Publications related to Integration column: Microfluidic high-throughput screening

Prolamins' 3D structure: A new insight into protein modeling using the language of numbers and shapes

This study combined protein modeling methods to generate the prolamins' fractions as precise as possible. Hence, gliadins, zeins, kafirins, hordeins, secalins, avenins and oryzins were generated based on their characteristics and disulfide mapping. Finding ...

Elsevier Sci Ltd2024

Decoding Chromatin Ubiquitylation: A Chemical Biology Perspective

Beat Fierz, Pauline Franz

Since Strahl and Allis proposed the "language of covalent histone modifications", a host of experimental studies have shed light on the different facets of chromatin regulation by epigenetic mechanisms. Initially proposed as a concept for controlling gene ...

Academic Press Ltd- Elsevier Science Ltd2024

Electronic readout of DNA amplification in nanoliter chambers. Strategies towards highly parallel semiconductor-based nucleic acid amplification testing

Saurabh Tomar

Polymerase chain reaction (PCR) has been the most significant driver in the field of nucleic acid testing (NAT) since its invention. Popularized as an abbreviation by the Covid-19 pandemic, PCR-based methods are the gold standard in the field of diagnostic ...

EPFL2023

Design and construction of a microfluidics workstation for high-throughput multi-wavelength fluorescence and transmittance activated droplet analysis and sorting

Christoph Merten, Jatin Panwar, Alexis Louis Autour

Droplet microfluidics has revolutionized quantitative high-throughput bioassays and screening, especially in the field of single-cell analysis where applications include cell characterization, antibody discovery and directed evolution. However, droplet mic ...

NATURE PORTFOLIO2023

Development of next-generation microfluidic systems for enhanced, faster, and cost-effective immunoassays for tissue diagnostics - Ac electrothermal flow & Acoustofluidics

Muaz Salama Abdelmonem Draz

The application of microfluidics in the field of surface-based assays and more specifically, the spatial molecular profiling of tumor tissues has gained a lot of interest, especially with the increased interest in personalized medicine and targeted therapy ...

EPFL2023

Passive and Deterministic Droplet Microfluidics for Single Object Encapsulation and Pairing

Jiande Zhou

The single-cell study, which dissects cell-cell heterogeneity from bulk populations, is of growing attention and importance in biological studies and clinical practices. At the core of the single-cell analysis is the efficient cell isolation and constructi ...

EPFL2023

Label-free plasmonic microarray for multiplexed analysis of cells and tumor organoids

Yen-Cheng Liu

Investigating the dynamic activities of protein expression and signaling in living organisms is a crucial focus of intense research aimed at elucidating the processes that underlie disease progression and improving treatments and drug development. Resolvin ...

EPFL2023

Combination of dielectrophoretic and hydrodynamic traps for the controlled contact between cells or beads and application to adhesion assays

Clémentine Sophie Sarah Lipp

Multicellular organisms require very well organized and finely balanced cell-cell communication, adhesion and coordination to ensure the organisms homeostasis. These functions rely on specialized receptors placed at the cells membrane whose binding to thei ...

EPFL2023

Microfluidic systems for in-flow bioanalytes collection

Pierre-Emmanuel Marie Thiriet

Microfluidic is an ensemble of technologies and methods that permits the handling and analysis of minute volumes of samples in short timescales. Since its introduction it revealed a remarkable potential to unveil novel biological mechanisms. The small volu ...

EPFL2022

Symbolic kinetic models in python (SKiMpy): intuitive modeling of large-scale biological kinetic models

Vassily Hatzimanikatis, Georgios Fengos, Maria Masid Barcon, Daniel Robert Weilandt, Zhaleh Hosseini, Pierre Guy Rémy Salvy

Motivation: Large-scale kinetic models are an invaluable tool to understand the dynamic and adaptive responses of biological systems. The development and application of these models have been limited by the availability of computational tools to build and ...

OXFORD UNIV PRESS2022