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Science:使用AI模型预测哪些启动子突变会改变基因表达
生物世界· 2025-08-11 04:02
Core Viewpoint - The article discusses the development of PromoterAI, an AI model by Illumina researchers, which accurately predicts expression-altering mutations in non-coding promoter regions, highlighting its significance in understanding genetic mutations and their impact on human health and rare diseases [3][4][6]. Group 1: PromoterAI Development and Functionality - PromoterAI is a deep learning model designed to predict the effects of promoter mutations on gene expression by evaluating genomic sequences in promoter regions [6]. - The model was trained at single nucleotide resolution to predict histone modifications, DNA accessibility, transcription factor binding, and gene expression around transcription start sites [6][9]. - The research team constructed a training dataset containing thousands of rare promoter mutations associated with abnormal gene expression across various tissues, controlling for confounding variables [6][9]. Group 2: Research Findings and Implications - The study found that predicted expression-altering promoter mutations were significantly enriched in clinically relevant genes of rare disease patients, contributing to 6% of the genetic burden associated with rare diseases [4][9]. - Analysis of population allele frequency spectra showed a significant depletion of predicted harmful mutations, indicating natural selection's role in removing deleterious mutations [7]. - PromoterAI's predictions were strongly correlated with protein abundance and quantitative trait measurements, enhancing the understanding of genetic contributions to rare diseases [7][9]. Group 3: Clinical Applications and Future Directions - The model was applied to undiagnosed rare disease patients in the Genomics England cohort, revealing a specific enrichment of predicted mutations in the promoter regions of Mendelian disease genes [7][9]. - PromoterAI fills a critical gap in genomic interpretation by accurately detecting promoter mutations that affect gene expression, which is often overlooked in current clinical genomic analyses focused on coding region mutations [9].
Illumina Stock May Benefit From New Agreement to Acquire SomaLogic
ZACKS· 2025-06-26 13:10
Company Overview - Illumina, Inc. (ILMN) has entered into a definitive agreement to acquire SomaLogic for $350 million in cash, with potential additional payments of up to $75 million based on performance milestones and royalties [1][9] - The acquisition aims to enhance Illumina's position in the growing proteomics market and support its multiomics strategy announced last year, with the deal expected to close in the first half of 2026 [2][9] Financial Performance - Illumina currently has a market capitalization of $14.49 billion and an earnings yield of 4.6%, significantly higher than the industry's -27.7% yield [4] - The company has consistently beaten earnings estimates, achieving an average earnings beat of 56.4% over the past four quarters [4] Strategic Importance of Acquisition - The acquisition builds on a previous co-development agreement with SomaLogic, which focuses on integrating the SomaScan Proteomics Assay into Illumina's high-throughput next-generation sequencing platforms [5] - SomaLogic's technology is recognized for its scalability and reproducibility, allowing researchers to gain significant insights with high sensitivity and throughput [5] Market Prospects - The global proteomics market is projected to reach $41.65 billion by 2025, growing at a compound annual growth rate (CAGR) of 14.9% by 2034, driven by ongoing R&D and the demand for personalized medicine [11] - Illumina expects the SomaLogic business to become profitable by 2027, with strong non-GAAP margin potential aligning with Illumina's margins by 2028 [9][10] Stock Performance - Following the acquisition announcement, ILMN shares increased by 2.9%, closing at $93.23, and have risen 14% over the past month compared to the industry's 2.5% growth [3][13]
Illumina Introduces a New AI algorithm PromoterAI: Stock to Gain?
ZACKS· 2025-05-30 14:31
Company Overview - Illumina Inc. has introduced PromoterAI, an AI algorithm designed to interpret pathogenic regulatory genetic variants in noncoding regions of the human genome, aimed at accelerating breakthroughs in rare disease diagnosis [1][5] - The company has a market capitalization of $13.34 billion and an earnings yield of 5.1%, significantly higher than the industry's -31.7% [4] Product Development - PromoterAI is the latest addition to Illumina's AI and software portfolio, following previous innovations like SpliceAI and PrimateAI-3D, which enhance the understanding of genetic mutations and their implications [3] - PromoterAI will be accessible through Illumina Connected Software and is integrated into DRAGEN secondary analysis, with precomputed scores available for academic and noncommercial research [6] Market Impact - The introduction of PromoterAI is expected to improve diagnostic rates for rare diseases, as currently only about 30% of patients receive accurate diagnoses from exome sequencing, with insights often hidden in noncoding regions [7] - The AI in the genomics market is projected to grow from $1.40 billion in 2025 to $44.93 billion by 2034, with a compound annual growth rate of 47%, driven by demand for precision medicine and increased R&D expenditure [11] Regulatory Developments - Illumina has received approval from Japan's Ministry of Health for its TruSightTM Oncology Comprehensive, marking a significant advancement in genomic profiling for cancer diagnostics [12] Stock Performance - Following the announcement of PromoterAI, ILMN's shares experienced a slight decline of 0.2%, closing at $84.28 [2] - Over the past three months, ILMN's shares have increased by 0.1%, contrasting with an 8.5% decline in the industry [13]
Illumina unveils PromoterAI, a groundbreaking algorithm to accelerate insights for rare disease diagnosis
Prnewswire· 2025-05-29 18:01
Core Insights - Illumina Inc. has launched PromoterAI, an AI algorithm designed to decipher pathogenic regulatory genetic variants in noncoding regions of the human genome, which is expected to enhance the diagnosis of rare diseases [1][2][5] - The study published in Science indicates that regulatory variants in noncoding "promoter" segments contribute up to 6% of the genetic causes of rare diseases [1][2] - Currently, only about 30% of rare disease patients receive accurate diagnoses from exome sequencing, highlighting the potential of PromoterAI to improve diagnostic rates by analyzing noncoding regions that comprise over 98% of the genome [3] Technology and Functionality - PromoterAI interprets the genetic sequence of promoters, which are crucial noncoding elements that initiate gene transcription, thereby facilitating precise diagnoses for patients with rare diseases [4][5] - The algorithm is built on advanced deep learning neural networks, providing unprecedented precision in interpreting promoter variants and aiding in understanding the etiology and drug target potential for various diseases [5][6] - PromoterAI is part of a suite of AI tools from Illumina, including SpliceAI and PrimateAI-3D, which together can double the diagnostic yield compared to using protein-truncating variants alone [6] Accessibility and Integration - PromoterAI is accessible through Illumina Connected Software and is available as part of DRAGEN™ secondary analysis, with precomputed scores for human promoter single-nucleotide variants available for academic and noncommercial research [8] - The software supports seamless integration with next-generation sequencing and array workflows, enabling researchers and clinical geneticists to prioritize important variants and gain critical insights [8]