The largest database of trusted experimental protocols
> Chemicals & Drugs > Amino Acid > Beta-Tubulin

Beta-Tubulin

Beta-Tubulin is a key structural protein involved in the formation and function of microtubules, critical components of the cytoskeleton.
These hollow, cylindrical polymers play a vital role in cellular processes such as cell division, intracellular transport, and cell motility.
Optimizing research on Beta-Tubulin can lead to advancements in our understanding of fundamental cell biology and the development of potential therapeutic interventions for diseases associated with microtubule dysfunction.
PubCompare.ai, an AI-driven platform, enhances the reproducibility and accuaracy of Beta-Tubulin research by enabling researchers to easily locate the best protocols from literature, pre-prints, and patents using AI-powered comparisons.
Identify the most effective products and techniques to advance your Beta-Tubulin studies with confidence and experience the power of AI-driven science with PubCompare.ai - your guide to better Beta-Tubulin research.

Most cited protocols related to «Beta-Tubulin»

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2012
beta-Tubulin Bone Marrow Buffers Cells Chromatin Cytoplasm deoxyuridine triphosphate Detergents Endoribonucleases Histone H3 Homo sapiens Immunoblotting Lipid A Macrophage Mus Nonidet P-40 Poly A Ribosomal RNA RNA, Messenger RNA, Polyadenylated Subcellular Fractions Sucrose
Genomic DNA was isolated from fungal mycelium grown on the agar plates following the protocol of Lee & Taylor (1990 ) or the UltraClean™ Microbial DNA Isolation Kit (Mo Bio Laboratories, Inc., Solana Beach, CA, USA). All isolates were sequenced with five genomic loci. The primers ITS5 or ITS1 and ITS4 (White et al. 1990 ) were used to amplify the internal transcribed spacers areas as well as the 5.8S rRNA gene (ITS) of the nrDNA operon. Part of the actin gene (ACT) was amplified using the primer set ACT-512F and ACT-783R (Carbone & Kohn 1999 ) and part of the translation elongation factor 1-a gene (EF) using the primer set EF1-728F and EF1-986R (Carbone & Kohn 1999 ). The primer set CAL-228F and CAL-737R (Carbone & Kohn 1999 ) was used to amplify part of the calmodulin gene (CAL) whereas the primer set CylH3F and CylH3R (Crous et al. 2004c ) was used to amplify part of the histone H3 gene (HIS). Additional degenerate primers were developed from sequences obtained from GenBank as alternative forward and reverse primers for some of the loci during the course of the study (Table 2); however, these were rarely used but based on their degenerate design could be of use to the broader scientific community. The protocols and conditions outlined by Groenewald et al. (2005 (link)) were followed for standard amplification and subsequent sequencing of the loci.
Sequences of Septoria provencialis (isolate CPC 12226) were used as outgroup based on availability and phylogenetic relationship with Cercospora (Crous et al. 2004b , 2006b (link)). The Cercospora sequences were assembled and added to the outgroup sequences using Sequence Alignment Editor v. 2.0a11 (Rambaut 2002 ), and manual adjustments for improvement were made by eye where necessary. Gaps present in the ingroup taxa and longer than 10 characters were coded as a single event for all analyses (see TreeBASE).
Neighbour-joining analyses using the HKY85 substitution model were applied to each data partition individually to check the stability and robustness of each species clade under each data set using PAUP v. 4.0b10 (Swofford 2003 ) (data not shown, discussed under the species notes where applicable). Alignment gaps were treated as missing data and all characters were unordered and of equal weight. Any ties were broken randomly when encountered. The robustness of the trees obtained was evaluated by 1 000 bootstrap replications (Hillis & Bull 1993 ).
MrModeltest v. 2.2 (Nylander 2004 ) was used to determine the best nucleotide substitution model settings for each data partition. Based on the results of the MrModeltest, a model-optimised phylogenetic re-construction was performed for the aligned combined data set to determine species relationships using MrBayes v. 3.2.0 (Ronquist & Huelsenbeck 2003 (link)). The heating parameter was set at 0.3 and the Markov Chain Monte Carlo (MCMC) analysis of four chains was started in parallel from a random tree topology and lasted until the average standard deviation of split frequencies came below 0.05. Trees were saved each 1 000 generations and the resulting phylogenetic tree was printed with Geneious v. 5.5.4 (Drummond et al. 2011 ). New sequences generated in this study were deposited in NCBI’s GenBank nucleotide database (www.ncbi.nlm.nih.gov; Table 1) and the alignment and phylogenetic tree in TreeBASE (www.treebase.org).
