rG4-RIP mRNA Seq Service — Uncover RNA G-Quadruplex–Dependent Interaction Networks

RNA G-quadruplexes (G4s) are stable secondary structures that influence RNA stability, translation, and stress-response regulation. Traditional RNA-seq methods often overlook these structural effects. CD Genomics' rG4-RIP mRNA Seq Service combines RNA immunoprecipitation (RIP) with next-generation sequencing (NGS) to pinpoint mRNAs and RNA-binding proteins (RBPs) associated with rG4 structures across the transcriptome.

Designed for researchers and biotech teams investigating RNA regulation, this service delivers a complete workflow—from sample preparation and antibody-based enrichment to sequencing and advanced bioinformatics interpretation. Clients gain data-driven insight into rG4-dependent networks that control gene expression, protein translation, and cellular phase separation.

Key advantages

  • Comprehensive profiling of rG4-associated mRNAs using Illumina RIP sequencing
  • Optional K⁺/Li⁺ comparative design to confirm rG4 dependence
  • Expert bioinformatics and visual reports ready for publication
  • Tailored support for pharma, CRO, and academic research projects
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rG4-RIP mRNA sequencing workflow for RNA G-quadruplex (G4) profiling and RIP sequencing analysis
  • Transcriptome-wide RIP sequencing of rG4 mRNAs
  • High-specificity antibody enrichment workflow
  • K⁺/Li⁺ comparative analysis for rG4 confirmation
  • Full bioinformatics interpretation and data visualization
  • End-to-end CRO project management
Why rG4s Service Overview Bioinformatics Tech Comparison Why CD Genomics Applications Sample Case Study FAQ Inquiry

Why RNA G-Quadruplexes Matter

RNA G-quadruplexes (rG4s) are four-stranded RNA secondary structures formed in guanine-rich sequences. Recent reviews describe them as "emerging regulators of gene expression, including translation, alternative splicing, mRNA localization and stability."

These structures are not merely curiosities of molecular biology—they impact key cellular processes. For example:

Pain-point for researchers:

Standard RNA-seq workflows provide transcript-level abundance data but omit structural dimension—meaning many rG4-dependent regulatory events remain hidden. Investigators developing RNA-targeting therapies or studying RBP networks may miss vital rG4-mediated mechanisms.

Our solution:

With rG4-RIP mRNA Seq, you gain direct insight into which transcripts are associated with rG4 structures and which RNA-binding proteins (RBPs) they engage—closing the gap between abundance and structural regulation.

Service Overview – What Is rG4-RIP mRNA Seq?

The rG4-RIP mRNA Seq service combines RNA immunoprecipitation (RIP) with high-throughput sequencing to identify mRNAs associated with RNA G-quadruplexes (G4s) and their binding proteins (RBPs).

How it works

1. Immunoprecipitation of rG4-associated RNA complexes

1. Using a validated G4-structure antibody (such as BG4) or a specific RBP antibody, the protocol enriches for RNAs that either form G4 motifs or are bound by rG4-recognising proteins.

2. This enrichment step solves the limitation of regular RNA-seq, which provides transcript abundance but lacks structural or binding context.

2. Parallel input vs IP libraries

1. An input library (total RNA) is sequenced alongside the IP (enriched) library to enable differential enrichment analysis—identifying which transcripts show significant association with rG4/RBP complexes.

3. Sequencing and data generation

1. Libraries are prepared for Illumina paired-end sequencing (e.g., PE150, ~6 G reads per sample) to ensure sufficient depth for detecting both enriched transcripts and binding events.

4. Option: Ionic condition comparison (K⁺ vs Li⁺)

1. To confirm G4-dependence, the workflow can include parallel treatments under potassium (K⁺) and lithium (Li⁺) conditions—since K⁺ stabilises G4s whereas Li⁺ does not—allowing discrimination of structure-driven from non-structure-driven binding.

5. Bioinformatics and interpretation

1. Downstream analysis yields lists of rG4-associated transcripts, fold-enrichment (IP vs input), annotation of G4 motifs, interaction networks of RBPs and transcripts, and functional pathway enrichment.

2. This enables researchers to move from raw data to actionable insights: which RNA G4s matter, which proteins bind them, and what regulatory networks they form.

rG4-RIP mRNA Seq workflow illustrating RNA G-quadruplex immunoprecipitation, sequencing, and bioinformatics analysis.

Service offered by CD Genomics

Bioinformatics Analysis

Step Description
Raw Data QC Validate sequencing quality (base scores, adapter contamination, duplicate reads) to ensure data integrity.
Read Alignment & Quantification Map reads to the reference genome/transcriptome and compute transcript abundance (IP and input libraries).
Differential Enrichment (IP vs Input) Identify transcripts significantly enriched in the IP fraction compared to input, signalling rG4-/RBP-association.
rG4 Motif Annotation & Network Mapping Annotate transcripts for G-quadruplex (G4) motif status and construct RNA–protein interaction networks linking rG4s and RBPs.
Functional Enrichment & Pathway Analysis Perform GO/KEGG/GSEA to interpret biological context of enriched transcripts and identify regulatory pathways.
Optional Comparative Condition (K⁺ vs Li⁺) For mechanistic studies, compare enrichment under K⁺ (G4-stable) and Li⁺ (G4-unstable) conditions to validate rG4-dependence.
Visualisation & Reporting Generate figures such as volcano plots, heatmaps, network graphs, and provide executive summary of biological interpretations.

