이 작품은 DZNE와 마리 퀴리 국제 재통합 그랜트 (D.C.D.에 322120)에서 기금에 의해 지원 되었다

<ol>
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저자는 공개 없다.

여기 우리는 매우 불용 성 단백질 질량 분석 및 서쪽 blotting에 의해 분석을 위한 RNAi를 받게 되는 선 충 C. 노화에서 집계를 분리 하는 방법을 보고 합니다. 우리는 그 연령에 따라 단백질 집계 방지 proteostasis IIS를 크게 줄임으로써 향상을 보여줍니다. 특정 집계 경향이 단백질 C. 선 충에서 overexpress을 선택 하 여 추가 고유의 단백질 집계를 변조 하는 메커니즘을 해 부 수는.
<p class="j...

단백질 misfolding 및 집계 AD, PD, 루 경화 증 (ALS), frontotemporal 치 매 (FTD), 그리고 많은 다른 같은 여러 신경 퇴행 성 질환의 특징으로 인식 됩니다. 예를 들어, 녹말 체 소에 α-synuclein 어셈블리는 악화 모터 신경에 있는 양식 세포질 집계에 ALS 환자 TDP-43 또는 FUS misfold에 PD 환자의 substantia nigra에 특히 Lewy 몸으로 축적. 각 이러한 신경 퇴행 성 질환, 단백질 항상성 또는 proteostasis를 유지 하는 메커니즘 질병에 따라서 선도 misfolded 단백질의 축적을 방지 하기 위해 실패 합니다.
Proteostasis 세포 기능을 보장 하기 위해 중요 한 이며, 정상적인 조건 하에서 이러한 규제 메커니즘 단단히 단백질 합성, 접는, 그리고 성능 저하의 속도 제어 합니다. 여러 연구 결과 입증 노화, 수 많은 세포와 장기의 단백질 항상성 유지가 점차적으로 손상 된과 나이 proteostasis 네트워크의 생리 적 저하는에 대 한 중요 한 악화 요인 신경 퇴행 성 질병 (참조1,2,3검토). 사실 단백질 품질 관리 및 펼친된 단백질 스트레스 세포 응답 나이 손상 단백질 misfolding 및 집계 노화의 일반적인 결과 수 제안 합니다. 사실, 우리와 다른 증명 단백질 집계는 질병을 제한 하 고 대신는 프로테옴의 일부 세 동물4,,56,7 세제 불용 성 높게 된다 ,8,,910. 계산 그리고 vivo에서 분석 이러한 생리 연령 관련 집계 여러 측면5질병 집계 닮은 밝혔다. 내 인 성, 연령에 따라 단백질 집단의 발견 우리 ectopically 표현된 인간의 질병 관련 단백질을 사용 하지 않고 단백질 집계, 조절 분자 및 세포 메커니즘을 해 부를 기회를 제공 합니다. 현재, 제한 된 정보만 광범위 한 단백질 용해성의 규칙에 대 한 고 생물의 건강에이 dysregulation의 효과 대 한 존재합니다.
선 충 C. 선 충 이 동물 상대적으로 짧은 수명이 있고 더 높은 유기 체에서 관찰 된 많은 특성 에이징 기능을 표시 조사를 노화에서 가장 광범위 하 게 연구 모형 유기 체 중 하나입니다. 용해성 단백질에 노화의 효과 추출 질병 집계 neurodegeneration 연구11의 분야에서 널리 이용 되는 차동 용 해도에 따라 순차 생 화 확 적인 분류에 의해 C. 선 충 에서 연구 . 양이 많은 질량 분석에 의해 몇 백 단백질 집계-경향이 된다 C. 선 충 에 질병5의 부재를 보였다. 여기 우리가 자세히 설명 액체 문화와 서쪽 오 점 하 여 질량 분석 및 분석 하 여 정량화에 대 한 집계 된 단백질을 순차 추출에 벌레의 많은 수를 성장 하는 프로토콜. 집계 하기 쉬운 단백질을 misfolded 세에 축적 하기 때문에 다른 체세포 조직5,,1213에 선 충 C. 생식 선 및 마스크 변경, 우리를 사용 하 여 생식이 돌연변이 단백질 분석 초점 비 생식 조직에 용해성입니다. 제시 하는 방법에는 0.5 %SDS 불용 성 및 상대적으로 낮은 원심 속도 의해 수송과 매우 불용 성, 큰 집계 분석 수 있습니다. 또한 작고 더 녹는 집계 수집 하 덜 엄격한 추출 프로토콜 또는 되었습니다 다른 곳에서10출판. 또한, 집계에서 vivo에서 C. 선 충에 평가 하는 데 사용 하는 방법을 설명 합니다.
전반적으로, RNA 간섭 (RNAi)와 함께에서 이러한 메서드는 연령에 따라 단백질 집계 변조에 관심사의 유전자의 역할을 평가할 수 있다. 이 대 한 우리와 RNAi를 사용 하 여 관심사의 특정 단백질의 분해 없이 젊고 세 벌레에서 추출의 분석을 설명 합니다. 이러한 메서드는 단백질 용해성을 조절 하는 proteostasis 네트워크의 구성 요소를 결정 하는 강력한 도구 이어야 한다. 여러 중재와 같은 감소 인슐린/인슐린 같은 성장 인자 (IGF)을 극적으로 선 충 C. 노화14지연 표시 1 신호 (IIS). 장 수 경로 종종 단백질 품질 관리 메커니즘을 유발 하 고 따라서 이러한 경로 수 적극적으로 영향을 미치는 수 단백질 집단의 속도. 예를 들어, IIS 경로7의 억제에 따라 수명이 긴 동물에 감소 고유의 단백질 집합을 설명합니다.

