Development of a novel method for cryopreservation of Drosophila melanogaster
黑腹果蝇冷冻保存新方法的开发
基本信息
- 批准号:10615031
- 负责人:
- 金额:$ 59.39万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-05-15 至 2025-04-30
- 项目状态:未结题
- 来源:
- 关键词:AdoptedAlgorithmsAllelesAutomationBiologicalBiomedical ResearchCell NucleusCellsCellular biologyCommunitiesCryopreservationDehydrationDevelopmentDevelopmental BiologyDrosophila genusDrosophila melanogasterDroughtsEmbryoEngineeringEvolutionFormulationFreezingFutureGeneticGenomeGenotypeGoalsImageIndividualInsectaInvestigationMachine LearningMaintenanceMechanicsMethodsMicroinjectionsMolecular BiologyMutationNeurosciencesNuclearOrganismPlantsProcessProtocols documentationR24Raman Spectrum AnalysisRecoveryResourcesRoboticsScientific Advances and AccomplishmentsSpectrum AnalysisStressSystemTechniquesTemperatureTestingTransgenic OrganismsWorkbiological researchbiological systemscold temperaturecostembryo membraneepigenomeexperimental studyflygenetic technologyhigh throughput screeningimprovedindividual responseinduced pluripotent stem cellmodel organismmutantnovelnovel strategiesnuclear transferpreservationpreventtool
项目摘要
PROJECT SUMMARY
This proposal seeks to develop a resource for the preservation of the fruit fly, Drosophila melanogaster. This
insect is a foundational model organism for biological research. Over a century of work, an enormous number
of fly strains harboring different mutant alleles or transgenic constructs have been generated. However, one
limitation of working with flies is that there is as yet no practical method for cryopreservation of Drosophila
strains. Conventional methods of vitrifying Drosophila were developed in the early 1990s and were never
widely adopted due to the difficulty in performing the protocols. This is a problem from a practical perspective
since all these strains need to be individually maintained in continuous culture at substantial cost and labor,
and also from a scientific perspective, since in the process of continuous culture mutations can accumulate
and contamination can occur, degrading the value of these resources for future experiments. A novel approach
for cryopreservation of Drosophila is proposed for this R24 resource center. Isolated embryonic nuclei, rather
than intact embryos, will be cryopreserved and then nuclear transplantation via microinjection will be used to
create clones derived from the cryopreserved nuclei. This approach avoids the issues associated with the
impermeability of embryonic membranes that have prevented the use of conventional cryopreservation
approaches that have been used with other organisms. Embryonic nuclei will be cryopreserved using a
naturally inspired approach. Diverse biological systems (plants, insects, etc.) survive dehydration, drought,
freezing temperatures and other stresses through the use of osmolytes. On an applied level, the proposed
investigation has the potential to transform preservation of Drosophila lines by 1) preserving subcellular
components (specifically nuclei) as opposed to embryos; and 2) automating much of the workflow. In the long-
term, the goal of this resource center is to develop a robust and scalable protocol for cryopreservation of
Drosophila, thus reducing the cost and improving the quality of long-term strain maintenance.
项目摘要
这项建议旨在开发一种资源,用于保护果蝇。这
昆虫是生物学研究的基础模式生物。经过世纪的研究,
已经产生了携带不同突变等位基因或转基因构建体的果蝇品系。不过有一
用果蝇进行研究的局限性在于目前还没有一种实用的方法来冷冻保存果蝇
菌株玻璃化冷冻果蝇的传统方法是在20世纪90年代早期开发的,
由于执行协议的困难而被广泛采用。这是一个从实践角度看的问题
由于所有这些菌株都需要花费大量的成本和劳动力单独地维持在连续培养中,
从科学的角度来看,由于在连续培养的过程中,
并且可能发生污染,降低这些资源对于未来实验的价值。一种新的方法
为果蝇的冷冻保存提出了这个R24资源中心。分离的胚胎细胞核,
将被冷冻保存,然后通过显微注射进行核移植,
从冷冻保存的细胞核中产生克隆。这种方法避免了与
阻止常规冷冻保存的胚胎膜的不渗透性
已经被用于其他生物的方法。胚胎细胞核将使用
自然启发的方法。多样的生物系统(植物、昆虫等)在脱水干旱中存活
冷冻温度和其他压力通过使用渗透剂。在应用层面上,建议
研究有可能通过以下方式改变果蝇品系的保存:1)保存亚细胞
与胚胎相反的组件(特别是细胞核);以及2)自动化大部分工作流程。在漫长的-
这个资源中心的目标是开发一个强大的和可扩展的低温保存协议,
果蝇,从而降低了成本,提高了长期菌种维持的质量。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Multiscale, multi-perspective imaging assisted robotic microinjection of 3D biological structures.
- DOI:10.1109/embc46164.2021.9630858
- 发表时间:2021-11
- 期刊:
- 影响因子:0
- 作者:Joshi AS;Alegria AD;Auch B;Khosla K;Mendana JB;Liu K;Bischof J;Gohl DM;Kodandaramaiah SB
- 通讯作者:Kodandaramaiah SB
{{
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 }}
Daryl Gohl其他文献
Daryl Gohl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('Daryl Gohl', 18)}}的其他基金
Development of a novel method for cryopreservation of Drosophila melanogaster
黑腹果蝇冷冻保存新方法的开发
- 批准号:
10393700 - 财政年份:2020
- 资助金额:
$ 59.39万 - 项目类别:
Development of a novel method for cryopreservation of Drosophila melanogaster
黑腹果蝇冷冻保存新方法的开发
- 批准号:
10160982 - 财政年份:2020
- 资助金额:
$ 59.39万 - 项目类别:
Image-guided robot for high-throughput microinjection of Drosophila embryos
用于果蝇胚胎高通量显微注射的图像引导机器人
- 批准号:
9806367 - 财政年份:2019
- 资助金额:
$ 59.39万 - 项目类别:
Identification of the neural circuitry underlying motion vision in Drosophila
果蝇运动视觉神经回路的鉴定
- 批准号:
8403030 - 财政年份:2011
- 资助金额:
$ 59.39万 - 项目类别:
Identification of the neural circuitry underlying motion vision in Drosophila
果蝇运动视觉神经回路的鉴定
- 批准号:
8194816 - 财政年份:2011
- 资助金额:
$ 59.39万 - 项目类别:
Identification of the neural circuitry underlying motion vision in Drosophila
果蝇运动视觉神经回路的鉴定
- 批准号:
7997813 - 财政年份:2011
- 资助金额:
$ 59.39万 - 项目类别:
相似海外基金
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 59.39万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 59.39万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 59.39万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 59.39万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 59.39万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 59.39万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 59.39万 - 项目类别:
Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
- 批准号:
2339310 - 财政年份:2024
- 资助金额:
$ 59.39万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 59.39万 - 项目类别:
Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 59.39万 - 项目类别:
Research Grant