Related Technology Comparison

Technology Core Purpose Input Material Key Outputs Resolution / Focus Ideal Use Case
rG4-RIP mRNA Seq Identify mRNAs and RNA-binding proteins (RBPs) associated with RNA G-quadruplexes (G4s) via immunoprecipitation + sequencing Total RNA or RNP lysate Enriched transcripts, RBP-mRNA interaction networks Transcript-level binding/enrichment with structural context Studies of rG4-dependent RNA–protein networks, drug/biomarker research
DMS rG4-Seq Map in vivo folded rG4 structures using dimethyl sulfate (DMS) chemical probing + RT-stop or mutation profiling Live cells or extracted RNA treated with DMS rG4 folding sites, RT-stop signatures, K⁺/Li⁺ dependence Single-nucleotide structure resolution When you need to know where rG4s fold in transcripts and confirm structure in cell context
rG4-Seq Profile transcriptome-wide potential rG4-forming sequences (in vitro or ex vivo) using RT-stall or other read-through outcomes Purified poly(A) RNA, usually high input Global map of candidate rG4 sites, structure potential Single-nucleotide or motif resolution (in vitro) When you aim to catalogue possible rG4 motifs or generate structural hypotheses
Standard RIP-Seq Capture RNAs bound by a specific RBP without explicit structural focus RNA from RBP immunoprecipitate List of RBP-associated RNAs with fold-enrichment Transcript-level binding Broad RBP interaction profiling regardless of G-quadruplex involvement

rG4-RIP complements rG4-Seq and DMS rG4-Seq by capturing functional complexes rather than structure sites alone.

Why Choose CD Genomics

When selecting a partner for your rG4-RIP mRNA-Seq project, you need more than basic sequencing. You need a specialist who understands RNA structure, RIP sequencing, and bioinformatics, and can deliver actionable results. Here's why CD Genomics stands out:

1. Integrated Platform Expertise

2. Tailored CRO Workflow for RNA Structural Biology

3. Low-Input & High-Specificity Options

4. Conversion-Focused Insights, Not Just Data

5. Trusted by Global Research Partners

Applications

Many cellular RNAs that harbour rG4 motifs recruit specific RNA-binding proteins (RBPs). By immunoprecipitating rG4-containing RNAs (or RBP–rG4 complexes) and sequencing the enriched transcripts, clients can identify which RNAs and RBPs form regulatory networks under physiological or stress conditions. This insight is especially relevant for teams studying translational control, RNA localisation, or granule formation.

rG4s influence mRNA translation efficiency, alternative splicing, decay, and localisation. Using rG4-RIP mRNA Seq, researchers can determine which transcripts are selectively recruited by rG4-binding proteins and thus infer regulatory circuits. This is valuable for projects examining how structural elements shape gene expression.

Because rG4s are implicated in oncogene regulation, neurodegeneration, and viral replication, the rG4-RIP mRNA Seq workflow provides a route to uncover candidate transcripts or RBPs for therapeutic targeting. For example, small molecules that stabilise rG4s may modulate specific mRNA–RBP interactions. Pharmaceutical and biotech teams can use the dataset generated by this service to prioritise targets and validate mechanism-of-action hypotheses.

rG4s become particularly relevant under stress conditions (such as oxidative stress, heat shock), where RNA granules and liquid–liquid phase separation are involved. With rG4-RIP mRNA Seq, one can compare enriched transcripts between stressed vs unstressed cells, revealing how rG4-dependent networks shift in disease-relevant contexts.

Clients may design experiments comparing wild-type vs rG4-mutant transcripts, or K⁺ vs Li⁺ ionic conditions (to modulate rG4 stability) to determine rG4-dependence of binding events. This functional differentiation helps validate structural roles of rG4s rather than merely sequence-based associations.

Sample Requirements & Sequencing Specifications

Parameter Specification
Input RNA Quantity ≥ 1–2 µg total RNA or equivalent RNP complex
RNA Concentration ≥ 50 ng/µL, OD260/280 ratio ~1.8–2.0 for purity
Library Sequencing Illumina PE150 (paired-end 150 bp reads)
Sequencing Depth Standard: ~6 Gb per library
Controls Input (total RNA) required; IgG‐control optional
Recommended Replicates ≥2–3 biological replicates (IP + input per condition)
Optional Condition Parallel K⁺ vs Li⁺ treatment to assess rG4-dependence

Notes:

Case Study: Unlocking Neuronal Stress Response: RNA G-Quadruplex (rG4)-Mediated Stress Granule Assembly via DNAPTP6

This study focuses on RNA G-quadruplexes (rG4s) — guanine-rich RNA sequences that fold into four-stranded structures. Although rG4-forming sequences are abundant in transcriptomes, their physiological roles in the central nervous system were largely unknown. The researchers identified the RNA-binding protein DNAPTP6 in mouse forebrain as having a strong affinity for rG4s and hypothesized that DNAPTP6 might coordinate stress granule (SG) assembly via rG4-dependent mechanisms.

