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Chromosome Segregation

Chromosome Segregation is the process by which replicated chromosomes are accurately separated into daughter cells during cell division.
This critical biological process ensures the faithful transmission of genetic material to progeny cells.
Proper chromosome segregation requires the coordinated action of numerous molecular mechanisms, including the mitotic spindle, kinetochore-microtubule attachments, and cell cycle checkpoints.
Dysregulation of chromosome segregation can lead to chromosomal instability and aneuploidy, which are hallmarks of many human diseases, including cancer.
Researchers studying Chromosome Segregation can optimize their work by utilizing PubCompare.ai, an AI-driven platform that enhances reproducibility and accuracy.
PubCompare.ai enables researchers to easily locate the best protocols from literature, preprints, and patents using intelligent comparisons, streamlining the research process and achieving more reliable results with its cutting-edge technology.

Most cited protocols related to «Chromosome Segregation»

Genomic DNA was extracted with various standard procedures, and specimens were identified to species and molecular forms by PCR-RFLP [38 (link),39 (link)]. SINE200 elements were located in silico by BLASTN searches on the genome sequence of the A. gambiae PEST genome using the obtained SINE200 consensus sequence as a query. Thirteen SINE200 insertions lying within the A. gambiae molecular form speciation islands (sensu Turner [11 (link)]) on X, 2L and 2R chromosomes, and characterized by the presence of 500 bp flanking regions showing a single hit in the genome, were selected. Primers were designed to amplify across the element using Primer 3 software [40 (link)]. The selected loci were named 'S200' followed by the abbreviation of the chromosomal arm (2L, 2R, X), by a number/letter corresponding to the chromosomal location on the cytogenetic map [4 (link)] and by an additional number aimed to distinguish primer sets positioned on the same chromosome division. Genes annotated within a 20 Kb genome sequence including SINE200 insertions for each locus were retrieved from the PEST genome ver. Agam P3 Feb. 2006 (Table 2).
PCR reactions were carried out in a 25 μl reaction which contained 1 pmol of each primer, 0.2 mM of each dNTP, 1.5 mM MgCl2, 2.5 U Taq polymerase, and 0.5 μl of template DNA extracted from a single mosquito. Thermocycler conditions were 94°C for 10 min followed by thirty-five cycles of 94°C for 30 s, 54°C for 30 s and 72°C for 1 min., with a final elongation at 72°C for 10 min, and a 4°C hold. The resulting products were analysed on 1.5% agarose gels stained with ethidium bromide, with low and high molecular weight bands corresponding to fragments containing or lacking the targeted SINE200, respectively.
PCR products representing 'filled' and 'empty' sites of S200 X6.1 locus on X chromosome were sequenced on both strands using ABI Big Dye Terminator v.2 chemistry and an ABI Prism 3700 DNA Analyser. Multiple alignments were performed using ClustalX [37 (link)]. All sequences were deposited in GenBank under accession numbers EU881868EU881887.
Indices of polymorphism (i.e. SINE200 insertion frequency and heterozygosity) and differentiation (Fst) at polymorphic loci were computed using Fstat 2.9.3.2 [41 ]. Significance was tested with Bonferroni-adjusted P-values, using the randomization approach implemented in Fstat.
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Publication 2008
2-(2-(2-chloro-3-(2-(3,3-dimethyl-5-sulfo-1-(4-sulfo-butyl)-3H-indol-2-yl)-vinyl)-cyclohex-2-enylidene)-ethylidene)-3,3-dimethyl-1-(4-sulfo-butyl)-2,3-dihydro-1H-indole-5-carboxylic acid Chromosomes Chromosome Segregation Consensus Sequence Culicidae Ethidium Bromide Gels Genes Genetic Polymorphism Genome Heterozygote Magnesium Chloride Neutrophil Oligonucleotide Primers Plague prisma Restriction Fragment Length Polymorphism Sepharose Taq Polymerase X Chromosome
To produce the distributions used to generate synthetic mutations, we identified a set of sites heterozygous for natural polymorphisms, regardless of the genotypes called from the sequencing data, taking advantage of the lack of recombination in Heliconius females. F2 offspring receive whole chromosomes from the F1 mother, so SNPs from the same chromosome have identical segregation patterns in the offspring, and segregation patterns for each of the 21 H. melpomene chromosomes for this cross are known (Heliconius Genome Consortium 2012 (link)). We identified SNPs from each chromosome by compiling sites called as heterozygous in the F1 mother, homozygous in the F1 father, and matching one of the chromosome segregation patterns for the bait offspring. Heterozygous focal offspring could then be identified based on segregation pattern, without reference to their sequenced genotype. We used these heterozygous focal offspring to tabulate frequency distributions of numbers of nonreference base calls for read depths 1, … 100 (see fig. 1).
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Publication 2014
Chromosomes Chromosome Segregation Females Genetic Polymorphism Genome Genotype Heterozygote Homozygote Mothers Mutation Recombination, Genetic Single Nucleotide Polymorphism