<table><tbody><tr><td>Fernbach culture flask&amp;nbsp;</td><td>Corning</td><td>4425-2XL</td><td>Pyrex, Capacity 2,800 ml, with 3 baffle indents</td></tr><tr><td>Membrane Screw Cap&amp;nbsp;</td><td>Schott</td><td>1088655</td><td>GL45</td></tr><tr><td>Nutating Mixer</td><td>VWR</td><td>444-0148</td><td></td></tr><tr><td>Separatory funnel</td><td>Nalgene</td><td>4300-1000</td><td>Capacity 1,000 ml</td></tr><tr><td>1 ml syringe&amp;nbsp;</td><td>BD Plastipak</td><td>300013</td><td></td></tr><tr><td>Gray needle, 27 G x &amp;frac12; &quot;, 0.4 mm x 13 mm</td><td>BD Microlance 3</td><td>300635</td><td></td></tr><tr><td>Membrane filters 0.025 &amp;micro;M</td><td>Millipore</td><td>VSWP04700</td><td></td></tr><tr><td>pH strip</td><td>Machery-Nagel</td><td>92110</td><td>pH-Fix 0-14</td></tr><tr><td>Protease Inhibitor Cocktail</td><td>Roche</td><td>4693132001</td><td>Complete Mini EDTA-free tablets&amp;nbsp;</td></tr><tr><td>Octoxynol-9&amp;nbsp;</td><td>Applichem</td><td>A1388</td><td>Triton X-100</td></tr><tr><td>4-Morpholineethanesulfonic acid (MES)</td><td>Sigma-Aldrich</td><td>M1317</td><td></td></tr><tr><td>Nonylphenylpolyethylenglycol</td><td>Applichem</td><td>A1694</td><td>Nonidet P40 (NP40)</td></tr><tr><td>DNaseI</td><td>Roche</td><td>04716728001</td><td>recombinant, RNase free</td></tr><tr><td>RNaseA</td><td>Promega</td><td>A7973</td><td>solution</td></tr><tr><td>Total protein blot staining</td><td>Thermofisher</td><td>S11791</td><td>Sypro Ruby protein blot stain</td></tr><tr><td>Total protein gel staining</td><td>Thermofisher</td><td>S12001</td><td>Sypro Ruby protein gel stain</td></tr><tr><td>TCEP (tris (2-carboxyethyl) phosphine hydrochloride)</td><td>Serva</td><td>36970</td><td></td></tr><tr><td>Iodoacetamide</td><td>Serva</td><td>26710</td><td></td></tr><tr><td>Ammoniumbicarbonate</td><td>Sigma-Aldrich</td><td>09830</td><td></td></tr><tr><td>Sequencing Grade Modified Trypsin</td><td>Promega</td><td>V5111</td><td></td></tr><tr><td>Isobaric tags for relative and absolute quantitation</td><td>Sciex</td><td>4352135</td><td>iTRAQ Reagents Multiplex Kit</td></tr><tr><td>Centrifuge Avanti J-26XP</td><td>Beckmann Coulter</td><td>393126</td><td></td></tr><tr><td>Ultracentrifuge Optima Max-XP</td><td>Beckmann Coulter</td><td>393315</td><td></td></tr><tr><td>Centrifuge 5424R</td><td>Eppendorf</td><td>5404000413</td><td></td></tr><tr><td>Centrifuge 5702</td><td>Eppendorf</td><td>5702000329</td><td></td></tr><tr><td>Centrifuge Megafuge 40R</td><td>Thermo Scientific</td><td>75004518</td><td></td></tr><tr><td>Concentrator Plus</td><td>Eppendorf</td><td>5305000304</td><td>Centrifugal evaporator</td></tr><tr><td>Fluorescent stereo-microscope M165 FC&amp;nbsp;</td><td>Leica</td><td></td><td>With Planapo 2.0x objective</td></tr><tr><td>Dissection microscope</td><td>Leica&amp;nbsp;</td><td></td><td>Leica S6E</td></tr><tr><td>High magnification microscope Zeiss Axio Observer Z1</td><td>Zeiss</td><td></td><td>With PlanAPOCHROMAT 20x objective and Zeiss Axio Cam MRm</td></tr><tr><td>&lt;strong&gt;Software&lt;/strong&gt;</td><td></td><td></td><td></td></tr><tr><td>Image analysis software</td><td>ImageJ</td><td></td><td></td></tr><tr><td>Analysis of mass spectrometry data</td><td>Protein Prospector</td><td></td><td>http://prospector.ucsf.edu/prospector/mshome.htm</td></tr><tr><td>&lt;strong&gt;E.coli strain&lt;/strong&gt;</td><td></td><td></td><td></td></tr><tr><td>OP50</td><td>CGC</td><td></td><td></td></tr><tr><td>&lt;strong&gt;RNAi bacteria&lt;/strong&gt;</td><td></td><td></td><td></td></tr><tr><td>L4440</td><td>Julie Ahringer RNAi library</td><td></td><td></td></tr><tr><td>&lt;strong&gt;&lt;em&gt;C. elegans&lt;/em&gt; mutants&lt;/strong&gt;</td><td></td><td></td><td></td></tr><tr><td>CF2253</td><td>CGC, strain name: EJ1158&amp;nbsp;</td><td></td><td>Genotype: &lt;em&gt;gon-2(q388)&lt;/em&gt;</td></tr><tr><td>&lt;strong&gt;&lt;em&gt;C. elegans&lt;/em&gt; transgenics&lt;/strong&gt;</td><td></td><td></td><td></td></tr><tr><td>DCD214</td><td>Della David&#039;s lab at DZNE T&amp;uuml;bingen</td><td></td><td>Genotype: &lt;em&gt;N2; uqIs24[Pmyo-2::tagrfp::pab-1]&lt;/em&gt;</td></tr><tr><td>DCD215</td><td>Della David&#039;s lab at DZNE T&amp;uuml;bingen</td><td></td><td>Genotype: &lt;em&gt;daf-2(e1370) III; uqIs24[Pmyo-2::tagrfp::pab-1]&lt;/em&gt;</td></tr></tbody></table>

