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Identification of high affinity aptamers using massively parallel DNA sequencing

Identification of high affinity aptamers using massively parallel DNA sequencing
使用大规模并行 DNA 测序鉴定高亲和力适体
批准号:
BB/I013245/1
负责人:
Andrew Cossins
金额:
$28.6万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2011
资助国家:
英国
项目状态:
已结题
起止时间:
2011 至 --

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中文摘要
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英文摘要
The vast majority of molecules are far too small to be seen with the unaided eye. In most cases the only way to detect them is with other molecules that fit round them like a key fits round a lock. The human body produces molecules like this called antibodies. When we are invaded by harmful bacteria antibodies stick to them and mark them out for destruction. Many years ago scientists realized that they could use antibodies to detect almost any kind of molecule. This opened the door to a whole range of new technologies in medicine, healthcare and research. DNA is familiar to most people as the molecule that contains the information for living things, but it can also fold into three-dimensional shapes that resemble antibodies. The shape of these structures depends on the sequence of information encoded in the DNA. Twenty years ago scientists speculated that it might be possible to combine the information properties of DNA with its ability to recognize other molecules. In a process that resembles natural selection they mixed many different DNA sequences with a single type of protein molecule. Most of them did not stick, but quite a few did, some of them more tightly than others. The scientists then used the information in DNA to make many copies of the sequences that stuck and mixed this amplified population with the protein again. This time some of the DNA that survived the first round of selection was excluded by sequences that stuck to the protein more tightly. These sequences were discarded while those that stuck were amplified to produce an even more enriched population. After many rounds of selection and amplification only a few sequences remained. The scientists called these surviving sequences aptamers after a Latin word that describes the way that other molecules fit into them like a key fits into a lock. Aptamers have many advantages over antibodies. They are smaller and more robust, and once the information encoded in an aptamer is known large amounts of it can be made inexpensively. With advantages like these it might be thought that aptamers would have supplanted antibodies long ago, but twenty years after their discovery they are still the poor-relation. The problem is that aptamers do not stick to other molecules as tightly as antibodies and recently scientists have found out why. The natural selection process used to identify them not only eliminates sequences that do not stick to the protein at all but also sequences that stick to it less strongly than the strongest. If these weaker sequences are joined to the strongest sequence a new aptamer is produced that sticks to the protein hundreds of times more tightly than the original. Technologies that read the information encoded in DNA are known as sequencing technologies. When aptamers were first discovered twenty years ago it required a great deal of effort to read the sequence of a single aptamer even though it contained less than a hundred bits of information. Now by contrast the entire 3 billion bits of information in the human genome can be read in only a few days. These advances have made it feasible to read the information encoded in all the DNA sequences that bind to a protein and not just the few that bind to it most strongly. This is what we will do in this project. When we have read all the sequences we will assemble them into a vast table using the same computing techniques that scientists use to understand the human genome. This table will tell us how sequences can be linked together to make an aptamer that sticks to molecules as tightly as an antibody. By making aptamers that stick as tightly as antibodies we will break down the barrier that is preventing their other advantages from being used. The will lead to new and improved tests that allow scientists and physicians to detect many different kinds of molecule in the same minute spot of blood, and new drugs that seek out and destroy cancer cells and harmful viruses.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
High-content aptamer-based proteomics.
基于高含量适体的蛋白质组学。
DOI: 10.1016/j.jprot.2011.04.017
发表时间: 2011
期刊: Journal of proteomics
影响因子: 3.3
作者: [Wilson R]
通讯作者: Wilson R
DOI: 10.1371/journal.pone.0100572
发表时间: 2014
期刊: PloS one
影响因子: 3.7
作者: [Wilson R, Bourne C, Chaudhuri RR, Gregory R, Kenny J, Cossins A]
通讯作者: Cossins A
Sensitivity and specificity: twin goals of proteomics assays. Can they be combined?
敏感性和特异性:蛋白质组学检测的双重目标。
DOI: 10.1586/epr.13.7
发表时间: 2013
期刊: Expert review of proteomics
影响因子: 3.4
作者: [Wilson R]
通讯作者: Wilson R
Prioritised expression of stress-related proteins in environmental thermoadaptive responses of animals
  • 批准号:
    NE/N004361/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $80.5万
  • 财政年份:
    2016
  • 负责人:
    Andrew Cossins
  • 依托单位:
Identification of high affinity aptamers using massively parallel DNA sequencing
  • 批准号:
    BB/I012729/2
  • 项目类别:
    Research Grant
  • 资助金额:
    $2.94万
  • 财政年份:
    2012
  • 负责人:
    Andrew Cossins
  • 依托单位:
Evolution of gene expression in response to sexual selection
  • 批准号:
    NE/I014136/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $17.09万
  • 财政年份:
    2011
  • 负责人:
    Andrew Cossins
  • 依托单位:
Identification of high affinity aptamers using massively parallel DNA sequencing
  • 批准号:
    BB/I012729/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $4.74万
  • 财政年份:
    2011
  • 负责人:
    Andrew Cossins
  • 依托单位:
国内基金
海外基金
里氏木霉纤维素酶cbh基因表达系统调控蛋白分析
  • 批准号:
    30670056
  • 项目类别:
    面上项目
  • 资助金额:
    30.0万元
  • 批准年份:
    2006
  • 负责人:
    董志扬
  • 依托单位: