AIMC Topic: Meiosis

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Fluo-Cast-Bright: a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live oocytes.

Communications biology Jan 29, 2025
In mammalian oocytes, large-scale chromatin organization regulates transcription, nuclear architecture, and maintenance of chromosome stability in preparation for meiosis onset. Pre-ovulatory oocytes with distinct chromatin configurations exhibit pro...
Female Animals Oocytes Meiosis Chromatin Gene Expression Profiling Deep Learning Mice
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Feedback regulation of mA modification creates local auxin maxima essential for rice microsporogenesis.

Developmental cell Jan 13, 2025
N-methyladenosine (mA) RNA modification and its effectors control various plant developmental processes, yet whether and how these effectors are transcriptionally controlled to confer functional specificity so far remain elusive. Herein, we show that...
Oryza Flowers Adenosine Gene Expression Regulation, Plant Feedback, Physiological Plant Proteins Gametogenesis, Plant Indoleacetic Acids Meiosis
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High-throughput classification of S. cerevisiae tetrads using deep learning.

Yeast (Chichester, England) Jun 8, 2024
Meiotic crossovers play a vital role in proper chromosome segregation and evolution of most sexually reproducing organisms. Meiotic recombination can be visually observed in Saccharomyces cerevisiae tetrads using linked spore-autonomous fluorescent m...
Deep Learning Image Processing, Computer-Assisted High-Throughput Screening Assays Crossing Over, Genetic Saccharomyces cerevisiae Meiosis Chromosome Segregation
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Machine-learning predicts genomic determinants of meiosis-driven structural variation in a eukaryotic pathogen.

Nature communications Jun 10, 2021
Species harbor extensive structural variation underpinning recent adaptive evolution. However, the causality between genomic features and the induction of new rearrangements is poorly established. Here, we analyze a global set of telomere-to-telomere...
Genetic Variation Polymorphism, Genetic Ascomycota Pedigree Meiosis Eukaryota Polymorphism, Single Nucleotide Models, Genetic Evolution, Molecular Phylogeny Genome-Wide Association Study Machine Learning Genomics Computer Simulation Genes, Duplicate Arabidopsis Genome Sequence Inversion Retroelements INDEL Mutation Crossing Over, Genetic Chromosomes
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DeepTetrad: high-throughput image analysis of meiotic tetrads by deep learning in Arabidopsis thaliana.

The Plant journal : for cell and molecular biology Oct 22, 2019
Meiotic crossovers facilitate chromosome segregation and create new combinations of alleles in gametes. Crossover frequency varies along chromosomes and crossover interference limits the coincidence of closely spaced crossovers. Crossovers can be mea...
Arabidopsis Proteins Arabidopsis Pollen Alleles Transgenes Homologous Recombination Crossing Over, Genetic Meiosis Deep Learning Chromosome Segregation Chromosomes, Plant
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In vitro growth and maturation of isolated caprine preantral follicles: Influence of insulin and FSH concentration, culture dish, coculture, and oocyte size on meiotic resumption.

Theriogenology Nov 9, 2016
The aims of this study were: (1) to evaluate the effect of different insulin concentrations, alone or in combination with either a fixed FSH concentration or increasing FSH concentrations on the in vitro culture of isolated caprine preantral follicle...
Oocytes Culture Media In Vitro Oocyte Maturation Techniques Female Follicle Stimulating Hormone Meiosis Animals Coculture Techniques Goats Insulin Ovarian Follicle
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Deep learning-driven imaging of cell division and cell growth across an entire eukaryotic life cycle.

Molecular biology of the cell Jun 1, 2025
The life cycle of eukaryotic microorganisms involves complex transitions between states such as dormancy, mating, meiosis, and cell division, which are often studied independently from each other. Therefore, most microbial life cycles are theoretical...
CDC2 Protein Kinase Algorithms Deep Learning Cell Division Cell Proliferation Life Cycle Stages Meiosis Saccharomyces cerevisiae Proteins Saccharomyces cerevisiae Cell Cycle
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Deep learning identifies and quantifies recombination hotspot determinants.

Bioinformatics (Oxford, England) May 13, 2022
MOTIVATION: Recombination is one of the essential genetic processes for sexually reproducing organisms, which can happen more frequently in some regions, called recombination hotspots. Although several factors, such as PRDM9 binding motifs, are known...
Deep Learning Meiosis Recombination, Genetic
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Thousands of induced germline mutations affecting immune cells identified by automated meiotic mapping coupled with machine learning.

Proceedings of the National Academy of Sciences of the United States of America Jul 13, 2021
Forward genetic studies use meiotic mapping to adduce evidence that a particular mutation, normally induced by a germline mutagen, is causative of a particular phenotype. Particularly in small pedigrees, cosegregation of multiple mutations, occasiona...
Flow Cytometry Leukocytes Probability Automation Meiosis Germ-Line Mutation Male Mice Mice, Inbred C57BL Female Reproducibility of Results Animals Machine Learning Software Algorithms Phenotype
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