methods to study changes in inherent protein aggregation with age in caenorhabditis elegans

마지막 십 년간에서 Alzheimer의 질병 (광고) 등 파 킨 슨 병 (PD), 신경 장애의 보급은 성장 했다. 이 나이 관련 무질서는이 환자의 두뇌에 있는 fibrillary 구조 단백질의 모양 특징. 일반적으로 수용 성 단백질을 받을 이유는 정확 하 게 집계 프로세스를 제대로 이해 남아 있습니다. 발견 단백질 집계 질병 프로세스에 국한 되지 않습니다 정상적인 노화 과정의 일부 단백질 집계, ectopically를 사용 하지 않고 조절 분자 및 세포 메커니즘의 연구를 활성화 하는 대신 인간의 표현 질병 관련 단백질입니다. 여기는 상호 보완적인 접근 방식을 통해 꼬마 선 충 에서 고유의 단백질 집계를 검토 하는 방법론에 설명 합니다. 첫째, 우리 세 동물을 얻을 나이 동기화 C. 선 충 의 많은 성장 하는 방법을 검토 하 고 우리는 매우 불용 성-큰 집계 분리 하 생 화 확 적인 절차를 제시. 대상된 유전 최저와 함께, 그것은 홍보 또는 양이 많은 질량 분석 어느 포괄적인 분석을 사용 하 여 연령에 따라 단백질 집계 방지에 관심사의 유전자의 역할을 해 부 수 또는 후보-기반 항 체와 분석입니다. 이러한 결과 다음 형광 태그 집계 하기 쉬운 단백질을 표현 하는 유전자 변형 동물 vivo에서 분석에 의해 확인 됩니다. 이러한 메서드는 특정 단백질은 나 이와 함께 집계 및 궁극적으로 완전 한 기능이 단백질을 유지 하는 방법 하는 경향이 이유를 명확히 하는 데 도움이 됩니다.

