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    • Whole Genome Bisulfite Sequencing (WGBS)
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    • Reduced Representation Bisulfite Sequencing (RRBS)
    • Chromatin Immunoprecipitation Sequencing (ChIP-seq)
    • RNA Immunoprecipitation Sequencing (RIP-seq)
    • Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq)

    Premade Library

    • Sequencing Only on Illumina Sequencer
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Whole Genome SequencingDe novo SequencingAmplicon SequencingShotgun Metagenomic SequencingDirected DNA Methylation Sequencing (DM-Seq)mRNA SequencingSingle Cell Gene ExpressionVisium HD Spatial Gene ExpressionXenium In Situ Spatial TranscriptomeOlink ProteomicsUntargeted Metabolomics
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Copyright © 2026 Novogene Inc. All rights reserved.For Research Use Only. Not for Clinical Diagnostic Use.
Novogene AMEA
  • Novogene AMEA
  • Genomics
    • Human Whole Genome Sequencing
    • Plant and Animal Whole Genome Sequencing
    • Microbial Whole Genome Sequencing
    • Plant and Animal De novo Sequencing
    • Microbial De novo Sequencing
    • Shotgun Metagenomics Sequencing
    • Amplicon Sequencing
    • Whole Exome Sequencing
    Transcriptomics
    • mRNA Sequencing
    • Total RNA Sequencing
    • Full-Length Transcriptome Sequencing
    • Whole Transcriptome Sequencing
    • Small RNA Sequencing
    • Circular RNA Sequencing
    • Metatranscriptome Sequencing
    • Prokaryotic RNA Sequencing
    Single Cell & Spatial Omics
    • Single Cell Gene Expression
    • Single Cell Immune Profiling Sequencing
    • Single Cell Long Read Transcriptome
    • Visium HD Spatial Gene Expression
    • Stereo-Seq Spatial Gene Expression
    • Xenium In Situ Spatial Transcriptome
    Epigenomics
    • Whole Genome Bisulfite Sequencing (WGBS)
    • Directed DNA Methylation Sequencing (DM-Seq) NEW
    • Reduced Representation Bisulfite Sequencing (RRBS)
    • Chromatin Immunoprecipitation Sequencing (ChIP-seq)
    • RNA Immunoprecipitation Sequencing (RIP-seq)
    • Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq)

    Premade Library

    • Sequencing Only on Illumina Sequencer
    • Sequencing Only on PacBio Sequencer
    Proteomics and Metabolomics
    • Olink Proteomics
    • Quantitative Proteomics
    • Untargeted Metabolomics
  • PromotionsPromotions
    • Platforms
    • Automated Delivery Platform (Falcon)
    • Bioinformatics Analysis Tool (NovoMagic)
    • Customer Service System (CSS)
    • Brochures
    • Case Studies
    • Webinar
    • Blog
    • Sample Guidelines
    • Cancer Research
    • Immuno-oncology
    • Agrigenomics
    • Environment
    • Food Science
    • Human Microbiome
    • Plant and Animal Microbiome
    • Drug Discovery and Development
    • Rare and Complex Diseases
    • About Us
    • Our Locations
    • News
    • Careers
  • Contact UsContact Us

ServicesServices menu

SupportSupport menu

CompanyCompany menu

Services
Whole Genome SequencingDe novo SequencingAmplicon SequencingShotgun Metagenomic SequencingDirected DNA Methylation Sequencing (DM-Seq)mRNA SequencingSingle Cell Gene ExpressionVisium HD Spatial Gene ExpressionXenium In Situ Spatial TranscriptomeOlink ProteomicsUntargeted Metabolomics
Support
NovoMagic Bioinformatics Analysis ToolCustomer Service SystemFalcon Intelligent Delivery Platform
Company
About UsOur LocationsOur PlatformsNewsCareersContact Us
LinkedInLinkedIn hoverYouTubeYouTube hoverXX hover
Copyright © 2026 Novogene Inc. All rights reserved.For Research Use Only. Not for Clinical Diagnostic Use.
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RNA Immunoprecipitation Sequencing (RIP-seq)

