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Leveraging Two Novel Droplet-Based Single-Cell RNA Sequencing Platforms: a Comparative Study With 10x Genomics

ABSTRACT: Here we performed a comparison of two droplet-based high-throughput single-cell platforms, namely, SeekOne and MobiDrop with a widely-used commercial platform from 10x Genomics. The use of different types of samples allowed us to evaluate the performance of the platforms on cell suspensions of varying complexity and quality. 10x showed generally superior performance, although all platforms compared in this study showed acceptable gene yield and allowed identification of all expected cell types. Taking into account the cost and availability of devices and reagents required for each platform and the flexibility in the number of samples loaded onto the chip, SeekOne and MobiDrop might serve as a good alternative. The results of the current comparison will support the community's efforts to compare different aspects, including sample amount requirements, throughput, cell quality, gene capture efficiency and cell type representativeness.

ORGANISM(S): Mus musculus Homo sapiens

PROVIDER: GSE300217 | GEO | 2025/11/17

REPOSITORIES: GEO

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Project description:The goals of the study were to assess array platform performance and analysis algorithm performance. The most widely used method for detecting genome-wide protein-DNA interactions is chromatin immunoprecipitation on tiling microarrays, commonly known as ChIP-chip. Here, we conducted the first objective analysis of tiling array platforms, amplification procedures, and signal detection algorithms in a simulated ChIP-chip experiment. Mixtures of human genomic DNA and "spike-ins" comprised of nearly 100 human sequences at various concentrations were hybridized to four tiling array platforms by eight independent groups. Blind to the number of spike-ins, their locations, and the range of concentrations, each group made predictions of the spike-in locations. We found that microarray platform choice is not the primary determinant of overall performance. In fact, variation in performance between labs, protocols and algorithms within the same array platform was greater than the variation in performance between array platforms. However, each array platform had unique performance characteristics that varied with tiling resolution and the number of replicates, which have implications for cost versus detection power. Long oligonucleotide arrays were slightly more sensitive at detecting very low enrichment. On all platforms, simple sequence repeats and genome redundancy tended to result in false positives. LM-PCR and WGA, the most popular sample amplification techniques, reproduced relative enrichment levels with high fidelity. Performance among signal detection algorithms was heavily dependent on array platform. The spike-in DNA samples and the data presented here provide a stable benchmark against which future ChIP platforms, protocol improvements, and analysis methods can be evaluated. Keywords: ChIP-chip, competition For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf

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Leveraging Two Novel Droplet-Based Single-Cell RNA Sequencing Platforms: a Comparative Study With 10x Genomics

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