우리가 사용 하는 방법 여기 어떻게 수명이 긴 동물을 평가 하 여 감소 IIS 변조 연령에 따라 단백질 집계. 서쪽으로 오 점 (단계를 참조 하십시오 2.2, 빨리 서쪽 오 점 분석에 대 한 불용 성 단백질 추출), 우리는 총 영 (성년의 날 3)의 불용 성 단백질 함량을 분석 (성년의 날 18) 웜 제어 RNAi와 RNAi는 인슐린을 대상으로 세 / IGF-1-같은 수용 체 daf-2. RNAi 조건 (<strong class="xfi...

Watch this Scientific Journal Video about Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans at JoVE.com

Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans

꼬마 선 충 나이 연구 변화 내재 단백질 집계에 방법

여기에 제시 된 방법의 목표는 단백질 집계 모델 유기 체 C. 선 충에서 정상적인 노화 과정을 탐구. 프로토콜 나이 형성 하는 매우 불용 성 큰 집계를 공부 하 고 proteostasis에 변화 단백질 집계에 미치는 영향을 결정 하는 강력한 도구를 나타냅니다.

In the last decades, the prevalence of neurodegenerative disorders, such as Alzheimer's disease (AD) and Parkinson's disease (PD), has grown. These ...

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Universidad de Cartagena UDEC

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JoVE Journal

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Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans

8.4K 조회수.  German Center for Neurodegenerative Diseases (DZNE). 여기에 제시 된 방법의 목표는 단백질 집계 모델 유기 체 C. 선 충에서 정상적인 노화 과정을 탐구. 프로토콜 나이 형성 하는 매우 불용 성 큰 집계를 공부 하 고 proteostasis에 변화 단백질 집계에 미치는 영향을 결정 하는 강력한 도구를 나타냅니다.

비디오: Methods to Study Changes in Inherent Protein Aggregation with Age in Caenorhabditis elegans

Characterization of Amyloid Structures in Aging C. Elegans Using Fluorescence Lifetime Imaging

Amyloid fibrils are associated with a number of neurodegenerative diseases such as Huntington&#39;s, Parkinson&#39;s, or Alzheimer&#39;s disease. These amyloid fibrils can sequester endogenous metastable proteins as well as components of the proteostasis network (PN) and thereby exacerbate protein misfolding in the cell. There are a limited number of tools available to assess the aggregation process of amyloid proteins within an animal. We present a protocol for fluorescence lifetime microscopy (FLIM) that allows monitoring as well as quantification of the amyloid fibrilization in specific cells, such as neurons, in a noninvasive manner and with the progression of aging and upon perturbation of the PN. FLIM is independent of the expression levels of the fluorophore and enables an analysis of the aggregation process without any further staining or bleaching. Fluorophores are quenched when they are in close vicinity of amyloid structures, which results in a decrease of the fluorescence lifetime. The quenching directly correlates with the aggregation of the amyloid protein. FLIM is a versatile technique that can be applied to compare the fibrilization process of different amyloid proteins, environmental stimuli, or genetic backgrounds in vivo in a non-invasive manner.

Characterization of Amyloid Structures in Aging C. Elegans Using Fluorescence Lifetime Imaging

Fluorescence lifetime imaging monitors, quantifies and distinguishes the aggregation tendencies of proteins in living, aging, and stressed C. elegans disease models.

형광 일생 화상 진찰을 사용하여 노화 C. Elegans에 있는 아밀로이드 구조물의 특성화

Amyloid fibrils are associated with a number of neurodegenerative diseases such as Huntington&#39;s, Parkinson&#39;s, or Alzheimer&#39;s disease. These ...

