Publication

Bottleneck genes and community structure in the cell cycle network of S-pombe

Publications associées (31)

Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction

Max Stieber, Martin Weigert, Benjamin Tobias Gallusser

State-of-the-art object detection and segmentation methods for microscopy images rely on supervised machine learning, which requires laborious manual annotation of training data. Here we present a self-supervised method based on time arrow prediction pre-t ...

Springer International Publishing Ag2023

Low temperature and mTOR inhibition favor stem cell maintenance in human keratinocyte cultures

Fahd Azzabi Zouraq, Kai Johnsson, Yann Barrandon, Ariane Rochat, Thomas Michael Braschler, Johannes Alexander Mosig, Jean-Baptiste Bureau, Mako Kamiya

Adult autologous human epidermal stem cells can be extensively expanded ex vivo for cell and gene therapy. Identifying the mechanisms involved in stem cell maintenance and defining culture conditions to maintain stemness is critical, because an inadequate ...

WILEY2023

Aging Fly Cell Atlas identifies exhaustive aging features at cellular resolution

Maria Brbic, Sandy Lee

Aging is characterized by a decline in tissue function, but the underlying changes at cellular resolution across the organism remain unclear. Here, we present the Aging Fly Cell Atlas, a single-nucleus transcriptomic map of the whole aging Drosophila. We c ...

American Association for the Advancement of Science2023

Engineered substrates incapable of induction of chondrogenic differentiation compared to the chondrocyte imprinted substrates

Philippe Renaud, Shahin Bonakdar, Leila Montazeri, Zahrasadat Ghazali

It is well established that surface topography can affect cell functions. However, finding a reproducible and reliable method for regulating stem cell behavior is still under investigation. It has been shown that cell imprinted substrates contain micro- an ...

IOP Publishing Ltd2023

Environment-dependent epistasis increases phenotypic diversity in gene regulatory networks

Florence Gauye, Florian Baier

Mutations to gene regulatory networks can be maladaptive or a source of evolutionary novelty. Epistasis con-founds our understanding of how mutations affect the expression patterns of gene regulatory networks, a chal-lenge exacerbated by the dependence of ...

AMER ASSOC ADVANCEMENT SCIENCE2023

Identifying genetic and dietary modulators of metabolic disorders using systems genetics

Xiaoxu Li

Long-term consumption of lipid-rich foods can contribute to common metabolic diseases and systemic low-grade inflammation. However, dietary responses and the development of non-communicable diseases are shaped by genetic factors and gene-by-environment int ...

EPFL2023

CENP-A and CENP-B collaborate to create an open centromeric chromatin state

Beat Fierz, Harsh Nagpal, Wei Cai

Centromeres are epigenetically defined via the presence of the histone H3 variant CENP-A. Contacting CENP-A nucleosomes, the constitutive centromere associated network (CCAN) and the kinetochore assemble, connecting the centromere to spindle microtubules d ...

Nature Portfolio2023

Exploring the mechanisms governing nuclear cGAS localization and activity

Marilena Wischnewski

Recognition of pathogen-derived molecules through germline-encoded receptors is a fundamental principle of innate immunity. Pattern recognition receptors detect specific intracellular danger signals to trigger potent immune responses. The DNA sensor cyclic ...

EPFL2022

Metabolic regulation of cytokinesis in Schizosaccharomyces pombe

Özge Uysal Özdemir

All cells need to be able to sense their environment, and adapt their metabolism, growth and cell division appropriately. In this study, I examined the response of Schizosaccharomyces pombe to a change in the carbon source and how that affects cytokinesis. ...

EPFL2022

Primary data for EPFL thesis "Metabolic regulation of cytokinesis in Schizosaccharomyces pombe"

Özge Uysal Özdemir

EPFL Infoscience2022

Live-seq enables temporal transcriptomic recording of single cells

Bart Deplancke, Pernille Yde Rainer, Riccardo Dainese, Wanze Chen, Magda Zachara, Vincent Roland Julien Gardeux, Wouter Saelens, Orane Josiane Guillaume-Gentil

Single-cell transcriptomics (scRNA-seq) has greatly advanced our ability to characterize cellular heterogeneity(1). However, scRNA-seq requires lysing cells, which impedes further molecular or functional analyses on the same cells. Here, we established Liv ...

NATURE PORTFOLIO2022