SCN5A Gene Complete Identifier and Functional Mapping Reference
Provide a comprehensive cross-database identifier and functional mapping reference for human SCN5A. This should serve as a definitive lookup resource …
Provide a comprehensive cross-database identifier and functional mapping reference for human SCN5A. This should serve as a definitive lookup resource for researchers. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 1: GENE IDENTIFIERS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Provide ALL gene-level database identifiers: - HGNC ID and approved symbol - Ensembl gene ID (ENSG) - NCBI Entrez Gene ID - OMIM gene/locus ID - Genomic location: chromosome, start position, end position, strand ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 2: TRANSCRIPT IDENTIFIERS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ List ALL transcript-level identifiers: - Ensembl transcripts: ALL ENST IDs with biotype (protein_coding, etc.) How many total transcripts? - RefSeq transcripts: ALL NM_ mRNA accessions Mark which is MANE Select (canonical clinical standard) - CCDS IDs: ALL consensus coding sequence identifiers For the CANONICAL/MANE SELECT transcript: - List ALL exon IDs (ENSE) with genomic coordinates - Total exon count ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 3: PROTEIN IDENTIFIERS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ List ALL protein-level identifiers: - UniProt accessions: ALL entries (reviewed and unreviewed) Mark the canonical reviewed entry - RefSeq protein: ALL NP_ accessions Protein domains and families: - List ALL annotated domains/families with identifiers - Include: domain name, type (domain/family/superfamily), and ID ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 4: STRUCTURE IDENTIFIERS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Experimental structures: - List ALL PDB structure IDs - For each: experimental method (X-ray, NMR, Cryo-EM) and resolution - Total PDB structure count Predicted structures: - AlphaFold model ID and confidence metrics (pLDDT) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 5: CROSS-SPECIES ORTHOLOGS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ List orthologous genes in key model organisms (where available): - Mouse (Mus musculus): gene ID, symbol - Rat (Rattus norvegicus): gene ID, symbol - Zebrafish (Danio rerio): gene ID, symbol - Fruit fly (Drosophila melanogaster): gene ID, symbol - Worm (C. elegans): gene ID, symbol - Yeast (S. cerevisiae): gene ID, symbol ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 6: CLINICAL VARIANTS & AI PREDICTIONS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Clinical variant annotations: - Total variant count in clinical databases - Breakdown by classification: Pathogenic, Likely Pathogenic, Uncertain Significance (VUS), Likely Benign, Benign - List TOP 50 pathogenic/likely pathogenic variants with: variant ID, HGVS notation, associated condition AI-based variant effect predictions: - Splice effect predictions: Total count List TOP 50 predicted splice-altering variants with delta scores - Missense pathogenicity predictions: Total count List TOP 50 predicted pathogenic missense variants with scores ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 7: BIOLOGICAL PATHWAYS & GENE ONTOLOGY ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Pathway membership: - List ALL biological pathways this gene participates in - Include pathway IDs and names - Total pathway count Gene Ontology annotations: - Biological Process: count and TOP 20 terms with IDs - Molecular Function: count and TOP 20 terms with IDs - Cellular Component: count and TOP 20 terms with