VJ e HS reconhecem apoio de NIH R01 GM094246 a VJ. HS reconhece fundos de arranque do Clemson University Creative Inquérito Programa e do Centro de Materiais Ópticos Ciência e Engenharia de Tecnologias Clemson University. Este projeto foi também apoiado por uma bolsa de treinamento do Centro Keck para Treinamento Interdisciplinar de Biociências dos Consórcios da Costa do Golfo (NIGMS Grant No. 1 T32GM089657-05) e da Fundação Schissler para Estudos Translacionais de Doenças Humanas Comuns a DD. O conteúdo é exclusivamente da responsabilidade dos autores e não representa necessariamente as opiniões oficiais dos Institutos Nacionais de Saúde.

Todos os autores declaram que não têm interesses financeiros concorrentes com o conteúdo deste artigo.

Neste trabalho, apresenta-se o protocolo para alinhar, calibrar e medir distâncias de interdise com alta precisão usando experimentos FRET de molécula única PIE-MFD. Ao calibrar cuidadosamente todos os parâmetros instrumentais, pode-se aumentar a precisão das distâncias medidas e alcançar a precisão de Angstrom. Para isso, são utilizados vários histogramas multidimensionais para analisar e identificar populações para posterior caracterização. Utilizando o tempo macro médio para verificar a estabilidade d...

