c-MET Inhibition Reverses the Osimertinib Resistance in Lung Circulating Tumor Cell Clusters and Suppresses Metastasis by Zhipeng Zhang, Xinyi Lu, Jianhui Tian, Jiaxuan Li, Shihui Liu, Jiajun Liu, Bin Luo, Jialiang Yao, Yao Liu, Yanhong Wang, Wang Yao, Yun Yang, Wenji Shangguan, Zujun Que

“…Methods Using the human lung adenocarcinoma CTC line CTC-TJH-01, we performed transcriptome analysis to identify differentially expressed genes. …”
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Dissecting the genetic basis of response to salmonid alphavirus in Atlantic salmon by Domniki Manousi, Dorota Monika Jaskula, Fabian Grammes, Tim Martin Knutsen, Shahmir Naseer, Samuel AM Martin, Thomas Moen, Marie Saitou, Sigbjørn Lien

“…Additionally, genomic variations with potential functional impact on gig1-like expression were uncovered. These findings hold promise for application in developing effective disease management strategies in Atlantic salmon aquaculture.…”
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Integrated bioinformatic analysis identifies GADD45B as an immune-related prognostic biomarker in skin cutaneous melanoma by Qing Zhang, Song He, Zhonghao Ji, Xiwen Zhang, Bao Yuan, Ruirui Liu, Yimin Yang, Yu Ding

“…In conclusion, our findings highlight GADD45B as a key regulator in SKCM progression, capable of restraining tumor cell proliferation and enhancing apoptosis. GADD45B holds promise as a novel diagnostic and prognostic biomarker and a potential target for SKCM immunotherapy.…”
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Dynamic changes in DNA methylation play a regulatory role in gene expression during the formation of callus from immature barley embryos by Xinguo Huang, Jing Zhan, Haonan Wei, Siying Lou, Hongwu Bian, Junhui Wang, Ning Han

“…By integrating DNA methylation and transcriptome data, we identified differentially expressed genes (DEGs) associated with differentially methylated regions (DMRs) in the CG (879 DEGs), CHG (229 DEGs), and CHH (2020 DEGs) contexts. …”
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Faecalibacterium prausnitzii enhances intestinal IgA response by host-microbe derived inecalcitol in colitis by Wenfei Qin, Nuoming Yin, Binqiang Xu, Qixiang Mei, Yang Fu, Junjie Fan, Yingying Lu, Guangqiang Wang, Lianzhong Ai, Zhanjun Lu, Yue Zeng, Chunlan Huang

“…Conclusions F. prausnitzii effectively alleviated colonic inflammation and modulated dysbiosis via enhancing colonic IgA response, thus showing promise as a UC treatment. Graphical Abstract…”
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Conformation-sensitive targeting of CD18 depletes M2-like tumor-associated macrophages resulting in inhibition of solid tumor progression by Deok-Sang Hwang, Hyunsu Bae, Yingying Cao, Se Eun Lim, Ik-Hwan Han, Ilseob Choi, Hongseo Choi, Soyoung Kim, Chanmi Jeong, Juwon Yang, Jeongyoon Choi, Heekyung Lee, Jin Sun Shin, Hye Duck Yeom, Eun-Ji Lee, Nari Cha, Hyemin Go, Songah Chae, Won-Jun Lee, Minjin Kwon, Hongsung Kim, Hyojung Choi, Sehyun Pak, Namgyeong Park, Eunbin Ko, Junho H Lee, Hwan-Suck Chung, Seong Ho Kang

“…The immunotherapeutic effect of TB511 was investigated through spatial transcriptomics in human pancreatic ductal adenocarcinoma (PDAC) model.Results Activated CD18 was highly expressed in human tumor tissues and was significantly higher in M2 TAMs than in other immune cells. …”
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The functional and clinical significance of nucleoporin NUP153 across human cancers: a systematic study based on multi-omics analysis and bench work validation by Youfu He, Youfu He, Qing Wang, Zhaorui Wang, Menghui Duan, Yu Zhou, Jing Huang, Qiang Wu, Feichang Wu, Chen Li

“…Single-cell analysis and spatial transcriptomics further revealed that NUP153 expression drives proliferative states in mucus-producing cells in gastric cancer, and its expression was associated with immune cell infiltration patterns, particularly neutrophil and macrophage distribution in the tumour microenvironment.ConclusionOur findings indicate that NUP153 is a critical factor in multiple cancers, especially gastric cancer, where its elevated expression holds promise as a diagnostic and prognostic biomarker. …”
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Deep learning enabled integration of tumor microenvironment microbial profiles and host gene expressions for interpretable survival subtyping in diverse types of cancers by Haohong Zhang, Xinghao Xiong, Mingyue Cheng, Lei Ji, Kang Ning

“…In this study, we aimed to decode this complex relationship by developing ASD-cancer (autoencoder-based subtypes detector for cancer), a semi-supervised deep learning framework that could extract survival-related features from tumor microbiome and transcriptome data, and identify patients’ survival subtypes. …”
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