Tunneling nanotube-like (TNT) connections allow mitochondrial exchange between tumor cells and its tumor microenvironment. Here, the authors show that TNT connections mediate bidirectional mitochondri...

Summary: EpiCure is a napari plugin designed to optimise epithelia segmentation and tracking curation through automatic errors detection and ergonomic correction while being easily interoperable with ...

This paper presents sPYce, a method that integrates single-nucleus ATAC-seq data across species, allowing for comparison of gene regulatory evolution across species.

Using Spatial OMICs to uncover cell identity during developmental processes 13-18 September 2026 Aussois, France

Single-cell high-throughput sequencing, a major breakthrough in life sciences, allows to access the integrated molecular profiles of thousands of cells in a single experiment. This abundance of data p...

A comparative analysis of cnidarian larval morphogenesis combined with active surface theory identifies a set of mesoscale mechanical modules that predict species-specific shapes. Manipulating these m...

Gene expression patterns underlie development, but their systematic detection in whole embryos has remained elusive. We introduce a whole-embryo imaging platform using multiplexed error-robust fluores...

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler

The Institut Pasteur is launching an international call to recruit new junior research group leaders leveraging cutting-edge transdisciplinary approaches to exploring infectious diseases, host-microbe...

Institut Pasteur and the CNRS are launching a call for a mid-career group leader position in AI in genomics. We are looking for an experienced researcher (typically with > 8 years of research experien...

INCEPTION symposium 2025 - Focus on GWAS: paving the way for the future of genetics.

By learning a differentiation potential using an optimal transport-based approach, STORIES models and infers cell fate trajectories using spatiotemporal omics data.

By learning a differentiation potential using an optimal transport-based approach, STORIES models and infers cell fate trajectories using spatiotemporal omics data.

AbstractSummary. Gene regulatory networks modelled from experimental data can be improved through the use of prior biological knowledge, e.g. transcription

Job title: Group Leader (282908), Employer: University of Oslo, Deadline: Monday, September 8, 2025

Nature Reviews Nephrology, Published online: 19 June 2025; doi:10.1038/s41581-025-00968-9The transition from data scientist to patient–scientist has given me new perspectives into clinical research and strengthened my commitment to open science. Although limitations on data availability have led to frustration, collaboration bodes well for a future in which patients will have access to more personalized information.

Single-cell omics methods promise to revolutionize our understanding of gene regulatory processes during cell differentiation, but analysis of such data continues to pose a major challenge. Apart from...