Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Cas9 (CRISPR-associated protein 9) is a DNA cutting endonuclease that is part of the CRISPR immune system in bacteria and archaea. It has been adapted for use as a CRISPR genome editing tool. The CRISPR-Cas9 system is widely used in genetic engineering, medicine, agriculture, and biotechnology.
The analysis highlights History, Applications, Research and Technology as prominent areas in the source structure around Cas9.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Cas9 shows recurring relationship patterns in the source. For example, Cas9 → Alongside, Apart, Cas9n, Clustered Regularly Interspaced Short, CRISPR, CRISPR-Cas9, DNA, Examples, If, In, More, Other, Palindromic Repeats, PAM, Research, RNA, RNA-guided DNA, RNAi, SSBs, Streptococcus Another extracted example is Cas9 → Adjacent, CRISPR, CRISPR-associated, CRISPR-Cas9, CRISPR/Cas, CRISPRs, DNA, Hepatitis, HIV-1, II-specific, In, More, RNA, Since, The, These, These CRISPR, This, To, When. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
dna dcas9 crispr rna genome transcription gene pam system cleavage target editing sequence complex genes endonuclease guide spacer used foreign
TTTA extracted 244 structured relationships around Cas9. Examples in this analysis include Cas9 → Alt. symbols → SpCas9 and Cas9 → Chromosome → Genomic: 0.85 - 0.86 Mb. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Cas9 | Alt. symbols | SpCas9 | 1.00 | infobox |
| Cas9 | Chromosome | Genomic: 0.85 - 0.86 Mb | 1.00 | infobox |
| Cas9 | Domains | InterPro | 1.00 | infobox |
| Cas9 | EC number | 3.1.-.- | 1.00 | infobox |
| Cas9 | Entrez | 901176 | 1.00 | infobox |
| Cas9 | Organism | Streptococcus pyogenes M1 | 1.00 | infobox |
| Cas9 | Orthologs | NCBI: entry; OMA: entry | 1.00 | infobox |
| Cas9 | PDB | 4OO8 | 1.00 | infobox |
| Cas9 | RefSeq (mRNA) | NC_002737.2 | 1.00 | infobox |
| Cas9 | RefSeq (Prot) | NP_269215.1 | 1.00 | infobox |
| Cas9 | Search for | Search forStructuresSwiss-modelDomainsInterPro | 1.00 | infobox |
| Cas9 | Structures | Swiss-model | 1.00 | infobox |
| Cas9 | Symbol | cas9 | 1.00 | infobox |
| Cas9 | UniProt | Q99ZW2 | 1.00 | infobox |
| Cas9 | is a | 160-kilodalton endonuclease that requires a guide RNA composed of two distinct RNA molecules | 0.90 | text |
| Cas9 | is a | RNA-guided DNA endonuclease enzyme associated with the Clustered Regularly Interspaced Short Palindromic Repeats | 0.90 | text |
The concept neighborhoods around Cas9 bring nearby vocabulary together. In this analysis, examples include Dna, Genome and Crispr. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Cas9, one of the stronger structural bridges in this analysis connects Cas9 with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Cas9 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Applications, Research & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Cas9 · EN edition · Analysis: TopicsToTalkAbout