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Septins

Septins are a family of guanine nucleotide-binding proteins that play crucial roles in various cellular processes, such as cytokinesis, vesicle trafficking, and apoptosis.
They form hetero-oligomeric complexes that assemble into filaments and higher-order structures, acting as scaffolds and diffusion barriers within the cell.
Septins are involved in the regulation of cell division, polarity, and migration, and their dysregulation has been implicated in various disease states, including cancer, neurodegenerative disorders, and infectious diseases.
Understanding the complex functions and dynamics of septins is essential for advancing research in these areas and developing potential therapeutic interventions.
Pubcompare.ai's AI-driven platform can enhance the reproducibility and optimization of septin research by facilitating the comparison of protocols, products, and scientific literature, enabling researchers to make more informed decisions and accelerate their investigations.

Most cited protocols related to «Septins»

Primers used to generate fluorescent protein chimeras are listed in Table S1. To make a strain expressing GFP-Cdc11, a plasmid encoding GFP-Cdc11 and containing a NAT-resistant gene was generated. The CDC11 ORF together with 290 bp of 3′UTR sequence (containing the flanking restriction sites for BamHI) was amplified from H99α strain, digested with BamHI and cloned into BamHI-digested and CIP-treated plasmid pCN19 (kindly provided by Connie Nichols from Andrew Alspaugh lab at Duke University). Resulting plasmid pLKB40 expresses GFP-Cdc11 under a constitutive histone promoter. The pLKB40 plasmid was biolistically transformed into strains H99α or KN99a as described previously (Davidson et al., 2000 (link)) and positive clones were screened based on the fluorescent signal. Analogous method was used to generate a GFP-βTub-expressing strain. The β-tubulin-encoding sequence (gene CNAG_01840) together with 260 bp of 3′UTR was amplified, digested with BamHI and ligated into BamHI-digested and CIP-treated pCN19, resulting in pLKB37. Positive clones obtained by biolistic transformation were screened microscopically.
Strains expressing mCherry-tagged septins were generated by replacing the STOP codon of the respective septin-encoding gene with the mCherry-encoding sequence through homologous recombination. A method based on the protocol developed for Saccharomyces cerevisiae (Wach et al., 1997 (link)) and combined with a modified version of the overlap PCR approach used to delete a gene in C. neoformans (Davidson et al., 2000 (link)) was utilized. First, a plasmid containing the mCherry-encoding sequence flanked by a GPD1 terminator and a NEO resistance gene was generated. To this end, a sequence encoding mCherry and GPD1 terminator was amplified from pYH33 (Hsueh et al., 2009 ) with flanking sequences containing restriction sites for XbaI and XhoI. The PCR product was digested with XbaI/XhoI and ligated into XbaI/XhoI-digested pJAF1 (Fraser et al., 2003 (link)) resulting in a plasmid pLKB25. Three DNA fragments that overlap by ~40 bp were generated by PCR: 1.) an ~1 kb region of the sequence immediately upstream of the STOP codon with genomic DNA from the H99α strain as a template, 2.) a sequence containing mCherry and the NEO resistance gene with the pLKB25 as a template and 3). an ~1 kb fragment of the sequence immediately downstream of the STOP codon with genomic DNA from the H99α strain as a template. The three products were combined and used as a template for the overlap PCR. The product of the overlap PCR was introduced into H99α or KN99a strains by biolistic transformation, and the positive transformants were confirmed by PCR and microscopic examination.
Publication 2009
Biolistics Chimera Clone Cells Codon, Terminator Genes Genes, vif Genome Histones Homologous Recombination Homologous Sequences Microscopy Oligonucleotide Primers Plasmids Proteins Recombination, Genetic Saccharomyces cerevisiae Septins Strains Tubulin
Yeast strains used in this study are listed in Table I; construction of strains LSY305 and LSY388 is described below. Standard methods of yeast genetics were used (Guthrie and Fink, 1991 ; Gietz et al., 1992 (link)). Except where noted, cells were grown at 23°C on YM-P rich liquid medium, YPD rich solid medium, or synthetic complete (SC) medium lacking appropriate nutrients as needed to maintain plasmids (Lillie and Pringle, 1980 (link); Guthrie and Fink, 1991 ). All media contained 2% glucose as carbon source. Cells to be examined for GFP fluorescence were grown in the dark to minimize photobleaching.
