Pedro Aragon-Fernandez

Defining Quality Control Standards for Single-Cell Proteomics by Inter-Laboratory Benchmarking

This study establishes quality control standards for single-cell proteomics through inter-laboratory benchmarking, identifying software and technical factors affecting data reliability.

Capillary-based Subcellular Sampling Uncovers the Stress Granule Proteome in Single Cells

The paper introduces a capillary-based subcellular sampling method combined with LC-MS to analyze stress granule proteomes in single cells, identifying 405 high-confidence proteins with minimal cytosolic contamination.

Cholesterol Biosynthesis is a Targetable Vulnerability of CEBPA-mutant Acute Myeloid Leukemia

This study identifies cholesterol biosynthesis as a therapeutic target in CEBPA-mutant AML, showing that statins enhance chemosensitivity in cells with co-mutations in TET2 or WT1.

Quantitative Label-Free Single-Cell Proteomics on the Orbitrap Astral MS

This study evaluates the Orbitrap Astral MS's sensitivity for single-cell proteomics, showing improved proteome coverage and quantitative accuracy in low-input samples.

Unraveling the proteome landscape of mouse hematopoietic stem and progenitor compartment with high sensitivity low-input proteomics

This study develops a low-input proteomics workflow to analyze rare hematopoietic stem and progenitor cells, identifying 7,000 proteins and a novel marker for long-term hematopoietic stem cells.

Assessing the role of trypsin in quantitative plasma- and single-cell proteomics towards clinical application

The paper evaluates the impact of different trypsin variants on proteomics experiments across multiple sample types and methods, identifying variations in performance and providing handling recommendations.

Evaluating the capabilities of the Astral mass analyzer for single-cell proteomics

This study evaluates the Astral mass analyzer's performance in single-cell proteomics using DIA, showing improved proteome depth and quantitative precision for ultra-low input samples.

Enhancing single-cell proteomics through tailored Data-Independent Acquisition and micropillar array-based chromatography

The paper develops a tailored DIA method for single-cell proteomics to improve quantification from low-input samples and establishes a complete scp-MS workflow.