PhD Project - Unraveling the biology and signalling potential of sparse cell antigens through single-molecule flow cytometry at University of Leeds, listed on FindAPhD.com

The 2026 Gordon Research Conference on Single Molecule Approaches to Biology will be held in Les Diablerets, Vaud (fr) Switzerland. Apply today to reserve your spot.

This Review provides insights into nanosensor technologies for monitoring cellular biomarkers, proposing a spatial framework to clarify their distinct advantages, challenges and performance for high-r...

Flow cytometry (FC) is a powerful tool for high-throughput characterisation of cell populations, yet its ensemble fluorescence detection and the autofluorescence of cells impose a sensitivity limit of...

Image processing methods offer the potential to improve the quality of fluorescence microscopy data, allowing for image acquisition at lower, less phototoxic illumination doses. The training and evalu...

Highlighted Article: Inhibition of class I p21-activated kinase activity leads to the constitutitive production of PI(3,4,5)P3 at the plasma membrane and a dysregulation of the actin cytoskeleton.

The authors show how to compute the autocorrelation function of FRET efficiencies and obtain dynamic information from as little as a few thousand molecules.

The cytoplasm is a dynamic, self-organizing system spanning scales from organelles to biomolecular condensates and multienzyme assemblies. While enzymatic regulation has traditionally been attributed to transcriptional control and allostery, emerging evidence highlights the cytoplasm’s physical properties─macromolecular crowding, viscosity, and diffusion─as a crucial yet underappreciated regulatory layer. These biophysical factors actively modulate enzymatic activity and metabolic flux, maintaining homeostasis and enabling adaptive cellular responses. This Perspective explores the biochemical interplay between the cytosolic environment and enzymatic function, emphasizing how cytoplasmic organization contributes to metabolic regulation.

Treacle condensation, driven by alternating charge blocks, facilitates interactions with transcription factors to spatially segregate ribosomal RNA synthesis and processing, while also recruiting TOPB...

DeepTRACE is a machine learning tool for analysing long, complex single-molecule tracks in living cells; learning from sequences of molecular events using spatial, temporal, and photometric context. I...

Super-resolution microscopy, particularly localization-based methods, necessitates careful balancing of optical complexity, computational demands, and user accessibility. Conventional strategies typic...