Supplementary Figure Legends from AZD6738, A Novel Oral Inhibitor of ATR, Induces Synthetic Lethality with ATM Deficiency in Gastric Cancer Cells

Ahrum Min, Seock-Ah Im,Hyemin Jang,Seongyeong Kim,Miso Lee,Debora Keunyoung Kim,Yaewon Yang,Hee-Jun Kim,Kyung-Hun Lee,Jin Won Kim,Tae-Yong Kim, Do-Youn Oh, Jeff Brown,Alan Lau,Mark J. O'Connor,Yung-Jue Bang

openalex（2023）

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Metabolic Regulation

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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【要点】：本文研究了新型口服ATR抑制剂AZD6738在胃癌细胞中的作用，发现其与ATM缺陷细胞存在合成致死性，为 gastric cancer 的治疗提供了新策略。

【方法】：通过分子生物学方法，包括细胞培养、药物处理、Western blotting等，研究了AZD6738对ATM缺陷胃癌细胞的影响。

【实验】：在实验中，作者使用了胃癌细胞系（具体细胞系未明确），并使用AZD6738处理细胞，通过观察细胞活力、凋亡等指标，发现AZD6738在ATM缺陷的胃癌细胞中具有显著抑制效果。数据集名称未明确提及。