Isolates of Cercospora sp. Q were screened with five more loci to test whether additional loci could distinguish cryptic taxa within this species. This species was selected based on the intraspecific variation present in Fig. 2 (part 5) and also the range of host species and countries represented. The primer set GDF1 and GDR1 (Guerber et al. 2003 (link)) was used to amplify part of the glyceraldehyde-3-phosphate dehydrogenase (GAPDH) gene, primer set NMS1 and NMS2 (Li et al. 1994 (link)) for part of the mitochondrial small subunit rRNA gene and part of the chitin synthase (CHS) gene was amplified using the primers CHS-79F and CHS-354R (Carbone & Kohn 1999 ). Part of the gene encoding for a mini-chromosome maintenance protein (MCM7) was amplified using primers Mcm7-709for, Mcm7-1348rev, Mcm7-1447rev (Schmitt et al. 2009 (link)) and part of the beta-tubulin gene using mainly the primers T1, Bt2b and TUB3Rd (see Table 2 for references).
Publication 2012
Genomic DNA of the isolates was extracted using the method of Damm et al. (2008 (link)). The 5.8S nuclear ribosomal gene with the two flanking internal transcribed spacers (ITS), a 200-bp intron of the glyceraldehyde-3-phosphate dehydrogenase (GAPDH), and partial sequences of the chitin synthase 1 (CHS-1), histone3 (HIS3), actin (ACT) and beta-tubulin (TUB2) genes were amplified and sequenced using the primer pairs ITS-1F (Gardes & Bruns 1993 (link)) + ITS-4 (White et al. 1990 ) or V9G (de Hoog & Gerrits van den Ende 1998 (link)) + ITS-4, GDF1 + GDR1 (Guerber et al. 2003 (link)), CHS-354R + CHS-79F (Carbone & Kohn 1999 ), CYLH3F + CYLH3R (Crous et al. 2004b ), ACT-512F + ACT-783R (Carbone & Kohn 1999 ) and BT2Fd + BT4R (Woudenberg et al. 2009 (link)) or T1 (O’Donnell & Cigelnik 1997 (link)) + Bt-2b (Glass & Donaldson 1995 (link)), respectively. The PCRs were performed in a 2720 Thermal Cycler (Applied Biosystems, Foster City, California) in a total volume of 12.5 μL. The GAPDH, CHS-1, HIS3, ACT and TUB2 PCR mixture contained 1 μL 20x diluted genomic DNA, 0.2 μM of each primer, 1x PCR buffer (Bioline, Luckenwalde, Germany), 2 mM MgCl2, 20 μM of each dNTP, 0.7 μL DMSO and 0.25 U Taq DNA polymerase (Bioline). Conditions for PCR of these genes constituted an initial denaturation step of 5 min at 94 °C, followed by 40 cycles of 30 s at 94 °C, 30 s at 52 °C and 30 s at 72 °C, and a final denaturation step of 7 min at 72 °C, while the ITS PCR was performed as described by Woudenberg et al. (2009 (link)). The DNA sequences generated with forward and reverse primers were used to obtain consensus sequences using Bionumerics v. 4.60 (Applied Maths, St-Marthens-Lathem, Belgium), and the alignment assembled and manually adjusted using Sequence Alignment Editor v. 2.0a11 (Rambaut 2002 ).
To determine whether the six sequence datasets were congruent and combinable, tree topologies of 70 % reciprocal Neighbour-Joining bootstrap with Maximum Likelihood distances (10 000 replicates) with substitution models determined separately for each partition using MrModeltest v. 2.3 (Nylander 2004 ) were compared visually (Mason-Gamer & Kellogg 1996 ). A maximum parsimony analysis was performed on the multilocus alignment (ITS, GAPDH, CHS-1, HIS3, ACT, TUB2) as well as for each gene separately with PAUP (Phylogenetic Analysis Using Parsimony) v. 4.0b10 (Swofford 2000 ) using the heuristic search option with 100 random sequence additions and tree bisection and reconstruction (TBR) as the branch-swapping algorithm. Alignment gaps were treated as missing and all characters were unordered and of equal weight. No more than 10 trees of score (length) greater than or equal to 10 were saved in each replicate. The robustness of the trees obtained was evaluated by 10 000 bootstrap replications using the Fast-stepwise addition algorithm (Hillis & Bull 1993 ). Tree length, consistency index (CI), retention index (RI), rescaled consistency index (RC) and homoplasy index (HI) were calculated for the resulting tree. A Markov Chain Monte Carlo (MCMC) algorithm was used to generate phylogenetic trees with Bayesian probabilities using MrBayes v. 3.1.1 (Ronquist & Huelsenbeck 2003 (link)) for the combined sequence datasets. Models of nucleotide substitution for each gene determined by MrModeltest v. 2.3 were included for each gene partition. The analyses of two MCMC chains were run from random trees for 1000 000 generations and sampled every 100 generations. The likelihood score of the two runs were 2 500 and 2 200 and therefore, the first 2 350 (the average of both) trees were discarded as the burn-in phase of the analysis and posterior probabilities determined from the remaining trees. For additional comparison, a Neighbour-Joining analysis was performed on the multigene alignment using PAUP and 1000 bootstrap replications. Sequences derived in this study have been lodged at GenBank, the alignment in TreeBASE (www.treebase.org/treebase-web/home.html), and taxonomic novelties in MycoBank (Crous et al. 2004a ).
Publication 2012

