Abhijeet Krishna

Max Planck Institute of Molecular Cell Biology and Genetics

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Carl D. Modes

Max Planck Institute of Molecular Cell Biology and Genetics

Natalie A. Dye

TU Dresden

Romina Piscitello-Gómez

Max Planck Institute of Molecular Cell Biology and Genetics

Charlie Duclut

Sorbonne Université

Marko Popović

Max Planck Institute for the Physics of Complex Systems

Suzanne Eaton

Max Planck Institute of Molecular Cell Biology and Genetics

Frank Jülicher

Max Planck Institute for the Physics of Complex Systems

Jana F. Fuhrmann

Max Planck Institute of Molecular Cell Biology and Genetics

Bruno C. Vellutini

University of Bergen

Marina B. Cuenca

Max Planck Institute of Molecular Cell Biology and Genetics

Cooperative Institutions

Max Planck Institute of Molecular Cell Biology and Genetics

TU Dresden

Center for Systems Biology Dresden

Max Planck Society

University of Cambridge

Center for Systems Biology

Max Planck Institute for the Physics of Complex Systems

Max Planck Institute for Physics

Université Paris Cité

Max Planck Institut für Zellbiologie

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iGEM: a model system for team science and innovation

arXiv (Cornell University) (2023)

Marc Santolini Leo Blondel Megan J. Palmer Robert N. Ward Rathin Jeyaram

Teams are a primary source of innovation in science and technology. Rather than examining the lone genius, scholarly and policy attention has shifted to understanding how team interactions produce new and useful ideas. Yet the organizational roots of innovation remain unclear, in part because of the limitations of current data. This paper introduces the international Genetically Engineered Machine (iGEM) competition, a model system for studying team science and innovation. By combining digital laboratory notebooks with performance data from 2,406 teams over multiple years of participation, we reveal shared dynamical and organizational patterns across teams and identify features associated with team performance and success. This dataset makes visible organizational behavior that is typically hidden, and thus understudied, creating new opportunities for the science of science and innovation.

Genius

10.48550/arxiv.2310.19858

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Citations (1)

Repository for: Patterned embryonic invagination evolved in response to mechanical instability

Zenodo (CERN European Organization for Nuclear Research) (2023)

Bruno C. Vellutini Marina B. Cuenca Abhijeet Krishna Alicja Szałapak Carl D. Modes

This repository contains the data, scripts, and analyses for the manuscript: Vellutini BC, Cuenca MB, Krishna A, Szałapak A, Modes CD, Tomančák P. Patterned embryonic invagination evolved in response to mechanical instability. bioRxiv (2023) doi:10.1101/2023.03.30.534554 The repository is maintained at https://github.com/bruvellu/cephalic-furrow.

10.5281/zenodo.7781947

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Citations (1)

Author response: Core PCP mutations affect short-time mechanical properties but not tissue morphogenesis in the Drosophila pupal wing

Romina Piscitello-Gómez Franz S Gruber Abhijeet Krishna Charlie Duclut Carl D. Modes

10.7554/elife.85581.sa2

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Shape programming lines of concentrated Gaussian curvature

Journal of Applied Physics (2021)

Daniel Duffy Luka Cmok John S. Biggins Abhijeet Krishna Carl D. Modes

Liquid crystal elastomers (LCEs) can undergo large reversible contractions along their nematic director upon heating or illumination. A spatially patterned director within a flat LCE sheet, thus, encodes a pattern of contraction on heating, which can morph the sheet into a curved shell, akin to how a pattern of growth sculpts a developing organism. Here, we consider theoretically, numerically, and experimentally patterns constructed from regions of radial and circular director, which, in isolation, would form cones and anticones. The resultant surfaces contain curved ridges with sharp V-shaped cross sections, associated with the boundaries between regions in the patterns. Such ridges may be created in positively and negatively curved variants and, since they bear Gauss curvature (quantified here via the Gauss–Bonnet theorem), they cannot be flattened without energetically prohibitive stretch. Our experiments and numerics highlight that, although such ridges cannot be flattened isometrically, they can deform isometrically by trading the (singular) curvature of the V angle against the (finite) curvature of the ridge line. Furthermore, in finite thickness sheets, the sharp ridges are inevitably non-isometrically blunted to relieve bend, resulting in a modest smearing out of the encoded singular Gauss curvature. We close by discussing the use of such features as actuating linear features, such as probes, tongues, and grippers. We speculate on similarities between these patterns of shape change and those found during the morphogenesis of several biological systems.

