Single‐Cell Simultaneous Metabolome and Transcriptome Profiling Revealing Metabolite‐Gene Correlation Network by Xiying Mao, Dandan Xia, Miao Xu, Yan Gao, Le Tong, Chen Lu, Weiqi Li, Runmin Xie, Qinghuai Liu, Dechen Jiang, Songtao Yuan

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Elevated SAMD3 expression in T cells predicts improved survival in pancreatic ductal adenocarcinoma patients by Lingyi Fu, Enliang Zhou, Shuo Li, Ziteng Li, Liyan Wu, Xinxin Zhou, Lang Tian, Bokang Cui

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Identification of the Genomics and Transcriptomics Regulators of the DNA Damage Response in Breast Cancer by Mehdi Sadeghi, Mohammad Reza Karimi, Amir Hossein Karimi

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Dissecting macrophage heterogeneity and kaempferol in lung adenocarcinoma: a single-cell transcriptomic approach and network pharmacology by Laiyi Wan, Wentao Hao, Leilei Li, Lin Wang, Yanzheng Song

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Transcriptomic dynamics and cell-to-cell communication during the transition of prospermatogonia to spermatogonia revealed at single-cell resolution by Zhen He, Rong-Ge Yan, Qin-Bang Shang, Qi-En Yang

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Activated CD27+PD-1+ CD8 T Cells and CD4 T Regulatory Cells Dominate the Tumor Microenvironment in Refractory Celiac Disease Type II by Tessa Dieckman, Mette Schreurs, Ciska Lindelauf, Ahmed Mahfouz, Caroline R. Meijer, Louise Pigeaud, Vincent van Unen, Gerd Bouma, Frits Koning

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Revealing the role of natural killer cells in ankylosing spondylitis: identifying diagnostic biomarkers and therapeutic targets by Yuling Chen, Yan Li, Yuan Xu, Qing Lv, Yuanchun Ye, Jieruo Gu

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Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research by Getnet Molla Desta, Getnet Molla Desta, Alemayehu Godana Birhanu

Subjects: “…single-cell RNA-sequencing…”
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Monocytes serve as Shiga toxin carriers during the development of hemolytic uremic syndrome by Xinlei Sun, Shuang Qu, Fenglian Zhou, Fujie Shi, Yunfei Wu, Lin Gu, Minghui Liu, Zhen Bian, Lei Shi, Zhihong Liu, Yuan Liu, Ke Zen

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Cellular heterogeneity and communication networks in gastric cancer: Single-cell analysis reveals β-hydroxybutyrylation-associated genes and immune infiltration characteristics by You Hu, Jun Xu, Jian Lv, Yan Qin, Yongda Lu, Fan Cen, Hongbao Yang, Kai Chen, Suhua Xia

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Single-cell RNA sequencing revealed PPARG promoted osteosarcoma progression: based on osteoclast proliferation by Lei Sun, Jinhao Zhang, Zhikai Xiahou, Zhenzhen Zhao, Yanchen Liang

Subjects: “…single-cell sequencing…”
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Integrated Mendelian randomization and single-cell RNA-sequencing analyses identified OAS1 as a novel therapeutic target for erectile dysfunction via targeting fibroblasts by Yi Wang, Guihua Chen, Deng Li

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Enhancer regulatory networks globally connect non-coding breast cancer loci to cancer genes by Yihan Wang, Daniel A. Armendariz, Lei Wang, Huan Zhao, Shiqi Xie, Gary C. Hon

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Tumour heterogeneity and personalized treatment screening based on single-cell transcriptomics by Xinying Zhang, Jiajie Xie, Zixin Yang, Carisa Kwok Wai Yu, Yaohua Hu, Jing Qin

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Integrin α8 is a useful cell surface marker of alveolar lipofibroblasts by Atsuki Fukada, Yasunori Enomoto, Ryo Horiguchi, Yoichiro Aoshima, Shiori Meguro, Hideya Kawasaki, Isao Kosugi, Tomoyuki Fujisawa, Noriyuki Enomoto, Naoki Inui, Takafumi Suda, Toshihide Iwashita

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Single cell RNA sequencing improves the next generation of approaches to AML treatment: challenges and perspectives by Zahra Khosroabadi, Samaneh Azaryar, Hassan Dianat-Moghadam, Zohreh Amoozgar, Mohammadreza Sharifi

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Single-cell and spatial transcriptomics in endocrine research by Ryusaku Matsumoto, Takuya Yamamoto

Subjects: “…single-cell transcriptomics…”
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Mechanistic elucidation of human pancreatic acinar development using single-cell transcriptome analysis on a human iPSC differentiation model by Atsushi Mima, Azuma Kimura, Ryo Ito, Yu Hatano, Hiraku Tsujimoto, Shin-Ichi Mae, Junko Yamane, Wataru Fujibuchi, Norimitsu Uza, Taro Toyoda, Hiroshi Seno, Kenji Osafune

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Single-cell sequencing analysis reveals cancer-associated pericyte subgroup in esophageal squamous cell carcinoma to predict prognosis by Kai Xiong, Bing Pan, Hao Fang, Ziyou Tao

Subjects: “…single-cell sequencing…”
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Single-cell RNA-sequencing and genome-wide Mendelian randomisation along with abundant machine learning methods identify a novel B cells signature in gastric cancer by Qi Ma, Jie Gao, Yuan Hui, Zhi-Ming Zhang, Yu-Jie Qiao, Bin-Feng Yang, Ting Gong, Duo-Ming Zhao, Bang-Rong Huang

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