PC9 cell line scRNAseq datasets

In GEO NCBI repository are available single cell data on PC9 untreated lung cancer cell line done in two different labs, using both 10XGenomics and Drop-seq platforms and produced from in vitro culture or xenograph experiments.set1: GSM3972657 PC9 in vitro dropseq Chicago (2500 cells)set2: SM4494347 PC9 in vitro dropseq Chicago (12000 cells)set3: GSM3972651 PC9 in vitro 10XGenomics Chicago (12649 cells)set4: GSM6106787 PC9 in vitro 10XGenomics Berkeley (413 cells)set5: GSM4869650 PC9 xenograft dropseq Chicago (29983 cells)set6: GSM3972674 PC9 and U937 in vitro dropseq Chicago (2634 cells)set7 BE1 GSE243665 PC9 in vitro 10XGenomics Turin (4492 cells)These datasets, because of their differences, i.e. platforms, growth, labs, represent an ideal instrument to benchmark batch removal methods as well as integration methods. The seven sets are available as datasets with the same gene annotation (ensemblID:Symbol). Each set has the cellID with the extension _s(1:5) and set6 has two extensions _s6PC9 and _s6U937, set7 has extension _PC9.

在NCBI GEO数据库中，可获取PC9未处理肺癌细胞系的单细胞数据，这些数据由两个不同实验室利用10XGenomics和Drop-seq平台，通过体外培养或异种移植实验获得。具体数据集包括：set1: GSM3972657 PC9体外drop-seq芝加哥（2500细胞）；set2: SM4494347 PC9体外drop-seq芝加哥（12000细胞）；set3: GSM3972651 PC9体外10XGenomics芝加哥（12649细胞）；set4: GSM6106787 PC9体外10XGenomics伯克利（413细胞）；set5: GSM4869650 PC9异种移植drop-seq芝加哥（29983细胞）；set6: GSM3972674 PC9和U937体外drop-seq芝加哥（2634细胞）；set7: BE1 GSE243665 PC9体外10XGenomics都灵（4492细胞）。这些数据集由于平台、生长条件、实验室等方面的差异，构成了评估批次去除方法和整合方法的理想工具。七个数据集均采用相同的基因注释（ensemblID:Symbol）。每个数据集包含细胞ID，后缀为_s(1:5)，其中set6包含两个后缀_s6PC9和_s6U937，set7包含后缀_PC9。