Concept

Omique

Publications associées (64)

Multimodal transcriptomic atlases of mouse spinal cord injury

A spinal cord injury (SCI) triggers a cascade of molecular and cellular responses involving inflammatory cell infiltration and cytokine release, apoptosis, demyelination, excitotoxicity, ischemia, and the formation of a fibrotic scar surrounded by an astro ...

EPFL2024

Improved microfluidic transcriptome based screening methods

Christoph Merten, Xiaoli Ma, Leonie Kolmar, Hongxing Hu

The invention provides microfluidic screening systems for the identification of compounds or compositions influencing cellular transcriptomes. The invention is predicated upon taking into account differences in newly synthesized mRNA in contrast to so call ...

2024

Optimality principles for the analysis of biological processes across scales: From enzyme kinetics to microbiome dynamics

Asli Sahin

Microorganisms are essential for life on Earth, performing key roles in numerous biological processes. Their influence extends across a wide spectrum, from human health and ecological balance to advancements in biotechnology and industrial applications. Th ...

EPFL2024

Benchmarking informatics approaches for virus discovery: caution is needed when combining in silico identification methods

Jaspreet Singh Saini

Understanding the ecological impacts of viruses on natural and engineered ecosystems relies on the accurate identification of viral sequences from community sequencing data. To maximize viral recovery from metagenomes, researchers frequently combine viral ...

Washington2024

Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states

Vassily Hatzimanikatis, Ljubisa Miskovic, Michaël Roger Germain Moret

Large omics datasets are nowadays routinely generated to provide insights into cellular processes. Nevertheless, making sense of omics data and determining intracellular metabolic states remains challenging. Kinetic models of metabolism are crucial for int ...

2023

Assessing normalization methods in mass spectrometry-based proteome profiling of clinical samples

Loïc Dayon

Background: Large-scale proteomic studies have to deal with unwanted variability, especially when samples originate from different centers and multiple analytical batches are needed. Such variability is typically added throughout all the steps of a clinica ...

ELSEVIER SCI LTD2022

Enrichment of gut microbiome strains for cultivation-free genome sequencing using droplet microfluidics

Christoph Merten

We report a droplet microfluidic method to target and sort individual cells directly from complex microbiome samples and to prepare these cells for bulk whole-genome sequencing without cultivation. We characterize this approach by recovering bacteria spike ...

2022

Recent advances in trajectory inference from single-cell omics data

Bart Deplancke, Wouter Saelens

Trajectory inference methods have emerged as a novel class of single-cell bioinformatics tools to study cellular dynamics at unprecedented resolution. Initial development focused on adapting methods based on clustering or graph traversal, but recent advanc ...

ELSEVIER2021

An integrative multi-omics approach reveals new central nervous system pathway alterations in Alzheimer's disease

Mojgan Masoodi, Christopher Clark

Background Multiple pathophysiological processes have been described in Alzheimer's disease (AD). Their inter-individual variations, complex interrelations, and relevance for clinical manifestation and disease progression remain poorly understood. We hypot ...

BMC2021

Single-cell lipidomics reveals a role for cell-to-cell sphingolipid heterogeneity in fibroblast activation

Laura Capolupo

Cell-to-cell variability plays a key role in tissue patterning by setting initial asymmetry that primes cell fate decisions. Fluctuations in the activity of regulatory molecules can commit individual cells to divergent differentiation pathways, and cell-to ...

EPFL2021

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