  • Proteomic screening of mouse forebrain lysates using an rG4-specific antibody (BG4) to pull down rG4-associated proteins, followed by LC-MS/MS to identify DNAPTP6.
  • Biochemical assays: Electrophoresis mobility shift assays (EMSA) and surface plasmon resonance (SPR) to measure the binding affinity of DNAPTP6 for rG4 versus non-rG4 RNA.
  • Phase separation assays in vitro: testing whether DNAPTP6 undergoes liquid-liquid phase separation (LLPS) and whether addition of rG4 RNA enhances droplet formation.
  • Cellular experiments in neurons (mouse cortical neurons & Neuro-2A cells): Knockdown of DNAPTP6, arsenite-induced oxidative stress to trigger SGs, immunostaining for SG markers (e.g., G3BP1), and functional readouts including spontaneous excitatory postsynaptic currents (sEPSCs) and cleaved caspase-3 immunoreactivity (a marker of neuronal cell death).
  • DNAPTP6 binds rG4s with high selectivity compared with non-rG4 sequences, via its CCD and IDR2 domains.
  • In vitro, DNAPTP6 forms spherical droplets (LLPS), and these droplets grow in size when rG4 oligomers or rG4-containing mRNAs (e.g., Mark2 3′UTR) are added, but not when non-rG4 mutants are used.
  • In neurons, DNAPTP6 colocalises with SG marker G3BP1 under stress. Knockdown of DNAPTP6 reduces SG formation under sodium arsenite stress, reduces sEPSC frequency (indicating synaptic dysfunction), and increases neuronal apoptosis (cleaved caspase-3) under stress conditions.
  • The mRNAs containing multiple rG4-forming sequences are significantly enriched in SGs; rG4 motifs—particularly in CDS and 3′UTR—correlate with higher SG recruitment.

DNAPTP6 colocalises with stress granule marker G3BP1 and recruits rG4-containing mRNA into stress granules under oxidative stress.Confocal micrographs showing colocalisation of DNAPTP6 and G3BP1 in stress granules of Neuro-2A cells treated with sodium arsenite (NaAsO₂). Mark2 rG4-containing mRNA (fluorescent-labelled) is recruited into DNAPTP6-positive SGs, whereas 7-deazaG (G4-mutant) transcript shows no recruitment.

The study demonstrates that rG4s act not just as static motifs, but actively recruit mRNAs into stress granules through binding by DNAPTP6. The rG4-dependent phase separation of DNAPTP6 drives SG assembly, which in turn is crucial for neuronal resilience under oxidative stress. Disruption of this mechanism (via DNAPTP6 knockdown) impairs SG formation, leads to synaptic dysfunction, and neuronal cell death. Thus, rG4-mediated RNA–protein phase separation emerges as a key mechanism in neuronal homeostasis and stress-response biology.

FAQ – Frequently Asked Questions

References:

  1. Asamitsu S, Yabuki Y, Matsuo K, et al. RNA G-quadruplex organizes stress granule assembly through DNAPTP6 in neurons. Science Advances. 2023 Feb;9(8):eade2035. DOI: 10.1126/sciadv.ade2035. PMID: 36827365; PMCID: PMC9956113.
  2. Kwok, C., Marsico, G., Sahakyan, A. et al. rG4-seq reveals widespread formation of G-quadruplex structures in the human transcriptome. Nat Methods 13, 841–844 (2016).
  3. Lee YW, Levy V, Lee JT. Protocol for mapping RNA G-quadruplex for chromatin-bound RNA using d-rG4-seq. STAR Protoc. 2024 Dec 20;5(4):103471. doi: 10.1016/j.xpro.2024.103471. Epub 2024 Dec 5. PMID: 39643965; PMCID: PMC11656088.
  4. Song D, Luo J, Duan X, Jin F, Lu YJ. Identification of G-quadruplex nucleic acid structures by high-throughput sequencing: A review. Int J Biol Macromol. 2025 Mar;297:139896. doi: 10.1016/j.ijbiomac.2025.139896. Epub 2025 Jan 14. PMID: 39818384.
  5. Kharel P, Ivanov P. RNA G-quadruplexes and stress: emerging mechanisms and functions. Trends Cell Biol. 2024 Sep;34(9):771-784. doi: 10.1016/j.tcb.2024.01.005. Epub 2024 Feb 9. PMID: 38341346; PMCID: PMC12069074.
  6. Ruzi, Z., Zha, W., Yuan, H.Y. et al. RNA G-quadruplexes: emerging regulators of gene expression and therapeutic targets. Funct Integr Genomics 25, 143 (2025).


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