MD-PhD | genomics, cancer evolution, somatic mutations, lineage tracing | postdoc at Stanford Medicine, Curtis lab.
Palo Alto, CA
Joined October 2010
- Tweets98
- Following184
- Followers104
- Likes157
Seongyeol Park retweeted
Excited to share our latest work. Applying advanced single-molecule and single-cell DNA sequencing methods, we uncover an extraordinary landscape of somatic mutations in immune checkpoint genes in autoimmune lymphocytes. [1/n] rdcu.be/fdqbr
Seongyeol Park retweeted
I am pleased to share our work on Cavendish bananas, a clonally propagated crop. Using somatic mutations from >100 bananas collected worldwide, we reconstructed their global dissemination history and genetic microevolution under large-scale cultivation.
researchsquare.com/article/r…
Seongyeol Park retweeted
1/n Have you ever wondered whether an amplified oncogene in a patient’s tumor (HER2/EGFR/CCND1/…) is carried on extrachromosomal DNA (ecDNA) vs embedded within a chromosome? Bulk WGS + genome graph can hint, but in practice it’s often hard to resolve. Here is our new preprint.
Seongyeol Park retweeted
So excited to see our work profiling the tumor microenvironment in triple negative breast cancer out @NatureCancer! Please give it a read, super proud of this one :)
For a full description of what we found, see below for a detailed tweetorial. nature.com/articles/s43018-0…
I’m super excited to share what I’ve been working on for the last (many) years: a spatial + genomic + transcriptomic characterization of how the breast cancer microenvironment evolves through immunotherapy! (1/x) biorxiv.org/content/10.1101/…
I am honored to be part of this fellowship and look forward to engaging with experts.
🎉 CRI is proud to announce our Fall 2024 class of CRI Irvington Postdoctoral Fellows and Immuno-Informatics Fellows! Meet the exceptional researchers who are investigating novel therapeutic strategies to harness the immune system against cancer: bit.ly/4hSZlvB
Seongyeol Park retweeted
I’m super excited to share what I’ve been working on for the last (many) years: a spatial + genomic + transcriptomic characterization of how the breast cancer microenvironment evolves through immunotherapy! (1/x) biorxiv.org/content/10.1101/…
Seongyeol Park retweeted
Super excited to introduce QUICHE (Quantitative InterCellular Niche Enrichment) - a statistical method that can be used to discover local cellular niches differentially enriched in spatial regions, longitudinal samples, or clinical patient groups :) (1/10) biorxiv.org/content/10.1101/…
Seongyeol Park retweeted
The Curtis Lab’s latest study on the genomic architecture of breast cancer from the pre-invasive to metastatic setting is now out in Nature! nature.com/articles/s41586-0…
Seongyeol Park retweeted
🧬Excited to share highlights from our latest publication demonstrating preservation of clinical utility with whole genome sequencing (WGS) data generated from routine FFPE cancer biopsies! 🧵#CancerGenomics @SerenaNikZainal @EarlyCancerCam @MedGen_UOC
nature.com/articles/s41467-0…
Seongyeol Park retweeted
Peter Campbell leaves the Sanger Institute at the end of the year to become Quotient's CSO. A mentor and one of my favourite scientists. His foundational, profound and creative contributions to cancer genomics and somatic evolution have truly shaped those fields. [1/7]
Academic co-founder, Peter Campbell, Ph.D., is joining the Quotient team as CSO. We look forward to advancing the first ever #SomaticGenomics platform under his leadership. Read more: bit.ly/3YBCkqS
It was fantastic scientific event. I gained valuable insights into cancer research and connected with peers for discussions. Many thanks to @NCICancerBio and the organizing committee. #NCI_JI_2024
Seongyeol Park retweeted
I am delighted that my company (@inocras) shows the utility of whole-genome sequencing in real-world oncology! A prospective study with Ajou Univ. Hospital.
nature.com/articles/s12276-0…
Seongyeol Park retweeted
We are pleased that our analyses on somatic mitochondrial DNA mutations (mosaicism) in normal human cells are published! Great work @JisongAn. nature.com/articles/s41588-0…
Seongyeol Park retweeted
Does cancer #evolution & intra-tumour heterogeneity predict long-term relapse? We tested the evolutionary paradigm in prostate cancer clinical trials with long follow-up, combining genomics with digital histopathology: nature.com/articles/s43018-0…
Seongyeol Park retweeted
Open #PhD position in my lab @humantechnopole in Milan together with @polimi. #DataScience for cancer evolution. Use #MachineLearning methods to analyse and interpret cancer single cell data and understand how to design better treatments. Join us!
📈 Dreaming of a PhD journey in #DataAnalytics and Decision Sciences? Here's your chance!
🎓 4 fully funded PhD positions now available at HT through @polimi to shape the future of healthcare through cutting-edge research.
humantechnopole.it/en/news/4… #phdlife
Seongyeol Park retweeted
I'm super excited to share Nimbus, our algorithm for automatic classification of cellular marker expression in multiplexed image data! Nimbus is a pretrained deep learning model that works out of the box across panels with any combination of markers (1/x) biorxiv.org/content/10.1101/…
Seongyeol Park retweeted
We have just updated our database of (496!) funding opportunities for early-career researchers/faculty.
For each entry, we provide link, $ amount, deadline, eligibility criteria.
Download this database for free here: research.jhu.edu/rdt/funding…
Seongyeol Park retweeted
Beyond excited to see this paper out. Most satisfying paper reproducing lung adeno to small-cell transformation in experimental model. Key players: EGFR, TP53, RB1, PIK3CA/PTEN, and MYC. Huge congratulations to Eric Gardner, @LaughneyLab, and the team! science.org/doi/10.1126/scie…
Seongyeol Park retweeted
Our latest paper: measurement of cancer evolutionary dynamics at massive scale, using just a methylation array on bulk DNA. Find evolutionary dynamics strongly determine clinical outcomes in lymphoid cancers. Fab collab with Inaki Martin & @Marti_DF, & led by @CalumGabbutt. A🧵⬇️
Does the evolutionary history of a cancer predict outcome? In our pre-print, we introduce a new method to measure a cancer’s past using bulk methylation data. In chronic lymphocytic leukaemia (CLL), these inferred histories are highly prognostic! (1/9)
doi.org/10.1101/2023.11.10.2…
