RNA-Cell Binding Interaction Analysis Services
Understanding the intricate dynamics of how RNA molecules interact with cellular surfaces and intracellular environments is the cornerstone of modern precision medicine. CD BioGlyco offers a comprehensive RNA-Cell binding interaction analysis service, providing researchers with the tools to map, quantify, and characterize these vital molecular events. Whether you are investigating the receptor-mediated uptake of therapeutic oligonucleotides, the formation of endogenous ribonucleoprotein (RNP) complexes, or the emerging field of cell-surface glycoRNAs, our platform delivers high-resolution insights. By combining advanced biophysical assays with high-throughput sequencing and proximity labeling, we illuminate the path from RNA administration to biological effect, ensuring your therapeutic candidates achieve optimal targeting and minimal off-target engagement.
Our analytical suite integrates diverse, state-of-the-art methodologies to capture interactions across various biological scales:
We utilize HITS-CLIP, iCLIP, and PAR-CLIP to provide nucleotide-resolution maps of RNA-protein contact points. These "zero-length" UV-crosslinking techniques ensure that only direct physiological interactions are captured, eliminating the noise associated with post-lysis reassortment.
To capture transient or weak interactions in living cells, we employ enzyme-mediated proximity labeling. By fusing peroxidase (APEX2) or biotin ligase (TurboID) to target proteins, we biotinylate proximal RNA and protein partners within a 10–20 nm radius, enabling the mapping of the "neighborhood" around your RNA of interest.
For quantitative pharmacology, we offer surface plasmon resonance (SPR) and Bio-layer Interferometry (BLI). These label-free technologies allow for the real-time determination of association and dissociation rates, as well as equilibrium dissociation constants, providing a rigorous biophysical foundation for lead optimization.
Recognizing the challenge of working with rare cell populations, our LACE-seq (linear amplification of cDNA Ends and sequencing) platform allows for robust RNP profiling from as few as 10–100 cells, making it ideal for primary patient samples and early-stage embryonic research.
The RNA-cell binding interaction analysis is designed to be a "one-stop" solution for oligonucleotide characterization. Our scope extends from the cell surface to the deep nucleus. We specialize in mapping the interactions of therapeutic RNAs with membrane receptors (such as the ASGPR or scavenger receptors), quantifying the efficiency of endosomal escape, and identifying the final intracellular RNP partners that mediate the therapeutic effect.
We support a vast array of cell types, including immortalized lines, primary hepatocytes, neurons, and immune cells. Additionally, our service includes the analysis of extracellular RNAs (exRNAs) and their binding to cell-surface proteins or lipids. We also provide custom ligand-receptor competition assays, allowing you to determine if your therapeutic RNA competes with endogenous ligands for receptor binding. Every project is accompanied by a detailed technical report featuring raw data, processed motifs, and a comprehensive interpretation of the biological implications.
Our project begins with a collaborative consultation between our specialists and your research team to precisely define the biological question and experimental objectives. We work with you to select the optimal RNA modality (e.g., mRNA, ASO, siRNA) and the most relevant cell or tissue model system. Based on the goal, we jointly determine the necessity for specific chemical modifications (e.g., stabilized backbones) or the incorporation of tags such as fluorescent dyes or biotin labels to enable downstream detection, enrichment, or imaging.
The RNA molecule is introduced to the cellular system under carefully controlled, physiologically relevant conditions of temperature, time, and medium to allow for natural interactions. To capture a precise snapshot of these interactions, including both stable complexes and transient, dynamic associations, we apply rapid fixation techniques. This involves either UV-induced crosslinking or controlled formaldehyde fixation, which instantaneously and covalently "freezes" the RNA-protein and RNA-nucleic acid complexes in their native, in-situ state for subsequent analysis.
Following crosslinking, we perform targeted isolation of the RNA and its associated molecular complexes. Using high-affinity capture methods, such as antibody-based ribonucleoprotein immunoprecipitation (RIP) or streptavidin-bead pull-downs for tagged RNA, along with rigorously optimized buffer systems, we specifically enrich the complexes of interest. This critical step effectively separates the target complexes from the vast background of cellular components while meticulously preserving the integrity of the molecular interactions established during crosslinking.
The RNA recovered from the isolated complexes is processed into high-quality, sequencing-ready libraries. Our protocol employs specialized adapters designed for compatibility with low-input and potentially degraded RNA material. We allow for the computational correction of PCR amplification bias and duplicate reads, thereby ensuring accurate, quantitative assessment of RNA abundance and interaction sites.
