🔥Extra-hot pre-print before this hellsite goes up in smoke 🔥

New horizons open up when sequencing costs go ↘️ @UltimaGenomics

Interested in deep cfDNA WGS for ultra-sensitive cancer detection? Duplex sequencing at genome scale?

biorxiv.org/content/10.110…
Check out 🪡👇 Back in 2020 we introduced the concept of plasma whole genome sequencing (WGS) for MRD detection. We showed that genome wide mutational integration severs the limiting dependency between the number of DNA fragments in the sample and sensitivity.
nature.com/articles/s4159…

💃📢¡GoTChA! New pre-print🤯🕺

High throughput single-cell multi-omics platform to jointly capture genotype and chromatin accessibility; charting the differentiation of clonal outgrowths

If you have a moment, would love to tell you all about it 👇

biorxiv.org/content/10.110… Clonal outgrowths are everywhere in us humans. In malignant and non-malignant tissue. But we know little about the phenotypes of somatic driver mutations in primary human samples. To address this key challenge we need the ability to connect genotype and phenotype in single cells

🥳Max-level joy sharing new work with @MarioSuva 🥳
Single-cell multi-omics defines epigenetic encoding, heritability and plasticity of cancer transcriptional cell states @NatureGenet
nature.com/articles/s4158…
Short 🪡 /n First off, congrats to @ChaligneRonan (now @sloan_kettering) @fgaiti (now @pmcancercentre) @DSilverbush & @jsschiffman for making this dream project come true 🥂

Excited to share our work @NatureMedicine offering a novel framework [MRDetect] for ultra-sensitive cancer monitoring through whole genome mutational integration of cfDNA go.nature.com/2XmxJZv
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#LiquidBiopsy #WGS #cfDNA #MachineLearning
👇👇👇 Therapy monitoring is a central pillar of modern medicine. And yet, in many areas of oncology, we lack sensitive monitoring tools for residual disease detection. ctDNA carries the potential to change this, but is scarce in low-burden disease.