HIF1A Gene Complete Identifier and Functional Mapping Reference
Provide a comprehensive cross-database identifier and functional mapping reference for human HIF1A. This should serve as a definitive lookup resource …
Provide a comprehensive cross-database identifier and functional mapping reference for human HIF1A. 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 35 biological databases.
Further analyze this answer or run your own queries with BioBTree MCP.
alphafold, alphamissense, bgee, ccds, chembl_molecule, chembl_target, cl, clinvar, collectri, diamond_similarity, ensembl, entrez, esm2_similarity, exon, go, gwas, hgnc, hpo, intact, interpro, jaspar, mim, ortholog, pdb, pharmgkb, pharmgkb_gene, reactome, refseq, scxa, signor, spliceai, string_interaction, transcript, uberon, uniprotView API calls (48)
- search(HIF1A) https://sugi.bio/biobtree/api/search?i=HIF1A
- entry(HGNC:4910, hgnc) https://sugi.bio/biobtree/api/entry?i=HGNC%3A4910&s=hgnc
- map(HGNC:4910, >>hgnc>>ensembl) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Eensembl
- map(HGNC:4910, >>hgnc>>entrez) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Eentrez
- map(HGNC:4910, >>hgnc>>mim) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Emim
- map(HGNC:4910, >>hgnc>>uniprot) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Euniprot
- map(HGNC:4910, >>hgnc>>refseq) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Erefseq
- entry(ENSG00000100644, ensembl) https://sugi.bio/biobtree/api/entry?i=ENSG00000100644&s=ensembl
- entry(Q16665, uniprot) https://sugi.bio/biobtree/api/entry?i=Q16665&s=uniprot
- map(ENSG00000100644, >>ensembl>>transcript) https://sugi.bio/biobtree/api/map?i=ENSG00000100644&m=%3E%3Eensembl%3E%3Etranscript
- map(HGNC:4910, >>hgnc>>ccds) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Eccds
- map(ENST00000337138, >>transcript>>exon) https://sugi.bio/biobtree/api/map?i=ENST00000337138&m=%3E%3Etranscript%3E%3Eexon
- map(Q16665, >>uniprot>>interpro) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Einterpro
- map(Q16665, >>uniprot>>pdb) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Epdb
- map(Q16665, >>uniprot>>alphafold) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Ealphafold
- map(ENSG00000100644, >>ensembl>>ortholog) https://sugi.bio/biobtree/api/map?i=ENSG00000100644&m=%3E%3Eensembl%3E%3Eortholog
- map(HGNC:4910, >>hgnc>>clinvar) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Eclinvar
- map(HGNC:4910, >>hgnc>>clinvar) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Eclinvar
- map(HGNC:4910, >>hgnc>>spliceai) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Espliceai
- map(Q16665, >>uniprot>>alphamissense) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Ealphamissense
- map(Q16665, >>uniprot>>go) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Ego
- map(Q16665, >>uniprot>>reactome) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Ereactome
- map(Q16665, >>uniprot>>go) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Ego
- map(Q16665, >>uniprot>>string_interaction) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Estring_interaction
- map(Q16665, >>uniprot>>intact) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Eintact
- map(Q16665, >>uniprot>>esm2_similarity) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Eesm2_similarity
- map(Q16665, >>uniprot>>diamond_similarity) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Ediamond_similarity
- map(Q16665, >>uniprot>>jaspar) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Ejaspar
- map(HGNC:4910, >>hgnc>>collectri) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Ecollectri
- map(Q16665, >>uniprot>>chembl_target) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Echembl_target
- map(ENSG00000100644, >>ensembl>>bgee) https://sugi.bio/biobtree/api/map?i=ENSG00000100644&m=%3E%3Eensembl%3E%3Ebgee
- map(HGNC:4910, >>hgnc>>hpo) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Ehpo
