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101 Publications visible to you, out of a total of 101
Natural variability in bee brain size and symmetry revealed by micro-CT imaging and deep learning

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Abstract Analysing large numbers of brain samples can reveal minor, but statistically and biologically relevant variations in brain morphology that provide critical insights into animal behaviour, …into animal behaviour, ecology and evolution. So far, however, such analyses have required extensive manual effort, which considerably limits the scope for comparative research. Here we used micro-CT imaging and deep learning to perform automated analyses of 3D image data from 187 honey bee and bumblebee brains. We revealed strong inter-individual variations in total brain size that are consistent across colonies and species, and may underpin behavioural variability central to complex social organisations. In addition, the bumblebee dataset showed a significant level of lateralization in optic and antennal lobes, providing a potential explanation for reported variations in visual and olfactory learning. Our fast, robust and user-friendly approach holds considerable promises for carrying out large-scale quantitative neuroanatomical comparisons across a wider range of animals. Ultimately, this will help address fundamental unresolved questions related to the evolution of animal brains and cognition. Author Summary Bees, despite their small brains, possess a rich behavioural repertoire and show significant variations among individuals. In social bees this variability is key to the division of labour that maintains their complex social organizations, and has been linked to the maturation of specific brain areas as a result of development and foraging experience. This makes bees an ideal model for understanding insect cognitive functions and the neural mechanisms that underlie them. However, due to the scarcity of comparative data, the relationship between brain neuro-architecture and behavioural variance remains unclear. To address this problem, we developed an AI-based approach for automated analysis of brain images and analysed an unprecedentedly large dataset of honey bee and bumblebee brains. Through this process, we were able to identify previously undescribed anatomical features that correlate with known behaviours, supporting recent evidence of lateralized behaviour in foraging and pollination. Our method is open-source, easily accessible online, user-friendly, fast, accurate, and robust to different species, enabling large-scale comparative analyses across the animal kingdom. This includes investigating the impact of external stressors such as environmental pollution and climate change on cognitive development, helping us understand the mechanisms underlying the cognitive abilities of animals and the implications for their survival and adaptation.

Authors: Philipp D. Lösel, Coline Monchanin, Renaud Lebrun, Alejandra Jayme, Jacob Relle, Jean-Marc Devaud, Vincent Heuveline, Mathieu Lihoreau

Date Published: 17th Oct 2022

Publication Type: Journal

Is HLA type a possible cancer risk modifier in Lynch syndrome?

Abstract

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Authors: Aysel Ahadova, Johannes Witt, Saskia Haupt, Richard Gallon, Robert Hüneburg, Jacob Nattermann, Sanne ten Broeke, Lena Bohaumilitzky, Alejandro Hernandez‐Sanchez, Mauro Santibanez‐Koref, Michael S. Jackson, Maarit Ahtiainen, Kirsi Pylvänäinen, Katarina Andini, Vince Kornel Grolmusz, Gabriela Möslein, Mev Dominguez‐Valentin, Pål Møller, Daniel Fürst, Rolf Sijmons, Gillian M. Borthwick, John Burn, Jukka‐Pekka Mecklin, Vincent Heuveline, Magnus von Knebel Doeberitz, Toni Seppälä, Matthias Kloor

Date Published: 14th Oct 2022

Publication Type: Journal

Opportunities and challenges in machine learning‐based newborn screening—A systematic literature review

Abstract

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Authors: Elaine Zaunseder, Saskia Haupt, Ulrike Mütze, Sven F. Garbade, Stefan Kölker, Vincent Heuveline

Date Published: 1st May 2022

Publication Type: Journal

Primary and Recurrent Repair of Incisional Hernia Based on Biomechanical Considerations to Avoid Mesh-Related Complications

Abstract

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Authors: Regine Nessel, Thorsten Löffler, Johannes Rinn, Philipp Lösel, Samuel Voss, Vincent Heuveline, Matthias Vollmer, Johannes Görich, Yannique-Maximilian Ludwig, Luai Al-Hileh, Friedrich Kallinowski

Date Published: 15th Dec 2021

Publication Type: Journal

Biomechanical Influences on Mesh-Related Complications in Incisional Hernia Repair

Abstract

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Authors: Friedrich Kallinowski, Yannique Ludwig, Dominik Gutjahr, Christian Gerhard, Hannah Schulte-Hörmann, Lena Krimmel, Carolin Lesch, Katharina Uhr, Philipp Lösel, Samuel Voß, Vincent Heuveline, Matthias Vollmer, Johannes Görich, Regine Nessel

Date Published: 29th Oct 2021

Publication Type: Journal

A computational model for investigating the evolution of colonic crypts during Lynch syndrome carcinogenesis

Abstract (Expand)

Abstract Lynch syndrome (LS), the most common inherited colorectal cancer (CRC) syndrome, increases the cancer risk in affected individuals. LS is caused by pathogenic germline variants in one of the … DNA mismatch repair (MMR) genes, complete inactivation of which causes numerous mutations in affected cells. As CRC is believed to originate in colonic crypts, understanding the intra-crypt dynamics caused by mutational processes is essential for a complete picture of LS CRC and may have significant implications for cancer prevention. We propose a computational model describing the evolution of colonic crypts during LS carcinogenesis. Extending existing modeling approaches for the non-Lynch scenario, we incorporated MMR deficiency and implemented recent experimental data demonstrating that somatic CTNNB1 mutations are common drivers of LS-associated CRCs, if affecting both alleles of the gene. Further, we simulated the effect of different mutations on the entire crypt, distinguishing non-transforming and transforming mutations. As an example, we analyzed the spread of mutations in the genes APC and CTNNB1, which are frequently mutated in LS tumors, as well as of MMR deficiency itself. We quantified each mutation's potential for monoclonal conversion and investigated the influence of the cell location and of stem cell dynamics on mutation spread. The in silico experiments underline the importance of stem cell dynamics for the overall crypt evolution. Further, simulating different mutational processes is essential in LS since mutations without survival advantages (the MMR deficiency-inducing second hit) play a key role. The effect of other mutations can be simulated with the proposed model. Our results provide first mathematical clues towards more effective surveillance protocols for LS carriers.

Authors: Saskia Haupt, Nils Gleim, Aysel Ahadova, Hendrik Bläker, Magnus von Knebel Doeberitz, Matthias Kloor, Vincent Heuveline

Date Published: 4th Jul 2021

Publication Type: Journal

Spatial Effect on Separatrix of Two-Cell System and Parameter Sensitivity Analysis

Abstract

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Authors: Chen Song, Jonas Roller, Ana Victoria Ponce-Bobadilla, Nicolas Palacio-Escat, Julio Saez-Rodriguez, Vincent Heuveline

Date Published: 11th May 2021

Publication Type: Unpublished

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