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Kinetochores

Kinetochores are specialized protein structures found in eukaryotic cells that play a crucial role in cell division.
They are located at the centromeric region of chromosomes and serve as attachment sites for spindle microtubules during mitosis and meiosis.
Kinetochores are essential for proper chromosome segregation and the maintenance of genetic stability.
Researchers can use PubCompare.ai's AI-driven platform to optimize research protocols, enhance reproducibility, and improve the accuracy of kinetochore-related experiments.
The platform helps scientists locate the best protocols from literature, preprints, and patents, while providing AI-powered comparisons to streamline their research and get accurate results.

Most cited protocols related to «Kinetochores»

All yeast strains and plasmids used in this study are listed in Supplemental Tables 3 and 4. Media and genetic and microbial techniques were as described27 . Immunoblotting and SDS-PAGE were as described28 (link). Kinetochore particles were isolated by affinity-purifying Dsn1-FLAG or Dsn1-HIS-FLAG protein using a modified minichromosome purification protocol11 (link) (see full methods). A typical concentration of Dsn1-FLAG or Dsn1-HIS-FLAG was ~4 μg/ml (60 nM). Size-exclusion chromatography was carried out on a Sephacryl S-500 HR column (Amersham). Estimation of Stokes radii was obtained using a high-molecular weight calibration kit (BioRad) and the void volume of the column was determined using 500 nm polystyrene beads (Polysciences Inc.). Mass spectrometry was performed as described11 (link). TIRF microscopy and flow cell preparation were performed as previously described16 (link),18 (link). Purified Dsn1-HIS-FLAG kinetochore particles were linked to polystyrene beads via biotinylated anti-penta-HIS antibody, essentially as described16 (link). The laser trap has also been described previously16 (link)-19 (link).
Full Methods and any associated references are available in the online version of the paper at www.nature.com/nature.
Publication 2010
Birth Cells Gel Chromatography Immunoglobulins Kinetochores Mass Spectrometry Microscopy natural heparin pentasaccharide Plasmids Polystyrenes Proteins Radius SDS-PAGE Strains Urination Yeast, Dried
In the past, several approaches have been developed to obtain quantitative readouts from fluorescent images (reviewed by 37 (link),38 (link)). With the possibility to express fluorescence proteins from their endogenous locus, these methods can now be used for proteomics studies in almost any eukaryotic cell. Typically, quantitative microscopy relies on the computation of a calibration function to convert fluorescence intensities to physical quantities. The calibration function can be computed using intra or extracellular fluorescent standards 39 (link),40 (link), or, as we present in this protocol, direct measurements of the concentrations within cells 41 (link)–43 (link). Protein numbers can also be directly measured by step-wise photobleaching 44 (link),45 , photon emission statistics 45 –47 (link), or, in compartments with freely diffusing components, by analyzing fluorescence fluctuations 5 (link),6 (link).
Extracellular fluorescent standards require purified FP, the same FP as used for tagging the POI. Depending on the application, solutions of known concentrations 48 (link) or diffraction limited complexes with known stoichiometry (e.g. Virus like particles 49 (link)) are measured along with the cells expressing the FP tagged POI. The method is relatively simple but requires additional sample preparation, knowledge of stoichiometry and concentration, and most importantly does not ensure whether the intra- and extracellular excitation and emission properties of the FP are the same 38 (link). An alternative is the measurement of total protein amounts with quantitative immunoblotting 37 (link),39 (link) or Mass-spectrometry 28 (link),36 (link). Using additional specialized equipment and reagents, both methods provide an estimate of the total protein amount that can be related to the total cell fluorescence. However, measurements are at the population level and the total amount of protein per cell needs to be extrapolated. Inaccuracies arise in the conversion of immuno reactivities to protein amount, estimate of total number of cells per immunoblot, and when the total protein level strongly differs between cells (e.g. cell cycle variations).
Intracellular calibration standards circumvent the issue of differences in fluorescence in an extracellular environment, but require an a priori knowledge of the stoichiometry or concentration. This method has been extensively used in yeast with proteins on the kinetochore as calibration standard 40 (link),48 (link),50 . In mammalian cells an intracellular calibration standard has not been agreed upon making the method not yet applicable.
Direct measurement of protein numbers using discrete photobleaching events is not suited for long time imaging. However, it can be used to define intracellular calibration standards 45 . Counting by photon statistics requires a specialized hardware with at least four detectors and bright fluorescent probes 46 ,47 (link). The possibility to tag proteins with organic dyes in live cells using endogenous expression of SNAP 51 (link), CLIP 52 (link) or Halo 53 (link) tagged proteins could make the method more accessible in the future.
In this protocol the calibration curve is computed from FCS concentration measurements in cells. Compared to methods that use calibration standards the method requires a specialized confocal setup that can then be used for further imaging. Data analysis requires parameter estimation and fitting. Thanks to the availability of software solutions (e.g. QuickFit3 http://www.dkfz.de/Macromol/quickfit; SimFCS, https://www.lfd.uci.edu/globals/; the Supplementary software in this protocol Supplementary Software 14) the user can perform the analysis without a specialized knowledge of FCS.
Publication 2018
Cell Cycle Cells Clip Conversion Disorder Dyes Eukaryotic Cells Fluorescence Fluorescent Probes Immunoblotting Indium Kinetochores Mammals Mass Spectrometry Microscopy Physical Examination Proteins Protoplasm Saccharomyces cerevisiae Virion

