Development of MassSQUIRM to Quantitatively Measure Lysine Methylation

开发 MassSQUIRM 定量测量赖氨酸甲基化

基本信息

  • 批准号:
    8529942
  • 负责人:
  • 金额:
    $ 14.47万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-09-01 至 2016-08-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): The methylation of histone lysine residues has been correlated to numerous phenotypes of cancer. Histone lysine residues can have up to three methyls added and each state can have clearly different cellular roles. For years, researchers in epigenetics (including those focused on epigenetic processes in cancer) have used techniques that rely on antibodies or radioactivity to measure the methylation state of a given lysine; however, these are neither comprehensive nor quantitative. What has become an alternative approach to get around these limitations is the direct use of mass spectrometry, but the problem with this approach is that differentially methylated peptides do not ionize the same and CANNOT be directly compared as a measurement of activity. Therefore, the field of cancer epigenetic research and epigenetics as a whole needed a comprehensive method to simultaneously monitor demethylase/methyltransferase reaction intermediates (i.e., different methyl states on a lysine) in a quantitative manner. In 2011, we provided a novel approach for the comprehensive and quantitative measurement of lysine methylation states, which is called MassSQUIRM (Mass Spectrometric Quantitation Using Isotopic Reductive Methylation). MassSQUIRM utilizes the chemical incorporation of isotopically heavy methyl groups on lysines to convert all reaction intermediates (un- and monomethyl) to fully dimethyl lysines (differing only by hydrogen and deuterium - which does not affect ionization properties in mass spectrometry). A comparison of peptide intensities of the mixture of heavy and light species allows for comprehensive (un-, mono- and dimethyl states) quantitation of lysine methylation. We recently published the MassSQUIRM technique, and in this application we outline how we will evaluate it in a cancer relevant context in order to ultimately develop a kit for cancer research. Our overall goal is to provide a MassSQUIRM kit to cancer researchers to assay demethylation and methylation (un-, mono- and dimethylation specifically) of lysine residues in proteins correlated to particular cancer phenotypes. To validate the MassSQUIRM approach for its use in cancer research, we will pursue the following Aims: Aim 1. Determine the general applicability of MassSQUIRM by assaying a panel of histone lysine demethylases and methyltransferases. Aim 2. Evaluate the effectiveness of using MassSQUIRM to assay LSD1 activity from cell lysates. Aim 3. Optimize MassSQUIRM for lysine demethylation screening with a panel of LSD1 inhibitors.
描述(申请人提供):组蛋白赖氨酸残基的甲基化与多种癌症表型有关。组蛋白赖氨酸残基可以添加多达三个甲基,并且每种状态都可以具有明显不同的细胞角色。多年来,表观遗传学的研究人员(包括那些专注于癌症表观遗传过程的研究人员)一直使用依赖抗体或放射性的技术来测量给定赖氨酸的甲基化状态;然而,这些技术既不全面,也不定量。绕过这些限制的另一种方法是直接使用质谱学,但这种方法的问题是,差异甲基化的多肽不会电离相同,也不能作为活性测量的直接比较。因此,癌症表观遗传学研究和整个表观遗传学领域需要一种全面的方法来同时定量地监测脱甲基酶/甲基转移酶反应中间产物(即赖氨酸上的不同甲基化状态)。2011年,我们提供了一种新的方法来全面和定量地测量赖氨酸甲基化状态,称为MassSQUIRM(使用同位素还原甲基化的质谱学定量)。MassSQUIRM利用赖氨酸上同位素重甲基的化学结合,将所有反应中间产物(非甲基和单甲基)转化为全二甲基赖氨酸(仅区别于氢和氢-这不会影响质谱学中的电离性质)。通过比较重物种和轻物种混合物的多肽强度,可以对赖氨酸甲基化进行全面的(非、单甲基和二甲基态)定量。我们最近发表了MassSQUIRM技术,在这项申请中,我们概述了如何在与癌症相关的背景下对其进行评估,以便最终开发一种用于癌症研究的试剂盒。我们的总体目标是为癌症研究人员提供一套MassSQUIRM试剂盒,以检测与特定癌症表型相关的蛋白质中赖氨酸残基的去甲基化和甲基化(特别是非、单甲和双甲基化)。为了验证MassSQUIRM方法在癌症研究中的应用,我们将追求以下目标:目的1.通过分析一组组蛋白赖氨酸去甲基酶和甲基转移酶来确定MassSQUIRM的普遍适用性。目的2.评价MassSQUIRM检测细胞裂解物中LSD1活性的有效性。目的3.用一组LSD1抑制剂对MassSQUIRM进行赖氨酸去甲基化筛选。

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 }}

Alan Tackett其他文献

Alan Tackett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('Alan Tackett', 18)}}的其他基金

