Jean Ollion

Sorbonne Université | UPMC · Laboratoire Jean Perrin - FRE 3231

Mutation rates and effects in single cells Understanding the dynamics of mutations and the distribution of fitness effects is critical for most evolutionary models. Robert et al. used a single-cell technology to visualize the accumulation of new mutations. The method identifies DNA sequences with mispaired bases and small insertions or deletions ca...

The cell nucleus is a highly organized structure, playing an important role in gene regulation. Understanding the mechanisms that sustain this organization is therefore essential for understanding genome function. Centromeric regions (CR) of chromosomes have been known for years to adopt specific nuclear positioning patterns, but the significance o...

Motivation: The cell nucleus is a highly organized cellular organelle that contains the genetic material. The study of nuclear architecture has become an important field of cellular biology. Extracting quantitative data from 3D fluorescence imaging helps understand the functions of different nuclear compartments. However, such approaches are limite...

Extracting long tracks and lineages from videomicroscopy requires an extremely low error rate, which is challenging on complex data sets of dense or deforming cells. Leveraging temporal context is key to overcoming this challenge. We propose DiSTNet2D, a new deep neural network architecture for two-dimensional (2D) cell segmentation and tracking th...

The efficiency of replication error repair is a critical factor governing the emergence of mutations. However, it has so far been impossible to study this efficiency at the level of individual cells and to investigate if it varies within isogenic cell populations. In addition, why some errors escape repair remains unknown. Here we apply a combinati...

Here we present a method to reduce the photobleaching of fluorescent proteins and the associated phototoxicity. It exploits a photophysical process known as reverse intersystem crossing, which we induce by near-infrared co-illumination during fluorophore excitation. This dual illumination method reduces photobleaching effects 1.5–9.2-fold, can be e...

We propose a novel self-supervised image blind denoising approach in which two neural networks jointly predict the clean signal and infer the noise distribution. Assuming that the noisy observations are independent conditionally to the signal, the networks can be jointly trained without clean training data. Therefore, our approach is particularly r...

The mother machine is a popular microfluidic device that allows long-term time-lapse imaging of thousands of cells in parallel by microscopy. It has become a valuable tool for single-cell level quantitative analysis and characterization of many cellular processes such as gene expression and regulation, mutagenesis or response to antibiotics. The au...

The mother machine is a popular microfluidic device that allows long-term time-lapse imaging of thousands of cells in parallel by microscopy. It has become a valuable tool for single-cell level quantitative analysis and characterization of many cellular processes such as gene expression and regulation, mutagenesis or response to antibiotics. The au...

Mutations are the driving force of evolution and the source of important pathologies. The characterization of the dynamics and effects of mutations on fitness is therefore central to our understanding of evolution and to human health. This protocol describes how to implement two methods that we recently developed: mutation visualization (MV) and mi...

The analysis of bacteria at the single-cell level is essential to characterization of processes in which cellular heterogeneity plays an important role. BACMMAN (bacteria mother machine analysis) is a software allowing fast and reliable automated image analysis of high-throughput 2D or 3D time-series images from experiments using the 'mother machin...

The cell nucleus is a highly organized cellular organelle that contains the genome. An important step to understand the relationships between genome positioning and genome functions is to extract quantitative data from three-dimensional (3D) fluorescence imaging. However, such approaches are limited by the requirement for processing and analyzing l...

The cell nucleus is a highly organized structure, playing an important role in gene regulation. Understanding the underlying mechanisms is therefore essential for understanding genome function. Numerous studies conducted in mouse cells have shown that centromeric regions (RC) of chromosomes play a role in nuclear organization. The spatial organizat...

The cell nucleus is a highly organized structure, playing an important role in gene regulation. Understanding the underlying mechanisms is therefore essential for understanding genome function. Numerous studies conducted in mouse cells have shown that centromeric regions (RC) of chromosomes play a role in nuclear organization. The spatial organizat...

The study of nuclear architecture has become a very important field of cellular biology. When studied with an imaging approach, a limiting step is the automatic processing and quantification of the images. Here we present TANGO (Tools for Analysis of Nuclear Genome Organization), an ImageJ plug-in for high-throughput quantitative analysis of 3D flu...