Um objetivo fundamental dos estudos de biologia estrutural é desvendar a relação entre a estrutura ea função das máquinas biomoleculares. A primeira impressão visual de biomoléculas ( por exemplo, proteínas e ácidos nucleicos) ocorreu na década de 1950 através do desenvolvimento de cristalografia de raios X 1 , 2 . A cristalografia de raios-X fornece informações estruturais estáticas de alta resolução restritas pela embalagem de cristal. Portanto, a imobilidade inerente dos modelos estruturais de raios X evita a natureza dinâmica das biomoléculas, um fator que afeta a maioria das funções biológicas 3 , 4 , 5 . A ressonância magnética nuclear (RMN) 6 , 7 , 8 proporcionou uma solução alternativa ao problema resolvendo modelos estruturais em soluções aquosas. Uma grande vantagemDe RMN é a sua capacidade de recuperar a natureza dinâmica intrínseca de biomoléculas e conjuntos conformacionais, o que ajuda a esclarecer as relações intrínsecas entre estrutura, dinâmica e função 3 , 4 , 5 . No entanto, a RMN, limitada pelo tamanho da amostra e grandes quantidades de amostra, requer estratégias de rotulagem complexas para sistemas maiores. Portanto, há uma necessidade premente de desenvolver métodos alternativos na biologia estrutural. Historicamente, a transferência de energia de ressonância de Förster (FRET) 9 não assumiu um papel importante na biologia estrutural devido ao equívoco de que o FRET fornece medições de distância de baixa precisão. O objetivo deste protocolo é revisar a capacidade do FRET de determinar distâncias na escala nanométrica, de tal forma que essas distâncias possam ser utilizadas na construção de modelos estruturais de biomoléculas. O primeiro verificador experimentalA dependência da dependência de R - 6 com a eficiência de FRET foi feita por Stryer em 196710, medindo poliprolinas de vários comprimentos como uma &quot;régua espectroscópica&quot;. Um experimento semelhante foi realizado no nível de molécula única em 2005 11 . As moléculas de poliprolina revelaram-se não ideais e, assim, as moléculas de DNA de cadeia dupla foram utilizadas mais tarde 12 . Isto abriu a janela para medidas de distância precisas ea idéia de usar FRET para identificar propriedades estruturais de biomoléculas. FRET é óptima quando a distância interdyte varia de ~ 0,6-1,3 R 0 , onde R 0 é a distância de Förster. Para os fluoróforos típicos utilizados em experiências FRET de molécula única, R0 é ~ 50 Å. Tipicamente, FRET oferece muitas vantagens sobre outros métodos na sua capacidade de resolver e diferenciar as estruturas e dinâmicas emHeterogêneos: (i) Devido à sensibilidade final da fluorescência, as experiências FRET de uma única molécula 13 , 14 , 15 , 16 podem resolver conjuntos heterogêneos contando diretamente e caracterizando simultaneamente as estruturas de seus membros individuais. (Ii) Vias de reação complexas podem ser decifradas diretamente em estudos FRET de molécula única, porque não é necessária sincronização de um conjunto. (Iii) FRET pode acessar uma ampla gama de domínios temporais que abrangem mais de 10 décadas no tempo, cobrindo uma ampla variedade de dinâmicas biologicamente relevantes. (Iv) Experiências de FRET podem ser realizadas em quaisquer condições de solução, in vitro e in vivo . A combinação de FRET com microscopia de fluorescência permite o estudo de estruturas moleculares e interações diretamente em células vivas 15 , 16 , </<html> Sup&gt; 17 , 18 , 19 , mesmo com alta precisão 20 . (V) FRET pode ser aplicado a sistemas de praticamente qualquer tamanho ( por exemplo, oligómeros de poliprolina 21 , 22 , 23 , 24 , Hsp90 25 , transcriptase reversa de HIV 26 e ribossomas 27 ). (Vi) Finalmente, uma rede de distâncias que contém toda a dimensionalidade de biomoléculas poderia ser usada para derivar modelos estruturais de moléculas estáticas ou dinâmicas 18 , 28 , 29 , 30 , 31 , 32 , 33 , 34 ,Ref &quot;&gt; 35 , 36 , 37 . Portanto, a espectroscopia FRET de molécula única pode ser usada para derivar distâncias que são precisas o suficiente para serem usadas para modelagem estrutural restrita à distância 26 . Isto é possível tirando proveito da detecção de fluorescência multiparâmetro 28 , 38 , 39 , 40 , 41 , 42 , que utiliza oito dimensões de informação de fluorescência ( isto é, espectro de excitação, espectro de fluorescência, anisotropia, tempo de vida de fluorescência, rendimento quântico de fluorescência, O tempo macroscópico, as intensidades de fluorescência e a distância entre fluoróforos) para proporcionar precisão e precisão de restrições de distância. Adicionalmente, a excitação intercalada pulsada (PIE) é combinada com MFD(PIE-MFD) 42 para monitorizar a fluorescência do receptor de excitação directo e para seleccionar eventos de molécula única resultantes de amostras contendo uma estequiometria de um dador para um aceitador de 1: 1. Uma configuração PIE-MFD típica usa laser de excitação intercalado de dois impulsos conectado a um corpo de microscópio confocal, onde a detecção de fótons é dividida em quatro canais diferentes em diferentes janelas espectrales e características de polarização. Mais detalhes podem ser encontrados na Figura 1 . É importante notar que o FRET deve ser combinado com métodos computacionais para obter modelos estruturais de tipo atomístico que sejam consistentes com os resultados do FRET 26 , 30 . Não é o objetivo do presente protocolo examinar a metodologia associada para construir modelos estruturais com distâncias derivadas de FRET. No entanto, estas abordagens foram aplicadas em combinação com outras técnicas ( por exemplo, dispersão de raios-X de ângulo pequenoOu ressonância paramagnética eletrônica), dando origem ao campo da biologia estrutural integrativa 43 , 44 , 45 , 46 . O objetivo atual é abrir caminho para a FRET como ferramenta quantitativa na biologia estrutural. Como exemplo, esta metodologia foi utilizada para identificar três estados conformacionais no domínio de ligação ao ligando (LBD) do receptor N-metil-D-aspartato (NMDA). O objetivo final é superar as limitações acima mencionadas e trazer FRET entre os métodos integradores utilizados para a determinação estrutural de biomoléculas, proporcionando distâncias medidas com alta precisão.