Identification of Druggable Targets to Complement Melanoma Therapy
确定可补充黑色素瘤治疗的药物靶点
  • 批准号:
    10163815
  • 财政年份:
    2019
  • 资助金额:
    $ 14.47万
  • 项目类别:
Identification of Druggable Targets to Complement Melanoma Therapy
确定可补充黑色素瘤治疗的药物靶点
  • 批准号:
    10630160
  • 财政年份:
    2019
  • 资助金额:
    $ 14.47万
  • 项目类别:
Identification of Druggable Targets to Complement Melanoma Therapy
确定可补充黑色素瘤治疗的药物靶点
  • 批准号:
    10412077
  • 财政年份:
    2019
  • 资助金额:
    $ 14.47万
  • 项目类别:
Center for Translational Pediatric Research
转化儿科研究中心
  • 批准号:
    10854464
  • 财政年份:
    2017
  • 资助金额:
    $ 14.47万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10669470
  • 财政年份:
    2017
  • 资助金额:
    $ 14.47万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    9983121
  • 财政年份:
    2017
  • 资助金额:
    $ 14.47万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10885884
  • 财政年份:
    2017
  • 资助金额:
    $ 14.47万
  • 项目类别:
Administrative Core
行政核心
  • 批准号:
    10669289
  • 财政年份:
    2017
  • 资助金额:
    $ 14.47万
  • 项目类别:
Center for Translational Pediatric Research (CTPR)
转化儿科研究中心 (CTPR)
  • 批准号:
    10380963
  • 财政年份:
    2017
  • 资助金额:
    $ 14.47万
  • 项目类别:
Center for Translational Pediatric Research (CTPR): Enhancing SARS-CoV-2 Sequencing Efforts for Variants in the State of Arkansas
转化儿科研究中心 (CTPR):加强阿肯色州 SARS-CoV-2 变异体的测序工作
  • 批准号:
    10595406
  • 财政年份:
    2017
  • 资助金额:
    $ 14.47万
  • 项目类别:

相似海外基金

University of Aberdeen and Vertebrate Antibodies Limited KTP 23_24 R1
阿伯丁大学和脊椎动物抗体有限公司 KTP 23_24 R1
  • 批准号:
    10073243
  • 财政年份:
    2024
  • 资助金额:
    $ 14.47万
  • 项目类别:
    Knowledge Transfer Partnership
Role of Natural Antibodies and B1 cells in Fibroproliferative Lung Disease
天然抗体和 B1 细胞在纤维增生性肺病中的作用
  • 批准号:
    10752129
  • 财政年份:
    2024
  • 资助金额:
    $ 14.47万
  • 项目类别:
CAREER: Next-generation protease inhibitor discovery with chemically diversified antibodies
职业:利用化学多样化的抗体发现下一代蛋白酶抑制剂
  • 批准号:
    2339201
  • 财政年份:
    2024
  • 资助金额:
    $ 14.47万
  • 项目类别:
    Continuing Grant
Isolation and characterisation of monoclonal antibodies for the treatment or prevention of antibiotic resistant Acinetobacter baumannii infections
用于治疗或预防抗生素耐药鲍曼不动杆菌感染的单克隆抗体的分离和表征
  • 批准号:
    MR/Y008693/1
  • 财政年份:
    2024
  • 资助金额:
    $ 14.47万
  • 项目类别:
    Research Grant
Discovery of novel nodal antibodies in the central nervous system demyelinating diseases and elucidation of the mechanisms through an optic nerve demyelination model
发现中枢神经系统脱髓鞘疾病中的新型节点抗体并通过视神经脱髓鞘模型阐明其机制
  • 批准号:
    23K14783
  • 财政年份:
    2023
  • 资助金额:
    $ 14.47万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Elucidation of the mechanisms controlling the physicochemical properties and functions of supercharged antibodies and development of their applications
阐明控制超电荷抗体的理化性质和功能的机制及其应用开发
  • 批准号:
    23KJ0394
  • 财政年份:
    2023
  • 资助金额:
    $ 14.47万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
Developing first-in-class aggregation-specific antibodies for a severe genetic neurological disease
开发针对严重遗传神经系统疾病的一流聚集特异性抗体
  • 批准号:
    10076445
  • 财政年份:
    2023
  • 资助金额:
    $ 14.47万
  • 项目类别:
    Grant for R&D
PLA2G2D Antibodies for Cancer Immunotherapy
用于癌症免疫治疗的 PLA2G2D 抗体
  • 批准号:
    10699504
  • 财政年份:
    2023
  • 资助金额:
    $ 14.47万
  • 项目类别:
Genetic adjuvants to elicit neutralizing antibodies against HIV
基因佐剂可引发抗艾滋病毒中和抗体
  • 批准号:
    10491642
  • 财政年份:
    2023
  • 资助金额:
    $ 14.47万
  • 项目类别:
Novel Immunogens to Elicit Broadly Cross-reactive Antibodies That Target the Hemagglutinin Head Trimer Interface
新型免疫原可引发针对血凝素头三聚体界面的广泛交叉反应抗体
  • 批准号:
    10782567
  • 财政年份:
    2023
  • 资助金额:
    $ 14.47万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了