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REPRODUCTIVE GENETICS: GAMETOGENESIS, MEIOSIS, FERTILIZATION AND GENETIC VARIATION 🎗️

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“Every independently conceived person is biologically and genetically different.” Professor Kenneth K. Kidd 🧬 Reproductive genetics examines how genetic information is transmitted and reshuffled during human reproduction. Gametogenesis, meiosis, fertilization and genetic variation are interconnected processes that generate genetically distinct offspring while maintaining the chromosome complement of the species. 🔹 Gametogenesis produces haploid gametes from germ cells. Spermatogenesis generates spermatozoa in the testes, whereas oogenesis produces mature oocytes in the ovaries. Through these processes, human gametes normally acquire 23 chromosomes, preparing them for the restoration of diploidy at fertilization. 🔹 Meiosis is the specialized cell division underlying gamete formation. After one round of DNA replication, meiosis I separates homologous chromosomes and meiosis II separates sister chromatids. During prophase I, homologous chromosomes undergo recombination a...
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WEEKEND READS 📚

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Recommended book of the weekend: 🍃 ☕ ➡️ "BLOOD MUSIC" By Greg Bear   🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁
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DNA METHYLATION & EPIGENETIC REGULATION: CPG ISLANDS, DNMTS, TET ENZYMES & METHYLATION PATTERNS 🎗

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“DNA methylation is an epigenetic mark” involved in regulating transcription and maintaining cellular identity. -Dr. Peter A. Jones 🧬 DNA methylation is an epigenetic mechanism regulating gene activity without changing the DNA sequence. Most commonly, a methyl group is added to the 5-carbon of cytosine within 5′-CpG-3′ dinucleotides, forming 5-methylcytosine (5mC). It contributes to transcriptional regulation, cellular differentiation, genomic stability, development, genomic imprinting and cell identity. 🔹 CpG islands are GC- and CpG-rich regions, often near gene promoters. Many promoter-associated CpG islands remain unmethylated when genes are active, whereas aberrant promoter methylation can contribute to transcriptional repression through altered regulatory-factor binding and recruitment of chromatin-remodelling proteins. Importantly, methylation is context-dependent: its effects vary across promoters, enhancers, gene bodies and repetitive elements. 🔹 DNMTs are the pr...
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WEEKEND READS 📚

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Recommended book of the weekend: 🍃 ☕ ➡️ "NEXUS" By Yuval Noah Harari   🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁
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HUMAN GENOME PROJECT, PANGENOME, AND GENOME ARCHITECTURE 🎗

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"The genome is the software of life." - J. Craig Venter 🧬 The Human Genome Project (HGP) was one of the most transformative achievements in modern biology. Launched in 1990 and completed in 2003, this international collaboration produced the first human reference genome (3.2 billion base pairs), transforming biomedical research. It accelerated next-generation sequencing, bioinformatics, precision medicine, and our understanding of inherited diseases, cancer, infectious diseases, and human evolution.      🔹 Despite its success, the HGP had important limitations. The original reference genome was derived from a limited number of individuals and could not fully represent global human genetic diversity. Highly repetitive regions, structural variants, centromeres, telomeres, and population-specific sequences remained incomplete. In 2022, the Telomere-to-Telomere (T2T) Consortium generated the first essentially complete human genome, demonstrating that a single li...
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WEEKEND READS 📚

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Recommended book of the weekend: 🍃 ☕ ➡️ "BEGGARS IN SPAIN" By Nancy Kress   🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁🍁
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MULTI-OMICS DATA INTEGRATION 🎗️

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"We're seeing the dawn of a new era in medicine." - Dr. Eric Topol 🧬 Multi-omics data integration is transforming biomedical research by combining multiple biological layers (genomics, transcriptomics, epigenomics, proteomics, metabolomics, lipidomics, and microbiomics) into a unified systems-level perspective. Rather than studying a single molecular layer, this approach reveals how genes, proteins, metabolites, and environmental factors interact to regulate health and disease. Rapid advances in next-generation sequencing (NGS), mass spectrometry, and AI-driven computational biology have made integrated multi-omics indispensable for decoding biological complexity. 🔹 Most disorders (including cancer, diabetes, cardiovascular, and neurodegenerative diseases) result from interconnected molecular alterations rather than isolated genetic changes. Integrating multi-omics data uncovers regulatory networks, improves biomarker discovery, refines disease classification, and suppo...
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