RNA Sequencing

RNA sequencing

Unlock the full potential of transcriptomic analysis with OHMX.bio’s advanced RNA sequencing (RNA-seq) services. As experts in sequencing technologies, we provide tailored solutions to help you explore gene expression, transcript diversity, and regulatory mechanisms with high precision and depth.
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What is RNA sequencing?

RNA sequencing (RNA-seq) is a powerful next-generation sequencing (NGS) technology that enables comprehensive analysis of the transcriptome. By capturing and sequencing RNA molecules, researchers gain insights into gene expression profiles, alternative splicing events, and the presence of non-coding RNAs, driving discoveries in disease mechanisms, drug response, and biomarker development.
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Types of RNA sequencing

We offer a range of RNA-seq solutions to suit your specific research needs:

Bulk RNA Sequencing

Provides high-throughput gene expression profiling across entire cell populations, ideal for identifying differential gene expression in various conditions.

Single-Cell RNA Sequencing (scRNA-seq)

Enables transcriptome analysis at the single-cell level, revealing cellular heterogeneity and rare subpopulations within complex samples.

Total RNA Sequencing

Captures coding and non-coding RNAs, including lncRNAs and miRNAs, for a comprehensive transcriptomic overview.

mRNA Sequencing

Focuses on polyadenylated transcripts to assess gene expression dynamics and functional pathways.

Small RNA Sequencing

Specializes in analyzing microRNAs and other small regulatory RNAs, crucial for understanding post-transcriptional gene regulation.

Strand-Specific RNA Sequencing

Preserves strand information, enabling precise mapping of sense and antisense transcripts.

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Applications of RNA sequencing

RNA-seq plays a vital role in a wide range of research and clinical applications, including:

Biomarker Discovery

Identify novel RNA-based biomarkers for disease diagnostics and patient stratification.

Drug Development

Evaluate gene expression changes in response to drug candidates, aiding in mechanism-of-action studies and toxicity assessments.

Oncology Research

Uncover cancer-specific transcriptomic signatures and characterize tumor heterogeneity.

Neuroscience & Immunology

Gain insights into gene regulation in neurodegenerative diseases and immune responses.

Cell & Gene Therapy

Monitor therapeutic gene expression and assess cellular reprogramming outcomes.

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Our sequencing platforms

OHMX.bio utilizes a range of cutting-edge sequencing platforms, including Illumina platforms, the Element Biosciences AVITI sequencer for enhanced read accuracy, and the Oxford Nanopore long-read sequencing system for detecting RNA modifications and complex transcript structures.
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Sample types and custom solutions

Our RNA sequencing services accommodate a wide variety of sample types, including formalin-fixed paraffin-embedded (FFPE) tissues, liquid biopsies, and fresh or frozen samples. We offer multiple extraction and library preparation methods to ensure optimal data quality and yield. Additionally, we can design custom panels for in vitro or in silico target enrichment, allowing for highly specific and efficient transcriptomic analysis tailored to your research needs.
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Seamless bioinformatics integration

OHMX.bio offers seamless bioinformatics integration to support your research from raw data to meaningful insights. We provide custom data analysis pipelines tailored to your project’s unique requirements, ensuring precise and reproducible results. With years of experience handling diverse data types and visualizations, we help you extract the most value from your sequencing data, delivering high-quality interpretations for informed decision-making.

Let’s get in touch!

Are you curious about how we can work on your -omics challenges together? Fill out the form below!
Our experts will reply within 2 working days to freely discuss your omics project.

Featured studies using our RNA-seq technology

  1. Verbruggen, Steven, et al. “Spectral prediction features as a solution for the search space size problem in proteogenomics.” Molecular & Cellular Proteomics 20 (2021).
  2. Tytgat, Olivier, et al. “Nanopore sequencing of a forensic STR multiplex reveals loci suitable for single-contributor STR profiling.” Genes 11.4 (2020): 381.
  3. Clauwaert, Jim, Gerben Menschaert, and Willem Waegeman. “Explainability in transformer models for functional genomics.” Briefings in bioinformatics 22.5 (2021): bbab060.
  4. Clauwaert, Jim, et al. “Deep learning to decode sites of RNA translation in normal and cancerous tissues.” bioRxiv (2024).
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