박민희 교수 사진

KAIST생명과학과신생 랩

Chromatin Organization·Decoding·Engineering (CODE) Lab (크로마틴 해독·설계 연구실)

박민희 Assistant Professor (Minhee Park)

홈페이지의 모집 안내

“We are looking for highly motivated and collegial graduate students, postdocs, and undergraduate researchers excited about chromatin, gene regulation, imaging, synthetic biology, epigenome engineering, and computational work.”

원문에서 확인하기
연구실 소개

이 연구실은 단일 세포에서 크로마틴의 3차원 구조와 후성유전적 상태를 관찰해, 이들이 유전자 발현을 조절하는 원리를 연구합니다. 합성생물학과 계산 모델링으로 후성유전 조절의 작동 원리와 기억을 규명하고, 이를 바탕으로 유전자 발현을 정밀하게 제어하는 프로그래밍 가능한 유전체·후성유전체 공학 도구를 개발합니다.

AI가 연구실 홈페이지를 바탕으로 생성한 연구실 소개예요

연구실 홈페이지의 소개

Reading the grammar of chromatin regulation — and learning to rewrite it — to build the next generation of gene and epigenome engineering tools. Chromatin — its 3D folding and its epigenetic state — sets the rules of gene regulation. CODE Lab works to read those rules and rewrite them. We observe chromatin organization directly, in single cells, to understand how 3D structure and epigenetic modifications control gene expression, and we turn that understanding into precise, programmable tools for genome and epigenome control. Discovery is led by ORCA-based multimodal spatial imaging of DNA, RNA, and protein, complemented by bottom-up synthetic biology that rebuilds regulatory logic from minimal parts. What is chromatin actually doing?We observe chromatin where it acts, in single cells. Our flagship is ORCA-based multimodal spatial imaging of DNA, RNA, and protein in the same cell — backed by spatial transcriptomics, flow cytometry, qPCR, Western blotting, nanopore and next-generation sequencing. What rules explain it?Using bottom-up synthetic biology, we rebuild epigenetic regulation from minimal parts to find the principles — the read–write logic and memory — sufficient to explain it, supported by computational modeling. Can we program it?We build what the rules predict: programmable genome- and epigenome-engineering tools for precise, durable control of gene expression — toward new therapeutic strategies.

원문 보기
연구 분야

Bioengineering (생명공학) · Epigenetics (후성유전학) · Molecular Biology (분자생물학) · Synthetic Biology (합성생물학)

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