Cell migration open data and open science

AN OPEN DATA EXCHANGE
FOR CELL MIGRATION RESEARCH
paola masuzzo
@pcmasuzzo
paola.masuzzo@vib-ugent.be
computational omics and systems biology group
VIB / Ghent University, Ghent, Belgium

CC BY-SA 4.0
MULTIMOT: towards global exchange
of cell migration data
CellMissy: a ‘little but fierce’ software
for cell migration data
Open science: why you should speak it
and how to learn it

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Cell migration is necessary for many
physiological conditions
Masuzzo, PhD thesis, 2016

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Unfortunately, it is also implicated in many
diseases, such as metastatic cancer
Masuzzo, PhD thesis, 2016

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A typical experimental workflow for a cell
migration study is composed of diverse steps
Servier Medical Art, CC-BY 3.0; Cell Image Library, CC-BY 3.0
sample
preparation
image
acquisition
image
processing
data
analysis

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High-throughput experiments
produce complex and rich data sets
sample
preparation
image
acquisition
image
processing
data
analysis
• paper laboratory
notebooks
• electronic
laboratory
notebooks
• spreadsheets
• text files
• protocols
• papers...
• raw files
• XML files
• proprietary
microscope or
acquisition
software files 
ND2 for Nikon, LIF
for Leica, OIB or
OIF for Olympus,
LSM or ZVI for
Zeiss
• image files with
pixel values and
metadata
• png, jpeg, tiff, avi
• text files
describing
processing
algorithms
• text files
describing
extracted features
• graphs, plots
• analysis pipelines
• text files
describing
computational
algorithms...
Servier Medical Art, CC-BY 3.0; Cell Image Library, CC-BY 3.0

CC BY-SA 4.0
CellMissy is our open-source tool for cell
migration data management and analysis
https://github.com/compomics/cellmissy
Masuzzo, Bioinformatics, 2013

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CellMissy guides and captures the
experimental setup

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This experimental setup encloses detailed
metadata annotation

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CellMissy can automatically import all the
data and metadata

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All the data are then stored in a structured
way in a relational database

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Cell migration can occur in both collective
and individual fashion
Collective
migration
Multicellular
streaming
Mesenchymal
Amoeboid
(blebs)
Amoeboid
(pseudopodia,
filopodia)
INDIVIDUAL
MIGRATION
COLLECTIVE
MIGRATION
Adapted from Friedl, J. Exp. Med., 2010

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CellMissy enables efficient collective cell
migration data exploration and analysis
time (min)
Area(μm2
)
wound area
cell-covered area

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A primary focus of data analysis is statistical
comparison of samples
analysis report with graphs,
tables and results
cell sheet velocity (µm²/min)

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Many informative parameters can be derived
from single-cell trajectories
x
y
single cell
Masuzzo, 2017, under revision

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Euclidean
distance
Cumulative
distance
x
y
single cell

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Euclidean
distance
Cumulative
distance
x
y
single cell parameter mathematical description
di: instantaneous
displacement of the
cell centroid between
adjacent time points
𝑑𝑖 = 𝑥𝑖+1 − 𝑥𝑖
2 + 𝑦𝑖+1 − 𝑦𝑖
2
si: instantaneous speed
between adjacent time
points
𝑠𝑖 = 𝑑(𝑝𝑖, 𝑝𝑖+1) ∆𝑡
αi: turning angle
between consecutive
steps
𝛼𝑖 = 𝑡𝑎𝑛−1 𝑦𝑖+1 − 𝑦𝑖 𝑥𝑖+1 − 𝑥𝑖
dtot: cumulative
distance, total distance
travelled
𝑑 𝑡𝑜𝑡 =
𝑖=1
𝑁−1
𝑑 𝑝𝑖, 𝑝𝑖+1
dnet: Euclidean distance,
net distance travelled
𝑑 𝑛𝑒𝑡 = 𝑑 𝑝1, 𝑝 𝑁
ep_dr: end-point
directionality ratio
(confinement ratio,
meandering index)
𝑒𝑝_𝑑𝑟 = 𝑑 𝑛𝑒𝑡 𝑑 𝑡𝑜𝑡
MD: median
displacement
𝑀𝐷 = 𝑚𝑒𝑑𝑖𝑎𝑛 𝑑𝑖
MS: median speed 𝑀𝑆 = 𝑚𝑒𝑑𝑖𝑎𝑛 𝑠𝑖
MTA: median turning
angle
𝑀𝑇𝐴 = 𝑚𝑒𝑑𝑖𝑎𝑛 𝛼𝑖

