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00:00:00 2001 From: The Open Journals editorial robot <89919391+editorialbot@users.noreply.github.com> Date: Sun, 15 Oct 2023 07:29:10 +0100 Subject: [PATCH 2/6] Creating 10.21105.joss.04877.crossref.xml --- joss.04877/10.21105.joss.04877.crossref.xml | 217 ++++++++++++++++++++ 1 file changed, 217 insertions(+) create mode 100644 joss.04877/10.21105.joss.04877.crossref.xml diff --git a/joss.04877/10.21105.joss.04877.crossref.xml b/joss.04877/10.21105.joss.04877.crossref.xml new file mode 100644 index 0000000000..8dc5e7f841 --- /dev/null +++ b/joss.04877/10.21105.joss.04877.crossref.xml @@ -0,0 +1,217 @@ + + + + 20231015T062834-eeae8dc51ba24d86660f30ca546d63410a5797f0 + 20231015062834 + + JOSS Admin + admin@theoj.org + + The Open Journal + + + + + Journal of Open Source Software + JOSS + 2475-9066 + + 10.21105/joss + https://joss.theoj.org + + + + + 10 + 2023 + + + 8 + + 90 + + + + OT_Analysis: a software for rich analysis of force +curves when probing living cells with optical tweezers + + + + Thierry + Galliano + + + Guillaume + Gay + https://orcid.org/0000-0002-5444-5246 + + + Laurent + Limozin + https://orcid.org/0000-0001-9523-8086 + + + Pierre-Henri + Puech + https://orcid.org/0000-0002-8521-0685 + + + + 10 + 15 + 2023 + + + 4877 + + + 10.21105/joss.04877 + + + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + + + + Software archive + 10.5281/zenodo.8345307 + + + GitHub review issue + https://github.com/openjournals/joss-reviews/issues/4877 + + + + 10.21105/joss.04877 + https://joss.theoj.org/papers/10.21105/joss.04877 + + + https://joss.theoj.org/papers/10.21105/joss.04877.pdf + + + + + + The Immune Synapse: Methods and +Protocols + 978-1-4939-6879-4 + 2017 + Baldari, C. T., & Dustin, M. L. +(Eds.). (2017). The Immune Synapse: Methods and Protocols. Humana Press. +ISBN: 978-1-4939-6879-4 + + + Cytotoxic T Cells Use Mechanical Force to +Potentiate Target Cell Killing + Basu + Cell + 1 + 165 + 10.1016/j.cell.2016.01.021 + 2016 + Basu, R., Whitlock, B. M., Husson, +J., Lieberman, J., Kam, L. C., & Huse, M. (2016). Cytotoxic T Cells +Use Mechanical Force to Potentiate Target Cell Killing. Cell, 165(1), +100–110. +https://doi.org/10.1016/j.cell.2016.01.021 + + + Optical tweezers: Methods and +protocols + 978-1-4939-6421-5 + 2017 + Gennerich, A. (Ed.). (2017). Optical +tweezers: Methods and protocols. Humana Press. +ISBN: 978-1-4939-6421-5 + + + Control of Directed Cell Migration In Vivo by +Membrane-to-Cortex Attachment + Diz-Muñoz + PLoS Biology + 11 + 8 + 10.1371/journal.pbio.1000544 + 1545-7885 + 2010 + Diz-Muñoz, A., Krieg, M., Bergert, +M., Ibarlucea-Benitez, I., Muller, D. J., Paluch, E., & Heisenberg, +C.-P. (2010). Control of Directed Cell Migration In Vivo by +Membrane-to-Cortex Attachment. PLoS Biology, 8(11), e1000544. +https://doi.org/10.1371/journal.pbio.1000544 + + + Dissecting T-cell mechanosensing at molecular +and cellular scales + Sadoun + Wiley Analytical Science + 2020 + Sadoun, A., Mustapha, F., Ndao, O., +Eich, G., Hamon, Y., Limozin, L., & Puech, P. H. (2020). Dissecting +T-cell mechanosensing at molecular and cellular scales. Wiley Analytical +Science. +https://analyticalscience.wiley.com/do/10.1002/was.00010013 + + + Mechanotransduction as a major driver of cell +behaviour: Mechanisms, and relevance to cell organization and future +research + Puech + Open Biology + 11 + 11 + 10.1098/rsob.210256 + 2046-2441 + 2021 + Puech, P.-H., & Bongrand, P. +(2021). Mechanotransduction as a major driver of cell behaviour: +Mechanisms, and relevance to cell organization and future research. Open +Biology, 11(11), 210256. +https://doi.org/10.1098/rsob.210256 + + + Probing mechanical interaction of immune +receptors and cytoskeleton by membrane nanotube +extraction + Manca + Scientific Reports + 13 + 10.1038/s41598-023-42599-9 + 2023 + Manca, F., Eich, G., N’Dao, O., +Normand, L., Sengupta, K., Limozin, L., & Puech, P.-H. (2023). +Probing mechanical interaction of immune receptors and cytoskeleton by +membrane nanotube extraction. Scientific Reports, 13, 15652. +https://doi.org/10.1038/s41598-023-42599-9 + + + Nanite: Using machine learning to assess the +quality of atomic force microscopy-enabled nano-indentation +data + Müller + BMC Bioinformatics + 1 + 20 + 10.1186/s12859-019-3010-3 + 1471-2105 + 2019 + Müller, P., Abuhattum, S., Möllmert, +S., Ulbricht, E., Taubenberger, A. V., & Guck, J. (2019). Nanite: +Using machine learning to assess the quality of atomic force +microscopy-enabled nano-indentation data. BMC Bioinformatics, 20(1), +465. https://doi.org/10.1186/s12859-019-3010-3 + + + + + + From 9a909a9ae54abe81ecd2693ae14354e04dd75c02 Mon Sep 17 00:00:00 2001 From: The Open Journals editorial robot <89919391+editorialbot@users.noreply.github.com> Date: Sun, 15 Oct 2023 07:29:10 +0100 Subject: [PATCH 3/6] Creating 10.21105.joss.04877.jats --- joss.04877/10.21105.joss.04877.jats | 479 ++++++++++++++++++++++++++++ 1 file changed, 479 insertions(+) create mode 100644 joss.04877/10.21105.joss.04877.jats diff --git a/joss.04877/10.21105.joss.04877.jats b/joss.04877/10.21105.joss.04877.jats new file mode 100644 index 0000000000..a033a88d26 --- /dev/null +++ b/joss.04877/10.21105.joss.04877.jats @@ -0,0 +1,479 @@ + + +