<table border="0" cellpadding="0" cellspacing="0" width="672">
	<tbody>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">charcoal</td>
			<td style="width:183px;">Merck KGaA</td>
			<td style="width:119px;">K42964486 320</td>
			<td style="width:167px;"></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">syringe filter</td>
			<td style="width:183px;">Fisherbrand</td>
			<td style="width:119px;">09-719C</td>
			<td>size: 0.20um</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">chambered coverglass</td>
			<td style="width:183px;">Fisher Scientific</td>
			<td align="right" style="width:119px;">155409</td>
			<td>1.5 borosilicate glass, 8 wells</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">microscope cover glass</td>
			<td style="width:183px;">Fisher Scientific</td>
			<td style="width:119px;">063014-9</td>
			<td>size: 24X60-1.5</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Nuclease free water</td>
			<td style="width:183px;">Fisher Scientific</td>
			<td style="width:119px;">148859</td>
			<td>nuclease free</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">tween-20</td>
			<td style="width:183px;">Thermo Scientific</td>
			<td style="width:119px;">28320</td>
			<td>10% solution of Polysorbate 20</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:204px;">acceptor DNA strand (High FRET)</td>
			<td style="width:183px;">Integrated DNA Technologies</td>
			<td style="width:119px;">178124895</td>
			<td>5&#180;-d(CGG CCT ATT TCG GAG TTG TAA ACA GAG AT(Cy5)C GCC TTA AAC GTT CGC CTA GAC TAG TCC AAG TAT TGC)</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:204px;">acceptor DNA strand (Low FRET)</td>
			<td style="width:183px;">Integrated DNA Technologies</td>
			<td style="width:119px;">177956424</td>
			<td>5&#180;-d(CGG CCT ATT TCG GAG TTG TAA ACA GAG ATC GCC TT(Cy5)A AAC GTT CGC CTA GAC TAG TCC AAG TAT TGC)</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:204px;">donor DNA strand</td>
			<td style="width:183px;">Integrated DNA Technologies</td>
			<td style="width:119px;">177951437</td>
			<td>5&#180; -d(GCA ATA CTT GGA CTA GTC TAG GCG AAC GTT TAA GGC GAT CTC TGT TT(Alexa488)A CAA CTC CGA AAT AGG CCG)</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:204px;">DNA strand (No FRET)</td>
			<td style="width:183px;">Integrated DNA Technologies</td>
			<td style="width:119px;"></td>
			<td>5&#180; -d(CGG CCT ATT TCG GAG TTG TAA ACA GAG ATC GCC TTA AAC GTT CGC CTA GAC TAG TCC AAG TAT TGC)</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">thermal cycler</td>
			<td style="width:183px;">Eppendorf</td>
			<td style="width:119px;">E6331000025</td>
			<td>nexus gradient</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:204px;">Alexa Fluor 488 C5&#160;Maleimide</td>
			<td style="width:183px;">Thermo Scientific</td>
			<td style="width:119px;">A10254</td>
			<td>termed cyan-green fluorophore in the manuscript</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:204px;">Alexa Fluor 647 C2&#160;Maleimide</td>
			<td style="width:183px;">Thermo Scientific</td>
			<td style="width:119px;">A20347</td>
			<td>termed far-red fluorophore in the manuscript</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Rhodamine 110</td>
			<td style="width:183px;">Sigma-Aldrich</td>
			<td style="width:119px;">83695-250MG</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Rhodamine 101</td>
			<td style="width:183px;">Sigma-Aldrich</td>
			<td style="width:119px;">83694-500MG</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">LB Broth, Miller</td>
			<td style="width:183px;">Fisher Scientific</td>
			<td style="width:119px;">BP1426</td>
			<td>For culture of E. coli</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Ampicillin</td>
			<td style="width:183px;">Sigma-Aldrich</td>
			<td style="width:119px;">A0166</td>
			<td>Used at 100 ug/ml final concentration in selective LB medium to maintain plasmid selection</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Tetracyline&#160;</td>
			<td style="width:183px;">Calbiochem</td>
			<td style="width:119px;">58346</td>
			<td>Used at 12.5 ug/ml final concentration in selective LB medium to maintain gor (flutathione reductase) mutation in Origami B(DE3) strains to facilitate disulfide bond oxidation</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Kanamycin</td>
			<td style="width:183px;">Fisher Scientific</td>
			<td style="width:119px;">BP906-5</td>
			<td>Used at 15 ug/ml final concentration in selective LB medium to maintain trxB (rhioredoxin reductase) mutation in B(DE3) stains to facilitate disulfide bond oxidation</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:204px;">Origami B(DE3) Competent Cells</td>
			<td style="width:183px;">Millipore</td>
			<td style="width:119px;">70837-3</td>
			<td>Competent E. coli cells for expression of protein with disulfide bridges</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:204px;">Isopropyl-&#946;-D-thiogalactopyranoside (IPTG)</td>
			<td style="width:183px;">Fisher Scientific</td>
			<td style="width:119px;">BP1755</td>
			<td>For induction of E. coli protein expression</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">HiTrap Chelating HP</td>
			<td style="width:183px;">GE Life Sciences</td>
			<td style="width:119px;">17-0409-01</td>