IDs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 8: PROTEIN INTERACTIONS & MOLECULAR NETWORKS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Protein-protein interactions: - Total interaction count - List TOP 50 highest-confidence interacting proteins with scores Protein similarity (evolutionary and structural): - Structural/embedding similarity: How many similar proteins? List TOP 20 with similarity scores - Sequence homology: How many homologous proteins? List TOP 20 with identity/similarity scores ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 9: TRANSCRIPTION FACTOR REGULATORY DATA ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ If this gene encodes a transcription factor: Downstream targets (genes regulated BY this TF): - Total target gene count - List TOP 50 target genes with regulation type (activates/represses) DNA binding profiles: - List ALL known binding motif IDs - Motif family classification Upstream regulators (TFs that regulate THIS gene): - List known transcriptional regulators with evidence type ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 10: DRUG & PHARMACOLOGY DATA ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ If this gene/protein is a drug target: Targeting molecules: - How many drug/compound molecules target this protein? - List TOP 30 molecules by development phase - Include: molecule ID, name, mechanism, highest development phase Clinical trials: - How many clinical trials involve drugs targeting this gene? - List TOP 20 trials with: trial ID, phase, status, intervention Pharmacogenomics: - Known drug-gene interactions affecting drug response - Dosing guidelines if any exist ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 11: EXPRESSION PROFILES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Tissue expression: - Which tissues express this gene most highly? - List TOP 30 tissues with expression scores/levels - Note any tissue-specific or tissue-enriched patterns Cell type expression: - Which cell types show highest expression? - List TOP 30 cell types with expression scores - Note any cell type-specific patterns Single-cell expression data (if available): - Which single-cell datasets/experiments include this gene? - Notable cell population patterns ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SECTION 12: DISEASE ASSOCIATIONS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Mendelian/monogenic disease links: - What diseases are caused by mutations in this gene? - List ALL associated diseases with: disease name, disease ID, inheritance pattern, evidence level Phenotype associations: - What clinical phenotypes are associated with this gene? - List TOP 50 phenotype terms with IDs Complex trait associations (GWAS): - What traits/diseases are linked via genome-wide association studies? - List TOP 30 GWAS associations with: trait, study ID, p-value, effect size if available ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FORMATTING REQUIREMENTS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - Present each section with clear headers - Use tables for listing multiple items - Always include COUNTS for every category - For lists with >50 items: show total count + TOP 50 - For lists with <50 items: show ALL items - Always include database identifiers (IDs), not just names - Mark canonical/primary/reviewed entries where applicable - If a section has no data available, state "No data available" rather than omitting the section
Structured Data Sources
This answer was generated using Claude Opus 4.5 + BioBTree MCP, querying 33 biological databases.
Further analyze this answer or run your own queries with BioBTree MCP.
