Why Choose N2Jenomics Lab for Ribo-seq?

N2Jenomics Lab Pvt. Ltd. provides comprehensive Ribosome Profiling (Ribo-seq) services that combine optimized laboratory workflows with advanced bioinformatics to deliver reliable, reproducible, and publication-ready results. Our end-to-end solutions support studies of translational regulation, protein synthesis, and gene expression with codon-level resolution.

Our Advantages

• • End-to-end Ribo-seq service from sample preparation to bioinformatics analysis

• • Comprehensive quality control, including 3-nt periodicity, P-site assignment, metagene profiling, and replicate assessment
• • Advanced translation efficiency (TE) analysis with optional integration of matched RNA-seq data
• • Identification of uORFs, sORFs, ribosome stalling, and codon usage patterns
• • Flexible workflows for complete projects or bioinformatics analysis of existing sequencing data
• • Support for diverse sample types, including cultured cells, tissues, bacteria, and non-model organisms
• • Publication-ready reports, figures, and data files
• • Experienced scientific support for experimental design, quality assessment, and data interpretation

What Is Ribosome Profiling (Ribo-seq)?

Ribosome Profiling (Ribo-seq) is a next-generation sequencing technique that captures ribosome-protected mRNA fragments (RPFs) to provide a genome-wide snapshot of active protein translation. By sequencing these protected fragments, researchers can determine which transcripts are being translated and precisely locate ribosomes along coding regions.

Ribo-seq enables high-resolution analysis of translational regulation that cannot be obtained from RNA sequencing alone.

Why Use Ribo-seq?

Ribo-seq enables researchers to:

• • Measure translation efficiency (TE) across different biological conditions
• • Distinguish transcriptional changes from translational regulation
• • Identify translation initiation sites, upstream ORFs (uORFs), and small ORFs (sORFs)
• • Detect ribosome pausing, stalling, and translational frameshifts
• • Analyze codon occupancy and translation dynamics
• • Integrate results with GO, KEGG, and pathway enrichment analyses for biological interpretation

Ribo-seq Workflow

1. Sample Preparation

Translation is stabilized, followed by RNase digestion to isolate ribosome-protected RNA fragments.

2. Library Preparation

rRNA depletion, fragment size selection, adapter ligation, reverse transcription, PCR amplification, and library quality assessment.

3. High-Throughput Sequencing

Sequencing is performed on Illumina short-read platforms to generate high-quality ribosome footprint data.

4. Bioinformatics Analysis

Comprehensive downstream analysis includes translation efficiency, ribosome occupancy, differential translation, and functional interpretation.

Ribo-seq Bioinformatics Pipeline

Our standardized bioinformatics workflow includes:

• Raw Data Quality Control

• - Adapter trimming
• - Read quality assessment
• - Read length distribution analysis

• Read Alignment

• - Genome/transcriptome mapping
• - Removal of rRNA and tRNA reads
• - Mapping statistics

• Translation Quality Assessment

• - P-site assignment
• - Three-nucleotide periodicity analysis
• - Metagene profiling
• - Replicate consistency evaluation

• Quantification & Differential Analysis

• - Gene and ORF quantification
• - Translation efficiency (TE) calculation
• - Differential translation analysis
• - Integration with matched RNA-seq datasets

• Advanced Functional Analysis

• - uORF and sORF identification
• - Ribosome stalling and pausing analysis
• - Codon usage analysis
• - GO enrichment analysis
• - KEGG pathway analysis
• - Functional annotation and biological interpretation

Ribo-seq and Multi-omics Integration Analysis

Our comprehensive Ribo-seq bioinformatics pipeline transforms ribosome footprint sequencing data into biologically meaningful insights. By integrating Ribo-seq with RNA-seq, we enable researchers to distinguish transcriptional regulation from translational control and gain a deeper understanding of protein synthesis.

• Quantitative Translation Analysis

• - Gene and ORF expression quantification
• - Data normalization and differential translation analysis
• - Replicate correlation assessment and outlier detection

• Codon-Level Translation Analysis

• - P-site assignment and metagene profiling
• - Three-nucleotide periodicity evaluation
• - Identification of upstream ORFs (uORFs) and small ORFs (sORFs)

• Integrated Multi-omics Analysis

• - Translation efficiency (TE) calculation using matched RNA-seq data
• - Differential translation efficiency analysis
• - Identification of concordant and discordant transcriptional and translational changes

• Advanced Functional Interpretation

• - Ribosome stalling and pausing analysis
• - Codon usage profiling
• - GO enrichment analysis
• - KEGG pathway analysis
• - Functional annotation and biological interpretation
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Quality Assurance & Experimental Design

Our standardized workflows ensure high-quality, reproducible, and traceable Ribo-seq data.

• Experimental Design Support

• - Assistance with study design and experimental comparisons
• - Recommendation of at least three biological replicates per experimental group
• - Optional matched RNA-seq for robust translation efficiency analysis

• Quality Control Metrics

• - Three-nucleotide periodicity assessment
• - Accurate P-site offset determination
• - Ribosome footprint length distribution analysis
• - Mapping statistics and residual rRNA/tRNA evaluation
• - Replicate concordance and outlier identification

• Data Traceability

• - Complete sequencing and laboratory metadata
• - Version-controlled bioinformatics workflows
• - Comprehensive analysis records for reproducibility

Deliverables

Our Ribo-seq service includes a complete set of sequencing data, analytical results, and publication-ready reports.