			<td>For Large-scale FPLC Purification of His-tagged protein</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Imidazole</td>
			<td style="width:183px;">Sigma-Aldrich</td>
			<td align="right" style="width:119px;">56749</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Ni-NTA Agarose&#160;</td>
			<td style="width:183px;">Qiagen</td>
			<td align="right" style="width:119px;">30210</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">PD-10 Desalting Column</td>
			<td style="width:183px;">GE Life Sciences</td>
			<td style="width:119px;">17-0851-01</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">AktaPurifier</td>
			<td style="width:183px;">GE Life Sciences</td>
			<td align="right" style="width:119px;">28406264</td>
			<td>FPLC Instrument</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Dialysis tubing</td>
			<td style="width:183px;">Spectrum labs</td>
			<td style="width:119px;">132562</td>
			<td>15 kD MWCO 24 mm Flath width, 10 meters/roll</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:204px;">Dichroics</td>
			<td style="width:183px;">Semrock</td>
			<td style="width:119px;">FF500/646-Di01-25x36</td>
			<td>500/646 BrightLight</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">50/50 Beam splitter polarizer</td>
			<td style="width:183px;">Qioptiq Linos&#160;</td>
			<td style="width:119px;">G33 5743 000</td>
			<td>10x10 film polarizer</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:204px;">Green pass filer</td>
			<td style="width:183px;">Chroma</td>
			<td style="width:119px;">ET525/50m</td>
			<td style="width:167px;">ET525/50m 25 mm diameter mount</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Red pass filter</td>
			<td style="width:183px;">Chroma</td>
			<td>ET720/150m</td>
			<td>ET720/150m 25 mm diameter mount</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Power Meter</td>
			<td style="width:183px;">ThorLabd</td>
			<td style="width:119px;">PM200</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">UV-Vis spectrophotometer</td>
			<td style="width:183px;">Varian</td>
			<td style="width:119px;">Cary300Bio</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Fluorolog 3 fluorometer</td>
			<td style="width:183px;">Horiba</td>
			<td style="width:119px;">FL3-22-R3</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Fluorohub TCSPC controller</td>
			<td style="width:183px;">Horiba</td>
			<td style="width:119px;">Fluorohub-B</td>
			<td>TCSPC electronics for ensemble measurements</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">NanoLed 485L</td>
			<td style="width:183px;">Horiba</td>
			<td style="width:119px;">485L</td>
			<td>Blue diode laser</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">NanoLed 635L</td>
			<td style="width:183px;">Horiba</td>
			<td style="width:119px;">635L</td>
			<td>Red diode laser</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">Olympus IX73 Microscope</td>
			<td style="width:183px;">Olympus</td>
			<td style="width:119px;">IX73P2F</td>
			<td>Microscope frame</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">PMA 40 Hybrid Detector</td>
			<td style="width:183px;">PicoQuant GmbH</td>
			<td style="width:119px;">932200, PMA 40</td>
			<td>Optimized for green detection</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">PMA 50 Hybrid Detector</td>
			<td style="width:183px;">PicoQuant GmbH</td>
			<td style="width:119px;">932201, PMA 50</td>
			<td>Optimized for ed shifter sensitivity</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">485nm laser</td>
			<td style="width:183px;">PicoQuant GmbH</td>
			<td style="width:119px;">LDH-D-C-485</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">640nm laser</td>
			<td style="width:183px;">PicoQuant GmbH</td>
			<td style="width:119px;">LDH-D-C-640</td>
			<td></td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:204px;">Hydraharp 400 and TTTR acqusition software</td>
			<td style="width:183px;">PicoQuant</td>
			<td align="right" style="width:119px;">930021</td>
			<td>Picosecond event timer and Time Correlated Single Photon Coutning Unit, includes TTTR acqusition software</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:204px;">SEPIA II SLM 828 and SEPIA software</td>
			<td style="width:183px;">PicoQuant</td>
			<td align="right" style="width:119px;">910028</td>
			<td>Laser driver for picosecond pulses , includes SEPIA software controller.</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">computer</td>
			<td style="width:183px;">Dell</td>
			<td style="width:119px;">optiplex 7010</td>
			<td>cpu: i7-3770 ram:16GB</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:204px;">FRET Positioning and Screening (FPS) software</td>
			<td style="width:183px;">Heinrich Heine Unviersity</td>
			<td style="width:119px;"></td>
			<td>It include the Accesibel Volume clacualtor available at http://www.mpc.hhu.de/software/fps.html</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:204px;">MFD suite</td>
			<td style="width:183px;">Heinrich Heine Unviersity</td>
			<td style="width:119px;"></td>
			<td>It includes the BIFL software package Paris; Margarita for visualization of the multiparameter hisotrams, and Probability Distribution Analysis software availabel at http://www.mpc.hhu.de/software/software-package.html</td>
		</tr>
	</tbody>
</table>

