The Challenge in exRNA Research — Why Traditional Approaches Fall Short

Extracellular RNA (exRNA) has emerged as a valuable source of biological information, carrying molecular signals that reflect physiological and pathological states. Yet, researchers often encounter significant limitations when using conventional sequencing approaches to study cell-free RNA (cfRNA):

For scientists aiming to identify biomarkers, explore disease mechanisms, or monitor dynamic biological processes, these limitations create barriers to discovery. A more efficient and comprehensive solution is required—one that delivers sensitive detection, broad RNA coverage, and streamlined data analysis from minimal sample input.

Introduction

Introducing HEBER-seq: Our High-Efficiency Solution

HEBER-seq is designed to simplify and enhance extracellular RNA research. Instead of isolating extracellular vesicles, the workflow directly lyses vesicles present in biofluids and releases their RNA cargo for barcoded library preparation. This reduces handling steps, minimizes sample loss, and improves reproducibility across experiments.

The process integrates:

  • Barcode-based library preparation — Each sample is uniquely tagged, enabling multiplexed sequencing with minimal cross-contamination.
  • Automated library construction — High-throughput and standardized, reducing variability and manual workload.
  • rRNA depletion — Ensures sequencing reads focus on informative transcripts rather than ribosomal noise.
  • Broad RNA profiling — Captures long RNA species, including mRNA and lncRNA, from plasma, urine, cerebrospinal fluid, and other biofluids.

By unifying sample preparation and sequencing into a single optimized system, HEBER-seq delivers a workflow that is efficient, reliable, and tailored for extracellular transcriptomics.

Comparison flowchart of Traditional EVs longRNA Sequencing and HEBER-seq Library Construction workflows, showing steps from biofluid samples to sequencing, random forest analysis, and QIAGEN IPA analysis. Comparison of HEBER-seq and Traditional EVs longRNA-seq Workflows

Advantages

Key Advantages for Researchers — Why HEBER-seq Stands Out

For researchers, the true impact of HEBER-seq lies in how it overcomes the barriers of traditional cfRNA sequencing and unlocks new opportunities for discovery:

These advantages ensure that researchers can focus less on technical hurdles and more on generating meaningful insights from cfRNA biology.

Workflow

Project Workflow at CD Genomics — From Sample to Data Interpretation

HEBER-seq workflow from consultation to data delivery in five steps.

At CD Genomics, we keep the HEBER-seq process transparent and researcher-friendly. Each step is managed under strict quality control to ensure reliable results.

Our streamlined workflow:

  1. Consultation & Design — Define project goals, sample types, and analysis needs.
  2. Sample QC — Verify RNA integrity and confirm suitability for sequencing.
  3. Library Prep & Sequencing — Barcode-based preparation, rRNA depletion, and high-throughput sequencing.
  4. Bioinformatics — QC, alignment, expression profiling, and functional annotation, with advanced options like WGCNA or GSEA.
  5. Data Delivery — FASTQ files, processed results, and ready-to-use figures, plus consultation support.

With this end-to-end workflow, researchers can focus on their science while we manage the complexity of cfRNA sequencing and analysis.

Bioinformatics

Analytical Capabilities — From Raw Reads to Functional Insights

HEBER-seq is supported by a robust bioinformatics pipeline that transforms raw sequencing reads into meaningful biological insights. Each step is optimized for extracellular RNA, ensuring that researchers receive data that is both reliable and ready for interpretation.

Core analysis workflow includes:

  • Rigorous quality control — Removal of adapter sequences, low-quality reads, and potential contaminants.
  • Reference genome alignment — Accurate mapping of reads to the transcriptome for mRNA and lncRNA profiling.
  • Read distribution assessment — Genome-wide visualization of read coverage and transcript representation.
  • Differential expression analysis — Identification of significantly upregulated or downregulated transcripts between study groups.
  • Functional annotation — Integration of GO and KEGG pathway enrichment to uncover biological roles of differentially expressed genes.