alphafold, alphamissense, bgee, bgee_evidence, ccds, chembl_molecule, chembl_target, clinvar, collectri, diamond_similarity, ensembl, entrez, esm2_similarity, exon, gencc, go, gwas, hgnc, hpo, intact, interpro, mim, ortholog, orthologentrez, pdb, pharmgkb, pharmgkb_gene, reactome, refseq, spliceai, string_interaction, transcript, uniprotView API calls (42)
- search(SCN5A) https://sugi.bio/biobtree/api/search?i=SCN5A
- search(SCN5A, hgnc) https://sugi.bio/biobtree/api/search?i=SCN5A&s=hgnc
- search(SCN5A, ensembl) https://sugi.bio/biobtree/api/search?i=SCN5A&s=ensembl
- entry(HGNC:10593, hgnc) https://sugi.bio/biobtree/api/entry?i=HGNC%3A10593&s=hgnc
- entry(ENSG00000183873, ensembl) https://sugi.bio/biobtree/api/entry?i=ENSG00000183873&s=ensembl
- entry(6331, entrez) https://sugi.bio/biobtree/api/entry?i=6331&s=entrez
- map(HGNC:10593, >>hgnc>>mim) https://sugi.bio/biobtree/api/map?i=HGNC%3A10593&m=%3E%3Ehgnc%3E%3Emim
- map(ENSG00000183873, >>ensembl>>transcript) https://sugi.bio/biobtree/api/map?i=ENSG00000183873&m=%3E%3Eensembl%3E%3Etranscript
- map(ENSG00000183873, >>ensembl>>uniprot) https://sugi.bio/biobtree/api/map?i=ENSG00000183873&m=%3E%3Eensembl%3E%3Euniprot
- map(HGNC:10593, >>hgnc>>refseq) https://sugi.bio/biobtree/api/map?i=HGNC%3A10593&m=%3E%3Ehgnc%3E%3Erefseq
- map(HGNC:10593, >>hgnc>>ccds) https://sugi.bio/biobtree/api/map?i=HGNC%3A10593&m=%3E%3Ehgnc%3E%3Eccds
- entry(ENST00000333535, transcript) https://sugi.bio/biobtree/api/entry?i=ENST00000333535&s=transcript
- map(ENST00000333535, >>transcript>>exon) https://sugi.bio/biobtree/api/map?i=ENST00000333535&m=%3E%3Etranscript%3E%3Eexon
- entry(Q14524, uniprot) https://sugi.bio/biobtree/api/entry?i=Q14524&s=uniprot
- map(Q14524, >>uniprot>>interpro) https://sugi.bio/biobtree/api/map?i=Q14524&m=%3E%3Euniprot%3E%3Einterpro
- map(Q14524, >>uniprot>>alphafold) https://sugi.bio/biobtree/api/map?i=Q14524&m=%3E%3Euniprot%3E%3Ealphafold
- map(Q14524, >>uniprot>>pdb) https://sugi.bio/biobtree/api/map?i=Q14524&m=%3E%3Euniprot%3E%3Epdb
- map(ENSG00000183873, >>ensembl>>ortholog) https://sugi.bio/biobtree/api/map?i=ENSG00000183873&m=%3E%3Eensembl%3E%3Eortholog
- map(HGNC:10593, >>hgnc>>clinvar) https://sugi.bio/biobtree/api/map?i=HGNC%3A10593&m=%3E%3Ehgnc%3E%3Eclinvar
- map(HGNC:10593, >>hgnc>>spliceai) https://sugi.bio/biobtree/api/map?i=HGNC%3A10593&m=%3E%3Ehgnc%3E%3Espliceai
- map(Q14524, >>uniprot>>go) https://sugi.bio/biobtree/api/map?i=Q14524&m=%3E%3Euniprot%3E%3Ego
- map(Q14524, >>uniprot>>reactome) https://sugi.bio/biobtree/api/map?i=Q14524&m=%3E%3Euniprot%3E%3Ereactome
- map(HGNC:10593, >>hgnc>>clinvar[germline_classification=="Pathogenic"]) https://sugi.bio/biobtree/api/map?i=HGNC%3A10593&m=%3E%3Ehgnc%3E%3Eclinvar%5Bgermline_classification%3D%3D%22Pathogenic%22%5D
- map(HGNC:10593, >>hgnc>>clinvar[germline_classification=="Likely pathogenic"]) https://sugi.bio/biobtree/api/map?i=HGNC%3A10593&m=%3E%3Ehgnc%3E%3Eclinvar%5Bgermline_classification%3D%3D%22Likely%20pathogenic%22%5D
- map(Q14524, >>uniprot>>string_interaction) https://sugi.bio/biobtree/api/map?i=Q14524&m=%3E%3Euniprot%3E%3Estring_interaction
- map(Q14524, >>uniprot>>alphamissense) https://sugi.bio/biobtree/api/map?i=Q14524&m=%3E%3Euniprot%3E%3Ealphamissense
- map(Q14524, >>uniprot>>chembl_target) https://sugi.bio/biobtree/api/map?i=Q14524&m=%3E%3Euniprot%3E%3Echembl_target
- map(CHEMBL1980, >>chembl_target>>chembl_molecule) https://sugi.bio/biobtree/api/map?i=CHEMBL1980&m=%3E%3Echembl_target%3E%3Echembl_molecule
- map(HGNC:10593, >>hgnc>>gencc) https://sugi.bio/biobtree/api/map?i=HGNC%3A10593&m=%3E%3Ehgnc%3E%3Egencc
- map(HGNC:10593, >>hgnc>>hpo) https://sugi.bio/biobtree/api/map?i=HGNC%3A10593&m=%3E%3Ehgnc%3E%3Ehpo