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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
We used a chromosome segregation assay modified from Rand et al. (2001) (link) to quantify fitness effects of mitochondrial-nuclear interactions (Figure 2). In this assay, individuals competed in the same vial with siblings carrying a visibly-marked X chromosome (FM6) that confers a Bar eye phenotype. Relative fitness was measured as the egg-to-adult viability of wild-type individuals relative to their FM6-bearing siblings across the 35 mitochondrial-nuclear genotypes (Table 1). Differences between nuclear genotypes in the relative competitive viability of wild-type flies compared to their FM6 siblings result from viability effects of the X chromosome directly competing with FM6, and genetic interactions between the wild-type or FM6 X chromosomes and the autosomes. Differences between mitochondrial-nuclear genotypes in relative competitive viability result from interactions between the mitochondrial genome and the wild-type or FM6 X chromosomes, or more complex interactions between the X chromosome, the autosomes, and the mtDNA. The advantages of this assay are that competing individuals share the same common rearing environment, and genotypes are easily inferred from the Bar phenotype. In males, differences in relative competitive viability arise from the hemizygous effects of X-linked variants in combination with the mitochondrial-nuclear genotype. In females, viability effects of wild-type X-linked variants that are completely dominant to FM6 when combined with particular mitochondrial-nuclear genomes will not be detected in this assay.
We generated strains carrying an FM6 chromosome in both the Ore and Aut nuclear backgrounds. Females of each mitochondrial-nuclear genotype were mated to males carrying the FM6 chromosome in the same autosomal background. For the segregation assay, the resulting heterozygous females (Aut/FM6;Aut;Aut or Ore/FM6;Ore;Ore) were crossed to Aut or Ore males, respectively (Figure 2A). All offspring from these crosses inherit the mtDNA from the initial female. Female offspring were scored as either wild-type homozygotes or Bar heterozygotes, and male offspring were either wild-type or Bar hemizygotes. Relative competitive viability was calculated for each sex in each vial as the number of wild-type offspring divided by one plus the total progeny of that sex emerging from that vial (Haldane 1956 ), and is the measure of relative fitness used throughout.
Publication 2010
Adult Bears Biological Assay Chromosomes Chromosome Segregation Diptera DNA, Mitochondrial Females Genome, Mitochondrial Genotype Hemizygote Heterozygote Homozygote Males Mitochondrial Inheritance Phenotype Sibling Strains X Chromosome
All plasmids used in this study are listed in Table 2. A PCC 7002 ΔacsA mutant (BPSyn_006) was constructed by double homologous recombination as previously described [25 ]. Briefly, a linear DNA fragment was constructed containing a streptomycin resistance marker derived from pSRA81 (aadA) flanked by approximately 600 bp regions that are homologous to regions directly 5’ and 3’ of the acsA (SYNPCC7002_A1838) gene. The acsA upstream and acsA downstream pieces were individually amplified using the primers in Table 3, digested, and then ligated together with the digestion fragment of pSRA81. The resulting fragment was PCR amplified and transformed into wild type PCC 7002. A similar protocol was used to replace acsA with a 40 bp barcode sequence, resulting in strain BPSyn_014. A linear fragment was created with 600 bp homologous regions and a 40 bp barcode sequence in between. This fragment was transformed into PCC 7002 and mutants were selected on plates containing 50 µM acrylate. Positive clones were streaked out on plates containing 10 mM acrylate to achieve complete chromosomal segregation. The resulting mutant had a deletion of acsA without a residual antibiotic resistance cassette. Complementation of acsA was performed through the introduction of acsA under the native acsA promoter into glpK (SYNPCC7002_A2842). Due to a frameshift mutation, glpK is a pseudogene in PCC 7002. For this reason, glpK was chosen as a neutral insertion site. Plasmids pGLPK_acsA_SpR and pGLPK_acsAW49L_SpR were constructed with homologous flanking regions to replace glpK with either (1) a wild type copy of acsA or (2) acsAW49L under the native acsA promoter along with a streptomycin resistance marker, using the in vitro recombination method using primers in Table 3 [26 (link)]. Plasmids pACSA_pcpcB_YFP and pGLPK_pcpcB_YFP were constructed in a similar manner using the cpcB promoter from PCC 6803 and yellow florescent protein (YFP) gene from plasmid pAQ1_Exp_YFP built by Xu et al. [27 ]. All cyanobacterial strains were screened by colony PCR for proper integration and full segregation of all chromosomes.
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Publication 2013
acrylate Antibiotic Resistance, Microbial Chromosome Segregation Clone Cells Cyanobacteria Deletion Mutation Digestion Frameshift Mutation Gene Products, Protein Genes Homologous Recombination In Vitro Techniques Oligonucleotide Primers Plasmids Proteins Pseudogenes Recombination, Genetic Strains Streptomycin