Protocol full text hidden due to copyright restrictions

Open the protocol to access the free full text link

Publication 2011
Actins ALOX15 protein, human Antioxidants beta-Tubulin Biological Assay Brain Brain Diseases Caimans Cell Culture Techniques Cells Chelating Agents Complement System Proteins Electrophoretic Mobility Shift Assay Faculty Gels Glial Fibrillary Acidic Protein guanidine isothiocyanate hexafluoroisopropanol Homo sapiens I-kappa B Proteins Immunoglobulins Interleukin-1 beta isolation MicroRNAs Microtubule-Associated Proteins MIRN9 microRNA, human neuro-oncological ventral antigen 2, human Neuroglia Neurons NF-kappa B Northern Blot Peptides Phosphotransferases Primary Cell Culture prolinedithiocarbamate Proteins pyrrolidine dithiocarbamic acid Quantitative Real-Time Polymerase Chain Reaction Rabbits Reproduction Reverse Transcription RNA, Messenger Serum Albumin, Human Silica Gel Sulfoxide, Dimethyl Tissue, Membrane Translocation, Chromosomal
For immunoblot analysis (14 ), the antibodies used were: p130 (BD Biosciences, 610261), p107 (Santa Cruz, SC-318), Synaptophysin (Neomarkers, RB-1461-P1), Karyopherin beta 1 (Santa Cruz, SC-1919), and α-Tubulin (Sigma, T9026).
Paraffin sections were rehydrated in Trilogy reagent (Cell Marque). Sections were mounted in ProLong® Gold Antifade reagent (Invitrogen) after immunostaining (14 ). The primary antibodies used were: Phospho-Histone 3 Ser10 (PH3) (Millipore, 06-570), BrdU (Becton-Dickinson, 347580), Ki67 (BD Biosciences, 55069), MCM6 (Santa Cruz Biotechnology, sc-9843), PCNA (Santa Cruz Biotechnology, sc-56), Surfactant protein C (SP-C) (Dr. Jeff Whitsett, University of Cincinnati), Clara cell secretory protein (CCSP) (Santa Cruz Biotechnology, sc-9772), Synaptophysin (SYP) (Neomarkers, RB-1461-P1). Alexa Fluor® secondary antibodies (Invitrogen) were used for antibody detection. Quantification was performed using the Bio-Quant image analysis software.
Publication 2010
alpha-Tubulin Antibodies Bromodeoxyuridine Cells Gold Histones Immunoblotting Immunoglobulins KPNB1 protein, human MCM6 protein, human Paraffin Proliferating Cell Nuclear Antigen Protein C Pulmonary Surfactants RBL1 protein, human Synaptophysin Uteroglobin

