Gene Expression Nebulas
基于标准化流程分析的转录图谱综合数据库

Gene Expression Nebulas

多物种转录图谱整合数据库

PRJNA348691: The Nature and Nurture of Cell Heterogeneity: Accounting for Macrophage Gene-environment Interactions with Single-cell RNA-Seq

来源: NCBI / GSE87849
提交时间: Oct 11 2016
释放时间: Jan 13 2017
最后更新时间: May 15 2019

概要: Background: Single-cell RNA-Seq can be a valuable and unbiased tool to dissect cellular heterogeneity, despite the transcriptome’s limitations in describing higher functional phenotypes and protein events. Perhaps the most important shortfall with transcriptomic ‘snapshots’ of cell populations is that they risk being descriptive, only cataloging heterogeneity at one point in time, and without microenvironmental context. Studying the genetic (‘nature’) and environmental (‘nurture’) modifiers of heterogeneity, and how cell population dynamics unfold over time in response to these modifiers is key when studying highly plastic cells such as macrophages. Results: We introduce the programmable PolarisTM microfluidic lab-on-chip for single-cell sequencing, which performs live-cell imaging while controlling for the culture microenvironment of each cell. Using gene-edited macrophages we demonstrate how previously unappreciated knockout effects of SAMHD1, such as an altered oxidative stress response, have a large paracrine signaling component. Furthermore, we demonstrate single-cell pathway enrichments for cell cycle arrest and APOBEC3G degradation, both associated with the oxidative stress response and altered proteostasis. Interestingly, SAMHD1 and APOBEC3 are both HIV-1 inhibitors (‘restriction factors’), with no previously known co-regulation. Conclusion: As single-cell methods continue to mature, so will the ability to move beyond simple ‘snapshots’ of cell populations towards studying the determinants of population dynamics. By combining single-cell culture, live-cell imaging, and single-cell sequencing, we have demonstrated the ability to study cell phenotypes and microenvironmental influences. It’s these microenvironmental components - ignored by standard single-cell workflows - that likely determine how macrophages, for example, react to inflammation and form treatment resistant HIV reservoirs.

项目整体设计: Stem cell derived macrophages (wildtype and SAMHD1 knockout) were single-cell cultured for 1h or 8h under for different media conditions (with/without lipopolysaccharide, with/without conditioned media to account for inter-macrophage signalling)

GEN 数据集:
GEND000055
测序方法:
物种:
健康状况:
细胞类型:
细胞系:
方案
生长方案: Macrophages grown on fibronectin coated polaris chip in XVIVO 15 + MCSF + FCS + PS
处理方案: LPS 100ng/ml in either XVIVO 15 + FCS + MCSF or from previously cultured Macrophages exposed to same batch of LPS
提取方案: FluidigmC1 RNAseq protocol: cDNA was generated using SMARTer Ultra Low RNA Kit (Clontech)
建库方案: Nextera XT DNA Library Preparation Kit (Illumina); Illumina RNAseq HiSeq4000 75bp PE
测序信息
分子类型: poly(A)+ RNA
库的片段类型: paired
库的链类型: -
测序平台: Illumina
测序仪型号: Illumina HiSeq 4000
链特异性: Unspecific
样本
基本信息:
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生物条件:
实验变量:
方案:
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数据来源 GEN样本编号 GEN数据集编号 系列编号 项目编号 样本编号 样本名称 生物样本编号 样本访问号 实验访问号 释放时间 提交时间 最后更新时间 物种 种族 族裔 年龄 年龄单位 性别 来源名称 组织 细胞类型 细胞亚型 细胞系 疾病 疾病状态 发育阶段 突变/变异 表型 Condition Detail 生长方案 处理方案 提取方案 建库方案 分子类型 库的片段类型 链特异性 库的链类型 加标(Spike-In) 测序方法 测序平台 测序仪型号 细胞数 测序片段数 碱基数 平均测序片段长度_1 平均测序片段长度_2 唯一比对率 多重比对率 覆盖度
文章
The nature and nurture of cell heterogeneity: accounting for macrophage gene-environment interactions with single-cell RNA-Seq.
BMC genomics . 2017-01-07 [PMID: 28061811]