CORE B- HEART BIOLOGY CORE
核心 B- 心脏生物学核心
基本信息
- 批准号:7526857
- 负责人:
- 金额:$ 36.73万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:
- 资助国家:美国
- 起止时间:至
- 项目状态:未结题
- 来源:
- 关键词:AccountingAcetoneAchievementAcidsAcromionAcuteAdenovirus VectorAdenovirusesAdultAftercareAgingAgitationAirAlamethicinAlexa594AlgorithmsAllelesAmbulatory MonitoringAmplifiersAnesthesia proceduresAnimal ModelAnimalsAnoxiaAnteriorAntibioticsAntibodiesAntibody SpecificityAntigen-Antibody ComplexAntigensAntithymoglobulinAortaApex of the HeartAreaArteriesAspartic AcidAttentionBackBe++ elementBerylliumBindingBiologicalBiological AssayBiological ModelsBiologyBlood Flow VelocityBlood PressureBlood flowBlurBody TemperatureBody WeightBovine Serum AlbuminBreedingBuffersCalciumCalcium SignalingCalcium-Activated Potassium ChannelCaliberCalibrationCarbonyl Cyanide p-TrifluoromethoxyphenylhydrazoneCardiacCardiac MyocytesCardiac OutputCardiomyopathiesCardiovascular systemCarotid ArteriesCaspaseCatheterizationCathetersCationsCaveolinsCell LineCell NucleusCell SeparationCell membraneCellsCentrifugationCerebrumChestChimera organismChimeric ProteinsChronicCircadian RhythmsCloningCollaborationsCollectionColorCommercial SourcesComplexComputer SystemsComputer softwareComputersConditionConfocal MicroscopyConstriction procedureConsumptionContractsContractureCoronary arteryCountCoupledCouplingCreatineCultured CellsCyclosporineCyclosporinsCytochromesCytolysisCytoplasmDNADOCADataData AnalysesData QualityDetectionDevelopmentDevicesDiastoleDiastolic blood pressureDiazoxideDietDiffuseDigestionDigitoninDimensionsDimethylarsinateDiscriminationDissectionDistalDoppler EchocardiographyDoseDurcupanDurcupan ACMDyesEFRACEchocardiographyEgtazic AcidElectrocardiogramElectrodesElectron MicroscopyElectron TransportElementsEmbryoEnsureEquipmentEthanolEvaluationExerciseExercise ToleranceExercise stress testExperimental ModelsFee-for-Service PlansFiberFiber OpticsFigs - 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项目摘要
In our experimental conditions, we are
determining "colocalization" in the resolution limit of light microscopy. In this PPG, the "colocalization" term
will imply that two molecules may share the same microenvironment and/or can be elements of the same set
of macromolecular complexes which are resolved by the optical system. Forexample, two proteins forming part
of two different molecular complexes may show positive "colocalization" tests due to the lack of the optical resolution
to detect each molecular complex. Still, the positive test will indicate that the two proteins are located proximally
within the optical resolution. Thus, in "colocalization" determinations it is critical to achieve the maximal x,y,z
resolution. In this PPG, we will use developed methodologies in the laboratory to achieve the highest resolution
attainable with optical microscopy. We have maximized the optical linearity and the quantity of light recorded by the
detectors in conjunction with image restoration analysis to recover the light lost by the optical imperfections of the
system. This methodology has allowed us to reach a resolution in the x,y plane of about 100-200 nm (see Figs. 1-3).
Definition of "colocalization" and random "colocalization". In a cell labeled with two fluorophores, one red (R)
and one green (G), the number of voxels above threshold that are labeled with the red fluorophore is nRand the
number labeled with the green fluorophore is nG. The number of colocalized voxels, i.e. those voxels containing
intensity signals above threshold from both fluorophores is ncoioc. The percentage of "colocalization" of G with R is
given by 100*^^- (eq. 1); and the percentage of "colocalization" of R with G is given by 100*^^ (eq. 2). In
n* nc
these measurements we will estimate the probability that the measured "colocalization" could occur by chance by
calculating % random "colocalization" from ((area_1x area_2)/total areaA2) x100, where area_1 and area_2 are the
areas above threshold (eq. 3).
The "colocalization" method is generally based on the user ability to set the intensity threshold, and has the major
draw back of the lack of a mathematical model to adjust the threshold of both images that will define the degree of
paired pixel overlap. Most importantly the pixel overlap method has the limitation of being a binary test that
determines whether the two paired pixels in two images have or not intensities above the intensity threshold and does
not consider whether the two stained proteins have a landscape of intensity staining with a high degree of correlation,
as it would be expected if they are elements of a common complex. The application of a correlation measurement
was recently described by Li et al. (2004)7.
In the following sections, I will discuss and apply developed algorithms to quantify the degree of protein-protein
association by two methods, the INTENSITY CORRELATION ANALYSIS and the INTENSITY THRESHOLD
"COLOCALIZATION"ANALYSIS.
Intensity correlation analysis. In the present analysis, we acquire high resolution images to compare the
correlation of pixel intensities in equivalent x,y coordinates of paired images from cells double stained for two different
proteins. The prediction is that if two proteins are elements of the same macromolecular complex, the intensity
staining landscape of the two images should have a x,y pixel to pixel positive correlation. On the contrary, if the two
proteins are localized in distinct compartments the result will be a negative correlation. Finally, if the proteins in the
two images are labeled in a diffuse non structured pattern (random), the correlation will tend to 0.