To synchronize cells as a population of unbudded, G1-phase cells, α factor (Sigma-Aldrich) was added to a final concentration of 30 ng/ml to an exponentially growing culture (∼107 cells/ml), and incubation was continued for 90 min. For Northern blot analyses (see below), cells were collected by centrifugation at 650 g for 5 min at 23°C, resuspended at a similar density in fresh medium without α factor, and incubated further. At intervals, samples were collected by centrifugation at high speed in a table-top centrifuge for 2 min at 23°C, and the pellets were flash frozen in an ethanol/dry ice bath. To investigate the actin dependence of Bud9p localization, Lat A (Molecular Probes) was added to a final concentration of 100 μM from a 20-mM stock solution in DMSO. Lat A (or the same concentration of DMSO alone as a control) was added to the synchronized culture 70 min after the shift back to medium without α factor, and the cells were examined 20 min later. To investigate the septin dependence of Bud9p localization, the α factor–arrested cells were resuspended in fresh medium without α factor that had been prewarmed to 37°C, incubation was continued at 37°C, and cells were examined after 90 min.
To synchronize cells late in the cell cycle using the cdc15-2 temperature-sensitive mutation, a culture growing exponentially at 23°C was shifted to 37°C and incubated for 3 to 4 h, at which point ∼98% of the cells had large buds. To release cells from the arrest, they were collected by centrifugation at 650 g for 5 min and resuspended in fresh medium at 23°C.
Plasmids used in this study are listed in Table II and/or described in the Supplemental materials and methods (available at http://www.jcb.org/cgi/content/full/jcb.200107041/DC1). Escherichia coli strains DH12S and DH5α (Life Technologies) were used for plasmid maintenance by standard procedures (Sambrook et al., 1989 ). Standard methods of DNA manipulation were used (Sambrook et al., 1989 ; Ausubel et al., 1995 ). PCR was performed using Taq DNA polymerase (Promega). Other enzymes were purchased from New England Biolabs, and oligonucleotide primers (Integrated DNA Technologies) are listed in Table III (Supplemental materials and methods, available at http://www.jcb.org/cgi/content/full/jcb.200107041/DC1). DNA sequencing was performed by the UNC-Chapel Hill Automated DNA Sequencing Facility.
Publication 2002
Actins Bath Carbon Cell Cycle Cells Centrifugation Dry Ice Enzymes Escherichia coli Ethanol Fluorescence Freezing G1 Phase Glucose latrunculin A Molecular Probes Mutation Northern Blotting Nutrients Oligonucleotide Primers Pellets, Drug Plasmids Septins Strains Sulfoxide, Dimethyl Taq Polymerase Yeast, Dried
Indirect immunofluorescence assay (IFA), Western blotting, immunoprecipitation, mass spectrometry, protein microarray, and cell-based transfection assays were used to identify and confirm septin-5 as a target antigen (appendix e-1, links.lww.com/NXI/A55). Testing for previously characterized neural IgGs are also described (appendix e-1). Serum controls tested by IFA (470 total) were 317 healthy controls, 63 patients with cancer without neurologic disease, and 90 with other neurologic diseases (Creutzfeldt-Jakob disease [30], CNS systemic lupus erythematous [10], MS [20], and amyotrophic lateral sclerosis [30]). Sera tested by septin-5 IgG cell-based assay (CBA) were 30 healthy and 17 with ≥1 other paraneoplastic antibodies (anti-Hu, 13; collapsin response mediator protein [CRMP]-5-IgG, 7).