Advanced analysis options:

  • Gene co-expression networks (WGCNA) — Reveal modules of correlated transcripts associated with phenotypes.
  • Gene set enrichment analysis (GSEA) — Identify biological pathways enriched in expression profiles.
  • Predictive model construction — Apply machine learning methods to develop diagnostic or prognostic classifiers.
  • Pathway exploration — Integrative pathway analysis to link transcriptomic signals with disease-relevant biology.
Deliverables

Data Output & Deliverables — What You Receive

With HEBER-seq, researchers receive more than just sequencing data—they gain a complete package of processed results and visual outputs that are ready for exploration, publication, or integration into downstream studies. Every dataset is delivered in standardized formats to ensure usability across diverse research workflows.

Typical deliverables include:

Raw sequencing data — FASTQ files with adapter- and quality-filtered reads.

Expression matrices — Normalized counts for mRNA and lncRNA across all samples.

Differential expression tables — Lists of significantly regulated transcripts with associated statistics.

Functional annotation reports — GO and KEGG pathway enrichment results, provided in both tabular and visual formats.

Visualization outputs — Ready-to-use figures such as: Heatmaps, Volcano plots, ROC curves, Pathway bubble charts or network diagrams.

By delivering both raw data and high-quality interpretations, HEBER-seq ensures that researchers can immediately transition from sequencing to discovery without the need for additional processing.

Demo

Demo

Number of genes detected across different sample types

Coefficients model analysis

ROC analysis of the training dataset

IPA analysis of disease target genes

Sample Requirements

Sample Submission Requirements — Ensuring Reliable Results

High-quality results begin with high-quality samples. To fully leverage the sensitivity of HEBER-seq, we recommend following the guidelines below for sample preparation, preservation, and shipping.

Accepted sample types:

Input and quality guidelines:

Preservation and shipping recommendations:

Why Choose CD Genomics for HEBER-seq

Choosing a sequencing partner goes beyond the technology—it's about the reliability, expertise, and support behind the service. At CD Genomics, we provide:

By partnering with CD Genomics, researchers gain more than a sequencing service—they gain a trusted collaborator committed to advancing extracellular RNA research with precision and care.

Applications

Research Applications & Use Cases

The strength of HEBER-seq lies not only in its technical design but also in its versatility across diverse research areas. By enabling sensitive and comprehensive profiling of extracellular RNA, this platform opens opportunities in multiple domains of molecular biology and translational research:

By bridging sample accessibility with transcriptome-wide resolution, HEBER-seq provides researchers with a powerful approach to address complex biological questions in a non-invasive yet highly informative manner.

FAQ

Frequently Asked Questions (FAQ)

Contact & Next Steps — Start Your HEBER-seq Project Today

Are you ready to unlock the full potential of extracellular RNA research with HEBER-seq? Whether your goal is biomarker discovery, disease mechanism exploration, or comparative biofluid transcriptomics, CD Genomics is here to provide expert guidance and reliable data.

We make it simple to begin:

Partner with CD Genomics to accelerate your cfRNA and exRNA discoveries. Our team is committed to delivering high-quality sequencing results, comprehensive data interpretation, and ongoing support throughout your project.

Start your HEBER-seq project today — [Request a Quote] or [Contact Our Specialists] to explore how we can support your research.

If you are interested in exploring more liquid biopsy solutions, [click here] to learn about our full range of services.

References

  1. Ngo, Thuy TM, et al. "Noninvasive blood tests for fetal development predict gestational age and preterm delivery." Science 360.6393 (2018): 1133-1136.
  2. Chalasani N, Vuppalanchi R, Lammert C, et al. Circulating cell-free messenger RNA secretome characterization of primary sclerosing cholangitis. Hepatology Communications 7.6 (2023): e0140.
  3. Rasmussen, M., Reddy, M., Nolan, R. et al. RNA profiles reveal signatures of future health and disease in pregnancy. Nature 601, 422–427 (2022).
  4. Vorperian, S.K., Moufarrej, M.N., Tabula Sapiens Consortium. et al. Cell types of origin of the cell-free transcriptome. Nat Biotechnol 40, 855–861 (2022).
For research purposes only, not intended for clinical diagnosis, treatment, or individual health assessments.
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For research purposes only, not intended for clinical diagnosis, treatment, or individual health assessments.

CD Genomics is transforming biomedical potential into precision insights through seamless sequencing and advanced bioinformatics.

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