+ + + + +Journal of Open Source Software +JOSS + +2475-9066 + +Open Journals + + + +4877 +10.21105/joss.04877 + +OT_Analysis: a software for rich analysis of force curves +when probing living cells with optical tweezers + + + + +Galliano +Thierry + + + + +https://orcid.org/0000-0002-5444-5246 + +Gay +Guillaume + + + + +https://orcid.org/0000-0001-9523-8086 + +Limozin +Laurent + + + + +https://orcid.org/0000-0002-8521-0685 + +Puech +Pierre-Henri + + +* + + + +Inserm UMR 1067, CNRS UMR 7333, AMU UM61, The Turing Centre +for Living Systems (CENTURI) ; Lab. Adhésion et Inflammation ; Marseille +- France + + + + +France Bio Imaging ; Montpellier - France + + + + +* E-mail: + + +30 +6 +2022 + +8 +90 +4877 + +Authors of papers retain copyright and release the +work under a Creative Commons Attribution 4.0 International License (CC +BY 4.0) +2022 +The article authors + +Authors of papers retain copyright and release the work under +a Creative Commons Attribution 4.0 International License (CC BY +4.0) + + + +Python +optical tweezers +cell biology +mechanobiology + + + + + + Summary +

Optical tweezers are a light-based technique for micromanipulating + objects. It allows to move objects such as microbeads and cells, and + to record minute forces down to a few pN, which makes it a technique + very well adapted to mechanical measurements on living cells + (Gennerich, + 2017). We are interested in the mechanotransduction properties + of lymphocytes. We seek to dissect the effect of forces and cell + mechanics on the cellular response, in the context of the immune + system. T cell mechanotransduction has been recently demonstrated to + be instrumental in the finesse and accuracy of the response of the + latter Puech & Bongrand + (2021)]. + In addition, cells can exert forces when performing their action, + e.g. cytotoxic T cells are using forces to kill target infected cells + (Basu + et al., 2016).

+

Using optical tweezers and specifically decorated beads as handles, + we pull membrane nano-tubes from gently adhered living lymphocytes + (Sadoun + et al., 2020). Such nanotubes are usually used to probe the + tension of adherent cells + (Diz-Muñoz + et al., 2010). By varying the antibodies that are used to + decorate the beads, we select the molecule type we specifically pull + on, and we then explore the molecules which are characteristic of the + immune synapse, which is one of the key organizational structures that + have profound implications in T cell recognition and action + (Baldari + & Dustin, 2017).

+

Using this approach, we probe not only the forces of recognition of + the given antibody to its target molecule, but also, by using strong + extracellular bridges, we probe the cytosolic link of the probed + molecule to the cytoskeleton. Such a link has been proposed to be + instrumental in the way T cells can apply or feel forces through the + molecule. A theoretical model has been built and has been recently + reported in a dedicated article + (Manca + et al., 2023). Furthermore, we will demonstrate the application + of the software on full data.

