课题基金 / 基金详情

Modeling Antibody-induced Immune Responses by NK cells in Mice and Humans (Resubmission 1)

Modeling Antibody-induced Immune Responses by NK cells in Mice and Humans (Resubmission 1)
模拟小鼠和人类 NK 细胞抗体诱导的免疫反应(重新提交 1)
批准号:
10764466
负责人:
Jayajit Das
金额:
$4.08万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-02-21 至 2023-06-30

项目摘要

项目成果

Jayajit Das的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Project Summary: Natural Killer (NK) cells are lymphocytes of the innate immune system. NK cells defend us by inducing antibody-dependent cell mediated cytotoxicity (ADCC) where NK cells lyse antibody coated virally- infected target cells. Recent experiments showed generation of long-lived “memory-like” NK cells, similar to memory lymphocytes in the adaptive immune system, in mouse and humans challenged by viral infections (such as cytomegalovirus). These memory NK cells generated a more vigorous ADCC response compared to their naïve counterparts which make the memory NK cells an attractive candidate for augmenting monoclonal antibody based immunotherapies against cancer and infectious disease. However, two major issues limit the use of “memory-like” NK cells for such therapies: 1) A rudimentary understanding of mechanisms underlying NK cell-mediated ADCC is lacking; and 2) humans and mice show key differences in the NK cell signaling networks, which regulate ADCC. We address the above challenges by developing computational models with predictive powers for antibody responses induced by NK cell subsets (from naïve to memory) in humans and mice by synergistically combining data-driven and mechanistic in silico models (rooted in statistical physics, nonlinear dynamics, information theory, statistics, and chemical engineering) with single cell mass cytometry by time of flight (CyTOF) and state-of-the-art wet lab experiments in primary NK cells obtained from human subjects and genetically modified mice. The objective of the proposal is to quantitatively characterize mechanisms underlying ADCC in diverse NK cell subsets in humans and mice and then use this quantitative understanding to develop novel mouse models of ADCC that reflect the situation in humans more accurately. We will pursue two aims: Aim 1: Modeling ADCC activity in human naïve and memory NK cell subsets. Aim 2: Modeling ADCC in mouse NK cells. The expected outcome of quantitative characterization of the differences and synergies in mechanisms of ADCC induced by CD16 and CD32 receptors in different NK cell subsets (naïve to memory primary NK cells) (Aim 1) will help us generate improved mouse models that more accurately represent ADCC mediated by human NK cells (Aim 2). This unique framework will provide the scientific community with a mouse model for ADCC that more accurately reflects the situation in humans, a critical asset for pre-clinical development of monoclonal antibody therapeutics for cancer and infectious diseases.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Modeling Antibody-induced Immune Responses by NK cells in Mice and Humans (Resubmission 1)
Modeling Antibody-induced Immune Responses by NK cells in Mice and Humans (Resubmission 1)
Developing a predictive in silico toolkit for modeling NK cell responses against RNA virus infections
Developing a predictive in silico toolkit for modeling NK cell responses against RNA virus infections
海外基金