| 项目编号 | PRJCA018079 | ||||||||||||||||||||||||
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| 项目标题 | Decoding the genomic landscape of chromatin-associated biomolecular condensates | ||||||||||||||||||||||||
| 涉及领域 | Model organism | ||||||||||||||||||||||||
| 数据类型 |
Raw sequence reads
Single cell sequencing |
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| 物种名称 |
Mus musculus
Homo sapiens |
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| 描述信息 | Biomolecular condensates play a significant role in chromatin activities, primarily by concentrating and compartmentalizing proteins and/or nucleic acids. However, their genomic landscapes and compositions remains largely unexplored, with a lack of dedicated computational tools for systematic identification in vivo. To address this, we developed CondSigDetector, a computational framework designed to detect condensate-like chromatin-associated protein co-occupancy signatures (CondSigs), to predict genomic loci and component proteins of distinct chromatin-associated biomolecular condensates. This framework, applied to mouse embryonic stem cells (mESC) and human K562 cell line, enabled us to depict the high-resolution genomic landscape of chromatin-associated biomolecular condensates, uncovering both known and potential novel biomolecular condensates. Multi-omics analysis and experimental validation further verified the condensation properties of CondSigs. Our investigation also shed light on the impact of chromatin-associated biomolecular condensates on chromatin activities. Collectively, CondSigDetector provides a novel approach to decode the genomic landscape of chromatin-associated condensates, facilitating a deeper understanding of their biological functions and underlying mechanisms in cells. | ||||||||||||||||||||||||
| 样品范围 | Multiisolate | ||||||||||||||||||||||||
| 发布日期 | 2024-06-24 | ||||||||||||||||||||||||
| 出版信息 |
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| 项目资金来源 |
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| 提交者 | Yong Zhang (yzhang@tongji.edu.cn) | ||||||||||||||||||||||||
| 提交单位 | Tongji University | ||||||||||||||||||||||||
| 提交日期 | 2023-07-03 |