African Translation Project / Rally Weekend - let's close this up! / please see - please share / After eight months - let's complete funding for the translation of Zvinobvinza to: The Crocodile Doesn'...

The communication hinge, found in type IV ABC transporters, forms a bidirectional communication between ATP- and substrate-binding sites. This is an unexplored allosteric pathway critical for function...

Formic acid has long been the default acidic additive in reversed-phase LC-MS-based bottom-up proteomics, offering a practical balance between chromatographic performance and electrospray ionization (...

Li et al. uncover a connection between metabolic cues and mitochondrial protein degradation, showing that specifically leucine stabilizes outer mitochondrial membrane proteins by inhibiting ubiquityla...

Mass-spectrometry-based phosphoproteomics enables the analysis of thousands of protein phosphorylation events across the human proteome. However, there is a lack of scalable, hypothesis-free, and stat...

Advancing our understanding of human health and disease requires comprehensive analytical approaches capable of capturing the complex interplay between endogenous metabolism and environmental exposure...

The quantitative analysis of aldosterone and its associated steroid hormone profile including aldosterone (ALD), 18-hydroxycorticosterone (18-OHB), 18-hydroxycortisol (18-OHF), 18-oxocortisol (18-OXOF...

We have developed a new hydrophilic interaction liquid chromatography-mass spectrometry (HILIC-MS) method with mobile phases optimized for high metabolite coverage in individual polarity modes. This d...

Ensemble, nous pouvons empêcher la Suisse de prendre des engagements qui mettent en danger nos valeurs démocratiques, notre indépendance et nos normes.

Data-Independent Acquisition (DIA) has emerged as a powerful mass spectrometry (MS) strategy for comprehensive metabolomics. This study presents a novel short gradient (13 min) nanosensitive analytical method for human plasma analysis using DIA LC-MS/MS, focusing on in-depth optimization of MS parameters to maximize data quality and metabolite coverage. Key MS parameters, including scan speed, isolation window width, resolution, automatic gain control, and collision energy, were systematically tuned to balance the sensitivity and specificity while minimizing interferences. The optimized method enabled the detection of 2,907 features with 675 annotated compounds, leveraging recent progress in nano-LC-MS/MS for multiomics applications and showcasing the possibility of combining proteomics and metabolomics within a single chromatographic system. Ultimately, a comparison was performed between the data acquired through the DIA and DDA MS approaches in the context of untargeted metabolomics. This optimized analytical method yields more robust and reproducible results, thereby expanding the potential for meaningful discoveries across diverse biological fields.

Current applications of mass-spectrometry-based proteomics range from single-cell to body fluid analysis, each presenting very different demands regarding sensitivity or sample throughput. Additionally, the vast molecular complexity of proteomes and the massive dynamic range of protein concentrations in these biological systems require highly performant chromatographic separations in tandem with the high speed and sensitivity afforded by modern mass spectrometers. In this study, we focused on the chromatographic aspect and, more specifically, systematically evaluated proteome analysis performance across a wide range of chromatographic flow rates (0.3–50 μL/min) and associated column diameters using a Vanquish Neo HPLC coupled online to a Q Exactive HF-X mass spectrometer. Serial dilutions of HeLa cell line digests were used for benchmarking, and the total analysis time from injection to injection was intentionally fixed at 60 min (24 samples per day). The three key messages of the study are that (i) all chromatographic flow rates are suitable for high-quality proteome analysis, (ii) capLC (1.5 μL/min) is a very robust, sensitive, and quantitative alternative to nLC for many applications, and (iii) showcased proteome, phosphoproteome, and drug proteome data provide sound empirical guidance for laboratories in selecting appropriate chromatographic flow rates and column diameters for their specific applications.

Dopamine encoding of reward prediction errors naturally fluctuates over females’ reproductive cycles with estrogenic signaling due to reduced expression of dopamine reuptake proteins.

The Cell Dynamics and Fragmentation lab at We study how single cells move and fragment in complex environments using microfluidics. We bring tools and concep...