Computational methods for studying single-cell 3D genome
研究单细胞 3D 基因组的计算方法
基本信息
- 批准号:10570830
- 负责人:
- 金额:$ 54.49万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-02-11 至 2026-01-31
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAddressAlgorithmsBiologicalBiological AssayBiological ProcessBiologyCatalogsCell NucleusCellsChromatinCommunitiesComplexComputing MethodologiesDataData AnalysesData SetData SourcesDevelopmentDiseaseEvaluationExcisionFormulationGene ExpressionGenomeGenomicsHealthHematopoiesisHeterogeneityHi-CHumanImageIndividualIntuitionKnowledgeMapsMethodsMissionModelingOutcomePopulationPublic HealthResearchResearch PersonnelResolutionResourcesRoleSeriesStructureTechnologyTissuesUnited States National Institutes of HealthValidationVariantVisualizationWorkcell typecomputerized data processingcomputerized toolsdata explorationdiverse dataempowermentepigenomicsfunctional genomicsfunctional outcomesgene functiongenomic datagraph neural networkhematopoietic differentiationimaging modalityimprovedmultimodal datamultimodalitypopulation basedpredictive modelingsimulationsingle cell analysissupervised learningthree dimensional structuretooluser-friendly
项目摘要
PROJECT SUMMARY
The three-dimensional (3D) genome organization in the nucleus is of vital importance to genome function. The
vast majority of the existing 3D genome studies, however, are based on population-based assays that are
unable to unveil the functional roles of 3D genome structures at single-cell resolution in complex tissues.
Recent advent in single-cell Hi-C (scHi-C) technologies has enabled genomic mapping of chromatin
interactions in individual cells, but the analysis of scHi-C data remains a significant challenge. In particular,
computational methods that can effectively analyze scHi-C data to extract multiscale 3D genome features are
significantly lacking, limiting our ability to reveal the variability of structure and function connections in
heterogeneous cell populations. The overall objective of this proposal is to develop state-of-the-art
computational tools for scHi-C data analysis that effectively identify multiscale single-cell 3D genome features
and connect them to genome function. Specifically, we will (1) develop algorithms for scHi-C data processing
and imputation to delineate multiscale 3D genome features; (2) develop computational methods to connect 3D
genome structure and function in heterogeneous cell population; and (3) develop an integrative visualization
platform to navigate single-cell 3D genome organization. The methods developed in this project can be applied
to all types of scHi-C data generated by different single-cell chromatin interaction assays to reveal 3D genome
features at multiple scales, quantifying their variability and predicting their functional outcomes. The new tools
and resources from this project will be publicly accessible through our new visualization platform that provides
integrative and interactive navigation of scHi-C data and other data types. Overall, our project will greatly
facilitate the use of scHi-C data by the broad scientific community and be of high value to a diverse group of
biomedical researchers.
项目总结
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Zhijun Duan其他文献
Zhijun Duan的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Zhijun Duan', 18)}}的其他基金
Single-cell multiomic methods for studying genome structure and function
研究基因组结构和功能的单细胞多组学方法
- 批准号:
10884769 - 财政年份:2023
- 资助金额:
$ 54.49万 - 项目类别:
Computational methods for studying single-cell 3D genome
研究单细胞 3D 基因组的计算方法
- 批准号:
10392079 - 财政年份:2022
- 资助金额:
$ 54.49万 - 项目类别:
Impact of Methamphetamine Use on the HIV Nucleome in Individuals on Antiretroviral Therapy
使用甲基苯丙胺对接受抗逆转录病毒治疗的个体 HIV 核组的影响
- 批准号:
9764331 - 财政年份:2018
- 资助金额:
$ 54.49万 - 项目类别:
相似海外基金
Rational design of rapidly translatable, highly antigenic and novel recombinant immunogens to address deficiencies of current snakebite treatments
合理设计可快速翻译、高抗原性和新型重组免疫原,以解决当前蛇咬伤治疗的缺陷
- 批准号:
MR/S03398X/2 - 财政年份:2024
- 资助金额:
$ 54.49万 - 项目类别:
Fellowship
Re-thinking drug nanocrystals as highly loaded vectors to address key unmet therapeutic challenges
重新思考药物纳米晶体作为高负载载体以解决关键的未满足的治疗挑战
- 批准号:
EP/Y001486/1 - 财政年份:2024
- 资助金额:
$ 54.49万 - 项目类别:
Research Grant
CAREER: FEAST (Food Ecosystems And circularity for Sustainable Transformation) framework to address Hidden Hunger
职业:FEAST(食品生态系统和可持续转型循环)框架解决隐性饥饿
- 批准号:
2338423 - 财政年份:2024
- 资助金额:
$ 54.49万 - 项目类别:
Continuing Grant
Metrology to address ion suppression in multimodal mass spectrometry imaging with application in oncology
计量学解决多模态质谱成像中的离子抑制问题及其在肿瘤学中的应用
- 批准号:
MR/X03657X/1 - 财政年份:2024
- 资助金额:
$ 54.49万 - 项目类别:
Fellowship
CRII: SHF: A Novel Address Translation Architecture for Virtualized Clouds
CRII:SHF:一种用于虚拟化云的新型地址转换架构
- 批准号:
2348066 - 财政年份:2024
- 资助金额:
$ 54.49万 - 项目类别:
Standard Grant
The Abundance Project: Enhancing Cultural & Green Inclusion in Social Prescribing in Southwest London to Address Ethnic Inequalities in Mental Health
丰富项目:增强文化
- 批准号:
AH/Z505481/1 - 财政年份:2024
- 资助金额:
$ 54.49万 - 项目类别:
Research Grant
ERAMET - Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
ERAMET - 快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
- 批准号:
10107647 - 财政年份:2024
- 资助金额:
$ 54.49万 - 项目类别:
EU-Funded
BIORETS: Convergence Research Experiences for Teachers in Synthetic and Systems Biology to Address Challenges in Food, Health, Energy, and Environment
BIORETS:合成和系统生物学教师的融合研究经验,以应对食品、健康、能源和环境方面的挑战
- 批准号:
2341402 - 财政年份:2024
- 资助金额:
$ 54.49万 - 项目类别:
Standard Grant
Ecosystem for rapid adoption of modelling and simulation METhods to address regulatory needs in the development of orphan and paediatric medicines
快速采用建模和模拟方法的生态系统,以满足孤儿药和儿科药物开发中的监管需求
- 批准号:
10106221 - 财政年份:2024
- 资助金额:
$ 54.49万 - 项目类别:
EU-Funded
Recite: Building Research by Communities to Address Inequities through Expression
背诵:社区开展研究,通过表达解决不平等问题
- 批准号:
AH/Z505341/1 - 财政年份:2024
- 资助金额:
$ 54.49万 - 项目类别:
Research Grant














{{item.name}}会员