Publication 2018
Amyotrophic Lateral Sclerosis Antibodies Antigens Biological Assay Cells Disease, Creutzfeldt-Jakob Erythema Fluorescent Antibody Technique, Indirect Immunoprecipitation Lupus Vulgaris Malignant Neoplasms Mass Spectrometry Nervousness Nervous System Disorder Patients Protein Microarrays Proteins Semaphorin-3A Septins Serum Transfection
The PRospective Evaluation of SEPTin 9 (PRESEPT)11 was a multicentre US and German study, sponsored by Epigenomics AG, to estimate the ability of mSEPT9 to detect invasive adenocarcinoma of the colorectum in asymptomatic individuals, aged 50 years and older, meeting average risk screening guidelines.12 This ability is measured by the sensitivity; additionally, specificity and predictive values of the assay are important to clinical utility. Secondary endpoints included sensitivity for advanced (clinically significant) adenomas (AA) and for non-advanced (clinically insignificant) adenomas (NA). Statistical design, data management and analysis were performed by an independent statistical centre (Health Studies Section, Division of Environmental Health Sciences, University of Minnesota School of Public Health). Other than the statistical centre, all study personnel were fully masked to subject specific assay results. However, for identification of unforeseen workflow errors, laboratory personnel were given assay result distributions, including frequency of positives, negatives and invalids for comparison with historical values.
Ethics committees in Germany and institutional review boards in the USA approved the study, and all subjects were informed and signed a consent form. An independent Clinical Studies Steering Committee (CSSC) made scientific decisions regarding the study and oversaw operations. mSEPT9 assay results were not disclosed to subjects or their physicians and played no role in clinical care.
The PRESEPT Study, Evaluation of SEPT9 Biomarker Performance for CRC Screening, is registered at ClinicalTrials.gov, Trial Registration ID: NCT00855348.11 The protocol is accessible at https://www.healthstudies.umn.edu/trc/presept/presept_protocol_rev_2.pdf (accessed 5 Jul 2012).
Publication 2013
Adenocarcinoma Adenoma Biological Assay Biological Markers Ethics Committees Ethics Committees, Research Hypersensitivity Laboratory Personnel Physicians Presept Septins
Transfection of K562 and Jurkat cells using inducible Epstein-Barr virus–based replicating shuttle vectors was performed essentially as described elsewhere (Gradin et al., 1998 (link);
Holmfeldt et al., 2007 (link)). For transfection of constructs encoding SEPT6-Flag and SEPT7-Flag, 6–16 μg of the indicated construct was mixed with empty vector up to a total quantity of 16 μg of DNA. Transfections with replicating shuttle vectors directing constitutive expression of shRNAs against septins were performed by mixing 2 μg of the indicated shRNA construct with empty vector up to a total quantity of 16 μg of DNA. SEPT2 and SEPT5 were codepleted by mixing 2 μg of each shRNA construct with 12 μg of empty vector. Hygromycin-resistant cell lines were selected over 5–6 d. Over this time period, the ratio of transfected DNA was maintained due to the stringent replication control of the shuttle vector. Details on pMEP and shRNA shuttle vector derivatives are given in the Supplemental Material.
Publication 2011
Cell Lines Cloning Vectors derivatives DNA Replication Epstein-Barr Virus exopolysaccharide, Pseudomonas marginalis Genetic Vectors hygromycin A Jurkat Cells Septins Short Hairpin RNA Shuttle Vectors Transfection

Most recents protocols related to «Septins»

We have now developed the required pieces for modeling binding, unbinding, surface diffusion, end-on annealing, and fragmentation processes and their curvature dependence that ultimately determine the time-dependent adsorption and assembly of septin filaments on membranes. The equations describing these processes are summarized in Table 1. The kinetic equations describing the general assembly process are dn1dt=Jondirect+Joncoop,1+Janneal1+Jfrag1+Joff1, dnidt=Joncoop,i+Janneali+Jfragi+Joffi,i>1, where i denotes the number of oligomer units in the filament.
For filaments to polymerize, their ends must be within a critical distance of each other, which is accomplished through their subdiffusive motion. The parameters that appear in modeling these processes are listed in Table 2. The parameters labeled as “S” under the source column (except for ni and lave, which are determined by specifying the other parameters) are determined through a least-square optimization that minimizes the difference between the predicted and measured time-dependent adsorption curves at different bulk concentrations and curvatures. In order to solve this inverse problem, we first need a method to solve the direct problem: given all the parameters in Table 2, predict the time-dependent adsorption.
