Biomaterials Dissemination

研究核心1的主要目标是提供和协调基本生物标本的采集，以告知MC-START PSOC提案多个部分的建模方法。综合样品管理是至关重要的，以便允许样品在相互关联的研究项目之间流动，特别是在多个实验室和机构之间。为了开发我们的虚拟肿瘤，我们选择了 集中于少数遗传上确定的癌症系统，这些系统对临床相关治疗剂表现出可预测的反应特征，因此代表了临床上遇到的主要临床表型。实验旨在从最少数量的实验动物中提取最大量的细胞，肿瘤和宿主水平的数据，以最好地告知我们的建模方法并保存 动物和人力资源。标本采集工作的主要重点是Scott Lowe（CSHL，合作研究者RP 4）实验室开发的小鼠白血病和淋巴瘤模型，这些模型将用于在RP 3中生成动物模型，这些动物将用于成像、治疗干预和生物标本采集（血清、肿瘤），并由研究核心1进行管理。然后将生物标本分发给其他项目进行细胞水平（RP 1）和宿主水平（RP 4）分析。衍生的其他样品 将由RP 2提供。在所有情况下，生物数据将用于为每个研究项目中提出的建模方法提供信息。总而言之，生物模型和样本核心（研究核心1）将为所有研究人员提供高质量和统一的生物数据，以在MC-START研究项目的几个迭代周期中为细胞，肿瘤和宿主水平的建模方法提供信息。 研究核心1的具体目标是： 具体目标1：在MC-START内标准化样品处理和储存。 具体目标2：为协调分析提供高质量和均匀的样品

The primary goal of Research Core 1 is to provide and coordinate acquisition of the basic biologic specimens to inform the modeling approaches across multiple part ofthis MC-START PSOC proposal. Integrated sample management is critical in order to allow for sample flow between inter-related research projects, particularly across multiple laboratories and institutions. To develop our virtual tumor, we have chosen to focus on a small number of genetically defined cancer systems which exhibit predictable response profiles to clinically relevant therapeutic agents and therefore represent major clinical phenotypes encountered In the clinic. Experiments are designed to extract a maximum amount of cell, tumor, and host level data from a minimum number of experimental animals both to best inform our modeling approaches and to conserve animal and personnel resources. The main focus of specimen acquisition efforts are murine leukemia and lymphoma models developed in the laboratory of Scott Lowe (CSHL, co-investigator RP4) which will be used to generate animals models in RP3, these animals will be used for imaging, treatment interventions, and biospecimen collection (serum, tumors) and curated by Research Core 1. Biologic specimens will then be disseminated to other projects for cell-level (RP1) and host level (RP4) analysis. Additional samples derived from human samples will be contributed by RP2. in all cases, biologic data will be used to inform the modeling approaches presented in each research project. In summary, the BioModel and Samples Core (Research Core 1) will to provide all investigators with high-quality, and uniform biologic data to inform the cell, tumor, and host-level modeling approaches over several iterative cycles across the MC-START research projects. The specific aims for Research Core 1 are: Specific Aim 1: Standardize Sample Processing and Storage within the MC-START. Specific Aim 2: Provide High-quality and Uniform Samples for Coordinated Analysis