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Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
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CPRCSdb:一个全面的表型相关的单细胞转录基因数据库,用于人类癌症.

Yizhen Gong1,2, Yuxiang Yan1,3, Zhaomeng Liu1,2

  • 1The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.

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概括
此摘要是机器生成的。

一个新的数据库,CPRCSdb,将单细胞RNA测序数据与临床癌症表型联系起来. 本资源有助于理解瘤异质性及其对患者结果和治疗反应的影响.

关键词:
细胞异质性 细胞异质性疾病表型关联疾病表型关联一个单细胞数据库数据库.

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科学领域:

  • 在瘤学瘤学.
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 提供了对瘤微环境细胞异质性的高分辨率见解.
  • 细胞异质性显著影响临床结果,如生存,转移和治疗反应.
  • 在数据库中存在一个与临床表型相关联的scRNA-seq数据的空白.

研究的目的:

  • 开发CPRCSdb,一个全面的数据库,将临床表型与单细胞转录组数据集成在一起.
  • 提供一个资源,将细胞异质性与临床相关的癌症表型联系起来.
  • 促进对瘤发生和癌症进展机制的研究.

主要方法:

  • 整合了1053个手工精选的scRNA-seq样本 (超过405万个细胞) 和101个数据集.
  • 包括29种癌症类型的11,032个大量RNA-seq样本.
  • 分析了大量表型和单细胞异质性之间的6197个关联,涵盖了5种疾病和30种药物反应类别.

主要成果:

  • CPRCSdb包含了大量关于多种癌症类型和临床表型中的细胞异质性的数据.
  • 通过严格的质量控制确定了超过1130万个临床相关的细胞.
  • 该数据库支持下游分析,如差异表达和细胞间通信.

结论:

  • CPRCSdb是研究细胞异质性在癌症中的作用的宝贵资源.
  • 促进研究,将分子数据与临床结果和治疗反应联系起来.
  • 旨在推进对癌症生物学的理解,并为治疗策略提供信息.