연구

생화학

Monitoring Protein Aggregation Kinetics In Vivo using Automated Inclusion Counting in Caenorhabditis elegans

Protein aggregation into insoluble inclusions is a hallmark of a variety of human diseases, many of which are age-related. The nematode Caenorhabditis elegans is a well-established model organism that has been widely used in the field to study protein aggregation and toxicity. Its optical transparency enables the direct visualization of protein aggregation by fluorescence microscopy. Moreover, the fast reproductive cycle and short lifespan make the nematode a suitable model to screen for genes and molecules that modulate this process.
However, the quantification of aggregate load in living animals is poorly standardized, typically performed by manual inclusion counting under a fluorescence dissection microscope at a single time point. This approach can result in high variability between observers and limits the understanding of the aggregation process. In contrast, amyloid-like protein aggregation in vitro is routinely monitored by thioflavin T fluorescence in a highly quantitative and time-resolved fashion.
Here, an analogous method is presented for the unbiased analysis of aggregation kinetics in living C. elegans, using a high-throughput confocal microscope combined with custom-made image analysis and data fitting. The applicability of this method is demonstrated by monitoring inclusion formation of a fluorescently labeled polyglutamine (polyQ) protein in the body wall muscle cells. The image analysis workflow allows the determination of the numbers of inclusions at different timepoints, which are fitted to a mathematical model based on independent nucleation events in individual muscle cells. The method described here may prove useful to assess the effects of proteostasis factors and potential therapeutics for protein aggregation diseases in a living animal in a robust and quantitative manner.

Monitoring Protein Aggregation Kinetics In Vivo using Automated Inclusion Counting in Caenorhabditis elegans

Here, a method is presented for the analysis of protein aggregation kinetics in the nematode Caenorhabditis elegans. Animals from an age-synchronized population are imaged at different time points, followed by semiautomated inclusion counting in CellProfiler and fitting to a mathematical model in AmyloFit.

Caenorhabditis elegans에서 자동 포함 계수를 사용하여 생체 내에서 단백질 응집 동역학 모니터링

Protein aggregation into insoluble inclusions is a hallmark of a variety of human diseases, many of which are age-related. The nematode Caenorhabditis ...

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Caenorhabditis elegans is a well-established animal model in biomedical research, widely employed in functional genomics and ageing studies. To assess the health and fitness of the animals under study, one typically relies on motility readouts, such as the measurement of the number of body bends or the speed of movement. These measurements usually involve manual counting, making it challenging to obtain good statistical significance, as time and labor constraints often limit the number of animals in each experiment to 25 or less. Since high statistical power is necessary to obtain reproducible results and limit false positive and negative results when weak phenotypic effects are investigated, efforts have recently been made to develop automated protocols focused on increasing the sensitivity of motility detection and multi-parametric behavioral profiling. In order to extend the limit of detection to the level needed to capture the small phenotypic changes that are often crucial in genetic studies and drug discovery, we describe here a technological development that enables the study of up to 5,000 individual animals simultaneously, increasing the statistical power of the measurements by about 1,000-fold compared to manual assays and about 100-fold compared to other available automated methods.

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

We describe protocols for using the wide field-of-view nematode tracking platform (WF-NTP), which enables high-throughput phenotypic characterization of large populations of Caenorhabditis elegans. These protocols can be used to characterize subtle behavioral changes in mutant strains or in response to pharmacological treatment in a highly scalable fashion.

자동화 된 행동 분석의 큰 C. 선 충 인구 넓은 시야의 사용 하 여 추적 플랫폼

Caenorhabditis elegans is a well-established animal model in biomedical research, widely employed in functional genomics and ageing studies. To assess the ...

면역학 및 감염병학

Using Caenorhabditis elegans as a Model System to Study Protein Homeostasis in a Multicellular Organism

The folding and assembly of proteins is essential for protein function, the long-term health of the cell, and longevity of the organism. Historically, the function and regulation of protein folding was studied in vitro, in isolated tissue culture cells and in unicellular organisms. Recent studies have uncovered links between protein homeostasis (proteostasis), metabolism, development, aging, and temperature-sensing. These findings have led to the development of new tools for monitoring protein folding in the model metazoan organism Caenorhabditis elegans. In our laboratory, we combine behavioral assays, imaging and biochemical approaches using temperature-sensitive or naturally occurring metastable proteins as sensors of the folding environment to monitor protein misfolding. Behavioral assays that are associated with the misfolding of a specific protein provide a simple and powerful readout for protein folding, allowing for the fast screening of genes and conditions that modulate folding. Likewise, such misfolding can be associated with protein mislocalization in the cell. Monitoring protein localization can, therefore, highlight changes in cellular folding capacity occurring in different tissues, at various stages of development and in the face of changing conditions. Finally, using biochemical tools ex vivo, we can directly monitor protein stability and conformation. Thus, by combining behavioral assays, imaging and biochemical techniques, we are able to monitor protein misfolding at the resolution of the organism, the cell, and the protein, respectively.