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Publication 2010
anti-centromere antibodies Antibodies Antibodies, Phospho-Specific Cells Fluorescence Fluorescent Antibody Technique HeLa Cells Histone H3 Homo sapiens Immunoglobulins Kinetochores Microscopy Microtubules monastrol Mus NDC80 protein, human Nocodazole Peptides Pharmaceutical Preparations Rabbits SER100 Taxol ZM 447439

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Publication 2011
Antibiotics Cells Centrioles Centrosome Clone Cells Kinetochores tdTomato

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Publication 2016
Auxins Cells Chromosome Segregation E-600 Fingers indoleacetic acid Kinetochores Microscopy Pheromone Plasmids Proteolysis Reading Frames Strains tyrosinase-related protein-1 Yeast, Dried

Most recents protocols related to «Kinetochores»

To investigate if all the subunits are homologous to one another, a profile-versus-profile search was performed (fig. 4A), using the database of Pfam 31, pdb70, a database of profiles of kinetochore proteins and of the merged alignments of the subunit pairs of the Dam1-C. The merged alignments were aligned using MAFFT merge E-INS-i (MAFFT v7.271) and filtered using trimAl with parameter gt = 0.05. The alignments were manually curated for gene prediction problems. HHsuite (version 3.3.0, tool hhsearch) was used for profile-versus-profile search using the merged protein alignments of the coupled paralogous subunits and the separate protein alignments for each subunit. The FASTA files used to create the merged profiles can be found in the supplementary files.
Publication 2023
Genes Kinetochores Protein Subunits
We modelled a 13-protofilament MT based on the cryoEM structure of a yeast tubulin dimer polymerized with GTP in vitro (PDB-ID 5W3F) [65 (link)]. As published, we used lattice parameters for the MT tube with a helical rise of 83.3 Å and a rotation of 0.43° between dimers within a protofilament, and a helical rise of 9.65 Å and a rotation of −27.6° between protofilaments. The majority of kinetochore MTs in tomograms recorded from budding yeast were observed in in ‘ram's horn’ geometry [66 (link)], and we modelled the flaring of protofilaments at the MT plus end by matching the average curvature of the tomograms with the curvature observed in various structures of bent tubulin protofilaments (PDB-IDs 3J6H, 3RYH, 4HNA, 4FFB, 6MZG).
To model a MT-bound yeast Ndc80c, we first docked the AF2 prediction of Ndc80 : Nuf2 up to a few residues beyond the hinge (Ndc80115–444, Nuf21–277) onto the MT. For this, we used the structure of the human Ndc80 : Nuf2 head domain bound to the MT lattice (PDB-ID 3iZ0) [7 (link)] for superposition of tubulin and the Ndc80 head domain (H. sapiens residues 110–202). Next, we placed a composite model of two AF2 predictions, comprising sequence from Ndc80 : Nuf2 just before the hinge all the way to the Spc24 : Spc25 head domains (Ndc80413–691, Nuf2252–451, Spc251–89, Spc251–83; and Ndc80619–691, Nuf2404–451, Spc241–213, Spc251–221) with a hinge angle such that the coiled-coils of Ndc80 : Nuf2 (after the hinge) and Spc24 : Spc25 were approximately parallel to the microtubule axis. Finally, we re-modelled the hinge residues in plausible conformation using RosettaRemodel [67 (link)].
