基底细胞模型的基准测试用于后扰动RNA-seq预测.
Gerold Csendes1, Gema Sanz1, Kristóf Z Szalay1
1Turbine Ltd., Budapest, Hungary.
BMC genomics
|April 24, 2025
概括
预测细胞对干扰的反应至关重要. 目前的基础细胞模型,如scGPT和scFoundation,表现低于简单的基线,表明基因表达预测的基准测试和数据集存在问题.
科学领域:
- 计算生物学 计算生物学
- 基因组学就是基因组学.
- 系统生物学 系统生物学
背景情况:
- 准确预测细胞对干扰的反应对于理解健康和疾病中的细胞行为至关重要.
- 在大规模单细胞基因表达数据上预先训练的基础细胞模型是预测扰动后形状的最先进技术.
- 然而,由于数据的局限性,对这些模型进行可靠的基准测试仍然是一个重大挑战.
研究的目的:
- 为了对最近开发的基础细胞模型 (scGPT,scFoundation) 与基线模型的性能进行基准测试,用于预测细胞干扰后的基因表达.
- 确定当前基准测试方法和基准数据集的局限性,用于评估后扰动基因表达预测模型.
主要方法:
- 对scGPT和scFoundation与各种基线模型进行比较比较,包括简单的统计方法和包含生物特征的机器学习模型.
- 对现有的Perturb-Seq基准数据集的模型性能评估.
主要成果:
- 令人惊的是,最简单的基线模型 (训练示例的平均值) 的表现优于scGPT和scFoundation.
- 结合具有生物意义的特征的机器学习模型显著优于scGPT.
- 发现Perturb-Seq基准数据集具有较低的扰动特异差,这使得它们在模型评估中变得不理想.
结论:
- 目前的基础细胞模型可能不会比更简单的方法提供显著的优势,用于后扰动基因表达的预测.
- 现有的基准数据集和评估策略不足以准确评估这些先进模型的性能.
- 需要进一步的研究来开发更有效的基准测试方法和数据集,以便对细胞响应预测模型进行可靠的评估.
相关概念视频
RNA-seq
9.7K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
9.7K
Ribosome Profiling
3.4K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.4K
Improving Translational Accuracy
8.5K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
8.5K
Nonsense-mediated mRNA Decay
10.3K
The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
Usually, Upf3 binds to an Exon Junction Complex (EJC) at mRNA splice sites. If a ribosome fully translates the mRNA,...
Usually, Upf3 binds to an Exon Junction Complex (EJC) at mRNA splice sites. If a ribosome fully translates the mRNA,...
10.3K


