NET-Seq Service: Native Elongating Transcript Sequencing
Unlock the dynamics of transcription with our NET-Seq service, offering single-nucleotide resolution of Native Elongating Transcripts without artificial run-on assays. We provide optimized library preparation for mammalian and yeast samples.
This specialized technique captures RNA exactly as it is being synthesized by RNA Polymerase II (Pol II), enabling researchers to pinpoint Pol II positions with single-nucleotide precision.
Key Highlights:
- Native Resolution: Map Pol II position exactly at the 3' end of nascent RNA.
- High Specificity: Proprietary immunoprecipitation minimizes rRNA contamination.
- Advanced Analysis: Pipelines for pausing index and splicing intermediate visualization.
- Flexible Input: Optimized protocols for limited cell numbers.

Overview: Capture Nascent RNA at Single-Nucleotide Resolution
Transcriptional regulation is a highly dynamic process, comparable to a high-speed factory assembly line. Standard RNA sequencing methods typically capture the "finished product"—mature, stable mRNA. While valuable, this approach misses the critical "production" details.
Native Elongating Transcript Sequencing (NET-Seq) is a specialized technique designed to capture RNA exactly as it is being synthesized by RNA Polymerase II (Pol II). Unlike other methods that require artificial "run-on" reactions in a test tube, NET-Seq analyzes the native complex directly from living cells.
Our NET-Seq service provides a high-resolution snapshot of the nascent transcriptome. By mapping the exact 3' end of the growing RNA chain, we enable researchers to pinpoint Pol II positions with single-nucleotide precision. This service is ideal for studying transcription elongation rates, Pol II pausing, and co-transcriptional RNA processing.
For researchers interested in alternative metabolic labeling methods for nascent RNA, please see our SLAM-seq service.
Technical Comparison: NET-Seq vs. PRO-Seq
| Feature | NET-Seq (Native) | PRO-Seq (Run-On) |
|---|---|---|
| Core Principle | Captures Native Pol II complex directly from cells | Uses a Run-On reaction in nuclei |
| Elongation State | Snapshots the exact position at the moment of lysis | Restarts transcription artificially with Biotin-NTPs |
| Resolution | Single-nucleotide (3' end mapping) | Single-nucleotide (3' end mapping) |
| Bias | Minimal (No enzymatic incorporation bias) | Potential bias from Biotin-NTP speed |
| Manipulation | Less manipulation (Physiological state) | More manipulation (Nuclei isolation) |
| Best For | Studying native pausing & splicing kinetics | Mapping active polymerase density with high signal |
Why Choose Our NET-Seq Service?
Native Resolution without Run-On Bias
We capture the true biological state of transcription. By avoiding in vitro run-on steps, we eliminate the potential for artificial elongation or "run-on" bias that can skew pausing indices.
Superior Library Purity & Specificity
A common failure mode in NET-Seq is "noise" from rRNA. Our proprietary immunoprecipitation (IP) wash buffers are optimized to stringently remove non-specific binding while preserving the fragile RNA-Pol II interaction.
Optimized for Difficult Samples
Standard protocols often require massive sample inputs. We have refined our library preparation chemistry to handle lower input amounts while maintaining high library complexity.
Workflow: From Cell Lysis to Bioinformatic Insights
Our end-to-end service is designed to be simple for the user but rigorous in the lab.
- Step 1: Cell Lysis – Cells are lysed under optimized conditions with inhibitors to isolate the chromatin-bound fraction.
- Step 2: Immunoprecipitation – We use specific antibodies (e.g., Ser5P, Ser2P) to pull down the Pol II complex without cross-linking.
- Step 3: Linker Ligation – A specialized DNA linker is ligated to the 3' end of the nascent RNA, marking the exact position.
- Step 4: Library Construction – RNA is eluted, reverse-transcribed, and circularized/ligated for sequencing with minimized PCR duplicates.
- Step 5: Sequencing – High-throughput sequencing (PE150) on Illumina NovaSeq to generate deep coverage (>50M reads).
- Step 6: Bioinformatics – Raw data processing, PCR duplicate removal, and precise mapping to the genome.
(Note: For researchers needing global run-on sequencing instead of native profiling, please compare this with our GRO-sequencing service.)

