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在单细胞分辨率下绘制细胞间融合图谱。

Mapping cell-cell fusion at single-cell resolution.

作者信息

Gardner Andrea L, Zheng Lan, Howland Kennedy, Saunders Andrew, Ramirez Andrea, Parker Patrik, Iloegbunam Chisom, Morgan Daylin, Jost Tyler A, Brock Amy

机构信息

Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.

出版信息

bioRxiv. 2025 Jan 24:2024.12.11.627873. doi: 10.1101/2024.12.11.627873.

Abstract

Cell-cell fusion is a tightly controlled process in the human body known to be involved in fertilization, placental development, muscle growth, bone remodeling, and viral response. Fusion between cancer cells results first in a whole-genome doubled state, which may be followed by the generation of aneuploidies; these genomic alterations are known drivers of tumor evolution. The role of cell-cell fusion in cancer progression and treatment response has been understudied due to limited experimental systems for tracking and analyzing individual fusion events. To meet this need, we developed a molecular toolkit to map the origins and outcomes of individual cell fusion events within a tumor cell population. This platform, ClonMapper Duo ('CMDuo'), identifies cells that have undergone cell-cell fusion through a combination of reporter expression and engineered fluorescence-associated index sequences paired to randomly generated nucleotide barcodes. scRNA-seq of the indexed barcodes enables the mapping of each set of parental cells and fusion progeny throughout the cell population. In triple-negative breast cancer cells CMDuo uncovered subclonal transcriptomic hybridization and unveiled distinct cell-states which arise in direct consequence of homotypic cell-cell fusion. CMDuo is a platform that enables mapping of cell-cell fusion events in high-throughput single cell data and enables the study of cell fusion in disease progression and therapeutic response.

摘要

细胞间融合是人体中一个受到严格调控的过程,已知其参与受精、胎盘发育、肌肉生长、骨骼重塑和病毒反应。癌细胞之间的融合首先导致全基因组加倍状态,随后可能会产生非整倍体;这些基因组改变是肿瘤进化的已知驱动因素。由于用于追踪和分析单个融合事件的实验系统有限,细胞间融合在癌症进展和治疗反应中的作用尚未得到充分研究。为满足这一需求,我们开发了一种分子工具包,用于绘制肿瘤细胞群体中单个细胞融合事件的起源和结果。这个平台,即克隆映射器二代(“CMDuo”),通过报告基因表达和与随机生成的核苷酸条形码配对的工程化荧光相关索引序列的组合,识别经历了细胞间融合的细胞。对索引条形码进行单细胞RNA测序能够在整个细胞群体中绘制每组亲代细胞和融合后代。在三阴性乳腺癌细胞中,CMDuo揭示了亚克隆转录组杂交,并揭示了同型细胞间融合直接导致的不同细胞状态。CMDuo是一个能够在高通量单细胞数据中绘制细胞间融合事件,并能够研究细胞融合在疾病进展和治疗反应中的作用的平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b34/11785005/f8d4d2dff4e1/nihpp-2024.12.11.627873v2-f0001.jpg

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