Most recents protocols related to «Chromosome Segregation»

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Publication 2023
Anaphase Chromatin Chromosomes Chromosome Segregation Eosin Light Microscopy Neoplasm Metastasis Neoplasms Tissues

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Publication 2023
Catabolism Cells Chromatids Chromosome Segregation Division, Cell Histone H2b Microscopy Microscopy, Phase-Contrast Nuclear Envelope
The ABC superfamily of transporters is an ancient, diverse and ubiquitous group of transporters, present throughout all kingdoms of life [36 (link)]. This superfamily, which performs both uptake and efflux duties, comprises a large number of families and subfamilies. These are defined based primarily on the significant evolutionary and structural variation in the membrane component, as these are highly conserved, comprising a number of motifs and regions that are well characterized [37–39 (link)].The Pfam family ABC_tran PF00005 (https://www.ebi.ac.uk/interpro/entry/pfam/PF00005/) identifies the highly conserved ATP-binding cassette, which binds and hydrolyses ATP, thereby coupling transport to ATP hydrolysis in a large number of biological processes. Besides transporter ATP-binding cassettes, PF00005 also identifies a group of ATPases, e.g. excinuclease ATPase (UvrA), chromosome segregation ATPase (Smc), recombinational DNA repair ATPase (RecF) and ATPases involved in chromosome partitioning (Soj, Mrp), as well as a group of CBS-domain-containing transcriptional regulators and signal transduction proteins. To remove these false positives, we set up a series of negative rules whereby all putative ABC transporters, based on an inclusive and promiscuous search with PF00005, that also have positive hits to the COGs representing these non-transporter ATPases and CBS-domain-containing proteins (shown in Table 1) are deleted. Furthermore, a text search of the annotation of blastp matches to the NR database is also conducted, and where the top hits are found to contain keywords shown in Table 1, these entries are also removed. These rules assist in the specific identification of ATP-binding cassette transporters.
The submission database is polled every 24 h and new submissions are automatically processed via the TransAAP pipeline on a dedicated Linux cluster, running the relevant searches and predicting the complete transporter contents, then uploading all the results into the TransportDB MySQL database. Users can check the status of the annotation of their submitted genomes and once complete can access a list of predicted transporters, or individual transporter annotation pages. Users can view annotation, supporting evidence, and curate the annotation on each individual transporter annotation page, or download the result as a tab delimited text file (Fig. 1).
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Publication 2023
Adenosinetriphosphatase Adenosine Triphosphatases ATP-Binding Cassette Transporters Biological Evolution Biological Processes Chromosomes Chromosome Segregation Genome Hydrolysis Inclusion Bodies Membrane Transport Proteins Proteins Recombinational Repair of DNA Signal Transduction Tissue, Membrane Transcription, Genetic
C. elegans generally reproduce as hermaphrodites, generating sperm during larval development and using those sperm to fertilize oocytes generated during adulthood, a process resulting in low embryo lethality and clonal hermaphroditic offspring. In oocytes, aging and exposure to stressors, including heat and X-irradiation, increase the rate of nondisjunction on the X chromosome, which, upon fertilization, results in increased numbers of aneuploid progeny, which are male and reproduce sexually by mating with hermaphrodites of the same or different genetic backgrounds (57 (link), 58 (link)). Notably, loss-of-function alleles in many meiotic genes result in a high incidence of males among the progeny, called the “him” phenotype (11 (link), 59 (link)). Analysis of these mutants led to identification of genes governing critical stages of chromosomal segregation and DNA repair during meiosis (1922 (link)). Aging, stressors, and many him mutants also induce aneuploidy on autosomes, which results in dead embryos. Males are distinguished from the hermaphrodites by their distinct body shape and tail structure (11 (link)). Male percentage in a brood was calculated as (number of males/total live progeny counted) × 100. An egg/embryo was judged as dead if it failed to hatch after more than 24 hours. Dead embryo frequency was then calculated as (number of dead embryos/total embryos laid) × 100, where total embryos equaled live progeny plus dead embryos. Because males and dead embryos without stressors were relatively rare events, their values were enumerated and presented as combined value from all replicates of all independent experiments showing similar trends. Data involving stressor-induced dead embryos in C. elegans where the frequency is higher are presented as values from individual replicates of the experiment, and 95% confidence intervals presented show the extent of inter-replicate variability when data from independent experiments were combined.
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Publication 2023
Alleles Aneuploidy Body Shape Boys Caenorhabditis elegans Chromosome Segregation Clone Cells DNA Repair DNA Replication Embryo Fertilization Genes Genetic Background Hermaphroditism Larva Males Meiosis Miotics Nondisjunction, Genetic Operator, Genetic Phenotype Roentgen Rays Sperm Sperm Maturation Tail X Chromosome
The NMR was then compared to publicly available mouse (Mus musculus) ovarian development RNAseq data45 (link). The fastq files for the mouse ovarian RNAseq data for E10.5, E13.5, P3, P14, and P28 were downloaded from https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-6798/11 (link). The data were processed using the same pipeline as the NMR RNAseq data, with the exception of using the mouse genome and transcriptome annotation (Mus musculus, ftp://ftp.ensembl.org/pub/release-100/fasta/; GENCODE M25). t-SNE plots for the NMR and mouse RNAseq data were then plotted using the t-SNE wrapper function in M3C76 (link) (Supplementary Fig. 4d-e). Next, a gene list was compiled consisting of the 20 qPCR genes profiled in Supplementary Fig. 5 and the 65 genes that enriched for meiotic pathways in the E56 vs. PND1 comparison (“chromosome organization involved in meiotic cell cycle”, “gamete generation”, “homologous chromosome pairing at meiosis”, “homologous chromosome segregation”, “male gamete generation”, “meiosis I cell cycle process”, “meiotic cell cycle”, “meiotic cell cycle process”, “meiotic chromosome organization” and “meiotic chromosome segregation”, and “nuclear chromosome segregation”). Nine genes overlapped between the two lists (Dmc1, Hormad1, Meiob, MeioC, Rec8, Spo11, Stra8, Sycp1, Sycp3), leaving a total of 76 genes. The gene expression (counts per million) for the gene list was then plotted in a heatmap in the NMR and mouse (Fig. 5b, respectively).
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Publication 2023
Cell Cycle Chromosome Pairing Chromosome Segregation DMC1 protein, human DNA Packaging Gametes Gene Expression Genes Genes, vif Genome Males Meiosis Mice, House Miotics Ovary Physiology, Cell SPO11 protein, human Transcriptome