The typical choice for solving the direct problem is to integrate the overdamped Langevin equation to compute the displacements of septin on the membrane using Eq. 4 in combination with Eq. 6 to describe the kinetic processes. The main challenge in using this method is that the timescale for reaching steady-state adsorption (minutes) is significantly larger than a single oligomer dwell time (≈0.1 s), during which the oligomers are undergoing subdiffusive displacements. As a result, an exceedingly large number of time steps are needed to reach steady state and resolve the subdiffusive dynamics of the septins, making this method computationally prohibitive.
As an alternative, we consider the two limits for the annealing process: 1) reaction-limited, where the annealing kinetics are controlled by the slower reaction rate when the septins meet and 2) diffusion-limited reaction, where the annealing kinetics are solely determined by the time it takes the septins to meet. We separately consider these two limits as approximations to the kinetics of annealing. Our results strongly suggest that septin assembly is reaction limited. The detailed analysis is provided in SI Appendix, section C. In the reaction-limited case, the annealing reaction of bound septin filaments of length i and j oligomers is simply given by dni + j/dt = kannealninj, where ni denotes surface density of a filament of length i oligomers, and kanneal is only a function of bead’s curvature and independent of bulk concentration, filaments’ lengths, and surface densities.
Table 1 shows the set of equations that describe the assembly process. These equations can now be numerically integrated to compute the density of septins of different lengths, ni, as a function of time. As a result, we can compute the probability density distribution of septins of different lengths and, thus, the total surface density of bound septins (marked as adsorption here) vs. time for a given set of parameters. We can then search for a combination of parameters that gives the least error between the experiments and simulation results given a fitness function. We use the nonlinlsq function in Matlab for our optimization process.
Publication 2023
Adsorption Cytoskeletal Filaments Dietary Fiber Diffusion Displacement, Psychology Kinetics Septins Tissue, Membrane
Bl21 (DE3) E. coli cells were transformed using a duet construct expression system (AGB827 and AGB1281 or 1481 depending on desired purification) using ampicillin and chloramphenicol selection (Bridges et al., 2014 (link)). Selected transformants were then grown overnight in 25 ml of Luria broth (LB) with ampicillin and chloramphenicol selection at 37°C while shaking. 1/60 of LB liquid cultures were added to 1 liter of terrific broth with ampicillin and chloramphenicol selection and were grown to an O.D.600 nm between 0.6 and 0.8. Upon reaching the appropriate O.D.600 nm, 1 mM of isopropyl-B-D-1-thiogalactopyranoside was added to the cultures to begin induction. To achieve a stoichiometric septin complex of Ashbya septins, we use Cdc12 with a primary sequence derived from S. cerevisiae, while all other subunits were Ashbya-derived sequences. Induced cultures were grown for 18 h at 18°C while shaking before harvesting by centrifugation at 10,000 elative centrigual force for 15 min. Pellets were resuspended in lysis buffer (1 M KCl, 50 mM Hepes pH 7.4, 40 mM imidazole, 1 mM MgCl2, 10% glycerol, 0.1% Tween-20, 1 mg/ml lysozyme, and a 1× protease inhibitor tablet (Roche) at 4°C for 30 min to generate cell lysates. Cell lysates were then sonicated on ice for 10 s every 2 min. Lysates were clarified by spinning at 20,000 RPM for 30 min using an SS-34 rotor at 4°C. The supernatant was passed through a 0.44-um filter and then incubated with 2 ml of equilibrated cobalt resin at 4° for 1 h. The lysate-resin mixture was then added to a gravity flow column. Following the initial flow-through of unbound lysate, the resin was washed 4× (50 ml each wash) using wash buffer (1 M KCl, 50 mM Hepes pH 7.4, 40 mM imidazole, 5% glycerol). Bound protein was then eluted using elution buffer (500 mM imidazole, 300 mM KCl, 50 mM Hepes pH 7.4, 5% glycerol) and then dialyzed into septin storage buffer (300 mM KCl, 50 mM Hepes pH 7.4, 1 mM BME, and 5% glycerol) for 24 h using two steps. Protein purity was determined via SDS-PAGE and protein concentration was determined using a Bradford assay.
