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

PRJNA309972: Batch effects and the effective design of single-cell gene expression studies

来源: NCBI / GSE77288
提交时间: Jan 27 2016
释放时间: Jul 08 2016
最后更新时间: May 15 2019

概要: Single cell RNA sequencing (scRNA-seq) can be used to characterize variation in gene expression levels at high resolution. However; the sources of experimental noise in scRNA-seq are not yet well understood. We investigated the technical variation associated with sample processing using the single cell Fluidigm C1 platform. To do so; we processed three C1 replicates from three human induced pluripotent stem cell (iPSC) lines. We added unique molecular identifiers (UMIs) to all samples; to account for amplification bias. We found that the major source of variation in the gene expression data was driven by genotype; but we also observed substantial variation between the technical replicates. We observed that the conversion of reads to molecules using the UMIs was impacted by both biological and technical variation; indicating that UMI counts are not an unbiased estimator of gene expression levels. Based on our results; we suggest a framework for effective scRNA-seq studies.

项目整体设计: We combined the 96 single cell samples from each C1 chip into their own master mix and sequenced across three lanes of a HiSeq 2500 (3 individuals x 3 replicates x 96 wells x 3 lanes = 2592 files). We prepared two separate library preparations for each bulk sample; combined them all into one master mix; and sequenced across four lanes (3 individuals x 3 replicates x 2 library preparations x 4 lanes = 72 files).

GEN 数据集:
GEND000202 GEND000344
测序方法:
物种:
健康状况:
细胞类型:
方案
生长方案: Undifferentiated feeder-free iPSCs generated from Yoruba LCLs were grown in E8 medium (Life Tech) (G. Chen et al. 2011) on Matrigel-coated tissue culture plates with daily media feeding at 37 °C with 5% (vol/col) CO2. For standard maintenance, cells were split every 3-4 days using cell release solution (0.5 mM EDTA and NaCl in PBS) at the confluence of roughly 80%. For the single cell suspension, iPSCs were individualized by Accutase Cell Detachment Solution (BD) for 5-7 minutes at 37 °C and washed twice with E8 media immediately before each experiment. Cell viability and cell counts were then measured by the Automated Cell Counter (Bio-Rad) to generate resuspension densities of 2.5 X 105 cells/mL in E8 medium for C1 cell capture.; Undifferentiated feeder-free iPSCs generated from Yoruba LCLs were grown in E8 medium (Life Tech) (G. Chen et al. 2011) on Matrigel-coated tissue culture plates with daily media feeding at 37 °C with 5% (vol/col) CO2. For standard maintenance, cell were split every 3-4 days using cell release solution (0.5 mM EDTA and NaCl in PBS) at the confluence of roughly 80%. For the single cell suspension, iPSCs were individualized by Accutase Cell Detachment Solution (BD) for 5-7 minutes at 37 °C and washed twice with E8 media immediately before each experiment. Cell viability and cell counts were then measured by the Automated Cell Counter (Bio-Rad) to generate resuspension densities of 2.5 X 105 cell/mL in E8 medium for C1 cell capture.
处理方案: -
提取方案: Single cell loading and capture was performed following the Fluidigm manual; A bulk sample, a 40 ul aliquot of ~10,000 cell, was collected in parallel with each C1 chip using the same reaction mixes following the C1 protocol of ""Tube Controls with Purified RNA
建库方案: For sequencing library preparation, fragmentation and isolation of 5^ fragments were performed according to the UMI protocol (Islam et al. 2014). Instead of using commercial available Tn5 transposase, Tn5 protein stock was freshly purified in house using the IMPACT system (pTXB1, NEB) following the protocol previously described (Picelli et al. 2014). The activity of Tn5 was tested and shown to be comparable with the EZ-Tn5-Transposase (Epicentre). Importantly, all the libraries in this study were generated using the same batch of Tn5 protein purification. For each of the bulk samples, two libraries were generated using two different indices in order to get sufficient material.
测序信息
分子类型: poly(A)+ RNA
库的片段类型: SINGLE
库的链类型: Reverse
测序平台: ILLUMINA
测序仪型号: Illumina HiSeq 2500
链特异性: Specific
样本
基本信息:
样本描述:
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实验变量:
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质量评估:
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
Batch effects and the effective design of single-cell gene expression studies.
Scientific reports . 2017-01-03 [PMID: 28045081]