Cris Gómez (@cris12gm)

Circulating extracellular vesicle isomiR signatures predict therapy response in patients with multiple myeloma Current diagnostic methods fail to predict which patients with multiple myeloma will benefit from daratumumab-containing treatment regimens. Gómez-Martín et al. demonstrate that a machine learning str...

Excited to share our new paper in Cell Reports Medicine! 🎉

We show that plasma EV–bound microRNAs, profiled with IsoSeek and machine learning, can detect disease and predict therapy response in myeloma patients.

Thanks to the ERG group and all collaborators!
🔗 www.cell.com/cell-reports...

25.09.2025 09:20 👍 1 🔁 0 💬 0 📌 0

Circulating extracellular vesicle isomiR signatures predict therapy response in patients with multiple myeloma Current diagnostic methods fail to predict which patients with multiple myeloma will benefit from daratumumab-containing treatment regimens. Gómez-Martín et al. demonstrate that a machine learning strategy applied to small RNA sequencing data from plasma extracellular vesicle fractions can generate biologically motivated isomiR signatures that predict treatment response.

Online now: Circulating extracellular vesicle isomiR signatures predict therapy response in patients with multiple myeloma

16.09.2025 19:19 👍 1 🔁 1 💬 0 📌 0

www.exosomes.nl @ day 3 of #ISEV2025!!

26.04.2025 11:30 👍 6 🔁 2 💬 0 📌 0

Full length EV-tRNAs at #ISEV2025 www.biorxiv.org/content/10.1...

@cscheepbouwer.bsky.social

26.04.2025 11:36 👍 9 🔁 2 💬 0 📌 0

ALL-tRNAseq enables robust tRNA profiling in tissue samples A biweekly scientific journal publishing high-quality research in molecular biology and genetics, cancer biology, biochemistry, and related fields

What better way to start things off than with a throwback to our ALL-tRNAseq paper?! genesdev.cshlp.org/content/37/5...

25.04.2025 16:27 👍 2 🔁 2 💬 0 📌 0

Cris Gómez

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