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Omics - 版本历史
2026-04-09T17:24:56Z
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2026-02-03T02:43:53Z
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<strong>Omics</strong>（组学）是现代生物学中一组以“-omics”为后缀的学科的统称，旨在对生物体内的某类分子进行<strong>高通量 (High-throughput)</strong>、<strong>整体性 (Holistic)</strong> 的定性与定量分析。与传统的“还原论”研究（关注单个基因或蛋白质）不同，Omics 致力于描绘生物分子的全貌。其核心层级对应着生物学的<strong>中心法则 (Central Dogma)</strong>：从 <strong>[[Genomics]]</strong> (DNA)、<strong>[[Transcriptomics]]</strong> (RNA)、<strong>[[Proteomics]]</strong> (蛋白质) 到 <strong>[[Metabolomics]]</strong> (代谢物)。近年来，随着 <strong>[[Multi-omics]] (多组学)</strong> 整合分析的兴起，Omics 已成为 <strong>[[Systems Biology]] (系统生物学)</strong> 和 <strong>[[Precision Medicine]] (精准医疗)</strong> 的数据基石。<br />
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<div style="font-size: 1.2em; font-weight: bold; letter-spacing: 1.2px;">Omics</div><br />
<div style="font-size: 0.7em; opacity: 0.85; margin-top: 4px; white-space: nowrap;">Integrative Biology Fields (点击展开)</div><br />
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<div style="font-size: 0.8em; color: #64748b; margin-top: 12px; font-weight: 600;">生物大数据的全景视图</div><br />
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<td style="padding: 6px 12px; border-bottom: 1px solid #e2e8f0; color: #0f172a;">希腊语 -ome (整体)</td><br />
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<th style="text-align: left; padding: 6px 12px; background-color: #f8fafc; color: #475569; border-bottom: 1px solid #e2e8f0;">核心特征</th><br />
<td style="padding: 6px 12px; border-bottom: 1px solid #e2e8f0; color: #1e40af;">高通量 (High-throughput)</td><br />
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<td style="padding: 6px 12px; border-bottom: 1px solid #e2e8f0; color: #16a34a;">[[Bioinformatics]] / AI</td><br />
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<th colspan="2" style="padding: 8px 12px; background-color: #e0f2fe; color: #1e40af; text-align: left; font-size: 0.9em; border-top: 1px solid #bae6fd;">主要分支</th><br />
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<td style="padding: 6px 12px; border-bottom: 1px solid #e2e8f0; color: #0f172a;">[[Genomics]]</td><br />
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<td style="padding: 6px 12px; border-bottom: 1px solid #e2e8f0; color: #0f172a;">[[Proteomics]]</td><br />
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<th style="text-align: left; padding: 6px 12px; background-color: #f8fafc; color: #475569;">代谢层</th><br />
<td style="padding: 6px 12px; color: #0f172a;">[[Metabolomics]]</td><br />
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Omics 学科群通常按照生物信息的流动方向进行分层。每一层都提供了理解生命现象的不同视角：<br />
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<th style="padding: 12px; border: 1px solid #cbd5e1; color: #0f172a; width: 20%;">学科</th><br />
<th style="padding: 12px; border: 1px solid #cbd5e1; color: #1e40af; width: 25%;">研究对象</th><br />
<th style="padding: 12px; border: 1px solid #cbd5e1; color: #475569;">核心技术与意义</th><br />
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<td style="padding: 10px; border: 1px solid #cbd5e1; font-weight: 600;">[[Genomics]]</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;">DNA 序列</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;"><strong>[[NGS]]</strong>。揭示“可能发生什么” (What can happen)。是生命的蓝图。</td><br />
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<td style="padding: 10px; border: 1px solid #cbd5e1;">RNA 转录本</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;"><strong>RNA-Seq</strong>。揭示“正在发生什么” (What is happening)。反映基因表达的动态。</td><br />
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<td style="padding: 10px; border: 1px solid #cbd5e1;">蛋白质</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;"><strong>Mass Spectrometry (质谱)</strong>。揭示“执行功能的是什么” (What makes it happen)。是功能的直接执行者。</td><br />
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<td style="padding: 10px; border: 1px solid #cbd5e1; font-weight: 600;">[[Metabolomics]]</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;">小分子代谢物</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;"><strong>NMR / LC-MS</strong>。揭示“最终发生了什么” (What has happened)。最接近表型 (Phenotype)。</td><br />
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单一组学（如仅看基因组）往往只能提供管中窥豹的视角。<strong>Multi-omics</strong> 指的是整合多个层级的数据，以构建更完整的生物系统模型。<br />
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<li style="margin-bottom: 8px;"><strong>[[Epigenomics]] (表观组学)：</strong> 研究 DNA 甲基化和组蛋白修饰。</li><br />
<li style="margin-bottom: 8px;"><strong>[[Metagenomics]] (宏基因组学)：</strong> 研究环境样本（如肠道菌群）中所有微生物的遗传物质。</li><br />
<li style="margin-bottom: 0;"><strong>[[Radiomics]] (影像组学)：</strong> 从医学影像（CT, MRI）中提取大量定量特征。</li><br />
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<span style="color: #0f172a; font-weight: bold; font-size: 1.05em; display: inline-block; margin-bottom: 15px;">学术参考文献 [Academic Review]</span><br />
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[1] <strong>Hasin Y, Seldin M, Lusis A. (2017).</strong> <em>Multi-omics approaches to disease.</em> <strong>[[Genome Biology]]</strong>. <br><br />
<span style="color: #475569;">[点评]：经典综述，详细阐述了整合基因组、转录组和蛋白质组数据以解析复杂疾病机制的方法论。</span><br />
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[2] <strong>Joyce AR, Palsson BØ. (2006).</strong> <em>The omics revolution and systems biology.</em> <strong>[[Nature Reviews Molecular Cell Biology]]</strong>. <br><br />
<span style="color: #475569;">[点评]：回顾了组学技术的爆发如何催生了系统生物学，以及自下而上重建生物网络的挑战。</span><br />
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[3] <strong>Karczewski KJ, Snyder MP. (2018).</strong> <em>Integrative omics for health and disease.</em> <strong>[[Nature Reviews Genetics]]</strong>. <br><br />
<span style="color: #475569;">[点评]：Michael Snyder 团队的文章，探讨了在精准医疗时代，如何利用个人多组学图谱（iPOP）进行健康管理。</span><br />
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生物技术全景 · 知识图谱<br />
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<td style="padding: 10px 15px; color: #334155;">[[Genomics]] • [[Transcriptomics]] • [[Proteomics]] • [[Metabolomics]]</td><br />
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<td style="width: 85px; background-color: #f8fafc; color: #334155; font-weight: 600; padding: 10px 12px; text-align: right; vertical-align: middle;">使能技术</td><br />
<td style="padding: 10px 15px; color: #334155;">[[NGS]] • [[Mass Spectrometry]] • [[Single-cell Sequencing]]</td><br />
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<td style="padding: 10px 15px; color: #334155;">[[Systems Biology]] • [[Multi-omics]] • [[Precision Medicine]]</td><br />
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