Transcriptome-wide profiling of RNA-protein interactions to reveal post-transcriptional regulation and RNA regulatory mechanisms.
Request a Quote
(RNA Immunoprecipitation Sequencing (RIP-seq))
Request a Quote
(RNA Immunoprecipitation Sequencing (RIP-seq))
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
Resources Resources

RNA immunoprecipitation sequencing (RIP-seq or RIP sequencing) is a high-throughput RNA sequencing technology dedicated to the systematic analysis of protein-RNA interactions. It enables genome-wide characterization of the binding events between target proteins and RNA molecules, thereby elucidating the regulatory mechanisms of RNA-binding proteins (RBPs) in critical biological processes such as gene expression, RNA splicing, RNA stability, subcellular localization, and translational regulation.


Notably, this technique supports the simultaneous detection of diverse RNA species in a single experimental run, including mRNAs and non-coding RNAs (ncRNAs). When integrated with complementary technologies such as ChIP-seq and ATAC-seq, RIP-seq facilitates multi-omics analyses that yield comprehensive and in-depth insights into the molecular underpinnings of biological activities.

Why Choose Novogene for Your RIP-seq Project?

Rapid and High Capacity
Rapid and High Capacity

Industry-leading turnaround time.

Rapid and High Capacity
Rapid and High Capacity

Industry-leading turnaround time.

Low input
Low input

Ultra-low input of fragmented RNA – 20ng


Low input
Low input

Ultra-low input of fragmented RNA – 20ng


Comprehensive Analysis
Comprehensive Analysis

RIP-seq is multifaceted in interpreting the interaction network between RNA-RBP with respect to ncRNAs, such as lncRNA and miRNA.

Comprehensive Analysis
Comprehensive Analysis

RIP-seq is multifaceted in interpreting the interaction network between RNA-RBP with respect to ncRNAs, such as lncRNA and miRNA.

Why Choose Novogene for Your RIP-seq Project?

Rapid and High Capacity
Rapid and High Capacity

Industry-leading turnaround time.

Rapid and High Capacity
Rapid and High Capacity

Industry-leading turnaround time.

Low input
Low input

Ultra-low input of fragmented RNA – 20ng


Low input
Low input

Ultra-low input of fragmented RNA – 20ng


Comprehensive Analysis
Comprehensive Analysis

RIP-seq is multifaceted in interpreting the interaction network between RNA-RBP with respect to ncRNAs, such as lncRNA and miRNA.

Comprehensive Analysis
Comprehensive Analysis

RIP-seq is multifaceted in interpreting the interaction network between RNA-RBP with respect to ncRNAs, such as lncRNA and miRNA.

Applications of RNA Immunoprecipitation Sequencing (RIP-seq)

RIP-seq is widely used in the field of RNA biology and gene regulation. Its key applications include:

Identifying RNA Targets of RNA-Binding Proteins

RIP-seq allows researchers to map the RNAs bound by specific RBPs, enabling the identification of their regulatory targets. These targets may include mRNAs and/or non-coding RNAs (ncRNAs).

Identifying RNA Targets of RNA-Binding Proteins

RIP-seq allows researchers to map the RNAs bound by specific RBPs, enabling the identification of their regulatory targets. These targets may include mRNAs and/or non-coding RNAs (ncRNAs).

Understanding RNA-Protein Interactions in Development and Diseases

RIP-seq can be used to investigate how RBPs regulate RNA processing during embryonic development, cell differentiation and diseases such as cancers.

Understanding RNA-Protein Interactions in Development and Diseases

RIP-seq can be used to investigate how RBPs regulate RNA processing during embryonic development, cell differentiation and diseases such as cancers.

Characterizing functions of ncRNAs

RIP-seq can be used to study non-coding RNAs (ncRNAs) bound to specific RBPs, providing insights into their regulatory functions.

Characterizing functions of ncRNAs

RIP-seq can be used to study non-coding RNAs (ncRNAs) bound to specific RBPs, providing insights into their regulatory functions.

Applications of RNA Immunoprecipitation Sequencing (RIP-seq)

RIP-seq is widely used in the field of RNA biology and gene regulation. Its key applications include:

Identifying RNA Targets of RNA-Binding Proteins

RIP-seq allows researchers to map the RNAs bound by specific RBPs, enabling the identification of their regulatory targets. These targets may include mRNAs and/or non-coding RNAs (ncRNAs).

