Aniel Sánchez

Targeted Analysis of >1500 Plasma Proteoforms via Individual Ion Mass Spectrometry

This paper introduces two plasma proteoform panels, PPA 526 and PPA 1514, using Individual Ion Mass Spectrometry to quantify proteoforms in human plasma with high reproducibility and disease discrimination capability.

Next-Generation Protein Sequencing and individual ion mass spectrometry enable complementary analysis of interleukin-6

This study compares single-molecule protein sequencing and individual ion mass spectrometry to analyze IL-6 proteoforms, showing combined coverage of 52% of the sequence.

Identifying Ferroptosis Inducers, HDAC, and RTK Inhibitor Sensitivity in Melanoma Subtypes through Unbiased Drug Target Prediction

This paper identifies potential drug targets and predicts treatment efficacy and resistance in melanoma subtypes using proteogenomic data and drug sensitivity analysis.

Top-Down Proteomics Identifies Plasma Proteoform Signatures of Liver Cirrhosis Progression

This study uses top-down proteomics to identify plasma proteoform signatures that distinguish stages of liver cirrhosis progression.

Deep Profiling of Plasma Proteoforms with Engineered Nanoparticles for Top-down Proteomics

This study uses engineered nanoparticles to enrich low-abundant proteins in human plasma, enabling top-down proteomics to detect proteoforms at lower concentrations and expand proteome depth.

Predicting immune checkpoint therapy response in three independent metastatic melanoma cohorts

The paper identifies six proteins that predict response to immune checkpoint therapy across three melanoma cohorts and correlate with patient survival.

Proteogenomics analysis of human tissues using pangenomes

The paper reanalyzes human tissue proteomics data using pangenome references to identify novel peptides and variants, demonstrating the effectiveness of proteogenomics approaches with pangenome data.

A comprehensive evaluation of consensus spectrum generation methods in proteomics

The paper evaluates consensus spectrum generation methods in proteomics, finding BEST and BIN to be the most reliable for peptide identification.