Using Caenorhabditis elegans as a Model System to Study Protein Homeostasis in a Multicellular Organism

To study the relationship between protein homeostasis, stress and aging, we monitored changes in protein folding by following protein dysfunction, protein localization in the cell and protein stability at the organismal, cellular and protein levels, using the genetically tractable metazoan Caenorhabditis elegans as a model system.

사용<em&gt; 예쁜 꼬마 선충</em&gt; 다세포 생물의 단백질 항상성을 연구하는 모델 시스템으로

The folding and assembly of proteins is essential for protein function, the long-term health of the cell, and longevity of the organism. Historically, the ...

생물학

Caenorhabditis elegans as a Model System for Discovering Bioactive Compounds Against Polyglutamine-Mediated Neurotoxicity

Age-related misfolding and aggregation of pathogenic proteins are responsible for several neurodegenerative diseases. For example, Huntington&#39;s disease (HD) is principally driven by a CAG nucleotide repeat that encodes an expanded glutamine tract in huntingtin protein. Thus, the inhibition of polyglutamine (polyQ) aggregation and, in particular, aggregation-associated neurotoxicity is a useful strategy for the prevention of HD and other polyQ-associated conditions. This paper introduces generalized experimental protocols to assess the neuroprotective capacity of test compounds against HD using established polyQ transgenic Caenorhabditis elegans models. The AM141 strain is chosen for the polyQ aggregation assay as an age-associated phenotype of discrete fluorescent aggregates can be easily observed in its body wall at the adult stage due to muscle-specific expression of polyQ::YFP fusion proteins. In contrast, the HA759 model with strong expression of polyQ-expanded tracts in ASH neurons is used to examine neuronal death and chemoavoidance behavior. To comprehensively evaluate the neuroprotective capacity of target compounds, the above test results are ultimately presented as a radar chart with profiling of multiple phenotypes in a manner of direct comparison and direct viewing.

Caenorhabditis elegans as a Model System for Discovering Bioactive Compounds Against Polyglutamine-Mediated Neurotoxicity

Here, we present a protocol to assess the neuroprotective activities of test compounds in Caenorhabditis elegans, including polyglutamine aggregation, neuronal death, and chemoavoidance behavior, as well as an exemplary integration of multiple phenotypes.

Caenorhabditis elegans는 Polyglutamine-mediated Neurotoxicity에 대한 생리 활성 화합물을 발견하기위한 모델 시스템으로서의

Age-related misfolding and aggregation of pathogenic proteins are responsible for several neurodegenerative diseases. For example, Huntington&#39;s ...

신경과학

Quantifying Tissue-Specific Proteostatic Decline in Caenorhabditis elegans

The ability to maintain proper function and folding of the proteome (protein homeostasis) declines during normal aging, facilitating the onset of a growing number of age-associated diseases. For instance, proteins with polyglutamine expansions are prone to aggregation, as exemplified with the huntingtin protein and concomitant onset of Huntington&#8217;s disease. The age-associated deterioration of the proteome has been widely studied through the use of transgenic Caenorhabditis elegans expressing polyQ repeats fused to a yellow fluorescent protein (YFP). This polyQ::YFP transgenic animal model facilitates the direct quantification of the age-associated decline of the proteome through imaging the progressive formation of fluorescent foci (i.e., protein aggregates) and subsequent onset of locomotion defects that develop as a result of the collapse of the proteome. Further, the expression of the polyQ::YFP transgene can be driven by tissue-specific promoters, allowing the assessment of proteostasis across tissues in the context of an intact multicellular organism. This model is highly amenable to genetic analysis, thus providing an approach to quantify aging that is complementary to lifespan assays. We describe how to accurately measure polyQ::YFP foci formation within either neurons or body wall muscle during aging, and the subsequent onset of behavioral defects. Next, we highlight how these approaches can be adapted for higher throughput, and potential future applications using other emerging strategies for C. elegans genetic analysis.

Quantifying Tissue-Specific Proteostatic Decline in Caenorhabditis elegans

Proteostatic decline is a hallmark of aging, facilitating the onset of neurodegenerative diseases. We outline a protocol to quantifiably measure proteostasis in two different Caenorhabditis elegans tissues through heterologous expression of polyglutamine repeats fused to a fluorescent reporter. This model allows rapid in vivo genetic analysis of proteostasis.

Caenorhabditis 예인단에서 조직 특정 전립선 성 감소를 정량화

The ability to maintain proper function and folding of the proteome (protein homeostasis) declines during normal aging, facilitating the onset of a ...

