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):
- Sample loss during vesicle enrichment — The need to isolate extracellular vesicles (EVs) adds multiple handling steps, often reducing RNA yield and introducing variability.
- High input requirements — Traditional methods demand larger sample volumes, making it difficult to work with scarce or precious biofluids.
- Incomplete RNA coverage — Many workflows focus on small RNAs, leaving longer RNA species such as mRNA and lncRNA underrepresented.
- rRNA contamination — Ribosomal RNA can dominate sequencing reads, masking the signals of interest.
- Fragmented analysis pipelines — Researchers often face the burden of piecing together quality control, expression profiling, and functional analysis across multiple tools.
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 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:
- Low-input compatibility — Generate robust datasets even when working with limited or precious biofluid samples.
- No vesicle enrichment required — Reduce processing steps, eliminate sources of variability, and improve RNA yield.
- Comprehensive transcriptome coverage — Access long RNA species (mRNA and lncRNA) alongside small RNAs for a fuller view of extracellular biology.
- Improved reproducibility — Streamlined workflows and standardized preparation deliver consistent, comparable results.
- Research efficiency — By maximizing usable data from each sample, HEBER-seq shortens the path from sequencing to 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
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:
- Consultation & Design — Define project goals, sample types, and analysis needs.
- Sample QC — Verify RNA integrity and confirm suitability for sequencing.
- Library Prep & Sequencing — Barcode-based preparation, rRNA depletion, and high-throughput sequencing.
- Bioinformatics — QC, alignment, expression profiling, and functional annotation, with advanced options like WGCNA or GSEA.
- 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
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:
- Plasma
- Urine
- Cerebrospinal fluid (CSF)
- Other biofluids upon consultation
Input and quality guidelines:
- Minimal input volumes are sufficient, but samples must meet basic RNA integrity and purity standards.
- Avoid repeated freeze–thaw cycles that may compromise extracellular RNA stability.
- Samples should be free from RNase contamination and visible debris.
- Recommended starting design: For robust differential expression analysis, a study cohort of 30 vs 30 samples (case vs control) is suggested as a practical baseline.
Preservation and shipping recommendations:
- Collect samples using certified RNase-free consumables.
- Store and ship under low-temperature conditions to preserve RNA integrity.
- Provide detailed metadata (sample type, collection conditions, storage method) to support accurate interpretation.
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:
- Specialized expertise in extracellular RNA — Our team applies validated protocols and deep RNA-seq experience to every project.
- Dedicated project support — From initial consultation to final report, we offer tailored guidance at each stage.
- Scalable solutions — Whether a pilot study or a large cohort, we adapt workflows to meet diverse research needs without compromising data quality.
- Comprehensive bioinformatics — Integrated pipelines deliver publication-ready results, with optional advanced analyses based on project goals.
- Data security and confidentiality — All projects are handled under strict QC and data protection standards.
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:
- Biomarker discovery — Identify cfRNA signatures linked to early disease processes, therapeutic response, or environmental exposure.
- Disease mechanism studies — Explore how mRNA and lncRNA released into biofluids reflect underlying molecular pathways and regulatory networks.
- Viral RNA detection — Monitor circulating viral transcripts in host fluids without additional enrichment steps.
- Reproductive and developmental biology — Investigate exRNA biomarkers in pregnancy and developmental studies using non-invasive sampling.
- Comparative transcriptomics — Assess transcriptomic differences across biofluids, tissues, or experimental models to uncover system-level regulation.
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)
- Q1: What is the minimum sample input required for HEBER-seq?
- Q2: Can HEBER-seq detect both mRNA and lncRNA, or is it limited to small RNAs?
- Q3: Do I need to enrich for extracellular vesicles (EVs) before sending samples?
- Q4: What are the guidelines for collecting, preserving, and shipping samples to ensure high data quality?
- Q5: What file formats and data outputs will I receive?
- Q6: How long does it take from sample submission to receiving full data and analyses?
- Q7: What if my RNA is partially degraded, or sample quality is not ideal?
- Q8: Is there species limitation? Can I use samples from non-human organisms?
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:
- Request a Quote — Share your project details and receive a tailored plan with recommended sequencing depth and analysis options.
- Submit Your Samples — Follow our submission guidelines and let our team handle the library preparation, sequencing, and analysis.
- Talk to Our Specialists — Schedule a consultation to discuss your study design, sample requirements, or advanced bioinformatics needs.
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.
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References
- Ngo, Thuy TM, et al. "Noninvasive blood tests for fetal development predict gestational age and preterm delivery." Science 360.6393 (2018): 1133-1136.
- 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.
- Rasmussen, M., Reddy, M., Nolan, R. et al. RNA profiles reveal signatures of future health and disease in pregnancy. Nature 601, 422–427 (2022).
- 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).