  Nat Biotechnol       Date:  2011-11-06       Impact factor: 54.908

Review 8.  Bridging the gap: a roadmap to breaking the biological design barrier.

Authors:  Jacob Beal
Journal:  Front Bioeng Biotechnol       Date:  2015-01-20

9.  Measuring the activity of BioBrick promoters using an in vivo reference standard.

Authors:  Jason R Kelly; Adam J Rubin; Joseph H Davis; Caroline M Ajo-Franklin; John Cumbers; Michael J Czar; Kim de Mora; Aaron L Glieberman; Dileep D Monie; Drew Endy
Journal:  J Biol Eng       Date:  2009-03-20       Impact factor: 4.355

10.  Reproducibility of Fluorescent Expression from Engineered Biological Constructs in E. coli.

Authors:  Jacob Beal; Traci Haddock-Angelli; Markus Gershater; Kim de Mora; Meagan Lizarazo; Jim Hollenhorst; Randy Rettberg
Journal:  PLoS One       Date:  2016-03-03       Impact factor: 3.240

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1.  Self-Reporting Transposons Enable Simultaneous Readout of Gene Expression and Transcription Factor Binding in Single Cells.

Authors:  Arnav Moudgil; Michael N Wilkinson; Xuhua Chen; June He; Alexander J Cammack; Michael J Vasek; Tomás Lagunas; Zongtai Qi; Matthew A Lalli; Chuner Guo; Samantha A Morris; Joseph D Dougherty; Robi D Mitra
Journal:  Cell       Date:  2020-07-24       Impact factor: 41.582

2.  Maximum Caliber Can Build and Infer Models of Oscillation in a Three-Gene Feedback Network.

Authors:  Taylor Firman; Anar Amgalan; Kingshuk Ghosh
Journal:  J Phys Chem B       Date:  2019-01-09       Impact factor: 2.991

Review 3.  Design Automation in Synthetic Biology.

Authors:  Evan Appleton; Curtis Madsen; Nicholas Roehner; Douglas Densmore
Journal:  Cold Spring Harb Perspect Biol       Date:  2017-04-03       Impact factor: 10.005

4.  Reverse transduction can improve efficiency of AAV vectors in transduction-resistant cells.

Authors:  Esther J Lee; Tawana M Robinson; Jeffrey J Tabor; Antonios G Mikos; Junghae Suh
Journal:  Biotechnol Bioeng       Date:  2018-10-01       Impact factor: 4.530

5.  Method for reproducible automated bacterial cell culture and measurement.

Authors:  David Ross; Peter D Tonner; Olga B Vasilyeva
Journal:  Synth Biol (Oxf)       Date:  2022-08-10

6.  Low-Cost Microplate Reader with 3D Printed Parts for under 500 USD.

Authors:  Jonathan E Thompson
Journal:  Sensors (Basel)       Date:  2022-04-23       Impact factor: 3.847

7.  The mitochondrial Ca2+ uptake regulator, MICU1, is involved in cold stress-induced ferroptosis.

Authors:  Toshitaka Nakamura; Motoyuki Ogawa; Kazuki Kojima; Saki Takayanagi; Shunya Ishihara; Kazuki Hattori; Isao Naguro; Hidenori Ichijo
Journal:  EMBO Rep       Date:  2021-04-06       Impact factor: 8.807

8.  Synthetic neural-like computing in microbial consortia for pattern recognition.

Authors:  Ximing Li; Luna Rizik; Valeriia Kravchik; Maria Khoury; Netanel Korin; Ramez Daniel
Journal:  Nat Commun       Date:  2021-05-25       Impact factor: 14.919

9.  Mucosal acidosis elicits a unique molecular signature in epithelia and intestinal tissue mediated by GPR31-induced CREB phosphorylation.

Authors:  Ian M Cartwright; Alexander S Dowdell; Jordi M Lanis; Kathryn R Brink; Andrew Mu; Rachael E Kostelecky; Rachel E M Schaefer; Nichole Welch; Joseph C Onyiah; Caroline H T Hall; Mark E Gerich; Jeffrey J Tabor; Sean P Colgan
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-18       Impact factor: 12.779

10.  Quantitative Kinetic Models from Intravital Microscopy: A Case Study Using Hepatic Transport.

Authors:  Meysam Tavakoli; Konstantinos Tsekouras; Richard Day; Kenneth W Dunn; Steve Pressé
Journal:  J Phys Chem B       Date:  2019-08-15       Impact factor: 3.466

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