Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Cross-linking immunoprecipitation

Cross-linking and immunoprecipitation (CLIP, or CLIP-seq) is a method used in molecular biology that combines UV crosslinking with immunoprecipitation in order to identify RNA binding sites of proteins on a transcriptome-wide scale, thereby increasing our understanding of post-transcriptional regulatory networks. CLIP can be used either with antibodies…

History, Works & Applications

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Cross-linking immunoprecipitation. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Workflow

History and applications

Methods

Advantages and limitations

Similar methods

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Cross-linking immunoprecipitation

Nodes35
Edges34
Triples10
Avg. degree1.94
Density0.057143
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

rna clip sites binding iclip immunoprecipitation proteins cross-linking protein eclip using cells also used par-clip uv crosslinking sequencing interactions identify

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
iCLIP to increase the resolution of the method. cDNA is then synthesized via RT-PCR followed by high-throughput sequencing followed by mapping the reads back to the transcriptomeinstance ofwhich is exploited in variants0.80text
other computational analyses to study the interaction sitesinstance ofwhich is exploited in variants0.80text
eCLIPinstance ofThese innovations of iCLIP were adopted by later variants of CLIP0.80text
irCLIPinstance ofThese innovations of iCLIP were adopted by later variants of CLIP0.80text
m6A. eCLIP datasets have been produced for over 150 RBPs with validated commercially available antibodies.Other CLIP methodssCLIPinstance ofPCR amplification is then used to obtain sufficient material for high-throughput sequencing. eCLIP can also be used to identify miRNA targets and profile RNA modifications0.80text
m6A. eCLIP datasets have been produced for over 150 RBPs with validated commercially available antibodiesinstance ofPCR amplification is then used to obtain sufficient material for high-throughput sequencing. eCLIP can also be used to identify miRNA targets and profile RNA modifications0.80text
RIP have been demonstrated to be dependent on the reaction conditions of the experimentinstance ofThe data specificity obtained using early immunoprecipitation methods0.80text
such as protein concentrationsinstance ofThe data specificity obtained using early immunoprecipitation methods0.80text
ionic conditionsinstance ofThe data specificity obtained using early immunoprecipitation methods0.80text
and reassociation of RNA-binding proteins following cell lysis could lead to detection of artificial interactionsinstance ofThe data specificity obtained using early immunoprecipitation methods0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.