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Step-centric parameters are aggregated
values of all migration steps

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Trajectory-centric parameters are instead
computed on each cell and then averaged for the
cell population
...
trajectory 1
trajectory 2
trajectory 3
trajectory 4
trajectory 5

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The new single-cell module allows for both
these computations to take place
...
trajectory 1
trajectory 2
trajectory 3
trajectory 4
trajectory 5
trajectory-centric parameters
trajectory displacement (µm)
density
step displacement (µm)
density
pool of migration steps
step-centric parameters

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A flexible two-step filtering criterion is
implemented for data quality control

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Data and metadata exchange options are
already available in CellMissy
lab A

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lab A lab B

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lab B
This is one file in CellMissy! (≈10 MB)
lab A

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But we can easily extend this concept
to a bigger scale
Data
Repository
Local Software

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MULTIMOT is creating an open cell migration
data exchange ecosystem
https://multimot.org/
Masuzzo, Trends in Cell Biology, 2016

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MULTIMOT is creating an open cell migration
data exchange ecosystem
https://cmso.science/
Masuzzo, Trends in Cell Biology, 2016

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This open data ecosystem falls into the
broader context of open science
Knoth and Pontika, Open Science Taxonomy, figshare, 2015

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There are four widely recognized thematic
pillars of open science
Masuzzo, PeerJ Preprints, 2017
https://doi.org/10.7287/peerj.preprints.2689v1

CC BY-SA 4.0
OPEN
SCIENCE
D
A
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> OPEN DATA

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Open data means freedom to access, use
and re-use for any purpose
http://opendefinition.org/od/

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Open data means freedom to access, use
and re-use for any purpose
There are many open knowledge definition conformant licenses
CC0 waiver
https://creativecommons.org/publicdomain/zero/1.0/
CC BY (Attribution only)
https://creativecommons.org/licenses/by/4.0/
CC BY-SA (Attribution ShareAlike)
https://creativecommons.org/licenses/by-sa/4.0/
http://opendefinition.org/od/, http://opendefinition.org/licenses

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A lot of repositories are available to upload
research materials and data

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You certainly don’t need to know more than
1,500 repositories by heart
https://biosharing.org/databases/

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OPEN
SCIENCE
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P
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> OPEN ACCESS

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The impacts of open access are very broad
and affect many areas
Tennant, Masuzzo, F1000Research, 2016
Wikimedia Commons, Public Domain

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Publish your work open access can bring you
enormous benefits
CC-BY Danny Kingsley & Sarah Brown

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Do you want to engage with Open Science?
When possible, use and cite existing public data
Whenever feasible, share your research data through trusted
repositories. General-purpose repositories and domain-specific ones
are available on the web. Make sure you share metadata as well
If you use software code as part of your research cycle, release the
code. Specify the open source license you intend to use, and link the
readers to a stable repository that hosts the code
Post free copies of your research articles online. Most journals allow
this, sometimes after an embargo period of 6-12 months
Post preprints of your research manuscripts online, ideally at the same
time of official submission to a journal
When possible, choose an open access journal as venue for your
scientific articles. Keep in mind that subscription journals also offer an
open access solution, upon payment of extra fees

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www.compomics.com
@compomics

Cell migration open data and open science

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