Our dedicated bioinformatics pipeline processes the raw sequencing data to deliver biologically meaningful insights. The analysis includes precise mapping of RNA-binding sites, identification of significant sequence motifs, and statistical quantification of enrichment over matched control samples. We further perform functional and pathway enrichment analyses to place the interaction data in a biological context. To facilitate exploration, we provide researchers with access to interactive visualization tools, enabling intuitive navigation and interpretation of the comprehensive landscape of their RNA's cellular interaction partners and networks.
Journal: Bioinformatics Advances
DOI: 10.1093/bioadv/vbae127
IF: 2.8
Published: 2024
Results: This research article introduces RBPInper, a novel computational tool designed to perform a meta-analysis of RNA-binding protein (RBP) interaction profiles by integrating multiple heterogeneous datasets. The authors address the challenge of comprehensively mapping the global RBP interactome, the full set of transcripts bound by an RBP, which is difficult to achieve from individual experiments due to context-specificity and technical noise. The RBPInper framework employs a two-step statistical meta-analysis approach to combine P-values from various experimental strategies, such as RIP-Seq, eCLIP, and perturbation RNA-Seq, thereby generating a robust, consolidated list of high-confidence RBP-RNA interactions. The utility of the tool was demonstrated through a comprehensive case study on the splicing factor SFPQ, where it successfully integrated multiple datasets to reveal a global interactome enriched for both known and novel biological processes. Validation against independent PAR-CLIP data confirmed the method's high specificity and its ability to generate interactomes that are transferable to unseen cellular contexts. The tool is implemented as a user-friendly R package, emphasizing simplicity and minimal dependencies to make advanced meta-analysis accessible to biologists for gaining systems-level insights into RBP functions in health and disease.
Oligonucleotide Lead Optimization
Characterize the binding of ASOs and siRNAs to cell-surface receptors and intracellular proteins to select the candidates with the highest specificity and potency for clinical development.
mRNA Vaccine Development
Analyze how therapeutic mRNAs interact with initiation factors and ribosomes to optimize translation efficiency and maximize the production of target antigens in the desired cell types.
Exosome and EV Research
Study the loading of specific RNA cargoes into extracellular vesicles and their subsequent binding and uptake by recipient cells to understand the mechanisms of cell-to-cell communication.
Hepatocyte Targeting Analysis
Quantify the binding of GalNAc-conjugated RNAs to the ASGPR and track their subsequent intracellular trafficking to ensure efficient delivery to the liver.
Nucleotide-Level Resolution
Our iCLIP and LACE-seq platforms provide the highest possible resolution, pinpointing the exact nucleotide where an RNA molecule contacts its protein partner, which is essential for understanding mechanism-of-action.
Unrivaled Sensitivity for Rare Cells
With our optimized low-input protocols, researchers can now perform detailed RNA-binding analysis on primary cells and clinical biopsies that were previously inaccessible to standard CLIP-seq methods.
Physiologically Relevant Environment
We perform all cell-binding assays in specialized buffers that mimic the extracellular or intracellular ionic environment, ensuring that the binding affinities we measure are representative of actual biological conditions.
Comprehensive Bioinformatic Support
Our team doesn't just deliver raw reads; we provide a full suite of analysis, including motif discovery, secondary structure prediction, and integration with existing transcriptomic and proteomic datasets for a holistic view.
CD BioGlyco provided a level of detail in their CLIP-seq analysis that we couldn't find anywhere else. They helped us identify a critical off-target binding site that saved our project from a costly mistake.
— By Dr. R.T., Senior Scientist
Working with rare primary neurons was a challenge until we used CD BioGlyc's LACE-seq service. We were finally able to map the RNP landscape of our target gene with incredible precision.
— By Dr. E.M., Associate Professor
We've used CD BioGlyc for several aptamer validation projects. Their dual approach of combining BLI for kinetics and CLIP-seq for cellular binding is a powerful combination.
— By Dr. K.W., Director of Discovery
High-purity, custom-modified siRNAs designed for maximum knockdown and minimal off-target effects.
Comprehensive mimics and inhibitors for exploring the complex regulatory landscape of microRNAs.
Advanced ASO production featuring 2'-MOE, LNA, and Phosphorothioate chemistries.
Selection and high-scale production of high-affinity RNA aptamers for diagnostic and therapeutic applications.
CD BioGlyco is your dedicated partner in navigating the complex world of RNA-cell interactions. Our RNA-cell binding interaction analysis service provides the rigorous data and deep biological insights necessary to transform therapeutic concepts into clinical realities. From initial biophysical characterization to genome-wide interaction mapping, we provide the expertise and technology to ensure your RNA program succeeds. Contact us!
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