Identifying RNA Targets of RNA-Binding Proteins

RIP-seq allows researchers to map the RNAs bound by specific RBPs, enabling the identification of their regulatory targets. These targets may include mRNAs and/or non-coding RNAs (ncRNAs).

Understanding RNA-Protein Interactions in Development and Diseases

RIP-seq can be used to investigate how RBPs regulate RNA processing during embryonic development, cell differentiation and diseases such as cancers.

Understanding RNA-Protein Interactions in Development and Diseases

RIP-seq can be used to investigate how RBPs regulate RNA processing during embryonic development, cell differentiation and diseases such as cancers.

Characterizing functions of ncRNAs

RIP-seq can be used to study non-coding RNAs (ncRNAs) bound to specific RBPs, providing insights into their regulatory functions.

Characterizing functions of ncRNAs

RIP-seq can be used to study non-coding RNAs (ncRNAs) bound to specific RBPs, providing insights into their regulatory functions.

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Demo Results

Image
Image
1/1
Genome-Wide Distribution of Peaks

The summary of genome wide distribution of peaks is shown in the figure below. From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Horizontal axis is the coordinate of the peaks in the chromosome. Vertical is the chromosomes. Every blue bar represents a peak.

Image
Image
1/1
Motif Analysis

Motif represents the sequence conservation of the peak location, which may play a role in gene expression regulation. The following is a display of motifs on the mRNA regions associated with peak binding identified.

Identify the 25 most significant motifs with lengths of 6, 8, 10, and 12 for each experiment group. For detailed information about each motif, please refer to the result file and readme file.

Image
Image
1/1
Reads Density Distribution Among Comparable Groups for Annotated Peaks

RPM is the number of reads enriched in peak area per million reads. Boxplot is used to show reads enrichment in the annotated peak area in different samples.

Image
Image
1/1
KEGG Enrichment Analysis of Differential Peak-related Genes

KEGG enrichment analysis for the differential peak related genes is shown below:

Image
Image
1/1
Genome-Wide Distribution of Peaks

The summary of genome wide distribution of peaks is shown in the figure below. From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Horizontal axis is the coordinate of the peaks in the chromosome. Vertical is the chromosomes. Every blue bar represents a peak.

Image
Image
1/1
Motif Analysis

Motif represents the sequence conservation of the peak location, which may play a role in gene expression regulation. The following is a display of motifs on the mRNA regions associated with peak binding identified.

Identify the 25 most significant motifs with lengths of 6, 8, 10, and 12 for each experiment group. For detailed information about each motif, please refer to the result file and readme file.

Image
Image
1/1
Reads Density Distribution Among Comparable Groups for Annotated Peaks

RPM is the number of reads enriched in peak area per million reads. Boxplot is used to show reads enrichment in the annotated peak area in different samples.

Image
Image
1/1
KEGG Enrichment Analysis of Differential Peak-related Genes

KEGG enrichment analysis for the differential peak related genes is shown below:

Demo Results

Image
Image
1/1
Genome-Wide Distribution of Peaks

The summary of genome wide distribution of peaks is shown in the figure below. From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Horizontal axis is the coordinate of the peaks in the chromosome. Vertical is the chromosomes. Every blue bar represents a peak.

Image
Image
1/1
Motif Analysis

Motif represents the sequence conservation of the peak location, which may play a role in gene expression regulation. The following is a display of motifs on the mRNA regions associated with peak binding identified.

Identify the 25 most significant motifs with lengths of 6, 8, 10, and 12 for each experiment group. For detailed information about each motif, please refer to the result file and readme file.

Image
Image
1/1
Reads Density Distribution Among Comparable Groups for Annotated Peaks

RPM is the number of reads enriched in peak area per million reads. Boxplot is used to show reads enrichment in the annotated peak area in different samples.

Image
Image
1/1
KEGG Enrichment Analysis of Differential Peak-related Genes

KEGG enrichment analysis for the differential peak related genes is shown below:

Image
Image
1/1
Genome-Wide Distribution of Peaks

The summary of genome wide distribution of peaks is shown in the figure below. From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Horizontal axis is the coordinate of the peaks in the chromosome. Vertical is the chromosomes. Every blue bar represents a peak.