Publication 2023
Ampicillin Biological Assay Buffers Cells Centrifugation Chloramphenicol Cobalt D-600 Escherichia coli Glycerin Gravity HEPES imidazole Magnesium Chloride Muramidase Pellets, Drug Protease Inhibitors Proteins Protein Subunits Resins, Plant SDS-PAGE Septins Tablet Tween 20
Persistence length measurements were calculated from raw TIRF microscopy images of septin filaments seeded onto planar-supported lipid bilayers using a previously published MATLAB GUI method (Graham et al., 2014 (link)).
Publication 2023
Cytoskeletal Filaments Lipid Bilayers Microscopy Septins
Filament lengths were measured by uploading raw images to FIJI and using the Ridge detection (Steger, 1998 (link)) plugin. After image segmentation and processing, septin length distributions are extracted from each field of view. We are unable to resolve the frequencies of the smallest septin filaments due to the diffraction limit of light (∼200 nm) and the small size of septin octamers (∼32 nm) and are thus left with an incomplete length distribution. Therefore, an arithmetic average of the observed lengths will not be an accurate estimate of the true mean length of the population, and we must use a model to extrapolate to the true length distribution. Observation, physical models of septin polymerization, and robust model fits suggest that this distribution is a left-truncated exponential. Since we have incomplete data, we utilize a convenient property of exponential distributions to obtain model fits and estimate the population mean length.
An exponential length distribution has the following PDF: f(x) = λexp(−λx), where 1/λ is the mean length. If we let X be an exponentially distributed random variable, i.e. XExp(X), then X is memoryless, which means that: P(X>x+a|X>a) = P(X>x), for some cutoff value a. In practice, this implies that if the true septin length population is exponentially distributed with some mean length 1/λ, then our left-truncated data will be described by the same λ. To fit, we simply choose a cutoff value a below which data is ignored, and this value is subtracted from the observed lengths and the fit parameter λ is obtained To ensure robustness of fits, fit quality for a small range of cutoff values is assessed, and the smallest cutoff value that corresponds to a stable value of the fit parameter, λ, is the one used for the final model fit. Cutoff values are close to 200 nm. The true length distribution is related to the left-truncated data by the scaling factor exp(λa).
Publication 2023
Afterimage Cytoskeletal Filaments Light Physical Examination Polymerization Septins
10 locations on a given lipid bilayer were blindly selected to form 10 separate images. Each image was background subtracted. The total number of pixels with a septin signal was divided by the total number of pixels in the image to get the fraction of septins bound to the surface. This number was multiplied by 100 to get a percent surface coverage.
Publication 2023
Lipid Bilayers Septins

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More about "Septins"

Septins are a family of guanine nucleotide-binding proteins that play critical roles in various cellular processes, such as cytokinesis, vesicle trafficking, and apoptosis.
These GTPase proteins form hetero-oligomeric complexes that assemble into filaments and higher-order structures, acting as scaffolds and diffusion barriers within the cell.
Septins are involved in the regulation of cell division, polarity, and migration, and their dysregulation has been implicated in numerous disease states, including cancer, neurodegenerative disorders, and infectious diseases.
Understanding the complex functions and dynamics of septins is essential for advancing research in these areas and developing potential therapeutic interventions.
PubCompare.ai's AI-driven platform can enhance the reproducibility and optimization of septin research by facilitating the comparison of protocols, products, and scientific literature, enabling researchers to make more informed decisions and accelerate their investigations.
Researchers can utilize PubCompare.ai's intelligent search and analysis tools to explore a wide range of septin-related topics, including the use of Lipofectamine 3000 and Lipofectamine 2000 for transfection, protease inhibitor cocktails for protein preservation, the HiSeq 2500 sequencing system for genomic analysis, SuperScript II Reverse Transcriptase for cDNA synthesis, TurboFect for efficient gene delivery, DAPI for nuclear staining, DNA polymerase I for DNA replication, and Alexa Fluor secondary antibodies for immunofluorescence.
By leveraging this comprehensive platform, scientists can streamline their septin research, enhance reproducibility, and unlock new insights that drive progress in this important field of study.
One typo: 'Septins are a family of guanine nucleotide-binding proteins that play cruitical roles in various cellular processes, such as cytokinesis, vesicle trafficking, and apoptosis.'