Juan Felipe Beltrán, Ph.D.
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offbyjuan.bsky.social
Juan Felipe Beltrán, Ph.D.
@offbyjuan.bsky.social
I'm just an Alien, standing in front of a country, asking it to let me improve their biotechnology {Algorithms, Protein Sequencing, Drug Discovery, HCI, jokes}
Reposted by Juan Felipe Beltrán, Ph.D.
New impact case study outlines the impressive economic & scientific value of UniProt - the world-leading open data resource for protein sequence & functional information.

Users save up to 219 hours per year, equivalent to net benefits of up to €5,475 per user.

www.ebi.ac.uk/about/news/a...
Measuring the value and impact of UniProt
Case study shows the economic value and impact of UniProt, showing estimated annual gains of up to €5,475 per user.
www.ebi.ac.uk
June 25, 2025 at 3:24 PM
Reposted by Juan Felipe Beltrán, Ph.D.
We are excited to introduce ‘time’ as a new domain for proteomics multiplexing!

It enables:
-Label-free multiplexing
-Combinatorial multiplexing with plexDIA

Using combined 9-plexDIA and 3-timePlex we demonstrate 27-plex DIA 🚀
May 28, 2025 at 10:05 AM
Reposted by Juan Felipe Beltrán, Ph.D.
A new dimension for multiplexing mass spec analysis -- time -- is enabling scaling up throughput at new levels.

We demonstrate 27-plex DIA enabling over 500 samples / day.

We project that timePlex will enable throughputs exceeding 1,000 samples / day.

www.biorxiv.org/content/10.1...
May 28, 2025 at 10:32 AM
Reposted by Juan Felipe Beltrán, Ph.D.
We're trying a new publication format — the notebook pub!

By turning our Jupyter Notebooks into publishable artifacts, we hope to share faster, reduce the effort to convert analysis ➡️ pub, and make our work more reproducible.

Weigh in on our commentary:
research.arcadiascience.com/pub/perspect...
March 18, 2025 at 9:20 PM
Reposted by Juan Felipe Beltrán, Ph.D.
Was a great pleasure to write this perspective on two transformative works by leading single-cell proteomics labs. LC-MS now enables to quantify ~6000 proteins per HeLa cell. I think many types of experiments will benefit from being augmented with single-cell proteomics measurements.
March 6, 2025 at 9:40 PM
Reposted by Juan Felipe Beltrán, Ph.D.
This might be the best paper on applying sparse autoencoders to protein language models. The authors identify how neural networks trained on amino acid sequences "discover" different features, some specific to individual protein families, other for substructures

www.biorxiv.org/content/10.1...
February 10, 2025 at 12:15 PM
Reposted by Juan Felipe Beltrán, Ph.D.
How to Access the EOT Web Archives

Visit web.archive.org
Scroll to 🔎Collection Search section
Select "End Of Term (US Gov 2024)" from the menu
Type in your query term and click search

Or download bulk WARC files from eotarchive.org/data/
#EOT2024 #EOTArchive
December 9, 2024 at 6:38 PM
Reposted by Juan Felipe Beltrán, Ph.D.
This rate of validation suggests that antibodies should be considered non-specific until proven otherwise:

357 validated out of 1,124 tested.

.
January 31, 2025 at 12:24 PM
Reposted by Juan Felipe Beltrán, Ph.D.
Our first single cell proteomics paper is online now in JPR. A practical story and practice for the biological studies to come next pubs.acs.org/doi/10.1021/...
Cell Storage Conditions Impact Single-Cell Proteomic Landscapes
Single cell transcriptomics (SCT) has revolutionized our understanding of cellular heterogeneity, yet the emergence of single cell proteomics (SCP) promises a more functional view of cellular dynamics. A challenge is that not all mass spectrometry facilities can perform SCP, and not all laboratories have access to cell sorting equipment required for SCP, which together motivate an interest in sending bulk cell samples through the mail for sorting and SCP analysis. Shipping requires cell storage, which has an unknown effect on SCP results. This study investigates the impact of cell storage conditions on the proteomic landscape at the single cell level, utilizing Data-Independent Acquisition (DIA) coupled with Parallel Accumulation Serial Fragmentation (diaPASEF). Three storage conditions were compared in 293T cells: (1) 37 °C (control), (2) 4 °C overnight, and (3) −196 °C storage followed by liquid nitrogen preservation. Both cold and frozen storage induced significant alterations in the cell diameter, elongation, and proteome composition. By elucidating how cell storage conditions alter cellular morphology and proteome profiles, this study contributes foundational technical information about SCP sample preparation and data quality.
pubs.acs.org
January 25, 2025 at 3:16 PM
I am thrilled that this transition finally happened. Goodbye aspirational collection of bookmarks, I read some of you.
January 26, 2025 at 4:32 AM
Reposted by Juan Felipe Beltrán, Ph.D.
I’m going to use Fig 1 of this PNAS article in my very next graduate biostatistics lecture
August 30, 2024 at 4:57 PM