Image
Image
1/1
Motif Analysis

Motif represents the sequence conservation of the peak location, which may play a role in gene expression regulation. The following is a display of motifs on the mRNA regions associated with peak binding identified.

Identify the 25 most significant motifs with lengths of 6, 8, 10, and 12 for each experiment group. For detailed information about each motif, please refer to the result file and readme file.

Image
Image
1/1
Reads Density Distribution Among Comparable Groups for Annotated Peaks

RPM is the number of reads enriched in peak area per million reads. Boxplot is used to show reads enrichment in the annotated peak area in different samples.

Image
Image
1/1
KEGG Enrichment Analysis of Differential Peak-related Genes

KEGG enrichment analysis for the differential peak related genes is shown below:

More Services

Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
Total RNA Sequencing
(Total RNA Sequencing)
Total RNA Sequencing
(Total RNA Sequencing)
Sequencing Only on Illumina Sequencer
(Sequencing Only on Illumina Sequencer)
Sequencing Only on Illumina Sequencer
(Sequencing Only on Illumina Sequencer)

More Services

Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
Total RNA Sequencing
(Total RNA Sequencing)
Total RNA Sequencing
(Total RNA Sequencing)
Sequencing Only on Illumina Sequencer
(Sequencing Only on Illumina Sequencer)
Sequencing Only on Illumina Sequencer
(Sequencing Only on Illumina Sequencer)
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RNA Immunoprecipitation Sequencing (RIP-seq)

Transcriptome-wide profiling of RNA-protein interactions to reveal post-transcriptional regulation and RNA regulatory mechanisms.
Request a Quote
(RNA Immunoprecipitation Sequencing (RIP-seq))
Request a Quote
(RNA Immunoprecipitation Sequencing (RIP-seq))
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
Resources Resources

RNA immunoprecipitation sequencing (RIP-seq or RIP sequencing) is a high-throughput RNA sequencing technology dedicated to the systematic analysis of protein-RNA interactions. It enables genome-wide characterization of the binding events between target proteins and RNA molecules, thereby elucidating the regulatory mechanisms of RNA-binding proteins (RBPs) in critical biological processes such as gene expression, RNA splicing, RNA stability, subcellular localization, and translational regulation.


Notably, this technique supports the simultaneous detection of diverse RNA species in a single experimental run, including mRNAs and non-coding RNAs (ncRNAs). When integrated with complementary technologies such as ChIP-seq and ATAC-seq, RIP-seq facilitates multi-omics analyses that yield comprehensive and in-depth insights into the molecular underpinnings of biological activities.

Why Choose Novogene for Your RIP-seq Project?

Rapid and High Capacity
Rapid and High Capacity

Industry-leading turnaround time.

Rapid and High Capacity
Rapid and High Capacity

Industry-leading turnaround time.

Low input
Low input

Ultra-low input of fragmented RNA – 20ng


Low input
Low input

Ultra-low input of fragmented RNA – 20ng


Comprehensive Analysis
Comprehensive Analysis

RIP-seq is multifaceted in interpreting the interaction network between RNA-RBP with respect to ncRNAs, such as lncRNA and miRNA.

Comprehensive Analysis
Comprehensive Analysis

RIP-seq is multifaceted in interpreting the interaction network between RNA-RBP with respect to ncRNAs, such as lncRNA and miRNA.

Why Choose Novogene for Your RIP-seq Project?

Rapid and High Capacity
Rapid and High Capacity

Industry-leading turnaround time.

Rapid and High Capacity
Rapid and High Capacity

Industry-leading turnaround time.

Low input
Low input

Ultra-low input of fragmented RNA – 20ng


Low input
Low input

Ultra-low input of fragmented RNA – 20ng


Comprehensive Analysis
Comprehensive Analysis

RIP-seq is multifaceted in interpreting the interaction network between RNA-RBP with respect to ncRNAs, such as lncRNA and miRNA.

Comprehensive Analysis
Comprehensive Analysis

RIP-seq is multifaceted in interpreting the interaction network between RNA-RBP with respect to ncRNAs, such as lncRNA and miRNA.