• Raw Data

• - FASTQ files
• - BAM alignment files (optional)
• - Sample metadata and sequencing information

• Quality Control Reports

• - Read quality assessment
• - Mapping statistics
• - Residual rRNA/tRNA analysis
• - Ribosome footprint length distribution
• - P-site metagene profiles
• - Three-nucleotide periodicity plots
• - Replicate correlation analysis

• Bioinformatics Results

• - Gene and ORF count tables
• - Translation efficiency (TE) analysis
• vDifferential translation analysis
• - uORF and sORF identification
• - Ribosome stalling analysis
• - Codon usage analysis
• - GO and KEGG enrichment analysis

• Final Report

• - Comprehensive PDF report
• - Publication-quality figures (PNG/SVG)
• - Editable data tables (CSV/TSV)
• - Biological interpretation and analysis summary

Sample Requirements

Sample requirements may vary depending on project objectives and sample quality. Please contact us for customized recommendations.

Applications of Ribo-seq

Ribosome Profiling is widely applied in both basic and translational research to investigate protein synthesis and translational regulation.

• Drug Discovery & Mechanism of Action

Evaluate translation-level responses to drug treatment and identify affected biological pathways.

• Target Validation & Biomarker Discovery

Prioritize therapeutic targets by correlating translation efficiency with protein production and identifying translational biomarkers.

• Drug Resistance Research

Characterize translational reprogramming, ribosome pausing, and adaptive responses associated with therapeutic resistance.

• Immunology Research

Investigate translational regulation of immune-related genes and cellular responses under different physiological conditions.

• Virology

Analyze viral translation, frameshifting events, and host-virus interactions at codon-level resolution.

• Plant & Agricultural Research

Study stress-responsive translation, uORF-mediated regulation, and translational mechanisms influencing crop performance.

1. What is the difference between Ribo-seq and RNA-seq?

Ribo-seq measures actively translated RNA by sequencing ribosome-protected fragments (RPFs), providing insights into protein synthesis and translation efficiency (TE). In contrast, RNA-seq measures the abundance of RNA transcripts. Combining both techniques helps distinguish transcriptional regulation from translational control.

2. What is an ORF, and what can Ribo-seq detect?

An open reading frame (ORF) is a sequence of nucleotides that can be translated into a protein, beginning with a start codon and ending with a stop codon. Ribo-seq can identify translated ORFs, including upstream ORFs (uORFs), small ORFs (sORFs), and translation events within coding and non-coding RNAs.

3. How is a Ribo-seq experiment performed?

A typical Ribo-seq workflow includes:

• • Stabilization of ribosomes on mRNA

• • RNase digestion to isolate ribosome-protected fragments
• • rRNA depletion and fragment size selection
• • Library preparation and high-throughput sequencing
• • Bioinformatics analysis, including read alignment, P-site assignment, translation efficiency analysis, differential translation analysis, and functional annotation

4. What deliverables are included with the Ribo-seq service?

Our standard deliverables include:

• • Raw sequencing data (FASTQ; BAM files available upon request)
• • Quality control reports
• • Gene and ORF quantification tables
• • Translation efficiency and differential translation analyses
• • uORF/sORF identification
• • Ribosome stalling analysis
• • GO and KEGG pathway enrichment results
• • A comprehensive bioinformatics report with publication-ready figures and tables

5. Is matched RNA-seq required for translation efficiency analysis?

Matched RNA-seq data is highly recommended for accurate translation efficiency (TE) analysis. Integrating Ribo-seq with RNA-seq enables researchers to determine whether changes in gene expression occur at the transcriptional or translational level.

6. How is the quality of a Ribo-seq library evaluated?

High-quality Ribo-seq libraries typically exhibit:

• • Strong three-nucleotide (3-nt) periodicity
• • Accurate P-site assignment
• • Expected ribosome-protected fragment length distribution
• • High mapping rates
• • Good agreement between biological replicates

7. What are the limitations of Ribo-seq?

Although Ribo-seq provides detailed insights into protein translation, some limitations include:

• • Residual rRNA contamination may reduce sequencing efficiency.
• • Short ribosome footprints can complicate ORF identification.
• • Translation efficiency estimates do not directly measure protein abundance.
• • Standard protocols generally require relatively high-quality and sufficient input material.

8. What sample types are supported?

Our Ribo-seq workflow supports a variety of sample types, including:

• • Cultured cells
• • Animal and plant tissues
• • Bacterial samples
• • Purified ribosome-protected fragments (RPFs)

We support commonly studied model organisms and can evaluate non-model species for project feasibility.

9. Do you offer bioinformatics analysis for existing Ribo-seq data?

Yes. In addition to complete experimental services, we provide analysis-only solutions for existing Ribo-seq datasets. We can analyze purified RPF libraries or raw sequencing data using a customizable bioinformatics pipeline tailored to your research objectives.