Unlock the power of RNA ac4C modification analysis with acRIP-seq & ac4C-seq. RNA modifications, especially N4-acetylcytidine (ac4C), are crucial for regulating gene expression, impacting RNA stability, splicing, and translation. Understanding these modifications is essential for advancing research in cancer, immune response, viral infections, and other complex biological processes.
Our acRIP-seq and ac4C-seq technologies provide precise and comprehensive solutions to detect and map ac4C modifications across the transcriptome. Whether you're exploring ac4C's role in mRNA stability, translation efficiency, or disease mechanisms, we deliver high-resolution, reproducible results to fuel your research.
N4-acetylcytidine (ac4C) is an emerging RNA modification that regulates crucial cellular processes such as mRNA stability, translation, and splicing. It's involved in stem cell self-renewal, cancer progression, and drug resistance, making it a key player in disease research.
While m6A has dominated the spotlight in RNA epitranscriptomics, ac4C remains underexplored, offering new avenues to discover regulatory mechanisms that could shape future therapeutics. Now is the time to harness the power of ac4C analysis for your research.
Understanding the technology behind ac4C analysis is key to choosing the right method for your research. Below, we outline the core principles and workflows for both acRIP-seq and ac4C-seq, offering insight into how each technique operates.
Principle:
acRIP-seq utilizes an antibody-based approach to identify and profile RNA fragments that are modified by ac4C across the transcriptome. By enriching for these modified regions, acRIP-seq enables the discovery of new ac4C targets in mRNA, lncRNA, and other RNA species.
Workflow:
Principle:
ac4C-seq is based on a chemical reduction method that induces a C→T mutation at ac4C modification sites in RNA. This allows for highly accurate, single-base resolution mapping of ac4C sites.
Workflow:
Understanding which method suits your research needs is crucial. We offer flexible options to cater to both discovery and validation stages of your research. Here's how the two technologies compare:
Core Value: Discover novel ac4C targets across the entire transcriptome.
Technology: Antibody-based enrichment of ac4C-modified RNA fragments, followed by high-throughput sequencing.
What You Get:
Ideal For:
Data Output Example:
Core Value: Precisely map and quantify ac4C sites to validate candidates from acRIP-seq or literature.
Technology: Chemical reduction of ac4C to induce C→T mutations during reverse transcription, followed by sequencing.
What You Get:
Ideal For:
Data Output Example:
We streamline the workflow to minimize your time and effort. Our process is designed for reliability and efficiency, with results delivered directly to you for actionable insights.
| Step | What We Do | What You Get |
|---|---|---|
| 1. Sample Submission | Accept RNA, cells, or tissue as per the Sample Requirements . Perform QC (concentration, purity, integrity). | Sample QC report |
| 2. Library Preparation | acRIP-seq: Antibody enrichment + cDNA library construction. ac4C-seq: Chemical reduction + mutation mapping. |
Library QC report |
| 3. Sequencing | Illumina NovaSeq (150bp paired-end) for high coverage. | Raw sequencing data (FASTQ) |
| 4. Data Analysis | acRIP-seq: Peak calling, annotation, differential analysis, multi-omics integration. ac4C-seq: Mutation calling, quantitation, site validation. |
Customized analysis report |
Our bioinformatics analysis services help you unlock valuable insights from ac4C sequencing data, providing reliable, actionable results to support your research goals.
The following outlines the key stages of bioinformatics analysis for acRIP-seq data, offering detailed insights into ac4C modifications across RNA species:
Basic Analysis:
Advanced Analysis:
ac4C-seq provides single-base resolution mapping of ac4C modifications. The bioinformatics analysis includes:
acRIP-seq
| Sample Type | Requirements |
|---|---|
| RNA Samples | Concentration ≥200 ng/μL, Total ≥300 μg |
| Cell Samples | ≥8 × 10⁷ cells per sample |
| Tissue Samples | ≥150 mg |
| Species | Human and Mouse only, other species require evaluation |
ac4C-seq
| Sample Type | Requirements |
|---|---|
| Cell Samples | ≥2 × 10⁷ cells |
| Tissue Samples | 500 mg - 1 g |
| RNA Samples | 30 μg - 300 μg |
RNA modifications, such as ac4C, play a key role in regulating gene expression, translation, and mRNA stability. By applying ac4C-seq and acRIP-seq, researchers can explore how ac4C modifications influence:
In cancer, alterations in RNA modifications can drive tumorigenesis and metastasis. ac4C-seq and acRIP-seq provide valuable insights into how ac4C influences:
Ac4C modifications are critical for stem cell maintenance and differentiation. By profiling ac4C-modified genes in stem cells, researchers can:
In drug-resistant cancers, ac4C modifications may regulate the expression of genes involved in resistance pathways. ac4C-seq and acRIP-seq enable researchers to:
Non-coding RNAs (ncRNAs) such as lncRNAs, circRNAs, and miRNAs are involved in regulating gene expression. Ac4C modifications influence these ncRNAs, and by using ac4C-seq and acRIP-seq, researchers can:
Ac4C modifications play an important role in mRNA stability and translation efficiency. ac4C-seq and acRIP-seq allow researchers to:
Understanding the regulatory roles of ac4C modifications can reveal new insights into various disease mechanisms, from neurodegenerative diseases to metabolic disorders. By using ac4C-seq and acRIP-seq, researchers can:
Our team lives and breathes RNA modification research—especially ac4C. We've honed our skills in both acRIP-seq and ac4C-seq through countless projects, from basic mechanistic studies to disease-focused investigations. We know the nuances of this modification inside and out, so we can deliver the precise, actionable insights you need to move your research forward.
Ac4C sequencing is tricky—we get it. That's why our protocols are fine-tuned to handle its unique challenges, from antibody specificity in acRIP-seq to mutation mapping in ac4C-seq. Our meticulous approach ensures you get reliable, repeatable data every time—no surprises, no do-overs.
Bioinformatics isn't a box to check—it's a tool to unlock discoveries. We tailor our analyses to your goals: whether you're integrating ac4C data with RNA-seq to link modifications to expression, or using Ribo-seq to connect ac4C to translation, we'll build a pipeline that works for you. We don't just give you data—we help you make sense of it.
Our bioinformatics pipeline is designed to cut through noise. From peak calling to mutation validation, we prioritize quality at every step. You'll get organized, interpretable data sets—no messy files, no hidden artifacts—so you can jump straight into downstream analysis and writing.
Research moves fast, and so do we. We've streamlined our workflow—from sample check-in to final results—so you get your data when you need it. We never sacrifice quality for speed: our team works efficiently to keep your project on track without cutting corners.
Rigor isn't just a buzzword for us—it's how we work. We apply the same high standards that have made our work a staple in top journals. When you partner with us, you're getting results that stand up to scrutiny—because your research deserves nothing less.
We're not just a service provider—we're your research partner. We take the time to understand your goals, whether you're generating hypotheses or validating findings. From experimental design to data interpretation, we're here to answer questions, offer guidance, and help you turn ac4C data into meaningful discoveries.
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