Modeling Age-Associated Neurodegenerative Diseases in Caenorhabditis elegans

Battling human neurodegenerative pathologies and managing their pervasive socioeconomic impact is becoming a global priority. Notwithstanding their detrimental effects on the human life quality and the healthcare system, the majority of human neurodegenerative disorders still remain incurable and non-preventable. Therefore, the development of novel therapeutic interventions against such maladies is becoming a pressing urgency. Age-associated deterioration of neuronal circuits and function is evolutionarily conserved in organisms as diverse as the lowly worm Caenorhabditis elegans and humans, signifying similarities in the underlying cellular and molecular mechanisms. C. elegans is a highly malleable genetic model, which offers a well-characterized nervous system, body transparency and a diverse repertoire of genetic and imaging techniques to assess neuronal activity and quality control during ageing. Here, we introduce and describe methodologies utilizing some versatile nematode models, including hyperactivated ion channel-induced necrosis (e.g., deg-3(d) and mec-4(d)) and protein aggregate (e.g., &#945;-syunclein and poly-glutamate)-induced neurotoxicity, to monitor and dissect the cellular and molecular underpinnings of age-related neuronal breakdown. A combination of these animal neurodegeneration models, together with genetic and pharmacological screens for cell death modulators will lead to an unprecedented understanding of age-related breakdown of neuronal function and will provide critical insights with broad relevance to human health and quality of life.

Modeling Age-Associated Neurodegenerative Diseases in Caenorhabditis elegans

Here, we introduce and describe widely accessible methodologies utilizing some versatile nematode models, including hyperactivated ion channel-induced necrosis and protein aggregate-induced neurotoxicity, to monitor and dissect the cellular and molecular underpinnings of age-associated neurodegenerative diseases.

카노르하비티스 예르간에서 노화와 관련된 신경 퇴행성 질환 모델링

Battling human neurodegenerative pathologies and managing their pervasive socioeconomic impact is becoming a global priority. Notwithstanding their ...

Assessment of de novo Protein Synthesis Rates in Caenorhabditis elegans

Maintaining a healthy proteome is essential for cell and organismal homeostasis. Perturbation of the balance between protein translational control and degradation instigates a multitude of age-related diseases. Decline of proteostasis quality control mechanisms is a hallmark of ageing. Biochemical methods to detect de novo protein synthesis are still limited, have several disadvantages and cannot be performed in live cells or animals. Caenorhabditis elegans, being transparent and easily genetically modified, is an excellent model to monitor protein synthesis rates by using imaging techniques. Here, we introduce and describe a method to measure de novo protein synthesis in vivo utilizing fluorescence recovery after photobleaching (FRAP). Transgenic animals expressing fluorescent proteins in specific cells or tissues are irradiated by a powerful light source resulting in fluorescence photobleaching. In turn, assessment of fluorescence recovery signifies new protein synthesis in cells and/or tissues of interest. Hence, the combination of transgenic nematodes, genetic and/or pharmacological interventions together with live imaging of protein synthesis rates can shed light on mechanisms mediating age-dependent proteostasis collapse.

Assessment of de novo Protein Synthesis Rates in Caenorhabditis elegans

Here, we introduce and describe a nonradioactive and noninvasive method to assess de novo protein synthesis in vivo, utilizing the nematode Caenorhabditis elegans and fluorescence recovery after photobleaching (FRAP). This method can be combined with genetic and/or pharmacological screens to identify novel modulators of protein synthesis.

Caenorhabditis elegans에서 드 노보 단백질 합성 비율의 평가

Maintaining a healthy proteome is essential for cell and organismal homeostasis. Perturbation of the balance between protein translational control and ...

Quantification of Insoluble Protein Aggregation in Caenorhabditis elegans during Aging with a Novel Data-Independent Acquisition Workflow

We and others have shown that the aging process results in a proteome-wide accumulation of insoluble proteins. Knocking down genes encoding the insoluble proteins over 40% of the time results in an extension of the lifespan in C. elegans, suggesting that many of these proteins are key determinants of the aging process. Isolation and quantitative identification of these insoluble proteins are crucial to understand key biological processes that occur during aging. Here, we present a modified and improved protocol that details how to extract and isolate the SDS-insoluble proteins (insolublome) from C. elegans more efficiently to streamline mass spectrometric workflows via a novel label-free quantitative proteomics analysis. This improved protocol utilizes a highly efficient sonicator for worm lysis that greatly increases efficiency for protein extraction and allows us to use significantly less starting material (approximately 3,000 worms) than in previous protocols (typically using at least 40,000 worms). Subsequent quantitative proteomic analysis of the insolublome was performed using data-dependent acquisition (DDA) for protein discovery and identification and data-independent acquisition (DIA) for comprehensive and more accurate protein quantification. Bioinformatic analysis of quantified proteins provides potential candidates that can be easily followed up with other molecular methods in C. elegans. With this workflow, we routinely identify more than 1000 proteins and quantify more than 500 proteins. This new protocol enables efficient compound screening with C. elegans. Here, we validated and applied this improved protocol to wild-type C. elegans N2-Bristol strain and confirmed that aged day-10 N2 worms showed greater accumulation of the insolublome than day-2 young worms.

