mSphere of Influence: How the single cell contributes to the collective by Gina R. Lewin

Subjects: “…single-cell RNA-seq…”
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Robust Single-Cell RNA-Seq Analysis Using Hyperdimensional Computing: Enhanced Clustering and Classification Methods by Hossein Mohammadi, Maziyar Baranpouyan, Krishnaprasad Thirunarayan, Lingwei Chen

Subjects: “…single-cell RNA-seq…”
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Hosts and Commensal Bacteria Synergistically Antagonize Opportunistic Pathogens at the Single‐Cell Resolution by Sheng Zhang, Ziguang Wang, Anqi Liu, Jinshu Li, Jingjing Zhuang, Xiaowen Ji, Paul I. Mulama, Maoye Li, Haiqun Cao, Eng‐King Tan, Wei Liu

Subjects: “…bacterial single‐cell RNA‐seq…”
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Integrative analysis of cell state changes in lung fibrosis with peripheral protein biomarkers by Christoph H Mayr, Lukas M Simon, Gabriela Leuschner, Meshal Ansari, Janine Schniering, Philipp E Geyer, Ilias Angelidis, Maximilian Strunz, Pawandeep Singh, Nikolaus Kneidinger, Frank Reichenberger, Edith Silbernagel, Stephan Böhm, Heiko Adler, Michael Lindner, Britta Maurer, Anne Hilgendorff, Antje Prasse, Jürgen Behr, Matthias Mann, Oliver Eickelberg, Fabian J Theis, Herbert B Schiller

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Using single‐cell genomics to understand developmental processes and cell fate decisions by Jonathan A Griffiths, Antonio Scialdone, John C Marioni

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The Transcriptomic Signature of Donkey Ovarian Tissue Revealed by Cross-Species Comparative Analysis at Single-Cell Resolution by Yu Tian, Yilin Niu, Xinhao Zhang, Tao Wang, Zhe Tian, Xiaoyuan Zhang, Jiachen Guo, Wei Ge, Shuqin Liu, Yujiang Sun, Jianjun Li, Wei Shen, Junjie Wang, Teng Zhang

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Synovial macrophage diversity and activation of M-CSF signaling in post-traumatic osteoarthritis by Alexander J Knights, Easton C Farrell, Olivia M Ellis, Michelle J Song, C Thomas Appleton, Tristan Maerz

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Bayesian-frequentist hybrid inference framework for single cell RNA-seq analyses by Gang Han, Dongyan Yan, Zhe Sun, Jiyuan Fang, Xinyue Chang, Lucas Wilson, Yushi Liu

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Integrating analysis of multi-omics summary data identifies novel plasma protein biomarkers and drug targets for bladder cancer by Jinlong Cao, Siyu Chen, Jirong Wang, Xinpeng Fan, Shanhui Liu, Jiaqi Shan, Xiaoran Li, Li Yang

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FlyPhoneDB2: A computational framework for analyzing cell-cell communication in Drosophila scRNA-seq data integrating AlphaFold-multimer predictions by Mujeeb Qadiri, Ying Liu, Ah-Ram Kim, Myeonghoon Han, Eric Zhou, Austin Veal, Tzu-Chiao Lu, Hongjie Li, Yanhui Hu, Norbert Perrimon

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Mucinous breast cancer organoids: an in vitro research model by Dongyi Zhao, Shida Zhu, Xue Bai, Xuelu Li, Zuowei Zhao

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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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SEE: A Method for Predicting the Dynamics of Chromatin Conformation Based on Single‐Cell Gene Expression by Minghong Li, Yurong Yang, Rucheng Wu, Haiyan Gong, Zan Yuan, Jixin Wang, Erping Long, Xiaotong Zhang, Yang Chen

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Rare Copy Number Variants Reveal Critical Cell Types and Periods of Brain Development in Neurodevelopmental Disorders by Susmita Malwade, Carl M. Sellgren, Navneet A. Vasistha, Konstantin Khodosevich

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Single-cell sequencing revealed the necessity of macrophages in brain microenvironment remodeling by breast cancer metastasis by Maotang Liu, CenZhu Wang, Qin Hu, XueChao Wu, Qing Wang, Jing Wang, Kun Xu, XiaoJie Lu, Wei Tian

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Prognostic Value of Ferroptosis-Immunity-Related Signature Genes in Cervical Cancer Radiotherapy Resistance and Risk Modeling by Zhang X, Li A, Zhu W, Guo Q, Wu Q, Zhao H, Yu Y, Xie P, Li X

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Integrated Analysis of Ferroptosis- and Cellular Senescence-Related Biomarkers in Atherosclerosis Based on Machine Learning and Single-Cell Sequencing Data by Qi X, Cao S, Chen J, Yin X

Subjects: “…Atherosclerosis，biomarker，Cell senescence， Ferroptosis， machine learning， Single-cell RNA-Seq…”
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Analysis of cell–cell interaction between mural granulosa cells and cumulus granulosa cells during ovulation using single‐cell RNA sequencing data of mouse ovary by Yuichiro Shirafuta, Isao Tamura, Amon Shiroshita, Taishi Fujimura, Ryo Maekawa, Toshiaki Taketani, Norihiro Sugino

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iVAE: an interpretable representation learning framework enhances clustering performance for single-cell data by Zeyu Fu, Chunlin Chen, Song Wang, Junping Wang, Shilei Chen

Subjects: “…Single-cell RNA-seq…”
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Single-cell RNA-seq analysis of mouse carotid artery under disturbed flow and human carotid plaques identifies key cell populations in atherosclerosis development by Xuyang Liu, Xu Li, Xin Wang, Jiawei Zhao, Chen Liu, Shaochi Wang, Zongping Xia, Yuming Xu

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