- map(HGNC:4910, >>hgnc>>gwas) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Egwas
- map(HGNC:4910, >>hgnc>>pharmgkb_gene) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Epharmgkb_gene
- map(CHEMBL4261, >>chembl_target>>chembl_molecule) https://sugi.bio/biobtree/api/map?i=CHEMBL4261&m=%3E%3Echembl_target%3E%3Echembl_molecule
- map(HGNC:4910, >>hgnc>>collectri) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Ecollectri
- entry(ENSG00000100644, bgee) https://sugi.bio/biobtree/api/entry?i=ENSG00000100644&s=bgee
- map(ENSG00000100644, >>ensembl>>bgee>>uberon) https://sugi.bio/biobtree/api/map?i=ENSG00000100644&m=%3E%3Eensembl%3E%3Ebgee%3E%3Euberon
- map(PA29283, >>pharmgkb_gene>>pharmgkb) https://sugi.bio/biobtree/api/map?i=PA29283&m=%3E%3Epharmgkb_gene%3E%3Epharmgkb
- map(ENSG00000100644, >>ensembl>>scxa) https://sugi.bio/biobtree/api/map?i=ENSG00000100644&m=%3E%3Eensembl%3E%3Escxa
- map(HGNC:4910, >>hgnc>>collectri) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Ecollectri
- map(CHEMBL4261, >>chembl_target>>chembl_molecule[highestDevelopmentPhase>=3]) https://sugi.bio/biobtree/api/map?i=CHEMBL4261&m=%3E%3Echembl_target%3E%3Echembl_molecule%5BhighestDevelopmentPhase%3E%3D3%5D
- map(603348, >>mim>>clinvar) https://sugi.bio/biobtree/api/map?i=603348&m=%3E%3Emim%3E%3Eclinvar
- map(ENSG00000100644, >>ensembl>>bgee>>cl) https://sugi.bio/biobtree/api/map?i=ENSG00000100644&m=%3E%3Eensembl%3E%3Ebgee%3E%3Ecl
- map(Q16665, >>uniprot>>signor) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Esignor
- map(Q16665, >>uniprot>>alphamissense[am_class=="likely_pathogenic"]) https://sugi.bio/biobtree/api/map?i=Q16665&m=%3E%3Euniprot%3E%3Ealphamissense%5Bam_class%3D%3D%22likely_pathogenic%22%5D
- map(HGNC:4910, >>hgnc>>collectri) https://sugi.bio/biobtree/api/map?i=HGNC%3A4910&m=%3E%3Ehgnc%3E%3Ecollectri
- entry(Q16665, alphafold) https://sugi.bio/biobtree/api/entry?i=Q16665&s=alphafold
Search(pattern: “hugo/content/biobtree/hif.md”) Read(hugo/content/biobtree/abl1-gene-complete-identifier-and-functional-mapping.md) Now I’ll compile all the gathered data into a comprehensive reference document. Write(hugo/content/biobtree/hif1a-gene-complete-identifier-and-functional-mapping.md) 1 — 2 title: “HIF1A Gene Complete Identifier and Functional Mapping Reference” 3 description: “Answer to: Provide a comprehensive cross-database identifier and functional mapping” 4 entity: “HIF1A” 5 date: “2026-04-01” 6 question: | 7 Provide a comprehensive cross-database identifier and functional mapping 8 reference for human HIF1A. This should serve as a definitive 9 lookup resource for researchers. 10 — I’ve created a comprehensive cross-database identifier and functional mapping reference for HIF1A (Hypoxia Inducible Factor 1 Subunit Alpha). The document has been saved to: hugo/content/biobtree/hif1a-gene-complete-identifier-and-functional-mapping.md Summary of Key Findings Gene Identifiers
HGNC:4910 | ENSG00000100644 | Entrez: 3091 | OMIM: 603348
Location: Chromosome 14q23.2 (61,695,456-61,748,263, + strand) Transcripts & Protein
28 Ensembl transcripts (20 protein-coding)
MANE Select: NM_001530 / ENST00000337138
Canonical protein: Q16665 (826 aa, 92.7 kDa)
10 InterPro domains including bHLH, PAS, and HIF-1 CTAD domains Structures
25 PDB structures (X-ray, NMR, Cryo-EM)
AlphaFold model: AF-Q16665-F1 (pLDDT: 61.4) Clinical Variants
133 ClinVar variants (2 Pathogenic, 4 Likely Pathogenic)
1,937 SpliceAI predictions | 5,490 AlphaMissense predictions Pathways & Interactions
11 Reactome pathways (hypoxia response, HIF regulation)
118 GO terms | 8,125+ STRING interactions | 327 IntAct interactions Transcription Factor Activity
550+ target genes (VEGFA, EPO, LDHA, GLUT1, etc.)
4 JASPAR binding motifs (E-box binding with ARNT) Pharmacology
5 ChEMBL target entries | VIP gene in PharmGKB
Drug associations: Pemetrexed, Axitinib, Pazopanib Expression
Ubiquitous expression (295 tissues/conditions)
Highest: pancreatic cells, epididymis, cartilage, lung
8 single-cell datasets in Expression Atlas