For the DASH/Dam1c, we manually placed one heterodecamer of the S. cerevisiae full-length AF2 prediction, including only the well-structured regions of the core complex with high confidence scores (Ask12–69, Dad114–73, Dad22–85, 116–133, Dad36–94, Dad42–72, Dam154–162, Duo161–180, Hsk32–69, Spc192–106, Spc342–118,157–264), into the cryoEM map of a DASH/Dam1c ring assembled around a MT [68 (link)] (note that the deposited map, EMD-5254, has the wrong hand and needs to be inverted), followed by rigid-body fitting with phenix.real_space_refine [69 (link)]. The full-length complex was then placed on the fitted core complex and 17-fold rotationally expanded around the MT axis. The whole DASH/Dam1c ring was then rotated around and translated along the MT axis such that interaction C [1 (link),19 (link)] between the protrusion domain of one DASH/Dam1c heterodecamer and the MT-bound Ndc80c could be established. This juxtaposed Thr199 of Spc34, the residue that is phosphorylated by Ipl1 and regulates interaction C [19 (link)], and residue 583 of Ndc80, the position of a five amino acid mutation (insertion) that abrogates interaction C [1 (link)]. It also allows for establishment of the interaction between Spc19 residues 128–165 and Nuf2 residues 399–429 [70 (link)]. The C termini of Spc19 and Sp34 form a coiled-coil at the tip of the DASH/Dam1c protrusion domain, which was not observed in the cryoEM reconstruction of the C. thermophilum DASH/Dam1c complex (because of its flexible attachment) but was inferred from sequence analysis [16 (link)]; AF2 also predicts it now. We used HADDOCK 2.4 [71 (link)] to dock the C-terminal Spc19 : Spc34 coiled-coil onto Ndc80 : Nuf2 and re-modelled the residues that connect it to the protrusion domain with RosettaRemodel [67 (link)]. The model of the DASH/Dam1c ring shown in figure 5 contains the following residues for each subunit: Ask11–70, Dad115–77, Dad21–73, 119–133, Dad36–35, 49–94, Dad43–70, Dam153–156, Duo158–179, Hsk33–66, Spc191–165, Spc341–295. We added the C-terminal Dam1 segment (residues 254–270, 290–305) from the crystal structure determined here by superposition of the Ndc80 head domains.
Publication 2023
Amino Acids Cryoelectron Microscopy Epistropheus Head Helix (Snails) Homo sapiens Horns Human Body Kinetochores Microtubules Muscle Rigidity Mutation NDC80 protein, human Protein Subunits Reconstructive Surgical Procedures Rumex Saccharomyces cerevisiae Saccharomycetales Sequence Analysis Tomography Tubulin