Most recents protocols related to «Beta-Tubulin»

Single-cell RNA-sequencing data were obtained from the Complete Gene Expression Map of the C. elegans Nervous System (CeNGEN) [85 (link)]. Using the CeNGEN scRNA-seq dataset, gene expression for each of the genes of interest was extracted from the database with a threshold of 2 (Table S8). All expression values are in transcripts per million (TPM) [94 (link)]. All data collection, processing, normalization, and analysis of the CeNGEN data can be found at https://www.cengen.org/.
Publication Preprint 2024
Five nematode species were selected to make a phylogenetic tree of beta-tubulins to observe levels of conservation. All nematode species selected are Clade V nematodes as the association of ben-1 orthologs with BZ resistance has most often been validated in this clade. C. elegans and Caenorhabditis briggsae were selected as two closely related free-living nematode species. Pristionchus pacificus, another free-living nematode, was selected because of its high-quality genome and evolutionary divergence from C. elegans. Many parasite genomes are relatively poor quality and lack detailed gene annotations, so we chose two parasite species with well annotated genomes, the hookworm Necator americanus and H. contortus, to include in the phylogenetic tree.
Orthofinder (Emms and Kelly, 2019 (link)) was used to identify beta-tubulin sequences (Supplementary Table 1) from each species. Data were obtained from the following sources: WormBase Parasite (WBPS18) (H. contortus, N. americanus, P. pacificus), WormBase (WS279) (C. elegans), and from a previous publication (C. briggsae) (Moya et al., 2023 (link)). Ortholog sequences were aligned using Mafft, and the phylogenetic tree was generated and annotated using IQTREE (Katoh et al., 2002 (link); Minh et al., 2020 (link)). IQTREE performs automatic model selection. The selected model was LG+G4, which uses the LG model (Le and Gascuel, 2008 (link)) to examine amino-acid exchange rates and a discrete gamma model with four categories (G4) (Yang, 1994 (link)) to examine heterogeneity across amino acid sites. Branch support was estimated with 1000 iterations of ultrafast bootstrap approximation (Minh et al., 2013 (link)). Putative clades were identified in the generated tree and colored by clade.
Publication Preprint 2024
The current standard for species identification is sequence similarity using taxonomically informative loci. To conduct species determination using taxonomically informative loci, the best nucleotide-to-nucleotide BLAST hit to beta-tubulin, calmodulin, and/or RNA polymerase II second largest subunit (RPB2) gene regions were extracted from the genome assembly of each isolate. The query sequence for each sequence is as follows: calmodulin, GenBank identifier: EF669865.1, Description: Neosartorya fischeri isolate NRRL 181 calmodulin gene, partial cds; beta-tubulin, GenBank identifier: EF669796.1, Description: Neosartorya fischeri isolate NRRL 181 beta-tubulin gene, partial cds; and RPB2, GenBank identifier: XM_677297.2, Description: Aspergillus nidulans FGSC A4 DNA-directed RNA polymerase II core subunit RPB2 (ANIA_09120), partial mRNA. A sequence similarity search was conducted for each extracted sequence against a local database of taxonomically informative fungal sequences. The database comprised reference sequences sourced from GenBank, encompassing the accepted Aspergillus species listed by Houbraken et al. (54 (link)), as well as the new Aspergillus species described afterward.
Publication 2024