Applications of RNA Immunoprecipitation Sequencing (RIP-seq)

RIP-seq is widely used in the field of RNA biology and gene regulation. Its key applications include:

Identifying RNA Targets of RNA-Binding Proteins

RIP-seq allows researchers to map the RNAs bound by specific RBPs, enabling the identification of their regulatory targets. These targets may include mRNAs and/or non-coding RNAs (ncRNAs).

Identifying RNA Targets of RNA-Binding Proteins

RIP-seq allows researchers to map the RNAs bound by specific RBPs, enabling the identification of their regulatory targets. These targets may include mRNAs and/or non-coding RNAs (ncRNAs).

Understanding RNA-Protein Interactions in Development and Diseases

RIP-seq can be used to investigate how RBPs regulate RNA processing during embryonic development, cell differentiation and diseases such as cancers.

Understanding RNA-Protein Interactions in Development and Diseases

RIP-seq can be used to investigate how RBPs regulate RNA processing during embryonic development, cell differentiation and diseases such as cancers.

Characterizing functions of ncRNAs

RIP-seq can be used to study non-coding RNAs (ncRNAs) bound to specific RBPs, providing insights into their regulatory functions.

Characterizing functions of ncRNAs

RIP-seq can be used to study non-coding RNAs (ncRNAs) bound to specific RBPs, providing insights into their regulatory functions.

Applications of RNA Immunoprecipitation Sequencing (RIP-seq)

RIP-seq is widely used in the field of RNA biology and gene regulation. Its key applications include:

Identifying RNA Targets of RNA-Binding Proteins

RIP-seq allows researchers to map the RNAs bound by specific RBPs, enabling the identification of their regulatory targets. These targets may include mRNAs and/or non-coding RNAs (ncRNAs).

Identifying RNA Targets of RNA-Binding Proteins

RIP-seq allows researchers to map the RNAs bound by specific RBPs, enabling the identification of their regulatory targets. These targets may include mRNAs and/or non-coding RNAs (ncRNAs).

Understanding RNA-Protein Interactions in Development and Diseases

RIP-seq can be used to investigate how RBPs regulate RNA processing during embryonic development, cell differentiation and diseases such as cancers.

Understanding RNA-Protein Interactions in Development and Diseases

RIP-seq can be used to investigate how RBPs regulate RNA processing during embryonic development, cell differentiation and diseases such as cancers.

Characterizing functions of ncRNAs

RIP-seq can be used to study non-coding RNAs (ncRNAs) bound to specific RBPs, providing insights into their regulatory functions.

Characterizing functions of ncRNAs

RIP-seq can be used to study non-coding RNAs (ncRNAs) bound to specific RBPs, providing insights into their regulatory functions.

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Requirements to learn more. For detailed information, please contact us with your customized requests.

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 100 ng
(Concentration ≥ 3 ng/μL)
For unfragmented sample,
fragment should be ≥ 1000 bp.
A260/280>2.0

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Sequencing and Analysis

Recommended data outputs and analysis contents displayed are for reference only. For detailed information, please contact us with your customized requests.

Sequencing PlatformIllumina NovaSeq System
Read LengthPaired-end 150bp
Recommended Data Amount≥ 20 million read pairs per sample for the species with a reference genome
Content of Data AnalysisData quality control
Alignment to the reference genome
Peak calling
Motif Analysis
Peak annotation
Functional analysis of peak-associated genes
Visualization of RIP-seq data

Project Workflow

Novogene's RIP-seq service comprises four steps, the first step being the sample preparation followed by RNA library preparation and Illumina PE150 sequencing, and finally, data analysis using bioinformatics pipelines. From RNA sampling to obtaining data reports, each step can influence the quality and quantity of data output, directly affecting the results of subsequent bioinformatics analysis. Novogene ensures stringent verification of each step, including sample quality control, library quality control, and sequencing data quality control, to ensure the high quality, accuracy, and reliability of sequencing data and provides comprehensive bioinformatics analysis.


Project Workflow

Demo Results

Image
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1/1
Genome-Wide Distribution of Peaks

The summary of genome wide distribution of peaks is shown in the figure below. From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Horizontal axis is the coordinate of the peaks in the chromosome. Vertical is the chromosomes. Every blue bar represents a peak.

Image
Image
1/1
Motif Analysis

Motif represents the sequence conservation of the peak location, which may play a role in gene expression regulation. The following is a display of motifs on the mRNA regions associated with peak binding identified.

Identify the 25 most significant motifs with lengths of 6, 8, 10, and 12 for each experiment group. For detailed information about each motif, please refer to the result file and readme file.

Image
Image
1/1
Reads Density Distribution Among Comparable Groups for Annotated Peaks

RPM is the number of reads enriched in peak area per million reads. Boxplot is used to show reads enrichment in the annotated peak area in different samples.

Image
Image
1/1
KEGG Enrichment Analysis of Differential Peak-related Genes

KEGG enrichment analysis for the differential peak related genes is shown below:

Image
Image
1/1
Genome-Wide Distribution of Peaks

The summary of genome wide distribution of peaks is shown in the figure below. From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Horizontal axis is the coordinate of the peaks in the chromosome. Vertical is the chromosomes. Every blue bar represents a peak.

Image
Image
1/1
Motif Analysis

Motif represents the sequence conservation of the peak location, which may play a role in gene expression regulation. The following is a display of motifs on the mRNA regions associated with peak binding identified.

Identify the 25 most significant motifs with lengths of 6, 8, 10, and 12 for each experiment group. For detailed information about each motif, please refer to the result file and readme file.

Image
Image
1/1
Reads Density Distribution Among Comparable Groups for Annotated Peaks

RPM is the number of reads enriched in peak area per million reads. Boxplot is used to show reads enrichment in the annotated peak area in different samples.

Image
Image
1/1
KEGG Enrichment Analysis of Differential Peak-related Genes

KEGG enrichment analysis for the differential peak related genes is shown below:

Demo Results

Image
Image
1/1
Genome-Wide Distribution of Peaks

The summary of genome wide distribution of peaks is shown in the figure below. From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Horizontal axis is the coordinate of the peaks in the chromosome. Vertical is the chromosomes. Every blue bar represents a peak.

Image
Image
1/1
Motif Analysis

Motif represents the sequence conservation of the peak location, which may play a role in gene expression regulation. The following is a display of motifs on the mRNA regions associated with peak binding identified.

Identify the 25 most significant motifs with lengths of 6, 8, 10, and 12 for each experiment group. For detailed information about each motif, please refer to the result file and readme file.

Image
Image
1/1
Reads Density Distribution Among Comparable Groups for Annotated Peaks

RPM is the number of reads enriched in peak area per million reads. Boxplot is used to show reads enrichment in the annotated peak area in different samples.

Image
Image
1/1
KEGG Enrichment Analysis of Differential Peak-related Genes

KEGG enrichment analysis for the differential peak related genes is shown below:

Image
Image
1/1
Genome-Wide Distribution of Peaks

The summary of genome wide distribution of peaks is shown in the figure below. From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Horizontal axis is the coordinate of the peaks in the chromosome. Vertical is the chromosomes. Every blue bar represents a peak.

Image
Image
1/1
Motif Analysis

Motif represents the sequence conservation of the peak location, which may play a role in gene expression regulation. The following is a display of motifs on the mRNA regions associated with peak binding identified.

Identify the 25 most significant motifs with lengths of 6, 8, 10, and 12 for each experiment group. For detailed information about each motif, please refer to the result file and readme file.

Image
Image
1/1
Reads Density Distribution Among Comparable Groups for Annotated Peaks

RPM is the number of reads enriched in peak area per million reads. Boxplot is used to show reads enrichment in the annotated peak area in different samples.

Image
Image
1/1
KEGG Enrichment Analysis of Differential Peak-related Genes

KEGG enrichment analysis for the differential peak related genes is shown below:

More Services

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(Total RNA Sequencing)
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More Services

Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
Chromatin Immunoprecipitation Sequencing (ChIP-seq)
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(Total RNA Sequencing)
Total RNA Sequencing
(Total RNA Sequencing)
Sequencing Only on Illumina Sequencer
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Sequencing Only on Illumina Sequencer
(Sequencing Only on Illumina Sequencer)
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