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Related Experiment Video

Updated: Jan 9, 2026

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

Leveraging two novel droplet-based single-cell RNA Sequencing platforms: a comparative study with 10x genomics.

A V Maluchenko¹, E S Avsievich^1,2, Ia S Zvorygina^1,3

¹Moscow Center for Advanced Studies, Kulakova Str. 20, Moscow, 123592, Russia.

|December 1, 2025

Summary

This study compared droplet-based single-cell RNA sequencing platforms SeekOne and MobiDrop against 10× Genomics. While 10× Genomics performed superiorly, SeekOne and MobiDrop offer viable, cost-effective alternatives for single-cell transcriptome profiling.

Keywords:

Benchmark Droplet-based platforms Microfluidics Single-cell transcriptomics

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Last Updated: Jan 9, 2026

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Area of Science:

Single-cell genomics
Transcriptome profiling
Biotechnology

Background:

Single-cell transcriptome profiling technologies are rapidly evolving.
New platforms aim to enhance data quality, scale, cost, and labor efficiency.
Independent platform comparisons are vital for selecting optimal tools for specific research needs.

Purpose of the Study:

To compare the performance of two novel droplet-based single-cell platforms, SeekOne and MobiDrop.
To evaluate these platforms against a widely-used commercial platform (10× Genomics).
To assess platform suitability for diverse biological samples and experimental goals.

Main Methods:

Comparative analysis of SeekOne, MobiDrop, and 10× Genomics platforms.
Utilized cell suspensions of varying complexity and quality.
Evaluated gene yield, cell type identification, cost, and throughput.

Main Results:

10× Genomics demonstrated generally superior performance.
All platforms showed acceptable gene yield and identified expected cell types.
SeekOne and MobiDrop present cost-effective alternatives with flexibility in sample loading.

Conclusions:

This comparison aids researchers in selecting appropriate single-cell RNA sequencing platforms.
Key evaluation aspects include sample requirements, throughput, cell quality, gene capture efficiency, and cell type representativeness.
Findings support informed decisions for diverse single-cell transcriptome studies.