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4 results for “Complex stoichiometry”

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zenodo28/100

Data from: Learning to count: determining the stoichiometry of bio-molecular complexes using fluorescence microscopy and statistical modelling

<p>As stated in the Read Me file:</p> <p>These data and resources are associated with the manuscript:</p> <p><em>Learning to count: determining the stoichiometry of bio-molecular complexes using fluorescence microscopy and statistical modelling</em>, Mersmann et. al., as submitted to biorXiv in July 2020.</p> <p>The raw imaging data relates to Figure 5, S1, S2 and Table S1. The images are fluorescent micrographs displaying immobilised adenovirus particles bound to a monoclonal antibody 9C12.</p> <p>Each experiment folder is numbered, as in Table S1, and appended with the mixing proportion (Fl), as defined in the manuscript. Within each folder there are 6 subfolders, representing samples incubated with different concentrations of 9C12 antibody.</p> <p>Each image is a 3 channel 1024x1024 tif. Channel 1 = 9C12 Alexa Fluor 647. Channel 2 = 9C12 Biotin + QDot655. Channel 3 = Adenovirus Alexa Fluor 488. &nbsp;Samples were illuminated in TIRF mode using a 100X objective, images were captured on a Hamamatsu OCRA Flash 4 sCMOS camera. Further details are available in the header of each file.</p> <p>The control samples are labelled with 100% 9C12 Alexa Fluor 647 or 100% 9C12 Biotin, as described in the manuscript.</p> <p>The data analysis script is an imageJ macro. It runs on the FIJI version of ImageJ with the NanoJ package installed (https://github.com/HenriquesLab). It outputs fluorescent measurements for each identified AdV particle. Note that the script rearranges the channel order such that Channel 1 = Adenovirus Alexa Fluor 488, Channel 2 = 9C12 Alexa Fluor 647, Channel 3 = 9C12 Biotin + QDot655.&nbsp;</p> <p>The channels require registration due to chromatic aberration, this is achieved using the Realign Channels function in NanoJ, appropriate translation masks are provided along with the script.</p> <p>Any question about the data or script should be addressed in Joe Grove (j.grove@ucl.ac.uk)</p>

opencc-by-4.0Jul 2020View details →
geo24/100

Genome-wide maps of primary and processed start-sites of transcripts revealed mechanism controlling in vivo stoichiometry of protein complex in bacteria

GEO Series GSE57652. Ruminiclostridium cellulolyticum. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2015View details →
geo24/100

Post-Translational Dosage Compensation Buffers Genetic Perturbations to Stoichiometry of Protein Complexes

GEO Series GSE85036. Saccharomyces cerevisiae. 8 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenDec 2016View details →
zenodo24/100

STOICHIOMETRY OF THE SODIUM PUMP-PHOSPHOLEMMAN REGULATORY COMPLEX

<p>The sodium-potassium ATPase (NKA) establishes ion gradients that facilitate many physiological processes. In the heart, NKA activity is regulated by its interaction with phospholemman (PLM, FXYD1). Here we used a novel fluorescence lifetime-based assay to investigate the structure, stoichiometry, and affinity of the NKA-PLM regulatory complex. We observed concentration dependent association of the subunits of NKA-PLM regulatory complex, with avid association of the alpha subunit with the essential beta subunit followed by lower affinity alpha-alpha and alpha-PLM interactions. The data provide the first evidence that the regulatory complex is composed of two alpha subunits associated with two beta subunits, decorated with two PLM regulatory subunits in intact cells. Docking and molecular dynamics simulations generated a structural model of the complex that is consistent with our experimental observations. We propose that alpha-alpha subunit interactions support conformational coupling of the catalytic subunits, which may enhance NKA turnover rate. These observations provide insight into the pathophysiology of heart failure, wherein low NKA expression may be insufficient to support formation of the complete regulatory complex with stoichiometry (alpha-beta-PLM)2.</p>

opencc-by-4.0Oct 2021View details →

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