Sample Requirements & Submission Guidelines
| Parameter | Standard Requirement | Technical Notes |
|---|---|---|
| Sample Type | Cultured Cells (Human/Mouse/Yeast) | Suspension or Adherent cells. Tissues require optimization. |
| Input Amount | > 1 × 107 cells per sample | High input needed for IP of specific protein complexes. |
| Sample Condition | Fresh Cell Pellets or Flash-Frozen | Harvest quickly on ice to "freeze" transcriptional states. |
| Purity | Cell Viability > 90% | Dead cells contain degraded RNA which contributes to background noise. |
| Shipping | Dry Ice | Must remain deep-frozen (-80°C) at all times during transit. |
Important: Always label tubes clearly with sample ID, cell count, and date. Download our full Sample Submission Form after requesting a quote.
Case Study: Deciphering Co-transcriptional Splicing Kinetics
Background
Understanding how the spliceosome interacts with RNA Polymerase II is crucial for gene regulation studies. Traditional RNA-seq cannot distinguish whether splicing happens during or after transcription.
Methodology
Using mammalian NET-Seq (mNET-seq), researchers mapped the topology of the Pol II complex associated with phosphorylated C-terminal domains (CTD). As demonstrated in foundational research (Nojima et al., 2015), this method captures RNA intermediates tethered to the polymerase.
Results & Conclusion
The data revealed a distinct accumulation of Pol II reads at the 3' end of exons. This "pausing" behavior suggests that the polymerase waits for the splicing machinery to recognize the splice site before moving forward. NET-Seq successfully visualized the timing of splicing at single-nucleotide resolution.

Applications of NET-Seq Analysis
NET-Seq provides a "microscope" for the genome, allowing you to visualize regulatory mechanisms that standard Total RNA-seq cannot reveal.
Transcription Elongation & Pausing
Calculate the Pausing Index (PI) to reveal where the polymerase speeds up or slows down, identifying regions of stalled elongation.
Co-transcriptional Splicing Kinetics
Capture transient splicing intermediates and detect "lariat" structures to identify the exact order of intron removal.
Enhancer RNA (eRNA) Detection
Capture unstable RNAs like eRNAs while they are still attached to Pol II, revealing distinct bidirectional transcription signatures.
Transcription Termination
Precisely map the 3' ends of transcripts at termination zones to observe Pol II slowing down downstream of the polyadenylation signal.
Demo Results: High-Fidelity Data Visualization
We believe in data transparency. Below are examples of the high-fidelity visualizations included in our standard analysis package.
Figure 1. Metagene Plots
Visualizing the average Pol II distribution across thousands of genes. A sharp peak at the TSS indicates normal promoter-proximal pausing.
Figure 2. Single-Base Resolution Tracks
IGV-compatible files (.bw) allow you to zoom in to single-nucleotide resolution to verify specific pause sites or splice junctions.
Pausing Indices Calculation
A quantitative table listing the Pausing Index for every expressed gene, allowing you to filter for genes with "stalled" vs. "productive" elongation.
Splicing Efficiency Metrics
Analysis of reads spanning exon-intron junctions to estimate the efficiency of co-transcriptional splicing.
FAQs – Frequently Asked Questions
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- How much starting material is required for NET-Seq?
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- What is the difference between NET-Seq and PRO-Seq?
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- Can you handle immunoprecipitation of specific Pol II modifications?
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- Does the service include bioinformatics for pausing indices?
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- Is this service suitable for clinical diagnostics?
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- How do you ensure library purity from rRNA?
References:
- Nojima T, et al. Mammalian NET-seq reveals genome-wide nascent transcription coupled to RNA processing. Cell (2015).
- Churchman LS, Weissman JS. Nascent transcript sequencing visualizes transcription at nucleotide resolution. Nature (2011).
- Mayer A, et al. Native elongating transcript sequencing reveals human transcriptional activity at nucleotide resolution. Cell (2015).