- map(ENSG00000183873, >>ensembl>>bgee) https://sugi.bio/biobtree/api/map?i=ENSG00000183873&m=%3E%3Eensembl%3E%3Ebgee
- map(HGNC:10593, >>hgnc>>gwas) https://sugi.bio/biobtree/api/map?i=HGNC%3A10593&m=%3E%3Ehgnc%3E%3Egwas
- map(Q14524, >>uniprot>>esm2_similarity) https://sugi.bio/biobtree/api/map?i=Q14524&m=%3E%3Euniprot%3E%3Eesm2_similarity
- map(Q14524, >>uniprot>>diamond_similarity) https://sugi.bio/biobtree/api/map?i=Q14524&m=%3E%3Euniprot%3E%3Ediamond_similarity
- map(HGNC:10593, >>hgnc>>collectri) https://sugi.bio/biobtree/api/map?i=HGNC%3A10593&m=%3E%3Ehgnc%3E%3Ecollectri
- map(ENSG00000183873, >>ensembl>>bgee>>bgee_evidence) https://sugi.bio/biobtree/api/map?i=ENSG00000183873&m=%3E%3Eensembl%3E%3Ebgee%3E%3Ebgee_evidence
- map(HGNC:10593, >>hgnc>>pharmgkb_gene) https://sugi.bio/biobtree/api/map?i=HGNC%3A10593&m=%3E%3Ehgnc%3E%3Epharmgkb_gene
- entry(600163, mim) https://sugi.bio/biobtree/api/entry?i=600163&s=mim
- map(PA304, >>pharmgkb_gene>>pharmgkb) https://sugi.bio/biobtree/api/map?i=PA304&m=%3E%3Epharmgkb_gene%3E%3Epharmgkb
- map(CHEMBL1980, >>chembl_target>>chembl_molecule[highestDevelopmentPhase==4]) https://sugi.bio/biobtree/api/map?i=CHEMBL1980&m=%3E%3Echembl_target%3E%3Echembl_molecule%5BhighestDevelopmentPhase%3D%3D4%5D
- map(Q14524, >>uniprot>>intact) https://sugi.bio/biobtree/api/map?i=Q14524&m=%3E%3Euniprot%3E%3Eintact
- map(6331, >>entrez>>orthologentrez) https://sugi.bio/biobtree/api/map?i=6331&m=%3E%3Eentrez%3E%3Eorthologentrez
Now let me compile the comprehensive reference document. Write(hugo/content/biobtree/scn5a-gene-complete-identifier-and-functional-mapping.md) 1 — 2 title: “SCN5A Gene: Complete Identifier and Functional Mapping” 3 date: 2026-03-27 4 draft: false 5 description: “Comprehensive cross-database identifier and functional mapping reference for human SCN5A (Sodium voltage-gated channel alpha subunit 5)” 6 tags: [“gene”, “SCN5A”, “cardiac”, “ion channel”, “arrhythmia”, “Brugada syndrome”, “Long QT syndrome”] 7 — 8 ``` 9 ╔═══════════════════════════════════════════════════════════════════════════════╗ I’ve created a comprehensive cross-database identifier and functional mapping reference for human SCN5A (Sodium voltage-gated channel alpha subunit 5). The document has been saved to: /data/biobtree-content/hugo/content/biobtree/scn5a-gene-complete-identifier-and-functional-mapping.md Summary of Coverage
| Section | Key Data Points |
|---|---|
| Gene Identifiers | HGNC:10593, ENSG00000183873, Entrez:6331, OMIM:600163 |
| Genomic Location | Chr 3p22.2, 38,548,057-38,649,743 (minus strand) |
| Transcripts | 16 Ensembl transcripts, 11 human RefSeq mRNAs, MANE Select: NM_000335 |
| Exons | 28 exons for canonical transcript |
| Proteins | 9 UniProt entries, canonical Q14524 (2,016 aa, 227 kDa) |
| Domains | 9 InterPro domains including voltage-gated Na+ channel family |
| Structures | 14 PDB structures (5 Cryo-EM, 6 X-ray, 3 NMR) |
| Orthologs | Mouse (Scn5a), Rat (Scn5a) - vertebrate-specific gene |
| Clinical Variants | 4,334 ClinVar variants (100+ pathogenic, 100+ likely pathogenic) |
| SpliceAI | 5,420 splice predictions |
| AlphaMissense | 13,357 missense predictions |
| GO Terms | 67 terms (16 MF, 38 BP, 13 CC) |
| Pathways | 2 Reactome pathways (cardiac action potential) |
| Interactions | 1,878 STRING, 172 IntAct experimentally validated |
| Protein Similarity | 62 ESM2, 53 DIAMOND homologs |
| TF Regulators | 20 upstream regulators (TBX5, FOXO1, SP1, etc.) |
| Drug Targets | 89 approved drugs, ChEMBL target CHEMBL1980 |
| Expression | Highest in cardiac tissues (heart ventricles 93-96 score) |
| Disease Associations | 23 GenCC, 105 HPO phenotypes, 193 GWAS associations |
| Key Diseases | Brugada syndrome, Long QT syndrome 3, Dilated cardiomyopathy 1E |