This method is based on the principle that for any set of values the sum of the differences from the mean equal zero,
i.e., ?N(A-a)=0, where a is the mean of the distribution with N values of Al. In the experiment N is the number of
pixels, and A is the intensity for each pixel. If we have two set of values in two arrays 1 and 2 with N pixels per array
having a random distribution of intensities A-,and 6, for arrays 1 and 2 , the sum of the product of their differences will
also tend to zero, thus IN(A-a)(S,-Jb)~0. On the other hand, if the two intensities are positively correlated, the product
will tend to be a positive value (^(Ara)(Brb}>G) and if they are negatively correlated the product will tend to a
negative value (LN(Ara)(Brb)<0).
在我们的实验条件下,我们是
在光学显微镜的分辨率极限中确定“共定位”。在此PPG中,“共定位”术语
将暗示两个分子可能共享相同的微环境和/或可以是同一集的元素
由光学系统解决的大分子复合物的。例如,两个蛋白质形成部分
由于缺乏光学分辨率,两种不同的分子复合物可能显示出阳性的“共定位”测试
检测每个分子复合物。尽管如此,阳性测试仍表明这两种蛋白质位于近端
在光学分辨率中。因此,在“共定位”确定中,达到最大x,y,z至关重要
解决。在此PPG中,我们将使用实验室中开发的方法来实现最高分辨率
可通过光学显微镜完成。我们最大程度地提高了光学线性和由
检测器与图像恢复分析结合使用,以恢复由光学缺陷丢失的光
系统。这种方法使我们能够在约100-200 nm的x,y平面中达到分辨率(见图1-3)。
“共定位”和随机“共定位”的定义。在带有两个荧光团标记的细胞中,一个红色(r)
和一个绿色(g),用红色荧光团标记的阈值高于阈值的体素数为nrand
用绿色荧光团标记的数字为Ng。共定位体素的数量,即那些含有的体素
来自两个荧光团阈值高于阈值的强度信号为NCOIOC。 G与R的“共定位”的百分比为
由100*^^ - (等式1); R与G的“共定位”的百分比由100*^^(等式2)给出。在
n* nc
这些测量结果我们将估计测量的“共定位”可能会偶然发生的概率
计算%随机的“共定位”((区域_1x afore_2)/rate Areaa2)x100,其中abret_1和abreat_2是
高于阈值的区域(等式3)。
“共定位”方法通常基于用户设置强度阈值的能力,并且具有主要
借助缺乏数学模型来调整这两个图像的阈值,以定义的程度
配对的像素重叠。最重要的是,像素重叠方法的局限性是二进制测试
确定两个图像中的两个成对像素是否具有强度高于强度阈值的强度,并且
不要考虑两种染色蛋白是否具有高度相关性的强度染色景观,
正如预期的那样,如果它们是共同复合物的元素。相关测量的应用
最近由Li等人描述。 (2004)7。
在以下各节中,我将讨论并应用开发的算法来量化蛋白质蛋白质的程度
通过两种方法的关联,强度相关分析和强度阈值
“共定位”分析。
强度相关分析。在目前的分析中,我们获得了高分辨率图像以比较
等效X中的像素强度的相关性,来自两个细胞的成对图像的y坐标,两种不同的染色
蛋白质。预测是,如果两种蛋白质是同一大分子复合物的元素,则强度
这两个图像的染色景观应具有x,y像素到像素正相关。相反,如果这两个
蛋白质位于不同的隔间中,结果将是负相关。最后,如果蛋白质中的蛋白质
两个图像以弥漫性非结构化模式(随机)标记,相关性将趋于0。
该方法基于以下原理:对于任何一组值,差异的总和来自平均值相等的零,
即,?n(a-a)= 0,a是n值n值的分布的平均值。在实验中n是
像素,A是每个像素的强度。如果我们在两个数组1和2中有两组值,每个数组的n像素
对于阵列1和2,具有强度A-和6的随机分布,其差异的产物总和将
也倾向于零,因此在(a-a)(s,-jb)〜0中。另一方面,如果两个强度正相关,则该产品
将往往是一个正值(^(ara)(brb}> g),如果它们是负相关的,则产品将趋向于
负值(LN(ARA)(BRB)<0)。
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)
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ENRICO STEFANI其他文献
ENRICO STEFANI的其他文献
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{{ truncateString('ENRICO STEFANI', 18)}}的其他基金
Novel interactions of Slo1 channel and Thromboxane A2 receptor in blood vessels
血管中 Slo1 通道和血栓素 A2 受体的新相互作用
- 批准号:
7851419 - 财政年份:2009
- 资助金额:
$ 36.73万 - 项目类别:
Novel interactions of Slo1 channel and Thromboxane A2 receptor in blood vessels
血管中 Slo1 通道和血栓素 A2 受体的新相互作用
- 批准号:
7695542 - 财政年份:2009
- 资助金额:
$ 36.73万 - 项目类别:
Revealing Cardiovascular Stress Regulation beyond the Diffraction Limit
揭示超越衍射极限的心血管压力调节
- 批准号:
7410118 - 财政年份:2007
- 资助金额:
$ 36.73万 - 项目类别:
Revealing Cardiovascular Stress Regulation beyond the Diffraction Limit
揭示超越衍射极限的心血管压力调节
- 批准号:
7788195 - 财政年份:2007
- 资助金额:
$ 36.73万 - 项目类别:
Revealing Cardiovascular Stress Regulation beyond the Diffraction Limit
揭示超越衍射极限的心血管压力调节
- 批准号:
7251721 - 财政年份:2007
- 资助金额:
$ 36.73万 - 项目类别:
Revealing Cardiovascular Stress Regulation beyond the Diffraction Limit
揭示超越衍射极限的心血管压力调节
- 批准号:
8065410 - 财政年份:2007
- 资助金额:
$ 36.73万 - 项目类别:
Revealing Cardiovascular Stress Regulation beyond the Diffraction Limit
揭示超越衍射极限的心血管压力调节
- 批准号:
7586132 - 财政年份:2007
- 资助金额:
$ 36.73万 - 项目类别:
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