+ +

Schematics of the experiment. A : Sequence of events (a) + antibody decorated bead, trapped by the focused infrared laser beam, + and lymphocyte are far from each other, and approached ; (b) contact + is formed under a controlled level of force and maintained for a + given time ; (c) the cell is displaced away from the bead, + eventually resulting in the pulling of a tube (d) and its rupture + (e), back to the situation of (a). B : Resulting Force vs.Time curve + with the indicated events. Adapted from + (Manca + et al., 2023)

+ +
+

The experimentally obtained data consists of force signal as a + function of time (among other parameters), in the three directions of + space, obtained in large quantities (at least 10 per cell / bead + couple, and up to 20 couples tested per sample), containing rich and + detailed features that can relate to molecular and/or cellular + mechanics that our model explores. It is therefore needed to + standardize and semi-automate data analysis to help the + experimentalist, often a biologist, to extract relevant features from + the experimental data sets.

+
+ + Statement of need +

The available software that comes with the optical tweezers setup + includes a data processing system, with a GUI, that allows the user to + follow pre-defined data processing schemes. Even if it already allows + the typical user to observe, manipulate, quantify and convert to plain + text and images the data, it is closed source and, as such, cannot + receive implementations of novel functions, depending on the + experimentalist needs.

+

In particular, regarding the above described application, the user + would have to interact a lot via mouse clicks and find an alternative + use of preexisting data processing functions to perform the (time) + expensive analysis required. This may introduce bias in the data, + which may impair user-to-user data comparison.

+

In addition, almost none, if any, open-source software has been + proposed to the community e.g. via GitHub or GitLab for quantifying + optical tweezers experiments with living cells, while some have been + proposed for Atomic Force Microscopy force mode + (Müller + et al., 2019), with a modular capability. Among them, one can + find, with the keywords "optical tweezers", on GitHub :

+ + +

https://github.com/ilent2/ott : an Optical Tweezers Toolbox for + calculating the torques and forces on a bead in a simulated + situation

+
+ +

https://github.com/ilent2/tweezers-ml : an Interactive Optical + Tweezers simulation using Machine Learning

+
+ +

https://github.com/ghallsimpsons/optical_tweezers : set of + macros for calibration

+
+ +

https://github.com/softmatterlab/OpticalTweezersTutorial : a + tutorial

+
+
+ +

Snapshots of OT-Analysis software. A : Starting window + where data can be selected and parameters for the analysis set. B : + Setting the choice of analysis, from fully automated to + user-supervised. C : The main window of supervision showing the raw + data in the three directions of space, and the results of the + pre-analysis, allowing the user to amend the analysis if + needed.

+ +
+

Of note, OT setups usually allow to quantify the forces in the + three directions of space. Thus lateral forces resulting from small + geometric misalignments between a given bead and the cell can be + probed. As a consequence, our software has been designed to allow the + direct comparison between these three directions to select curves + where the force is detected mainly in one single direction + corresponding to the one selected during the experiment. FUrthermore, + we introduced refined baseline corrections for forces that may be + caused, for T cells, by the deformation of the trap close to contact. + We quantify the cell mechanics, when pushing the bead on the cell, and + also cell adhesion or tube pulling when separating them. Due to the + large number of curves that are typically produced, we implemented + data processing by subsets, to be able to use regular or old computers + to be able to distribute it to our students.

+

We based our software on command line processing functions that we + developed in the lab, and implemented a user-friendly, modular, Qt + based GUI which is more than needed when a non-code-savy scientist + wants to process complex biological data.

+

Our resulting software, as such, can serve as a basis for adding + new features in the field of force measurements by optical + tweezers.

+
+ + Example usage +

The prototypical experiments consist in using optical tweezers to + contact a cell with a trapped bead decorated with protein, in order to + obtain some membrane tube pulling events upon separation. The first + use of the present software is to ensure that such a pulling is + specific to the protein decoration used. In this case, two sets of + data curves (force vs. time) are obtained using an adhesive protein + and a control protein (in our case an antibody specific for a surface + protein of the cell and a second antibody, isotype to the first one, + but not recognizing any surface protein a priori).

+

The software allows, after an automated pre-processing step, a + inspection of the data by the user in order to amend the type + selection and potentially refine, on a case per case basis, the data + processing. The user can adjust several detection thresholds, e.g. for + determining the duration and force amplitude that characterize + adhesion events and potential tubes, and for tuning the detection and + correction for optical artifacts.

+

The outcome will provide graphical representations to:

+ + +

evaluate the fraction of the positive events (adhesion + tubes) + in the population of forces curves

+ + +

while rejecting the curves that are used for aligning the + two substrates

+
+ +

while excluding the curves where optical artifacts can be + detected

+
+ +

while removing from the analysis the curves that are “bad” + (e.g. when the bead is lost or when a second bead enters the + trap)

+
+
+
+ +

measure the duration and force magnitude of the positive + events

+
+ +

measure the amount of tubes in the overall population.

+
+
+

The output file can then be reloaded using ad-hoc procedures + (e.g. in Python) to merge or sort the data, plot, perform statistical + analysis on relevant biophysical parameters described in + https://github.com/phpuech/OT_Analysis.

+

The results of the analysis can then be used to feedback on the + experimental parameters (contact force, contact duration, molecular + densities on the beads, bead size) and / or compare different + molecules in order to examine a biological effect (for this last + point, see + (Manca + et al., 2023)).

+
+ + Functionality documentation +

We provide in the following figure the schematics of the structure + of the code, with the main files.

+ +

Schematics of the MVC conception of + OT_Analysis.

+ +
+

For a description of the functions and their arguments, please + refer to the online documentation provided in the link below :

+

https://otanalysis.readthedocs.io/en/latest/otanalysis.html?highlight=otanalysis

+
+ + Acknowledgements +

We acknowledge data contributions from O. N’Dao, G. Eich, L. + Normand. We also acknowledge the work on a previous Tk based version + of the GUI from K. Himmet. We acknowledge the funding of Labex INFORM + (ANR-11-LABX-0054 and AMIDEX project (ANR-11-IDEX-0001-02), funded by + the "Investissements d’Avenir" French Government program + managed by the French National Research Agency (ANR)) that allowed LAI + to obtain the optical tweezers set-up, and the continuous help from + JPK instruments/Bruker with it.

+
+ + + + + + The Immune Synapse: Methods and Protocols + + BaldariCosima T. + DustinMichael L. + + Humana Press + 2017 + 20180523 + 978-1-4939-6879-4 + //www.springer.com/fr/book/9781493968794 + + + + + + BasuRoshni + WhitlockBenjamin M + HussonJulien + LiebermanJudy + KamLance C + HuseMorgan + + Cytotoxic T Cells Use Mechanical Force to Potentiate Target Cell Killing + Cell + 2016 + 165 + 1 + http://dx.doi.org/10.1016/j.cell.2016.01.021 + 10.1016/j.cell.2016.01.021 + 100 + 110 + + + + + Optical tweezers: Methods and protocols + + GennerichArne + + Humana Press + New York + 2017 + 978-1-4939-6421-5 + + + + + + Diz-MuñozAlba + KriegMichael + BergertMartin + Ibarlucea-BenitezItziar + MullerDaniel J. + PaluchEwa + HeisenbergCarl-Philipp + + Control of Directed Cell Migration In Vivo by Membrane-to-Cortex Attachment + PLoS Biology + + HarrisWilliam A. + + 201011 + 20190830 + 8 + 11 + 1545-7885 + https://dx.plos.org/10.1371/journal.pbio.1000544 + 10.1371/journal.pbio.1000544 + e1000544 + + + + + + + SadounAnaïs + MustaphaFarah + NdaoOmar + EichGautier + HamonYannick + LimozinLaurent + PuechPierre Henri + + Dissecting T-cell mechanosensing at molecular and cellular scales + Wiley Analytical Science + 2020 + 20201124 + https://analyticalscience.wiley.com/do/10.1002/was.00010013 + + + + + + PuechPierre-Henri + BongrandPierre + + Mechanotransduction as a major driver of cell behaviour: Mechanisms, and relevance to cell organization and future research + Open Biology + 202111 + 11 + 11 + 2046-2441 + 10.1098/rsob.210256 + 34753321 + 210256 + + + + + + + MancaFabio + EichGautier + N’DaoOmar + NormandLucie + SenguptaKheya + LimozinLaurent + PuechPierre-Henri + + Probing mechanical interaction of immune receptors and cytoskeleton by membrane nanotube extraction + Scientific Reports + 2023 + 13 + 10.1038/s41598-023-42599-9 + 15652 + + + + + + + MüllerPaul + AbuhattumShada + MöllmertStephanie + UlbrichtElke + TaubenbergerAnna V. + GuckJochen + + Nanite: Using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data + BMC Bioinformatics + 201909 + 20220520 + 20 + 1 + 1471-2105 + https://doi.org/10.1186/s12859-019-3010-3 + 10.1186/s12859-019-3010-3 + 465 + + + + + +
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