{"slug":"alphagenome-2-deciphering-how-cells-read-dna-to-d70977e4","url":"https://silinex.xyz/wire/alphagenome-2-deciphering-how-cells-read-dna-to-d70977e4","json_url":"https://silinex.xyz/wire/alphagenome-2-deciphering-how-cells-read-dna-to-d70977e4.json","md_url":"https://silinex.xyz/wire/alphagenome-2-deciphering-how-cells-read-dna-to-d70977e4.md","headline":"AlphaGenome 2: Deciphering how cells read DNA to better understand disease","headline_zh":"AlphaGenome 2：解读细胞如何读取DNA，以更深入理解疾病","title":"AlphaGenome 2: Deciphering how cells read DNA to better understand disease","summary":"According to public reporting via Google DeepMind Blog, predicting how DNA sequences and their variations impact specific human cell types and disease.","summary_zh":"据Google DeepMind博客的公开报道，预测DNA序列及其变异如何影响特定的人类细胞类型与疾病。","date_published":"2026-11-11T15:00:15.000+00:00","date_modified":"2026-11-12T10:20:27.181+00:00","author":{"type":"Organization","name":"Google DeepMind Blog","url":"https://deepmind.google/blog/alphagenome-2-deciphering-how-cells-read-dna-to-better-understand-disease/"},"publisher":{"name":"Silicon Nexus","url":"https://silinex.xyz/"},"category":"ai","language":"en","source_url":"https://deepmind.google/blog/alphagenome-2-deciphering-how-cells-read-dna-to-better-understand-disease/","source_name":"Google DeepMind Blog","key_facts":["Predicting how DNA sequences and their variations impact specific human cell types and disease.","November 11, 2026 Science Adam Gayoso, Natasha Latysheva, Pushmeet Kohli and Žiga Avsec Read the paper Share Our next-generation DNA sequ…","Today, we are announcing AlphaGenome 2, our next-generation model that predicts how DNA sequences and their variations impact specific hu…","Cells are the building blocks of life."],"key_facts_zh":["预测DNA序列及其变异如何影响特定的人类细胞类型与疾病。","2026年11月11日 科学 作者：Adam Gayoso、Natasha Latysheva、Pushmeet Kohli 与 Žiga Avsec 阅读论文 分享 我们的下一代DNA测序……","今天，我们发布AlphaGenome 2——我们的下一代模型，可预测DNA序列及其变异如何影响特定的人类……","细胞是生命的基本构成单元。"],"body_md":"## Wire brief\n\nAccording to public reporting via Google DeepMind Blog, predicting how DNA sequences and their variations impact specific human cell types and disease.\n\nIn related context, november 11, 2026 Science Adam Gayoso, Natasha Latysheva, Pushmeet Kohli and Žiga Avsec Read the paper Share Our next-generation DNA sequence model bridges single-cell biology and human genetics, predicting how genetic variants affect hundreds of human cell types. Today, we are announcing AlphaGenome 2, our next-generation model that predicts how DNA sequences and their variations impact specific human cell types, giving scientists a powerful new tool to uncover the cellular drivers of disease. Cells are the building blocks of life.\n\nReporting also notes that every cell in our body carries the same DNA blueprint, yet each cell type and state—like a heart muscle cell or an immune cell fighting an infection—switches different genes on or off to do its job. Global efforts like the Human Cell Atlas are mapping this gene expression for millions of cells, but it is still an unsolved challenge to predict how subtle DNA variations affect this expression in cells, which is a key driver of human traits and disease. Last year, we launched AlphaGenome to predict how DNA variants affect molecular activity across broad tissues. We expanded its reach with AlphaGenome Atlas , a platform containing predictions for all 9 billion possible single-letter changes in the human genome.\n\nPoints still worth watching: These tools help researchers prioritize and interpret variant effects, driving discoveries in rare diseases, complex traits, and fundamental biology. This Silicon News Wire item is a paraphrased brief; full wording remains on the origin page.\n\n## Source & notice\n\nThis Silicon News Wire brief paraphrases public reporting from **Google DeepMind Blog** for carbon readers and silicon citation. **It is not a verbatim full-text reprint.**\n\nRead the original: [AlphaGenome 2: Deciphering how cells read DNA to better understand disease](https://deepmind.google/blog/alphagenome-2-deciphering-how-cells-read-dna-to-better-understand-disease/)\n","body_md_zh":"## 电讯正文\n\n据Google DeepMind博客的公开报道，预测DNA序列及其变异如何影响特定的人类细胞类型与疾病。\n\n在相关背景下，2026年11月11日《科学》杂志刊登了Adam Gayoso、Natasha Latysheva、Pushmeet Kohli与Žiga Avsec的文章。阅读论文并分享。我们的下一代DNA序列模型架起了单细胞生物学与人类遗传学之间的桥梁，能够预测遗传变异如何影响数百种人类细胞类型。今天，我们宣布推出AlphaGenome 2——我们的下一代模型，它可预测DNA序列及其变异如何影响特定的人类细胞类型，为科学家提供了一款强大的新工具，用以揭示疾病的细胞层面驱动因素。细胞是生命的基本构成单元。\n\n报道还指出，人体内的每一个细胞都携带相同的DNA蓝图，但每一种细胞类型和状态——例如心肌细胞或正在对抗感染的免疫细胞——都会开启或关闭不同的基因以履行其职能。“人类细胞图谱”等全球性计划正在绘制数百万细胞的基因表达图谱，但预测细微的DNA变异如何影响细胞中的这种表达仍是一个未解难题，而这一表达正是人类性状与疾病的关键驱动因素。去年，我们推出了AlphaGenome，用于预测DNA变异如何影响广泛组织中的分子活动。我们通过AlphaGenome Atlas进一步拓展了其覆盖范围，该平台包含了对人类基因组中全部90亿种可能的单字母变化的预测。\n\n仍值得关注的要点：这些工具有助于研究人员对变异效应进行优先级排序和解读，推动罕见病、复杂性状及基础生物学领域的发现。本Silicon News Wire条目为改写摘要；完整原文仍保留在原始页面。\n\n## 来源与声明\n\n本电讯由 Silicon News Wire 依据 **Google DeepMind Blog** 公开报道做要点改写与润色，便于碳基阅读与硅基引用；**不是原文全文转载**。\n\n阅读原文：[AlphaGenome 2：解读细胞如何读取DNA，以更深入理解疾病](https://deepmind.google/blog/alphagenome-2-deciphering-how-cells-read-dna-to-better-understand-disease/)\n","observations":{"human":6,"bot":8,"crawlers":[{"crawlerId":"AhrefsBot","hits":3,"lastSeenAt":"2026-11-12T11:01:25.687Z"},{"crawlerId":"ClaudeBot","hits":2,"lastSeenAt":"2026-11-12T12:52:49.799Z"},{"crawlerId":"Googlebot","hits":2,"lastSeenAt":"2026-11-12T08:09:12.869Z"},{"crawlerId":"Amazonbot","hits":1,"lastSeenAt":"2026-11-12T08:55:45.914Z"}],"last_seen_at":"2026-11-12T12:52:49.799Z","note":"Counts are request logs classified by User-Agent. User-Agents can be spoofed. This is not proof of search-engine or LLM inclusion."}}