David Gomez-Zepeda

@davidgomezzep.bsky.social

🇲🇽🇫🇷🇪🇺 Analytical chemist, specialized in #MassSpec #Proteomics. Leading the Immunopeptidomics Platform at HI-TRON Mainz / DKFZ

Trainees: If you haven't already, learn the value of implementing the Bat Signal with your peers. When you're stuck and need a body double, a review, a brainstorm, an escape... this can be game-changing. Don't worry about being a bother, instead: pay it forward. We all need it a some point. 1/3

Our paper is out in Nature today! We use Deep Visual Proteomics (DVP) to dissect α1-antitrypsin deficiency (AATD) in human liver at single-cell resolution. Let us take a tour through proteotoxic stress in intact human tissue — one hepatocyte at a time. www.nature.com/articles/s41...

Deep Visual Proteomics maps proteotoxicity in a genetic liver disease - Nature

High-resolution spatial proteomics were used to map molecular events during hepatocyte stress in pseudotime across all fibrosis stages, recapitulating known disease progression markers and revealing e...

nature.com

If you want to learn how to do #immunopeptidomics from <50,000 cells, join us at this Evosep webinar. @julbeyr.bsky.social will present Mild Acid Elution in a Tip (MAETi), a simple, antibody-free approach enabling unprecedented sensitivity

Evosep @evosep.bsky.social · last yr.

#Immunopeptidomics combines #proteomics and #immunology to study the complex repertoire of peptides presented by major histocompatibility complex (MHC) molecules on the cell surface. Join our webinar exploring the topic on April 24 here: www.evosep.com/webinars/web... #teammassspec

🚀 Boosting bacterial immunopeptide discovery! Our bioinformatics workflow integrates 4 search engines with follow-up rescoring to enhance ID by 27%, maximizing the discovery of vaccine candidates. Applied to timsTOF/Thermo data🦠💉Great work by Patrick Willems. pubs.acs.org/doi/10.1021/...

Maximizing Immunopeptidomics-Based Bacterial Epitope Discovery by Multiple Search Engines and Rescoring

Mass spectrometry-based discovery of bacterial immunopeptides presented by infected cells allows untargeted discovery of bacterial antigens that can serve as vaccine candidates. However, reliable identification of bacterial epitopes is challenged by their extremely low abundance. Here, we describe an optimized bioinformatic framework to enhance the confident identification of bacterial immunopeptides. Immunopeptidomics data of cell cultures infected with Listeria monocytogenes were searched by four different search engines, PEAKS, Comet, Sage and MSFragger, followed by data-driven rescoring with MS2Rescore. Compared with individual search engine results, this integrated workflow boosted immunopeptide identification by an average of 27% and led to the high-confidence detection of 18 additional bacterial peptides (+27%) matching 15 different Listeria proteins (+36%). Despite the strong agreement between the search engines, a small number of spectra (<1%) had ambiguous matches to multiple peptides and were excluded to ensure high-confidence identifications. Finally, we demonstrate our workflow with sensitive timsTOF SCP data acquisition and find that rescoring, now with inclusion of ion mobility features, identifies 76% more peptides compared to Q Exactive HF acquisition. Together, our results demonstrate how integration of multiple search engine results along with data-driven rescoring maximizes immunopeptide identification, boosting the detection of high-confidence bacterial epitopes for vaccine development.

pubs.acs.org

In our latest @Nature review with Tiannan Guo & Judith Steen, we explore how technological breakthroughs are revolutionizing MS-based proteomics: From enhanced sensitivity enabling single-cell analysis to high-throughput plasma proteomics & AI-based data interpretation www.nature.com/articles/s41...

Mass-spectrometry-based proteomics: from single cells to clinical applications - Nature

This Review summarizes advances in mass-spectrometry-based proteomics and explores the potential applications of these technologies in the clinic.

nature.com

Congratulations to David for being a finalist for the YPIC #proteomics Fund! We are happy to support his application at the Immunopeptidomics Platform HI-TRON and hope the fund will make this breakthrough project possible in collab with David from @lukasbunse.bsky.social lab at @dkfz.bsky.social

@ypic.bsky.social · last yr.

Meet YPIC Student Proteomics Fund finalist David Palmero Cantón! David is a biotechnologist by training who specialized in cancer research during his master’s studies and is now pursuing his PhD at DKFZ-German Cancer Research Center.

Hey #TeamMassSpec & #Proteomics Just like the past years, we, led by Dr. Christina Ludwig, are part of the organization of the amazing Brixen Proteomics Summer School. The first announcement is going on since a couple of days and many more exciting news will follow again soon.

Shabaz Lab@shabazlab.bsky.social · 2y ago

The Brixen Summer School is back and is, as usual, building up a strong speaker list. Thank you @eupaproteomics.bsky.social @ukbspr.bsky.social @msaid-de.bsky.social @thermofishersci.bsky.social @biognosys.bsky.social @ionopticks.bsky.social @evosep.bsky.social for support!

DIA-NN 2.0 is released! We consider it the biggest step forward in the history of DIA-NN. On modern LC-MS almost all identifications are now peptidoform-confident, with major improvements e.g. for phospho. Some other cool things too: github.com/vdemichev/Di...

Release DIA-NN 2.0 · vdemichev/DiaNN

We are excited to announce DIA-NN 2.0, the most significant milestone in the history of DIA-NN development. Key Breakthroughs Proteoform Confidence mode: DIA-NN 2.0 solves the long-standing chall...

github.com