high precision fret at single-molecule level for biomolecule structure determination

Apresenta-se aqui um protocolo sobre como realizar medições de distância de interdise de alta precisão usando a transferência de energia de ressonância de Förster (FRET) no nível de molécula única no modo de detecção de fluorescência multiparâmetro (MFD). O MFD maximiza o uso de todas as &quot;dimensões&quot; da fluorescência para reduzir os artefatos fotofísicos e experimentais e permite a medição da distância interdye com uma precisão de até 1 Å em biomoléculas rígidas. Este mï¿½odo foi utilizado para identificar trï¿½ estados conformacionais do domï¿½io de ligaï¿½o ao ligando do receptor N-metil-D-aspartato (NMDA) para explicar a activaï¿½o do receptor apï¿½ ligaï¿½o ao ligando. Ao comparar as estruturas cristalográficas conhecidas com medidas experimentais, concordaram em menos de 3 Å para biomoléculas mais dinâmicas. Recolher um conjunto de restrições de distância que cobre toda a dimensionalidade das biomoléculas tornaria possível fornecer um modelo estrutural de biomolécula dinâmicaEs.

Em experiências típicas de smFRET utilizando uma configuração MFD (linhas de laser: 485 nm a 60 μW e 640 nm a 23 μW, secção 5.1), a amostra de fluorescência é diluída para uma concentração de baixo-picomolar (10-12M = 1 pM) e colocada Em um microscópio confocal, onde um pulso de laser de sub-nanossegundo excita moléculas marcadas que se difundem livremente através de um volume de excitação. Um volume confocal típico é &lt;4 femtolitros (fL). Em concentrações tão ba...

Watch this Scientific Journal Video about High Precision FRET at Single-molecule Level for Biomolecule Structure Determination at JoVE.com

High Precision FRET at Single-molecule Level for Biomolecule Structure Determination

Um protocolo para experiências FRET de alta precisão no nível de molécula única é apresentado aqui. Adicionalmente, esta metodologia pode ser utilizada para identificar três estados conformacionais no domínio de ligação ao ligando do receptor N-metil-D-aspartato (NMDA). Determinar distâncias precisas é o primeiro passo para construir modelos estruturais baseados em experimentos FRET.

FRET de alta precisão em nível de molécula única para determinação de estrutura de biomoléculas

A protocol on how to perform high-precision interdye distance measurements using F&#246;rster resonance energy transfer (FRET) at the single-molecule ...

The overall goal of this protocol is to perform high precision inter-dye distance measurements using multi-parameter fluorescence detection of F

high-precision-fret-at-single-molecule-level-for-biomolecule

Research

JoVE Journal

Biochemistry

10.6K visualizações.  Clemson University. The overall goal of this protocol is to perform high precision inter-dye distance measurements using multi-parameter fluorescence detection of F

Vídeo: High Precision FRET at Single-molecule Level for Biomolecule Structure Determination

Structural Information from Single-molecule FRET Experiments Using the Fast Nano-positioning System

Single-molecule F&#246;rster Resonance Energy Transfer (smFRET) can be used to obtain structural information on biomolecular complexes in real-time. Thereby, multiple smFRET measurements are used to localize an unknown dye position inside a protein complex by means of trilateration. In order to obtain quantitative information, the Nano-Positioning System (NPS) uses probabilistic data analysis to combine structural information from X-ray crystallography with single-molecule fluorescence data to calculate not only the most probable position but the complete three-dimensional probability distribution, termed posterior, which indicates the experimental uncertainty. The concept was generalized for the analysis of smFRET networks containing numerous dye molecules. The latest version of NPS, Fast-NPS, features a new algorithm using Bayesian parameter estimation based on Markov Chain Monte Carlo sampling and parallel tempering that allows for the analysis of large smFRET networks in a comparably short time. Moreover, Fast-NPS allows the calculation of the posterior by choosing one of five different models for each dye, that account for the different spatial and orientational behavior exhibited by the dye molecules due to their local environment.
Here we present a detailed protocol for obtaining smFRET data and applying the Fast-NPS. We provide detailed instructions for the acquisition of the three input parameters of Fast-NPS: the smFRET values, as well as the quantum yield and anisotropy of the dye molecules. Recently, the NPS has been used to elucidate the architecture of an archaeal open promotor complex. This data is used to demonstrate the influence of the five different dye models on the posterior distribution.

