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Joy Fan

@jlfan.bsky.social
38 followers 32 following 8 posts

PhD candidate in BME @Columbia | computational #cancer research at azizilab.com

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Joy Fan @jlfan.bsky.social · 18/12/2024
#Echidna is now publicly available at github.com/azizilab/ech..., and may also be installed on PyPI and Bioconda! We hope you will join us in understanding the role of CNAs in phenotypic plasticity!
github.com
GitHub - azizilab/echidna: Mapping genotype to phenotype through joint probabilistic modeling of single-cell gene expression and chromosomal copy number variation
Mapping genotype to phenotype through joint probabilistic modeling of single-cell gene expression and chromosomal copy number variation - azizilab/echidna
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Joy Fan @jlfan.bsky.social · 18/12/2024
📢 TL;DR: #Echidna 🦔integrates scRNA-seq & WGS to decouple gene dosage effects on phenotypic plasticity, tracks clonal evolution, and identifies resistance drivers in tumors. Read more here: www.biorxiv.org/content/10.1... Let’s unravel tumor evolution, one clone at a time! 7/7
biorxiv.org
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Joy Fan @jlfan.bsky.social · 18/12/2024
🌟 Why is this impactful? #Echidna doesn’t require joint scDNA/RNA sequencing (rare/expensive). Instead, it pairs scRNA-seq & WGS—readily obtainable from clinical samples. It’s scalable & can reveal mechanisms of cancer progression & treatment response! 🧬 6/
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Joy Fan @jlfan.bsky.social · 18/12/2024
A Case Study in Melanoma: 🧬 Clones resistant to anti-PD-1 therapy showed clusters of phenotype-defining genes in hotspots of amplification! Including: S100 family and MHC-II genes. #Echidna also disentangles intrinsic (CNA-driven) vs extrinsic expression immune signaling!
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Joy Fan @jlfan.bsky.social · 18/12/2024
What did we find? Applied to tumor samples: 1️⃣ Clonal structure reconstructed with higher accuracy vs InferCNV/Numbat. 2️⃣ Temporal dynamics captured: tracks clonal evolution pre/post therapy. 3️⃣ Drivers of resistance identified using GDX in genomic hotspots. 4/
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Joy Fan @jlfan.bsky.social · 18/12/2024
How it works: #Echidna models single-cell RNA & bulk WGS data using a Bayesian hierarchical framework. Key features: Deconvolves CNA profiles Tracks clones & their phenotypic states over time Introduces GDX: a metric quantifying gene dosage effects! 3/
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Joy Fan @jlfan.bsky.social · 18/12/2024
📌 Why Echidna? Phenotypic plasticity (cell adaptability) is critical in cancer progression & resistance. But how much of this plasticity is driven by gene dosage vs external cues? Echidna uncouples these effects, bridging genome & transcriptome across timepoints!
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Joy Fan @jlfan.bsky.social · 18/12/2024
🧵 Excited to share #Echidna, a Bayesian framework for quantifying the impact of gene dosage on phenotypic plasticity: tinyurl.com/296kf7hf! With @elhamazizi.bsky.social and @mingxz.bsky.social, we integrate scRNA-seq & WGS to uncover how CNAs drive tumor evolution and transcriptional variability.
biorxiv.org
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