Quantification of Insoluble Protein Aggregation in Caenorhabditis elegans during Aging with a Novel Data-Independent Acquisition Workflow

This novel workflow efficiently extracts and isolates SDS-insoluble proteins (insolublome) from Caenorhabditis elegans with minimal starting material for quantitative differential proteomic analysis. The protocol uses a comprehensive data-independent acquisition mass spectrometry analysis to quantify the insolublome and bioinformatic analysis to gain biological insights into aging mechanisms and pathologies.

We and others have shown that the aging process results in a proteome-wide accumulation of insoluble proteins. Knocking down genes encoding the insoluble ...

Automating Aggregate Quantification in Caenorhabditis elegans

A rise in the prevalence of neurodegenerative protein conformational diseases (PCDs) has fostered a great interest in this subject over the years. This increased attention has called for the diversification and improvement of animal models capable of reproducing disease phenotypes observed in humans with PCDs. Though murine models have proven invaluable, they are expensive and are associated with laborious, low-throughput methods. Use of the Caenorhabditis elegans nematode model to study PCDs has been justified by its relative ease of maintenance, low cost, and rapid generation time, which allow for high-throughput applications. Additionally, high conservation between the C. elegans and human genomes makes this model an invaluable discovery tool. Nematodes that express fluorescently tagged tissue-specific polyglutamine (polyQ) tracts exhibit age- and polyQ length-dependent aggregation characterized by fluorescent foci. Such reporters are often employed as proxies to monitor changes in proteostasis across tissues. Manual aggregate quantification is time-consuming, limiting experimental throughput. Furthermore, manual foci quantification can introduce bias, as aggregate identification can be highly subjective. Herein, a protocol consisting of worm culturing, image acquisition, and data processing was standardized to support high-throughput aggregate quantification using C. elegans that express intestine-specific polyQ. By implementing a C. elegans-based image processing pipeline using CellProfiler, an image analysis software, this method has been optimized to separate and identify individual worms and enumerate their respective aggregates. Though the concept of automation is not entirely unique, the need to standardize such procedures for reproducibility, elimination of bias from manual counting, and increase throughput is high. It is anticipated that these methods can drastically simplify the screening process of large bacterial, genomic, or drug libraries using the C. elegans model.

Automating Aggregate Quantification in Caenorhabditis elegans

The following protocol describes the development and optimization of a high-throughput workflow for worm culturing, fluorescence imaging, and automated image processing to quantify polyglutamine aggregates as an assessment of changes in proteostasis.

Caenorhabditis elegans의 집계 정량화 자동화

A rise in the prevalence of neurodegenerative protein conformational diseases (PCDs) has fostered a great interest in this subject over the years. This ...

꼬마 선 충 나이 연구 변화 내재 단백질 집계에 방법

요약

더 많은 비디오 탐색

이 비디오의 챕터

형광 일생 화상 진찰을 사용하여 노화 C. Elegans에 있는 아밀로이드 구조물의 특성화

Caenorhabditis elegans에서 자동 포함 계수를 사용하여 생체 내에서 단백질 응집 동역학 모니터링

자동화 된 행동 분석의 큰 C. 선 충 인구 넓은 시야의 사용 하 여 추적 플랫폼

사용

Caenorhabditis elegans는 Polyglutamine-mediated Neurotoxicity에 대한 생리 활성 화합물을 발견하기위한 모델 시스템으로서의

Caenorhabditis 예인단에서 조직 특정 전립선 성 감소를 정량화

카노르하비티스 예르간에서 노화와 관련된 신경 퇴행성 질환 모델링

Caenorhabditis elegans에서 드 노보 단백질 합성 비율의 평가

Quantification of Insoluble Protein Aggregation in Caenorhabditis elegans during Aging with a Novel Data-Independent Acquisition Workflow

Caenorhabditis elegans의 집계 정량화 자동화