SNU CBE

Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells

2017 · Scientific Reports

저자

Joseph J. Kim, Neal K. Bennett, Mitchel S. Devita, Sanjay Chahar, Satish E. Viswanath, Eunjee A. Lee, Giyoung Jung, Paul P. Shao, Erin P. Childers, Shichong Liu, Anthony B. Kulesa, Benjamin A. Garcia, Matthew L. Becker, 황석연 (Nathaniel Suk-Yeon Hwang), Anant Madabhushi, Michael Paul Verzi, Prabhas V. Moghe

연구주제

Cell Image Analysis Techniques · Advanced Fluorescence Microscopy Techniques

NTIS 과학기술표준분류

가장 가까운 분류(생명과학 > 분자세포생물학)가 화학·화공 범위 밖이다. 배정 근거: 지원 과제·키워드 근거가 없어 AI가 논문 제목·초록을 읽고 고른 분류.

AI 연구 키워드·방법

chromatin organization histone epigenetic mark stem cell phenotype

high content nanoscopy image informatics

키워드 (OpenAlex)

chromatin organization single-cell imaging edicts histone modifications nanotopography substrate stiffness biophysical cues nuclear organization

초록

While distinct stem cell phenotypes follow global changes in chromatin marks, single-cell chromatin technologies are unable to resolve or predict stem cell fates. We propose the first such use of optical high content nanoscopy of histone epigenetic marks (epi-marks) in stem cells to classify emergent cell states. By combining nanoscopy with epi-mark textural image informatics, we developed a novel approach, termed EDICTS (Epi-mark Descriptor Imaging of Cell Transitional States), to discern chromatin organizational changes, demarcate lineage gradations across a range of stem cell types and robustly track lineage restriction kinetics. We demonstrate the utility of EDICTS by predicting the lineage progression of stem cells cultured on biomaterial substrates with graded nanotopographies and mechanical stiffness, thus parsing the role of specific biophysical cues as sensitive epigenetic drive…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

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교수 1

황석연

연구주제 1

Cell Image Analysis Techniques