Peng Song

ORCID: 0000-0001-9803-9656
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About
Contact & Profiles
Research Areas
  • Cancer Genomics and Diagnostics
  • Epigenetics and DNA Methylation
  • Single-cell and spatial transcriptomics
  • Modular Robots and Swarm Intelligence
  • Cerebrospinal fluid and hydrocephalus
  • Micro and Nano Robotics

Chinese Academy of Medical Sciences & Peking Union Medical College
2022-2023

Inspired by the collective intelligence in natural swarms, microrobotic agents have been controlled to form artificial swarms for targeted drug delivery, enhanced imaging, and hyperthermia. Different from these well-investigated tasks, this work aims develop embolization, which is a clinical technique used block blood vessels treating tumors, fistulas, arteriovenous malformations. Magnetic particle were formed selective embolization address low selectivity of present that prone cause...

10.1126/sciadv.abm5752 article EN cc-by-nc Science Advances 2022-07-20

Multimodal epigenetic characterization of cell-free DNA (cfDNA) could improve the performance blood-based early cancer detection. However, integrative profiling cfDNA methylome and fragmentome has been technologically challenging. Here, we adapt an enzyme-mediated methylation sequencing method for comprehensive analysis genome-wide methylation, fragmentation, copy number alteration (CNA) characteristics enhanced We apply this to plasma samples 497 healthy controls 780 patients seven types...

10.1038/s41467-023-41774-w article EN cc-by Nature Communications 2023-09-27

Abstract Plasma cell-free DNA (cfDNA) methylation and fragmentation signatures have been shown to be valid biomarkers for blood-based cancer detection. However, conventional sequencing assays are inapplicable fragmentomic profiling due bisulfite-induced damage. Here using enzymatic conversion-based low-pass whole-methylome (WMS), we developed a novel approach comprehensively interrogate the genome-wide plasma methylation, fragmentation, copy number profiles sensitive noninvasive multi-cancer...

10.1101/2022.07.04.498641 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2022-07-05
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