Protein sequences for porcine brain alpha-1A tubulin (UniPROT ID: P02550), beta-2B tubulin (UniPROT ID: P02554) and MAP7 MTBD (Residues 60–170 from UniPROT ID: Q14244) were used as inputs for locally installed AlphaFold2 multimer40 . Out of the 25 models obtained, the best model assessed by pTM+ipTM score was used for fitting and analyses.
Publication 2024
The three-dimensional structure of human tubulin beta-4B chain was obtained by homology modeling, using as template the crystallographic structure of bovine tubulin beta-2B chain (sequence identity 96.9%) with Protein Data Bank (PDB) identifier 4I4T31 (link) (resolution 1.8 Å), by selecting the beta-chain with the highest percentage of solved residues (chain D in the PDB file), and retaining the respective ligands (Mg2+, Ca2+, and GDP). Homology modeling, structure refinement procedures, and calculation of the differences in Gibbs free energy due to in silico mutagenesis were carried out using the BioLuminate interface provided by Maestro molecular modeling suite (Schroedinger, New York, USA).
Briefly, the structure of isolated TUBB4B was subjected to the protein preparation wizard provided by BioLuminate, which assigned bond orders based on the Chemical Components Dictionary database (http://www.pdb.org, wwPDB foundation, Piscataway NJ, USA), added H-atoms, created zero-order bonds to metals, and generated protonation states for GDP and protein at pH 7.5 using Epik and PROPKA32 (link) modules, respectively. After assigning and optimizing the geometry and distances for H-bonds, structures were minimized using Optimized Potentials for Liquid Simulations 4 (OPLS4) forcefield33 (link), setting 0.3 Å as the heavy-atoms Root-Mean Square Deviation (RMSD) threshold for reaching convergence.
The αβαβ organization of tubulin chains was reconstituted using the structure with PDB identifier 4I4T31 (link) as template, which contains the coordinates of the tubulin (αβαβ chains) - stathmin-4 - tubulin tyrosine ligase complex, upon superimposition of the model of the isolated TUBB4B on the two tubulin beta-2B subunits (chains B and D in the PDB entry), with a Cα-RMSD of 0.395 and 0.001, respectively.
The tubulin αβ and βα heterodimers were extrapolated from the complex to evaluate in detail the interactions of TUBB4B with the preceding or following α subunits.
All potential substitutions due to point mutations in the codons encoding for residues Arg390 (to Gln, Gly, Leu, Pro, and Trp) and Arg391 (to Cys, Gly, His, Leu, Pro, and Ser), as well as the Tyr310His mutation were introduced by the BioLuminate’s Residue scanning tool for in silico mutagenesis. The most naturally occurring rotamer was selected for each side chain substitution, then all structures underwent energy minimization with the same computational parameters as above.
The thermodynamic cycle for each TUBB4B variant was computed according to the Molecular Mechanics/Generalized Born and Surface Area Continuum solvation (MM/GBSA) method34 (link). This method, which allows the evaluation of the differences in Gibbs free energy of folding (∆∆Gfapp = ∆Gfappmut − ∆GfappWT) and binding to Tubulin α-1B chain (∆∆Gbapp = ∆Gbappmut − ∆GbappWT) with respect to the wildtype does not consider the explicit energetic term associated with the conformational change. Therefore, the differences in free energy reported in this study cannot be considered precise thermodynamic values, but they represent variations in apparent stability (∆∆Gfapp) or affinity (∆∆Gbapp), which nevertheless have been proven to correlate with functional data also in other protein systems35 (link).
Publication 2024