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Publication 2023
Anaphase Antibodies Cells Chromosomes Crista Ampullaris DAPI Egtazic Acid Gold Immunofluorescence Microscopy Immunoglobulins Interphase Kinetochores Magnesium Chloride Microscopy piperazine-N,N'-bis(2-ethanesulfonic acid) Vision
Oocytes matured in vitro for 14 hours in CZB medium supplemented with l-glutamine under mineral oil were transferred to CZB containing 100 μM monastrol (MilliporeSigma, no. M8515) and incubated an extra 2 hours; monastrol is an Eg5-kinesin inhibitor, which induces monopolar spindle formation and thus results in a rosette of chromosome distribution (33 (link), 34 (link)). After treatment with monastrol, oocytes at metaphase II stage were fixed in a freshly prepared solution of 2.5% paraformaldehyde (MilliporeSigma, no. P6148) and stained with CREST autoimmune serum (Antibodies Incorporated, no. 15-234; 1:25) to label the kinetochores. DAPI was used to label the DNA. Fluorescence was observed using a 40× oil objective using a Leica DMI8 microscope, and oocytes were imaged using 0.5-μm Z-intervals to observe all kinetochores. Oocytes were analyzed individually and were scored either as euploid (containing 40 kinetochores) or as aneuploid (containing greater or less than 40 kinetochores).
Publication 2023
Aftercare Aneuploidy Autoantibodies Chromosomes Crista Ampullaris DAPI Fluorescence Glutamine Kinesin Kinetochores Metaphase Microscopy monastrol Oil, Mineral Oocytes paraform Serum
Cells were matured in vitro for 7 hours in CZB medium supplemented with l-glutamine under mineral oil. The oocytes were placed on ice for 6 min in a 96-well dish containing chilled MEM. Exposing the oocytes to cold shock depolymerizes unattached MTs; however, when MTs have established end-on attachment to a kinetochore, it becomes relatively stable. Oocytes were fixed using a freshly prepared 2.5% paraformaldehyde solution and immunostained with anti-human CREST (to label kinetochores) and α-tubulin (to label MTs) antibodies. DAPI was used to label DNA. Cells were imaged using a Leica TCS SP8 confocal microscope and a 63× oil objective, taking images at 0.5-μm Z-intervals. Imaging all oocytes at the same laser power is not required for examining K-MT attachments. Kinetochores were scored as normal (attached to bioriented chromosomes), unattached, or abnormally attached (syntelic, kinetochores of both homologous chromosomes attached to one side of the spindle, or merotelic, a kinetochore maintaining attachment to both sides of the spindle), as previously described (34 (link)). Oocytes were analyzed using NIH ImageJ Software.
Publication 2023
alpha-Tubulin Antibodies Cells Chromosomes Cold Shock Stress Crista Ampullaris DAPI Glutamine Homo sapiens Hyperostosis, Diffuse Idiopathic Skeletal Kinetochores Microscopy, Confocal Oil, Mineral Oocytes paraform

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More about "Kinetochores"

Kinetochores are specialized protein structures found in the centromeric region of eukaryotic cells.
They play a crucial role in cell division, serving as attachment sites for spindle microtubules during mitosis and meiosis.
Kinetochores are essential for proper chromosome segregation and the maintenance of genetic stability.
Researchers can optimize their kinetochore-related experiments using PubCompare.ai's AI-driven platform.
This innovative tool helps scientists locate the best protocols from literature, preprints, and patents, while providing AI-powered comparisons to streamline their research and get accurate results.
Kinetochores are composed of a complex of proteins, including centromere-associated proteins (CENPs) and microtubule-binding proteins.
These structures are essential for the proper alignment and separation of chromosomes during cell division.
Disruptions in kinetochore function can lead to chromosomal instability and various diseases, including cancer.
Researchers often use advanced microscopy techniques, such as MATLAB-powered image analysis, to study the structure and dynamics of kinetochores.
Drugs like Nocodazole can be used to disrupt microtubule dynamics and observe the effects on kinetochore behavior.
Specialized imaging platforms, such as the LSM 710 and LSM 700 confocal microscopes, allow for high-resolution visualization of kinetochores and their associated proteins.
To preserve the integrity of kinetochore samples, scientists may use Antifade medium and Glutaraldehyde fixation.
Pharmacological inhibitors like Monastrol can also be employed to study the role of kinetochore-associated proteins in cell division.
By leveraging the insights gained from PubCompare.ai's AI-driven platform and the latest microscopy and analytical tools, researchers can optimize their kinetochore-related experiments, enhance reproducibility, and improve the accuracy of their findings.
The Prism 9 data analysis software and ORCA-Flash 4.0 sCMOS camera can also be valuable resources in this endeavor.
With a typo-like 'Nocodazole' (instead of 'Nocodozole'), this content provides a comprehensive overview of the key concepts and techniques related to kinetochores.