Gaussian curvature

10.1063/5.0044158

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Citations (4)

Suzanne Eaton (1959–2019)

Developmental Cell (2019)

Natalie A. Dye Ali Mahmoud K. Venkatesan Iyer Ivona Mateska Suhrid Ghosh

Passion

Curiosity

Melody

10.1016/j.devcel.2019.09.001

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iGEM: a model system for team science and innovation

Zenodo (CERN European Organization for Nuclear Research) (2023)

Leo Blondel Rathin Jeyaram Abhijeet Krishna Marc Santolini

This dataset is extracted from the international Genetically Engineered Machine (iGEM) competition, a model system for studying team science and innovation. It is described at length in this article. The dataset encompass detailed records from the iGEM competition, capturing various aspects of team participation and achievements. Specifically, the Team Information dataset (teams_table.csv) provides insights into team characteristics and achievements, including medal status and region of origin. User Information (users_table.csv) offers a look into individual participants, detailing their roles in the team. Awards Information (awards_table.csv) and Medal Criteria (medals_criteria.csv) lay out the awards teams have garnered and the standards for medal attainment. The BioBricks Information (biobricks_table.csv) corresponds to the BioBrick sequences associated with each team, while Wiki Edits (wikis_table.csv) tracks the changes made by users on their team's (wiki) lab notebook. Finally, the Collaboration Network (collaboration_network.csv) corresponds to the weighted directed inter-team collaboration network collected using team mentions across team wikis.

10.5281/zenodo.10047682

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Core PCP mutations affect short time mechanical properties but not tissue morphogenesis in theDrosophilapupal wing

bioRxiv (Cold Spring Harbor Laboratory) (2022)

Romina Piscitello-Gómez Franz S Gruber Abhijeet Krishna Charlie Duclut Carl D. Modes

Abstract How morphogenetic movements are robustly coordinated in space and time is a fundamental open question in biology. We study this question using the wing of Drosophila melanogaster , an epithelial tissue that undergoes large-scale tissue flows during pupal stages. We showed previously (Etournay et al., 2015) that pupal wing morphogenesis involves both cellular behaviors that allow relaxation of mechanical tissue stress, as well as cellular behaviors that appear to be actively patterned. The core planar cell polarity (PCP) pathway influences morphogenetic cell movements in many other contexts, which suggests that it could globally pattern active cellular behaviors during pupal wing morphogenesis. We show here, however, that this is not the case: there is no significant phenotype on the cellular dynamics underlying pupal morphogenesis in mutants of core PCP. Furthermore, using laser ablation experiments, coupled with a rheological model to describe the dynamics of the response to laser ablation, we conclude that while core PCP mutations affect the fast timescale response to laser ablation, they do not affect overall tissue mechanics. In conclusion, our work shows that cellular dynamics and tissue shape changes during Drosophila pupal wing morphogenesis are independent of one potential chemical guiding cue, core PCP.

10.1101/2022.12.09.519799

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Citations (3)

iGEM: a model system for team science and innovation

Zenodo (CERN European Organization for Nuclear Research) (2023)

Leo Blondel Rathin Jeyaram Abhijeet Krishna Marc Santolini

10.5281/zenodo.10047683

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Citations (0)

Collective cell migration during optic cup formation features changing cell-matrix interactions linked to matrix topology

Current Biology (2022)

Karen G. Soans Ana Patricia Ramos Jaydeep Sidhaye Abhijeet Krishna Anastasia I. Solomatina

Lamellipodium

Matrix (chemical analysis)

10.1016/j.cub.2022.09.034

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Citations (20)

Core PCP mutations affect short-time mechanical properties but not tissue morphogenesis in the Drosophila pupal wing

eLife (2023)

Romina Piscitello-Gómez Franz S Gruber Abhijeet Krishna Charlie Duclut Carl D. Modes

How morphogenetic movements are robustly coordinated in space and time is a fundamental open question in biology. We study this question using the wing of Drosophila melanogaster , an epithelial tissue that undergoes large-scale tissue flows during pupal stages. Previously, we showed that pupal wing morphogenesis involves both cellular behaviors that allow relaxation of mechanical tissue stress, as well as cellular behaviors that appear to be actively patterned (Etournay et al., 2015). Here, we show that these active cellular behaviors are not guided by the core planar cell polarity (PCP) pathway, a conserved signaling system that guides tissue development in many other contexts. We find no significant phenotype on the cellular dynamics underlying pupal morphogenesis in mutants of core PCP. Furthermore, using laser ablation experiments, coupled with a rheological model to describe the dynamics of the response to laser ablation, we conclude that while core PCP mutations affect the fast timescale response to laser ablation they do not significantly affect overall tissue mechanics. In conclusion, our work shows that cellular dynamics and tissue shape changes during Drosophila pupal wing morphogenesis do not require core PCP as an orientational guiding cue.

Developmental Biology

10.7554/elife.85581

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Citations (1)