Single-Cell Sequencing

Single-cell sequencing

OHMX.bio provides single-cell RNA sequencing (scRNA-seq) solutions to help researchers study cellular heterogeneity and gene expression at an individual cell level. By profiling thousands to millions of individual cells, scRNA-seq enables the identification of rare cell types, tracking of developmental processes, and detailed exploration of cellular responses. With extensive experience across diverse sample types, including tumor tissue and plant tissue, OHMX.bio ensures high-quality single-cell data for a wide range of applications.
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What is single-cell RNA sequencing?

Single-cell RNA sequencing allows for the analysis of gene expression at the level of individual cells, overcoming the limitations of bulk RNA sequencing, which averages signals across entire cell populations. By isolating and sequencing RNA from thousands to millions of individual cells, scRNA-seq provides a detailed map of cellular diversity, revealing the functional states of different cell populations.
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Applications of single-cell RNA sequencing

Tumor Microenvironment Analysis

Identifies distinct cell populations within tumors, such as immune infiltrates and malignant cells.

Stem Cell and Developmental Biology

Tracks cell differentiation and lineage commitment.

Immunology Research

Characterizes immune cell diversity and activation states.

Drug Discovery and Toxicology

Evaluates cellular responses to treatments at single-cell resolution.

Plant Biology

Resolves tissue-specific gene expression in plant cells, essential for developmental and stress response studies.

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PARSE technology – High-throughput and cost-effective

OHMX.bio offers PARSE technology, a state-of-the-art single-cell RNA sequencing platform that offers high sensitivity, scalability, and cost efficiency. Unlike traditional droplet-based approaches, PARSE employs combinatorial indexing to process a higher number of cells without requiring complex microfluidics. This makes it ideal for large-scale single-cell projects, ensuring deeper insights with reduced costs.

Advantages of PARSE scRNA-seq

Scalability

Allows profiling of millions of cells in a single experiment.

Cost-Effectiveness

Eliminates the need for microfluidics, significantly reducing per-cell costs.

High Sensitivity

Captures lowly expressed transcripts with greater efficiency.

Efficient Batch Processing

Due to fixation, samples can be stored for up to six months, enabling streamlined batch processing, reducing batch effects, and simplifying sample collection at clinical sites by eliminating the need for complex immediate processing setups.

Flexible Sample Input

Compatible with fresh, frozen, and fixed tissues, making it highly adaptable to different research needs.

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TCR and BCR sequencing

For immunology-focused projects, OHMX.bio offers T-cell receptor (TCR) and B-cell receptor (BCR) sequencing as an add-on to single-cell RNA sequencing. This allows researchers to analyze immune repertoire diversity and clonal expansions, essential for studying adaptive immune responses in cancer, infections, and autoimmune diseases.
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Expertise in Single-Cell Sequencing

OHMX.bio has extensive experience in single-cell RNA sequencing across a wide range of sample types, including:

Tumor tissue

Capturing the heterogeneity of cancer cells and the surrounding microenvironment

Plant tissue

Overcoming the challenges of plant cell wall digestion to achieve high-quality single-cell suspensions.

Complex biological systems

Adapting protocols to suit difficult sample types, ensuring reliable results.

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Let’s get in touch!

Interested in single-cell sequencing or just exploring your options? We’re happy to answer your questions, no strings attached.
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Our experts will reply within 2 working days to freely discuss your omics project.

Example publications using the PARSE technology

  1. Angelova, D.M., Tsolova, A., Prater, M. et al. Single-cell RNA sequencing identifies CXADR as a fate determinant of the placental exchange surface. Nat Commun 16, 142 (2025). https://doi.org/10.1038/s41467-024-55597-w

  2. Miyoshi, E., Morabito, S., Henningfield, C.M. et al. Spatial and single-nucleus transcriptomic analysis of genetic and sporadic forms of Alzheimer’s disease. Nat Genet 56, 2704–2717 (2024). https://doi.org/10.1038/s41588-024-01961-x

  3. Tegowski, M., Prater, A.K., Holley, C.L. et al. Single-cell m6A profiling in the mouse brain uncovers cell type-specific RNA methylomes and age-dependent differential methylation. Nat Neurosci 27, 2512–2520 (2024). https://doi.org/10.1038/s41593-024-01768-3
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