市场调查报告书
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1398862
单细胞分析:技术成长机会Single-cell Analysis: Technology Growth Opportunities |
单细胞分析的技术进步将带来新的诊断和治疗机会。
单细胞分析可以透过研究细胞内基因组学、转录组学、蛋白质组学、代谢组学和其他细胞间相互作用来诊断异质细胞群样本的状态。它将帮助我们更好地了解肿瘤微环境,并根据新发现的不同肿瘤类型的知识来开发药物。这种分析方法产生的大量资料可以深入了解基因表现和决定病理的其他因素。
这种方法引起了投资者和研究机构的关注,因为它推进了现有的诊断和药物研发方法,但它也存在技术挑战(必须透过技术平台的进步来克服),并且存在一个以大测序为主导的高度竞争的环境已经成长为提供小公司无法提供的端到端解决方案的公司。
许多公司在基因组和转录组层面进行单细胞分析,但只有少数公司进行蛋白质体学和多组体学单细胞分析。技术的进步有助于避免繁琐的过程,例如在文库製备过程中透过独特的条码过程进行单细胞分离。空间体学和活细胞测序等现代方法也补充了现有的单细胞分析过程。这种方法的主要挑战之一是测序结果的资料分析,这是透过云端平台解决的,无需任何生物资讯经验即可操作。使用这种分析方法对尚未理解的主题进行研究有很大的空间,我们确信这种方法将在未来十年内显着增长,希望不仅能改善癌症的诊断,还能改善其他疾病的诊断。
该研究确定了该行业的挑战、驱动因素、新技术平台和成长机会,并预测了成长前景。它还确定了利益相关相关人员和市场参与企业应该利用的着名併购、资金筹措和合作伙伴关係,并概述了相关人员生态系统。
Technological advancements in single-cell analysis propel new diagnostic and therapeutic opportunities.
Single-cell analysis can diagnose a condition in heterogenous cell population samples by studying genomics, transcriptomics, proteomics, metabolomics, and other cellular interactions in cells. It helps to understand a tumor microenvironment better and develop drugs based on newly uncovered knowledge of various types of tumors. The rich data provided through this method of analysis gives in-depth insight into gene expression and other factors determining a pathological condition.
As this method is an advancement to already existing methods of diagnosis and drug discovery, it is gaining the attention of investors and research institutions, although there are a few challenges in terms of technology (which must be navigated through advancements in technology platforms) and the monopoly of large sequencing companies that have grown to provide end-to-end solutions that cannot be provided by small and mid-sized companies, creating an intensely competitive environment.
Many companies perform single-cell analysis at the genomic and transcriptomic levels; however, only a few do the same in proteomic and multi-omics single-cell resolution. Technology advancements are helping to bypass tedious processes, such as single-cell separation through a unique barcoding process during library preparation. Modern methods, including spatial omics and live-cell sequencing, are also complementing the existing single-cell analysis process. One of the major challenges in this method is the data analysis of sequenced results, which is being tackled through cloud platforms that operate without the need for prior bioinformatics experience. There is significant scope for research on topics that are underexplored in this method of analysis, which ensures good growth of this technique in the next decade and promises improved diagnosis not only for cancer but also for other diseases.
This study identifies the challenges, drivers, new technology platforms, and growth opportunities in this space and foresees a growth outlook. It also provides an overview of the stakeholder ecosystem, identifying notable mergers and acquisitions, funding, and partnerships for stakeholders and market participants to leverage.