Top products related to «Beta-Tubulin»

Sourced in United States, Germany, China, United Kingdom, Morocco, Ireland, France, Italy, Japan, Canada, Spain, Switzerland, New Zealand, India, Hong Kong, Sao Tome and Principe, Sweden, Netherlands, Australia, Belgium, Austria
PVDF membranes are a type of laboratory equipment used for a variety of applications. They are made from polyvinylidene fluoride (PVDF), a durable and chemically resistant material. PVDF membranes are known for their high mechanical strength, thermal stability, and resistance to a wide range of chemicals. They are commonly used in various filtration, separation, and analysis processes in scientific and research settings.
Sourced in United States, United Kingdom, Germany, Canada, Macao, China, Spain, Sao Tome and Principe, Morocco, New Zealand, Sweden
β-tubulin is a structural protein that plays a crucial role in the formation of microtubules. Microtubules are cytoskeletal filaments essential for various cellular processes, such as cell division, intracellular transport, and cell motility. β-tubulin is a key component of the microtubule structure and is widely used in research applications to study and analyze these cellular functions.
Sourced in United Kingdom, United States, Germany, China, Hong Kong
Ab6046 is a primary antibody produced in rabbit that targets the protein GAPDH. It is commonly used in western blotting applications to detect and quantify the presence of GAPDH in biological samples.
Sourced in United States, Switzerland, Germany, China, United Kingdom, France, Canada, Japan, Italy, Australia, Austria, Sweden, Spain, Cameroon, India, Macao, Belgium, Israel
Protease inhibitor cocktail is a laboratory reagent used to inhibit the activity of proteases, which are enzymes that break down proteins. It is commonly used in protein extraction and purification procedures to prevent protein degradation.
Sourced in United States, United Kingdom, Germany, China, Canada, Japan, Macao, Italy, Sao Tome and Principe, Israel, Spain, Denmark, France, Finland, Australia, Morocco, Ireland, Czechia, Sweden, Uruguay, Switzerland, Netherlands, Senegal
β-actin is a protein that is found in all eukaryotic cells and is involved in the structure and function of the cytoskeleton. It is a key component of the actin filaments that make up the cytoskeleton and plays a critical role in cell motility, cell division, and other cellular processes.
Sourced in United States, United Kingdom, Germany, Sweden, Canada, Macao, Japan, China
β-tubulin is a structural protein that is a key component of microtubules, which are important cytoskeletal structures within cells. It plays a crucial role in cellular processes such as cell division, intracellular transport, and cell motility.
Sourced in United States, China, Japan, Germany, United Kingdom, Canada, France, Italy, Australia, Spain, Switzerland, Netherlands, Belgium, Lithuania, Denmark, Singapore, New Zealand, India, Brazil, Argentina, Sweden, Norway, Austria, Poland, Finland, Israel, Hong Kong, Cameroon, Sao Tome and Principe, Macao, Taiwan, Province of China, Thailand
TRIzol reagent is a monophasic solution of phenol, guanidine isothiocyanate, and other proprietary components designed for the isolation of total RNA, DNA, and proteins from a variety of biological samples. The reagent maintains the integrity of the RNA while disrupting cells and dissolving cell components.
Sourced in United States, United Kingdom, Germany, Japan, France, Italy, Canada, China, Spain, Switzerland, Denmark, Australia, Hungary, Belgium, Ireland, Israel, Netherlands, Moldova, Republic of, India, Austria, Czechia, Poland
Alexa Fluor 488 is a fluorescent dye used in various biotechnological applications. It has an excitation maximum at 495 nm and an emission maximum at 519 nm, producing a green fluorescent signal. Alexa Fluor 488 is known for its brightness, photostability, and pH-insensitivity, making it a popular choice for labeling biomolecules in biological research.
Sourced in United States, United Kingdom, China, Germany, Japan, Canada, Morocco, Sweden, Netherlands, Switzerland, Italy, Belgium, Australia, France, India, Ireland
β-actin is a cytoskeletal protein that is ubiquitously expressed in eukaryotic cells. It is an important component of the microfilament system and is involved in various cellular processes such as cell motility, structure, and integrity.
Sourced in United States, Germany, United Kingdom, Japan, China, Canada, Italy, Australia, France, Switzerland, Spain, Belgium, Denmark, Panama, Poland, Singapore, Austria, Morocco, Netherlands, Sweden, Argentina, India, Finland, Pakistan, Cameroon, New Zealand
DAPI is a fluorescent dye used in microscopy and flow cytometry to stain cell nuclei. It binds strongly to the minor groove of double-stranded DNA, emitting blue fluorescence when excited by ultraviolet light.

More about "Beta-Tubulin"

Beta-Tubulin is a critical structural protein that forms the essential cytoskeletal component, microtubules.
These hollow, cylindrical polymers play a vital role in fundamental cellular processes such as cell division, intracellular transport, and cell motility.
Optimizing beta-tubulin research can lead to advancements in our understanding of cell biology and the development of potential therapies for diseases associated with microtubule dysfunction.
Researchers can enhance the reproducibility and accuracy of their beta-tubulin studies by utilizing the AI-driven platform, PubCompare.ai.
This innovative tool enables researchers to easily locate the best protocols from literature, preprints, and patents using AI-powered comparisons.
Identify the most effective products and techniques, such as PVDF membranes, β-tubulin antibodies (e.g., Ab6046), protease inhibitor cocktails, and β-actin for normalization, to advance your beta-tubulin research with confidence.
Extraction and analysis of beta-tubulin often involves the use of TRIzol reagent for RNA isolation, followed by techniques like Western blotting with Alexa Fluor 488 secondary antibodies and DAPI staining for nuclear visualization.
By leveraging the power of AI-driven science with PubCompare.ai, you can streamline your beta-tubulin research and experience better results, even with the occasional typographical error.