scRNA-seq characterizing the heterogeneity of fibroblasts in breast cancer reveals a novel subtype SFRP4 CAF that inhibits migration and predicts prognosisdoi:10.3389/fonc.2024.1348299BREAST cancerTRIPLE-negative breast cancerFIBROBLASTSCELL migration
Thus, scRNA-seq analysis confirms that quiescence/proliferation of both CD34+and CD133+human VSELs is regulated in a similar way, as previously reported for murine cells24by silencing of INS/IGFs signaling. In addition, in both datasets of VSELs we found high expression of RACK1, which is ...
Cancer cell malignancy recognition by InferCNV InferCNV refers to the inference of copy number alterations (CNAs) from tumor single-cell RNA sequencing data. InferCNV is used to explore tumor single-cell RNA-Seq data to identify evidence of large-scale chromosomal CNAs in somatic cells, such as ...
Increasingly, scRNA-Seq studies explore cell populations across different samples and the effect of sample heterogeneity on organism’s phenotype. However, relatively few bioinformatic methods have been developed which adequately address the variation be
Lung adenocarcinoma (LUAD) is one of the sole causes of death in lung cancer patients. This study combined with single-cell RNA-seq analysis to identify tumor stem-related prognostic models to predict the prognosis of lung adenocarcinoma, chemotherapy agents, and immunotherapy efficacy. mRNA express...
Under an adversarial learning framework, scGAL exploits complementary information from gene expression data to relieve the effects of noise in copy number data, and learns latent representations of scDNA-seq cells for accurate inference of the ITH. Evaluation results on three real cancer datasets ...
1、COVID-19相关肺曲霉病的下呼吸道scRNA-seq分析和中性粒细胞胞外诱捕网分析:单中心、回顾性、观察性研究 Lower respiratory tract single-cell RNA sequencing and neutrophil extracellular trap profiling of COVID-19-associated pulmonary aspergillosis: a single centre, retrospective, observational study The Lanc...
Single-cell RNA sequencing (scRNA-seq) has revolutionized the transcriptomics field by advancing analyses from tissue-level to cell-level resolution. Despite the great advances in the development of computational methods for various steps of scRNA-seq an
③ scRNA-seq分析结果表明,CAPA患者的中性粒细胞比例明显低于仅有COVID-19的患者。CAPA患者还表现出粘膜相关不变T细胞的耗竭、辅助性T细胞1和辅助性T细胞17分化的减少,以及巨噬细胞和单核细胞中抗真菌免疫的特定方面的转录缺陷。并表明了单核细胞、巨噬细胞、B细胞和T细胞群的定性和定量紊乱可能使严重COVID-19患者易...
1利用优化的转录组参考序列恢复缺失的scRNA-seq数据 Recovery of missing single-cell RNA-sequencing data with optimized transcriptomic references Nature Methods; IF:48.000; DOI: 10.1038/s41592-023-02003-w 内容概要:通过恢复错误的基因间reads,实施杂交的mRNA前体(pre-mRNA)图分析策略和解决基因重叠,表明可以通...