We present the setup and experimental procedure to obtain smFRET data from large donor-acceptor networks with a TIRF microscope. The step-by-step analysis of these measurements with the Bayesian inference software Fast-NPS yields high-resolved structural information via the application of adapted dye models.

Informação estrutural de uma única molécula de FRET experimentos usando a Nano-posicionamento sistema rápido

Single-molecule F&#246;rster Resonance Energy Transfer (smFRET) can be used to obtain structural information on biomolecular complexes in real-time. ...

Bioquímica

High Throughput, Absolute Determination of the Content of a Selected Protein at Tissue Levels Using Quantitative Dot Blot Analysis (QDB)

Lacking a convenient, quantitative, high throughput immunoblot method for absolute determination of the content of a specific protein at cellular and tissue level significantly hampers the progress in proteomic research. Results derived from currently available immunoblot techniques are also relative, preventing any efforts to combine independent studies with a large-scale analysis of protein samples. In this study, we demonstrate the process of quantitative dot blot analysis (QDB) to achieve absolute quantification in a high throughput format. Using a commercially available protein standard, we are able to determine the absolute content of capping actin protein, gelsolin-like (CAPG) in protein samples prepared from three different mouse tissues (kidney, spleen, and prostate) together with a detailed explanation of the experimental details. We propose the QDB analysis as a convenient, quantitative, high throughput immunoblot method of absolute quantification of individual proteins at the cellular and tissue level. This method will substantially aid biomarker validation and pathway verification in various areas of biological and biomedical research.

High Throughput, Absolute Determination of the Content of a Selected Protein at Tissue Levels Using Quantitative Dot Blot Analysis QDB

Here we demonstrate a detailed process of quantitative dot blot analysis (QDB) by determining the absolute content of a targeted protein, capping actin protein, gelsolin-like (CAPG), in three different mouse tissues. We demonstrate a high throughput, convenient, quantitative immunoblot technique for biomarker validation at the cellular and tissue level.

Alto Throughput, absoluta determinação do conteúdo de uma proteína selecionada em níveis de tecido usando quantitativa Dot Blot Analysis (QDB)

Lacking a convenient, quantitative, high throughput immunoblot method for absolute determination of the content of a specific protein at cellular and ...

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Single-molecule F&#246;rster resonance energy transfer (smFRET) has become a widely used biophysical technique to study the dynamics of biomolecules. For many molecular machines in a cell proteins have to act together&#160;with interaction partners in a functional cycle to fulfill their task. The extension of two-color to multi-color smFRET makes it possible to simultaneously probe more than one interaction or conformational change. This not only adds a new dimension to smFRET experiments but it also offers the unique possibility to directly study the sequence of events and to detect correlated interactions when using an immobilized sample and a total internal reflection fluorescence microscope (TIRFM). Therefore, multi-color smFRET is a versatile tool for studying biomolecular complexes in a quantitative manner and in a previously unachievable detail.
Here, we demonstrate how to overcome the special challenges of multi-color smFRET experiments on proteins. We present detailed protocols for obtaining the data and for extracting kinetic information. This includes trace selection criteria, state separation, and the recovery of state trajectories from the noisy data using a 3D ensemble Hidden Markov Model (HMM). Compared to other methods, the kinetic information is not recovered from dwell time histograms but directly from the HMM. The maximum likelihood framework allows us to critically evaluate the kinetic model and to provide meaningful uncertainties for the rates.
By applying our method to the heat shock protein 90 (Hsp90), we are able to disentangle the nucleotide binding and the global conformational changes of the protein. This allows us to directly observe the cooperativity between the two nucleotide binding pockets of the Hsp90 dimer.

Here, we present a protocol to obtain three-color smFRET data and its analysis with a 3D ensemble Hidden Markov Model. With this approach, scientists can extract kinetic information from complex protein systems, including cooperativity or correlated interactions.

Usando três cores único-molécula FRET para estudar a correlação de interações da proteína

Single-molecule F&#246;rster resonance energy transfer (smFRET) has become a widely used biophysical technique to study the dynamics of biomolecules. For ...

Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level

Cell proteomes are often characterized using electrophoresis assays, where all species of proteins in the cells are non-specifically labeled with a fluorescent dye and are spotted by a photodetector following their separation. Single molecule fluorescence imaging can provide ultrasensitive protein detection with its ability for visualizing individual fluorescent molecules. However, the application of this powerful imaging method to electrophoresis assays is hampered by the lack of ways to characterize the homogeneity of fluorescent labeling of each protein species across the proteome. Here, we developed a method to evaluate the labeling homogeneity across the proteome based on a single molecule fluorescence imaging assay. In our measurement using a HeLa cell sample, the proportion of proteins labeled with at least one dye, which we termed &#8216;labeling occupancy&#8217; (LO), was determined to range from 50% to 90%, supporting the high potential of the application of single molecule imaging to sensitive and precise proteome analysis.

Here, we present a protocol to assess the labeling homogeneity for each protein species in a complex protein sample at the single molecule level.

Quantificação de Proteome-largo de rotulagem homogeneidade a nível da molécula

Cell proteomes are often characterized using electrophoresis assays, where all species of proteins in the cells are non-specifically labeled with a ...

Single-Molecule Dwell-Time Analysis of Restriction Endonuclease-Mediated DNA Cleavage

This novel total internal reflection fluorescence microscopy-based assay facilitates the simultaneous measurement of the length of the catalytic cycle for hundreds of individual restriction endonuclease (REase) molecules in one experiment. This assay does not require protein labeling and can be carried out with a single imaging channel. In addition, the results of multiple individual experiments can be pooled to generate well-populated dwell-time distributions. Analysis of the resulting dwell-time distributions can help elucidate the DNA cleavage mechanism by revealing the presence of kinetic steps that cannot be directly observed. Example data collected using this assay with the well-studied REase, EcoRV - a dimeric Type IIP restriction endonuclease that cleaves the palindromic sequence GAT&#8595;ATC (where &#8595; is the cut site) - are in agreement with prior studies. These results suggest that there are at least three steps in the pathway to DNA cleavage that is initiated by introducing magnesium after EcoRV binds DNA in its absence, with an average rate of 0.17 s-1 for each step.

Using quantum-dot-labeled DNA and total internal reflection fluorescence microscopy, we can investigate the reaction mechanism of restriction endonucleases while using unlabeled protein. This single-molecule technique allows for massively multiplexed observation of individual protein-DNA interactions, and data can be pooled to generate well-populated dwell-time distributions.

Análise de tempo de permanência de molécula única de clivagem de DNA mediada por endonuclease de restrição

This novel total internal reflection fluorescence microscopy-based assay facilitates the simultaneous measurement of the length of the catalytic cycle for ...

Making Precise and Accurate Single-Molecule FRET Measurements using the Open-Source smfBox

The smfBox is a recently developed cost-effective, open-source instrument for single-molecule F&#246;rster Resonance Energy Transfer (smFRET), which makes measurements on freely diffusing biomolecules more accessible. This overview includes a step-by-step protocol for using this instrument to make measurements of precise FRET efficiencies in duplex DNA samples, including details of the sample preparation, instrument setup and alignment, data acquisition, and complete analysis routines. The presented approach, which includes how to determine all the correction factors required for accurate FRET-derived distance measurements, builds on a large body of recent collaborative work across the FRET Community, which aims to establish standard protocols and analysis approaches. This protocol, which is easily adaptable to a range of biomolecular systems, adds to the growing efforts in democratising smFRET for the wider scientific community.

This article provides step-by-step instructions for making fully-corrected accurate FRET measurements on individual, freely diffusing biomolecules using the open-source, inexpensive smfBox, from switch on, through alignment and focusing, to data collection and analysis.

Fazendo medições de FRET de molécula única precisas e precisas usando o smfBox de código aberto

The smfBox is a recently developed cost-effective, open-source instrument for single-molecule F&#246;rster Resonance Energy Transfer (smFRET), which makes ...

The Extraction of Liver Glycogen Molecules for Glycogen Structure Determination

Liver glycogen is a hyperbranched glucose polymer that is involved in the maintenance of blood sugar levels in animals. The properties of glycogen are influenced by its structure. Hence, a suitable extraction method that isolates representative samples of glycogen is crucial to the study of this macromolecule. Compared to other extraction methods, a method that employs a sucrose density gradient centrifugation step can minimize molecular damage. Based on this method, a recent publication describes how the density of the sucrose solution used during centrifugation was varied (30%, 50%, 72.5%) to find the most suitable concentration to extract glycogen particles of a wide variety of sizes, limiting the loss of smaller particles. A 10 min boiling step was introduced to test its ability to denature glycogen degrading enzymes, thus preserving glycogen. The lowest sucrose concentration (30%) and the addition of the boiling step were shown to extract the most representative samples of glycogen.

