Unlock the "fourth dimension" of your transcriptome with our Transient Transcriptome Sequencing (TT-Seq) service.
By coupling 4sU metabolic labeling with fragmentation-based capture, we quantify RNA synthesis and degradation rates at single-nucleotide resolution. Ideal for detecting unstable enhancer RNAs (eRNAs) and immediate transcriptional responses.
Service Highlights:

Standard RNA sequencing (RNA-seq) is a powerful tool, but it has a fundamental blind spot. It only measures the "steady-state" level of RNA—the total accumulated inventory in the cell at a specific moment. It is analogous to taking a single snapshot of a busy highway: you can count the cars, but you cannot tell how fast they are moving, where traffic is jamming, or which cars just entered the road.
Transient Transcriptome Sequencing (TT-Seq) transforms that snapshot into a movie. By metabolically labeling newly transcribed RNA for a very short duration (typically 5–10 minutes), TT-Seq allows researchers to measure the "fourth dimension" of the transcriptome: time. This method quantifies exactly how fast RNA is being produced (synthesis rate) and how fast it is being broken down (degradation rate) with single-nucleotide resolution.
CD Genomics offers a comprehensive, end-to-end TT-Seq service designed to decode these hidden kinetics. We enable you to move beyond simple differential expression to understand the precise regulatory mechanisms driving gene changes. This approach is essential for dissecting rapid biological responses, such as drug mechanism-of-action, acute immune activation, or immediate-early gene induction. Our service is "Research Use Only" (RUO) and is optimized for high sensitivity, ensuring the detection of unstable molecules that standard methods miss, such as enhancer RNAs (eRNAs) and upstream antisense RNAs (uaRNAs).
While standard RNA-seq measures abundance (the result of production minus decay), TT-Seq measures the rates directly. This distinction provides three critical advantages:
Measuring RNA kinetics is technically demanding. It requires precise chemical labeling to avoid cellular stress, rigorous enrichment protocols to minimize background, and sophisticated mathematics to derive rates. CD Genomics solves these challenges with a validated, optimized workflow.
A major limitation of many "nascent RNA" methods is the bias toward 3' ends. Our workflow incorporates a controlled fragmentation step prior to enrichment. By shearing the RNA into uniform sizes before biotinylation, we ensure unbiased coverage of long genes and higher sensitivity for short, non-polyadenylated enhancer transcripts.
Relative quantification is insufficient for kinetic experiments. We utilize cross-species spike-in controls (e.g., Drosophila S2 cells) added in a precise ratio. This enables the calculation of absolute synthesis rates, preventing computational artifacts when global transcription is perturbed.
Interpreting kinetics requires complex modeling. Our PhD-level bioinformatics team utilizes custom pipelines to provide synthesis rates (ksyn), degradation rates (kdeg), and half-life (t1/2) estimations for the entire transcriptome.
To appreciate the superiority of TT-Seq for kinetic studies, it is important to understand the underlying chemistry and how it differentiates nascent RNA from the stable pool.
The process begins with the addition of 4-thiouridine (4sU) to the cell culture medium. Living cells actively uptake 4sU and incorporate it into nascent RNA chains. By limiting this "pulse" to a short window (e.g., 5 minutes), we ensure that only the RNA synthesized during this specific timeframe carries the 4sU label.
Precision is key. We instantly halt the labeling process using Trizol or a similar lysis buffer to "freeze" the transcriptional state. The sample now contains pre-existing (unlabeled) RNA and nascent (thiol-labeled) RNA.
This is the critical differentiator between TT-Seq and other methods like standard 4sU-seq or SLAM-seq. Before separation, we fragment the total RNA. This reduces steric hindrance and ensures that a labeled nucleotide at the start of a 10kb transcript allows the entire transcript to be represented.
We treat the fragmented RNA with HPDP-biotin, which forms a disulfide bond with the 4sU thiol groups. Streptavidin-coated magnetic beads then capture the labeled RNA with high affinity (Kd ≈ 10-14). Stringent washing removes unlabeled background, and a reducing agent elutes the pure, nascent RNA.
The eluted nascent RNA allows us to construct a library representing the "active" transcriptome. By integrating this data with the labeling time and spike-in controls, we model the kinetics of every gene.
Enhancer RNAs are extremely unstable and often missed by standard RNA-seq. TT-Seq captures RNA immediately after synthesis, making it one of the most sensitive methods for mapping active enhancers and super-enhancers across the genome.
Determine whether a drug reduces gene expression by blocking synthesis (transcriptional inhibition) or by triggering RNA decay (destabilization). This distinction is crucial for screening compounds and avoiding off-target toxicity.
Standard RNA-seq often misses the initial burst of "Immediate Early Genes" (IEGs) because mRNA hasn't accumulated yet. TT-Seq detects the first wave of transcriptional activation within minutes of stimulation.
TT-Seq can quantify the "transcriptional addiction" of cancer cells, identifying which oncogenes are being synthesized at abnormal rates and how they respond to transcriptional therapies like BET inhibitors.
Capture the transient expression of developmental regulators that pulse on and off to direct cell fate during differentiation, providing insights for stem cell protocols and tissue engineering.
| Feature | TT-Seq (Transient Transcriptome) | PRO-seq / GRO-seq | SLAM-seq |
|---|---|---|---|
| What it measures | Nascent RNA Product (Elongated & Splicing) | Active Polymerase Position & Density | Accumulated RNA (with T>C conversion) |
| Labeling method | 4sU + Physical Enrichment (Beads) | Run-on in isolated nuclei with Biotin-NTPs | 4sU + Chemical Conversion (IAA/OsO4) |
| Enrichment Type | Physical (Streptavidin Pulldown) | Physical (Streptavidin Pulldown) | Computational (Bioinformatic Filtering) |
| Resolution | High (Gene body, Introns, Enhancers) | Single-nucleotide (Pol II pausing sites) | Gene level (limited by read coverage) |
| Input Material | Live Cells | Permeabilized Nuclei | Live Cells |
| eRNA Detection | Excellent (Physical enrichment) | Excellent (Maps initiation sites) | Low (Hard to distinguish from noise) |
| Primary Use Case | RNA Dynamics (Synthesis + Decay) | Pol II Pausing & Promoter Architecture | Differential Expression w/o Pulldown |
Choose TT-Seq if: You need to measure both synthesis and degradation rates, or if you need robust detection of unstable ncRNAs/eRNAs in live cells.
| Sample Type | Amount Required | Concentration | Purity (OD260/280) |
|---|---|---|---|
| Total RNA (Labeled) | > 50 µg | > 200 ng/µL | 1.8 – 2.2 |
| Cell Lysate | > 1 × 107 cells | N/A | > 90% Viability |
Note: The requirement for total RNA (>50 µg) is higher than standard RNA-seq because the nascent RNA fraction typically constitutes only 2-5% of the total RNA.
Note: The following case study illustrates the power of TT-Seq technology based on peer-reviewed methodologies.
Background: T-cells must transition from resting to active states instantly upon pathogen detection. Standard RNA-seq at 15 minutes post-stimulation often fails to show changes because mRNA hasn't accumulated yet.
Methodology: Researchers used TT-Seq with a 5-minute 4sU pulse to capture only the RNA produced in the exact moments following stimulation.
Results:
Conclusion: TT-Seq mapped the rapid "switch on" of the genome, identifying therapeutic targets upstream of the cytokine release. These findings align with results published by Michel et al. (2017) in Molecular Systems Biology.
References: