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mRNA SequencingSwift & Express mRNA SequencingTotal RNA SequencingHuman Whole Genome SequencingWhole Exome Sequencing10x Single Cell Gene ExpressionIllumina PIP-seq Single Cell 3’ RNA SequencingSpatial Transcriptomics SequencingWhole Genome Bisulfite Sequencing (WGBS)Quantitative ProteomicsUntargeted MetabolomicsShotgun Metagenomics SequencingMetatranscriptome SequencingSequencing Only on Illumina SequencerSequencing Only on Ultima SequencerFull-Length Transcriptome SequencingChromatin Immunoprecipitation Sequencing (ChIP-seq)
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    • Cart
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Novogene
  • Novogene
  • Genomics
    • Human Whole Genome Sequencing
    • Whole Exome Sequencing
    • Plant and Animal Whole Genome Sequencing
    • Plant and Animal De Novo Sequencing
    • Microbial Whole Genome Sequencing
    • Microbial De Novo Sequencing

    Metagenomics

    • Shotgun Metagenomics Sequencing
    • Amplicon Sequencing

    Transcriptomics

    • mRNA Sequencing
    • Swift & Express mRNA Sequencing New!
    • Full-Length Transcriptome Sequencing
    • Prokaryotic RNA Sequencing
    • Metatranscriptome Sequencing
    • Total RNA Sequencing
    • Small RNA Sequencing (sRNA‑seq)
    • Whole Transcriptome Sequencing

    Single Cell & Spatial Omics

    • 10x Single Cell Gene Expression
    • Illumina PIP-seq Single Cell 3’ RNA Sequencing New!
    • Spatial Transcriptomics Sequencing New!

    Epigenomics

    • Whole Genome Bisulfite Sequencing (WGBS)
    • Enzymatic Methylation Sequencing
    • Directed Methylation Sequencing (DM-Seq) New!
    • RNA Immunoprecipitation Sequencing (RIP-seq)
    • Chromatin Immunoprecipitation Sequencing (ChIP-seq)
    • Cleavage Under Targets & Tagmentation (CUT&Tag) New!
    • Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq)
    • Reduced Representation Bisulfite Sequencing (RRBS)

    Proteomics

    • Quantitative Proteomics New!
    • PTM Proteomics New!
    • Olink Proteomics New!

    Metabolomics

    • Untargeted Metabolomics

    Premade Library

    • Sequencing Only on Illumina Sequencer
    • Sequencing Only on Ultima Sequencer
  • PromotionsPromotions
    • Platforms
    • Service & Support
    • Automated Delivery Platform (Falcon)
    • Bioinformatics Analysis Tool (NovoMagic)
    • Customer Service System (CSS)
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    • Immuno-oncology
    • Agrigenomics
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    • Plant and Animal Microbiome
    • Drug Discovery and Development
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    • News & Events
    • Careers
  • Contact UsContact Us
    • mRNA Sequencing
    • Illumina Lane Sequencing

ServicesServices menu

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Contact UsContact Us menu

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Services
mRNA SequencingSwift & Express mRNA SequencingTotal RNA SequencingHuman Whole Genome SequencingWhole Exome Sequencing10x Single Cell Gene ExpressionIllumina PIP-seq Single Cell 3’ RNA SequencingSpatial Transcriptomics SequencingWhole Genome Bisulfite Sequencing (WGBS)Quantitative ProteomicsUntargeted MetabolomicsShotgun Metagenomics SequencingMetatranscriptome SequencingSequencing Only on Illumina SequencerSequencing Only on Ultima SequencerFull-Length Transcriptome SequencingChromatin Immunoprecipitation Sequencing (ChIP-seq)
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About UsOur LocationsNews & EventsCareers
Contact Us
Contact Us
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Copyright © 2026 Novogene Corporation Inc. All rights reserved. For Research Use Only.
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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.
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

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.

Benefits

Rapid and High CapacityRapid and High Capacity
Rapid and High Capacity

Superior turnaround efficiency.

Rapid and High Capacity
Rapid and High Capacity

Superior turnaround efficiency.

Low inputLow input
Low input

Ultra-low input of fragmented RNA – 20ng


Low input
Low input

Ultra-low input of fragmented RNA – 20ng


Comprehensive AnalysisComprehensive 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.

Benefits

Rapid and High CapacityRapid and High Capacity
Rapid and High Capacity

Superior turnaround efficiency.

Rapid and High Capacity
Rapid and High Capacity

Superior turnaround efficiency.

Low inputLow input
Low input

Ultra-low input of fragmented RNA – 20ng


Low input
Low input

Ultra-low input of fragmented RNA – 20ng


Comprehensive AnalysisComprehensive 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 profiles RNAs bound to specific RBPs to pinpoint their regulatory targets, covering both mRNAs and non-coding RNAs (ncRNAs).

Identifying RNA Targets of RNA-Binding Proteins

RIP-seq profiles RNAs bound to specific RBPs to pinpoint their regulatory targets, covering both mRNAs and 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 profiles RNAs bound to specific RBPs to pinpoint their regulatory targets, covering both mRNAs and non-coding RNAs (ncRNAs).

Identifying RNA Targets of RNA-Binding Proteins

RIP-seq profiles RNAs bound to specific RBPs to pinpoint their regulatory targets, covering both mRNAs and 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 Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 bp.
A260/280>2.0

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 bp.
A260/280>2.0

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 bp.
A260/280>2.0

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 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.

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Sequencing and Analysis

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

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Sequencing and Analysis

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

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Sequencing and Analysis

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

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Specifications

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 bp.
A260/280>2.0

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 bp.
A260/280>2.0

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 bp.
A260/280>2.0

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 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.

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Sequencing and Analysis

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

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Sequencing and Analysis

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

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Sequencing and Analysis

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

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Resources

Image
Image
1/1
Genome wide distribution of peaks

From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Image
Image
1/1
Motif analysis

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 the 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

From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Image
Image
1/1
Motif analysis

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 the 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.

Resources

Image
Image
1/1
Genome wide distribution of peaks

From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Image
Image
1/1
Motif analysis

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 the 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

From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Image
Image
1/1
Motif analysis

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 the 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

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

More Services

Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq)
(Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq))
Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq)
(Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq))
Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Enzymatic Methylation Sequencing
(Enzymatic Methylation Sequencing)
Enzymatic Methylation Sequencing
(Enzymatic Methylation Sequencing)
Reduced Representation Bisulfite Sequencing (RRBS)
(Reduced Representation Bisulfite Sequencing (RRBS))
Reduced Representation Bisulfite Sequencing (RRBS)
(Reduced Representation Bisulfite Sequencing (RRBS))
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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.
OverviewOverview
BenefitsBenefits
ApplicationsApplications
SpecificationsSpecifications
ResourcesResources

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.

Benefits

Rapid and High CapacityRapid and High Capacity
Rapid and High Capacity

Superior turnaround efficiency.

Rapid and High Capacity
Rapid and High Capacity

Superior turnaround efficiency.

Low inputLow input
Low input

Ultra-low input of fragmented RNA – 20ng


Low input
Low input

Ultra-low input of fragmented RNA – 20ng


Comprehensive AnalysisComprehensive 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.

Benefits

Rapid and High CapacityRapid and High Capacity
Rapid and High Capacity

Superior turnaround efficiency.

Rapid and High Capacity
Rapid and High Capacity

Superior turnaround efficiency.

Low inputLow input
Low input

Ultra-low input of fragmented RNA – 20ng


Low input
Low input

Ultra-low input of fragmented RNA – 20ng


Comprehensive AnalysisComprehensive 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 profiles RNAs bound to specific RBPs to pinpoint their regulatory targets, covering both mRNAs and non-coding RNAs (ncRNAs).

Identifying RNA Targets of RNA-Binding Proteins

RIP-seq profiles RNAs bound to specific RBPs to pinpoint their regulatory targets, covering both mRNAs and 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 profiles RNAs bound to specific RBPs to pinpoint their regulatory targets, covering both mRNAs and non-coding RNAs (ncRNAs).

Identifying RNA Targets of RNA-Binding Proteins

RIP-seq profiles RNAs bound to specific RBPs to pinpoint their regulatory targets, covering both mRNAs and 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 Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 bp.
A260/280>2.0

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 bp.
A260/280>2.0

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 bp.
A260/280>2.0

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 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.

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Sequencing and Analysis

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

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Sequencing and Analysis

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

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Sequencing and Analysis

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

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Specifications

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 bp.
A260/280>2.0

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 bp.
A260/280>2.0

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 bp.
A260/280>2.0

Sample Guidelines

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

Sample TypeRequired AmountPeaks DistributionPurity
Enriched RNA Sample≥ 20ng
(≥ 100ng for rRNA depletion)
For unfragmented sample,
fragment should be ≥ 1000 bp.
For fragmented sample,
fragment should be ≥ 80 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.

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Sequencing and Analysis

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

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Sequencing and Analysis

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

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Sequencing and Analysis

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

PlatformIllumina Xplus
Read LengthPair-end 150 bp
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

Novogene Workflow of RIP-seq Service

Novogene 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.

Novogene Workflow of RIP-seq Service

Resources

Image
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1/1
Genome wide distribution of peaks

From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Image
Image
1/1
Motif analysis

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 the 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

From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Image
Image
1/1
Motif analysis

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 the 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.

Resources

Image
Image
1/1
Genome wide distribution of peaks

From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Image
Image
1/1
Motif analysis

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 the 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

From the number of the peaks mapping to the chromosome and its distribution can reflect the distribution of the protein binding sites.

Image
Image
1/1
Motif analysis

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 the 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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Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
Chromatin Immunoprecipitation Sequencing (ChIP-seq)
(Chromatin Immunoprecipitation Sequencing (ChIP-seq))
Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq)
(Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq))
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(Assay for Transposase-Accessible Chromatin with Sequencing (ATAC-seq))
Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Whole Genome Bisulfite Sequencing (WGBS)
(Whole Genome Bisulfite Sequencing (WGBS))
Enzymatic Methylation Sequencing
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Enzymatic Methylation Sequencing
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