An optimal sucrose concentration was determined for the extraction of liver glycogen using sucrose density gradient centrifugation. The addition of a 10 min boiling step to inhibit glycogen-degrading enzymes proved beneficial.

A extração de moléculas de glicogênio hepático para determinação da estrutura do glicogênio

Liver glycogen is a hyperbranched glucose polymer that is involved in the maintenance of blood sugar levels in animals. The properties of glycogen are ...

Visualizing the Conformational Dynamics of Membrane Receptors Using Single-Molecule FRET

The ability of cells to respond to external signals is essential for cellular development, growth, and survival. To respond to a signal from the environment, a cell must be able to recognize and process it. This task mainly relies on the function of membrane receptors, whose role is to convert signals into the biochemical language of the cell. G protein-coupled receptors (GPCRs) constitute the largest family of membrane receptor proteins in humans. Among GPCRs, metabotropic glutamate receptors (mGluRs) are a unique subclass that function as obligate dimers and possess a large extracellular domain that contains the ligand-binding site. Recent advances in structural studies of mGluRs have improved the understanding of their activation process. However, the propagation of large-scale conformational changes through mGluRs during activation and modulation is poorly understood. Single-molecule fluorescence resonance energy transfer (smFRET) is a powerful technique to visualize and quantify the structural dynamics of biomolecules at the single-protein level. To visualize the dynamic process of mGluR2 activation, fluorescent conformational sensors based on unnatural amino acid (UAA) incorporation were developed that allowed site-specific protein labeling without perturbation of the native structure of receptors. The protocol described here explains how to perform these experiments, including the novel UAA labeling approach, sample preparation, and smFRET data acquisition and analysis. These strategies are generalizable and can be extended to investigate the conformational dynamics of a variety of membrane proteins.

This study presents a detailed procedure to perform single-molecule fluorescence resonance energy transfer (smFRET) experiments on G protein-coupled receptors (GPCRs) using site-specific labeling via unnatural amino acid (UAA) incorporation. The protocol provides a step-by-step guide for smFRET sample preparation, experiments, and data analysis.

Visualizando a dinâmica conformacional de receptores de membrana usando FRET de molécula única

The ability of cells to respond to external signals is essential for cellular development, growth, and survival. To respond to a signal from the ...

Revestimento de grades CryoEM com grafeno monocamada para melhorar a preparação de amostras criogênicas

Application of Monolayer Graphene to Cryo-Electron Microscopy Grids for High-resolution Structure Determination

In cryogenic electron microscopy (cryoEM), purified macromolecules are applied to a grid bearing a holey carbon foil; the molecules are then blotted to remove excess liquid and rapidly frozen in a roughly 20-100 nm thick layer of vitreous ice, suspended across roughly 1 &#181;m wide foil holes. The resulting sample is imaged using cryogenic transmission electron microscopy, and after image processing using suitable software, near-atomic resolution structures can be determined. Despite cryoEM&#39;s widespread adoption, sample preparation remains a severe bottleneck in cryoEM workflows, with users often encountering challenges related to samples behaving poorly in the suspended vitreous ice. Recently, methods have been developed to modify cryoEM grids with a single continuous layer of graphene, which acts as a support surface that often increases particle density in the imaged area and can reduce interactions between particles and the air-water interface. Here, we provide detailed protocols for the application of graphene to cryoEM grids and for rapidly assessing the relative hydrophilicity of the resulting grids. Additionally, we describe an EM-based method to confirm the presence of graphene by visualizing its characteristic diffraction pattern. Finally, we demonstrate the utility of these graphene supports by rapidly reconstructing a 2.7 &#197; resolution density map of a Cas9 complex using a pure sample at a relatively low concentration.

Autor em destaque: Aprimorando a preparação de amostras CryoEM usando monocamada de grafeno em grades de microscopia 

The application of support layers to cryogenic electron microscopy (cryoEM) grids can increase particle density, limit interactions with the air-water interface, reduce beam-induced motion, and improve the distribution of particle orientations. This paper describes a robust protocol for coating cryoEM grids with a monolayer of graphene for improved cryo-sample preparation.

Aplicação do Grafeno Monocamada em Grades de Microscopia Crio-Eletrônica para Determinação de Estruturas de Alta Resolução

In cryogenic electron microscopy (cryoEM), purified macromolecules are applied to a grid bearing a holey carbon foil; the molecules are then blotted to ...