Publication

A chemostat array enables the spatio-temporal analysis of the yeast proteome

Publications associées (31)

Deciphering the nature of cell state transitions in single cells using quantitative modeling of temporal dynamics

Cells are the smallest operational units of living systems. Through synthesis of various biomolecules and exchange of signals with the environment, cells tightly regulate their composition to realize a specific functional state. The transformation of a cel ...

EPFL2024

On Speed and Advantage : Results in Information Velocity and Monitoring Problems

Reka Inovan

Information theory has allowed us to determine the fundamental limit of various communication and algorithmic problems, e.g., the channel coding problem, the compression problem, and the hypothesis testing problem. In this work, we revisit the assumptions ...

EPFL2024

Single-mitosis dissection of acute and chronic DNA mutagenesis and repair

Christina Ernst

How chronic mutational processes and punctuated bursts of DNA damage drive evolution of the cancer genome is poorly understood. Here, we demonstrate a strategy to disentangle and quantify distinct mechanisms underlying genome evolution in single cells, dur ...

Nature Portfolio2024

Development of tools and methods for protein identification: From single molecules to in vivo applications

Salome Riccarda Püntener

As the fundamental machinery orchestrating cellular functions, proteins influence the state of every cell profoundly. As cells exhibit significant variations from one to another, analyzing the proteome on a single-cell level is imperative to unravel their ...

EPFL2024

Resolving bacterial cell biology: from replisome dynamics to cell wall synthesis

Chen Zhang

Bacteria are ubiquitous single cellular organisms. Compared to eukaryotic cells, bacteria have two unique characteristics: the membrane-less nucleoid and the cell wall built of peptidoglycan (PG). In most bacteria, a single circular chromosome is compacted ...

EPFL2024

Centromere structure and function: lessons from Drosophila

Eftychia Kyriacou

The fruit fly Drosophila melanogaster serves as a powerful model organism for advancing our understanding of biological processes, not just by studying its similarities with other organisms including ourselves but also by investigating its differences to u ...

Genetics Society America2023

Extensive programmed centriole elimination unveiled in C. elegans embryos

Pierre Gönczy, Nils Kalbfuss

Centrioles are critical for fundamental cellular processes, including signaling, motility, and division. The extent to which centrioles are present after cell cycle exit in a developing organism is not known. The stereotypical lineage of Caenorhabditis ele ...

2023

Primary data for EPFL thesis "Characterisation of conditional alleles of the Schizosaccharomyces pombe cytokinesis regulator byr4"

Michael Grüner Vindfeldt

Regulation of cytokinesis is essential for the cell during its division cycle. Failure to do so can lead to aneuploidy, which can be fatal and lead to senescence or cancer. A useful model organism for studying cytokinesis in eukaryotes is Schizosaccharomyc ...

EPFL Infoscience2023

Characterisation of conditional alleles of the Schizosaccharomyces pombe cytokinesis regulator byr4

Michael Grüner Vindfeldt

EPFL2023

Partial Information Sharing Over Social Learning Networks

Ali H. Sayed, Virginia Bordignon

This work addresses the problem of sharing partial information within social learning strategies. In social learning, agents solve a distributed multiple hypothesis testing problem by performing two operations at each instant: first, agents incorporate inf ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

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

Cortical cell assemblies and their underlying connectivity: an in silico study

Michael Reimann, András Ecker, Daniela Egas Santander, Sirio Bolaños Puchet, James Bryden Isbister

Recent developments in experimental techniques have enabled simultaneous recordings from thousands of neurons, enabling the study of functional cell assemblies. However, determining the patterns of synaptic connectivity giving rise to these assemblies rema ...

2024

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

Social Learning with Disparate Hypotheses

Ali H. Sayed, Stefan Vlaski, Virginia Bordignon, Konstantinos Ntemos

In this paper we study the problem of social learning under multiple true hypotheses and self-interested agents. In this setup, each agent receives data that might be generated from a different hypothesis (or state) than the data other agents receive. In c ...

IEEE2022

Regulation of sedimentation rate shapes the evolution of multicellularity in a close unicellular relative of animals

Omaya Pierre Dudin

Significant increases in sedimentation rate accompany the evolution of multicellularity. These increases should lead to rapid changes in ecological distribution, thereby affecting the costs and benefits of multicellularity and its likelihood to evolve. How ...

PUBLIC LIBRARY SCIENCE2022

Carbon nanotube uptake in cyanobacteria for near-infrared imaging and enhanced bioelectricity generation in living photovoltaics

Vitalijs Zubkovs, Ardemis Anoush Boghossian, Alessandra Antonucci, Charlotte Elisabeth Marie Roullier, Nils Schürgers, Benjamin Paul Johanès Gabriel Lambert, Alice Judith Gillen, Melania Reggente, Mohammed Mouhib

Single-walled carbon nanotubes (SWCNTs) have unique optoelectronic properties that make them suitable for applications ranging from phototherapy to imaging and sensing, but their uptake has mainly been explored in eukaryotic cells. Here the authors explore ...

2022

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

A note on universal inference

Anthony Christopher Davison, Timmy Rong Tian Tse

Universal inference enables the construction of confidence intervals and tests without regularity conditions by splitting the data into two parts and appealing to Markov's inequality. Previous investigations have shown that the cost of this generality is a ...

WILEY2022

Dissecting centriole fate in C. elegans development

Nils Kalbfuss

The presence of centrioles is critical for fundamental cell and developmental processes, including polarity, migration and division. Although centrioles are present in most proliferating cells, they are thought to vanish after cell cycle exit in some diffe ...

EPFL2022

Validation of spent nuclear fuel decay heat calculations using Polaris, ORIGEN and CASMO5

Stefano Caruso, Andreas Pautz, Dimitri Rochman

Decay heat calculations of spent nuclear fuel (SNF) using Polaris and ORIGEN codes in the SCALE code sys-tem, and CASMO5 code, are validated using measurements from the Clab and GE-Morris facilities. Multiple hypothesis testing, relying on permutations and ...

PERGAMON-ELSEVIER SCIENCE LTD2022