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More about "Chromosome Segregation"

Chromosome segregation is a critical biological process that ensures the accurate separation of replicated chromosomes into daughter cells during cell division.
This process is essential for the faithful transmission of genetic material to progeny cells.
Proper chromosome segregation requires the coordinated action of various molecular mechanisms, including the mitotic spindle, kinetochore-microtubule attachments, and cell cycle checkpoints.
Dysregulation of chromosome segregation can lead to chromosomal instability and aneuploidy, which are hallmarks of many human diseases, such as cancer.
Researchers studying chromosome segregation can utilize advanced microscopy techniques and reagents to visualize and analyze this process.
For example, the Axio Imager Z2 and Axio Observer Z1 microscopes, coupled with the Orca Flash 4.0 camera and SoftWoRx software, can provide high-resolution imaging of chromosome segregation events.
Additionally, the BX61 fluorescence microscope can be used to track the localization and dynamics of key proteins involved in chromosome segregation, such as those at the kinetochore.
Researchers may also employ chemical agents like Colcemid, DAPI, Glutaraldehyde, and RO-3306 to perturb and study different aspects of the chromosome segregation process.
To optimize their research, scientists can utilize PubCompare.ai, an AI-driven platform that enhances reproducibility and accuracy.
PubCompare.ai enables researchers to easily locate the best protocols from literature, preprints, and patents using intelligent comparisons, streamlining the research process and achieving more reliable results with its cutting-edge technology.
By leveraging these tools and resources, researchers can gain deeper insights into the complex mechanisms of chromosome segregation and their implications for human health and disease.