Transient Transcriptome Sequencing (TT-Seq) Service

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:

  • Measure absolute RNA synthesis & decay rates
  • Capture unstable eRNAs and non-coding transcripts
  • Includes spike-in normalization for kinetic accuracy
  • Full bioinformatics support for rate modeling
Request a Pilot Study Protocol
TT-Seq workflow diagram illustrating 4sU labeling and nascent RNA enrichment
Overview Why Choose Us Principles Applications Comparison Workflow Case Study FAQ Inquiry

Overview: Capture the Dynamics of Transcription Beyond Steady-State

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).

The Power of Kinetic Profiling

While standard RNA-seq measures abundance (the result of production minus decay), TT-Seq measures the rates directly. This distinction provides three critical advantages:

Why Choose CD Genomics for TT-Seq?

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.

Proprietary Fragmentation Protocol

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.

Accurate Normalization with Spike-Ins

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.

Advanced Kinetic Bioinformatics

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.

Principles of Technology: How TT-Seq Works

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.

Step 1: Metabolic Labeling with 4sU

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.

Step 2: Stopping the Reaction

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.

Step 3: Fragmentation (The Key Difference)

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.

Step 4: Biotinylation and Enrichment

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.

Step 5: Sequencing and Analysis

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.

Applications: From Enhancer Landscapes to Drug Response

Identifying Active Enhancers (eRNAs)

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.

Deconvoluting Drug Mechanisms

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.

Profiling Rapid Immune Responses

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.

Cancer Kinetics & Super-Enhancers

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.

Developmental Biology & Cell Fate

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.

Comparison: TT-Seq vs. Other Methods

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.

The TT-Seq Workflow: Optimized for High Sensitivity

  • 1. Project Consultation: We define optimal labeling parameters (4sU concentration and pulse duration) for your cell model.
  • 2. Cell Culture & Labeling: Cells are labeled with 4sU (in your lab or ours) and lysed in Trizol to freeze kinetics.
  • 3. RNA Extraction & QC: Total RNA is extracted (RIN > 7.0 required) and spike-ins are added for normalization.
  • 4. Controlled Fragmentation: RNA is fragmented to ~150-300 nt to ensure unbiased capture of the entire transcript.
  • 5. Labeled RNA Enrichment: 4sU residues are biotinylated and captured on streptavidin beads; unlabeled RNA is washed away.
  • 6. Sequencing: Stranded RNA-seq libraries are sequenced on Illumina NovaSeq (PE150) for high depth.
  • 7. Bioinformatics Analysis: Data is normalized to spike-ins and modeled to generate kinetic rates (ksyn, kdeg).

IGV data track comparison showing TT-Seq detection of eRNAs and introns

Sample Requirements

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.

Case Study: Deciphering Rapid T-Cell Activation Dynamics

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:

  • Enhancer Flare-Up: TT-Seq detected thousands of upregulated Enhancer RNAs (eRNAs) at intergenic regions that were invisible to standard sequencing.
  • Immediate Gene Activation: Synthesis rates of key cytokines (e.g., TNF, IL2) increased over 50-fold, even while total RNA abundance remained unchanged.
  • Promoter-Proximal Pausing: The data revealed genes "primed" with Polymerase II at the promoter, ready for instant release.

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.

Graph showing rapid rise in eRNA synthesis rates detected by TT-Seq

Frequently Asked Questions (FAQ)

References:

  1. Schwalb, B. et al. TT-seq maps the human transient transcriptome. Science, 352(6290), 1225-1228 (2016).
  2. Michel, M. et al. TT-seq captures enhancer landscapes immediately after T-cell stimulation. Molecular Systems Biology, 13(3), 920 (2017).
  3. Riml, C. et al. Osmium-mediated transformation of 4-thiouridine to cytidine as key to study RNA dynamics by sequencing. Angewandte Chemie, 56(43), 13479-13483 (2017).


Inquiry
  • For research purposes only, not intended for clinical diagnosis, treatment, or individual health assessments.
RNA
Research Areas
Copyright © CD Genomics. All rights reserved.
Top