Stats by Source
Total, split by cell line (COSMIC CL / DepMap / PubMed) vs tissue (COSMIC primary tissue)
Total = all mutations for this gene across every source.
Cell line = COSMIC Cell Lines Project + DepMap + PubMed.
Tissue = COSMIC primary-tissue (patient tumour) samples.
Total can exceed cell line + tissue: COSMIC tissue-derived models sit only in global, and a peptide can be shared across both.
| Total | Cell line | Tissue | |
|---|---|---|---|
| Mutations | 153 | 38 | 115 |
| Samples | 143 | 36 | 107 |
| Peptides | 83 | 22 | 66 |
Function
IFNA4 · Interferon alpha 4
Predicted to enable cytokine activity and type I interferon receptor binding activity. Predicted to be involved in several processes, including B cell activation; lymphocyte activation involved in immune response; and positive regulation of peptidyl-serine phosphorylation of STAT protein. Predicted to be located in extracellular region. Predicted to be active in extracellular space. [provided by Alliance of Genome Resources, Apr 2022]
Isoforms & Proteins
1 transcript · UniProt mapping is sequence-verified (AA-safe)
Each Ensembl transcript (ENST) this gene is mutated on, with its matched UniProt accession.
The mapping is sequence-verified: the UniProt sequence is identical to the transcript translation, so amino-acid positions line up exactly. A * marks an unreviewed (TrEMBL) entry.
Counts are mutations and unique mutant peptides on each transcript.
| Transcript | UniProt | Mutations | Peptides |
|---|---|---|---|
| ENST00000421715 | P05014 | 153 | 83 |
Gene Properties
Recurrent Mutations
All 83 amino-acid changes on canonical ENST00000421715 · needle height = samples · drag the mini-map to zoom
A lollipop / needle plot – the standard way to show recurrent mutations along a protein (as used by cBioPortal and MutationMapper).
X-axis = amino-acid position in the protein.
Needle height & head size = how often that exact amino-acid change was observed (its recurrence). Tall/large heads are mutational hotspots.
The most recurrent changes are labelled; hover any needle for the change, position and counts.
Mutation frequency across cancer types
% of samples with a missense/complex mutation in IFNA4 · cell line vs tissue
For each cancer type, the fraction of samples that carry at least one missense/complex mutation anywhere in IFNA4 – counted as distinct samples (a sample counts once no matter how many mutations it has).
Split into cell line and tissue; each cell shows mutated / total and the percentage. Cohorts with <20 samples are omitted. Ordered by combined frequency.
| Cancer type | Cell lines | Tissue samples |
|---|---|---|
| T-Lymphoblastic Leukemia | 2/40 5% | 0/0 0% |
| Gastrointestinal Stromal Tumour | 0/0 0% | 2/133 2% |
| Hodgkins Lymphoma | 2/16 12% | 0/122 0% |
| Acute Myeloid Leukemia | 1/90 1% | 0/0 0% |
| Endometrial Carcinoma | 0/42 0% | 7/612 1% |
| Colorectal Carcinoma | 8/143 6% | 24/3239 1% |
| Melanoma | 9/210 4% | 6/1899 0% |
| Bladder Carcinoma | 2/58 3% | 5/956 1% |
| Squamous Cell Lung Carcinoma | 0/57 0% | 6/810 1% |
| Other Solid Cancers | 0/94 0% | 11/1515 1% |
| Non-Small Cell Lung Carcinoma | 0/304 0% | 9/1390 1% |
| Osteosarcoma | 1/45 2% | 0/166 0% |
| Cervical Carcinoma | 0/35 0% | 2/422 0% |
| Gastric Carcinoma | 2/74 3% | 6/1809 0% |
| Small Cell Lung Carcinoma | 0/9 0% | 3/752 0% |
| Esophageal Carcinoma | 0/23 0% | 3/769 0% |
| Ewings Sarcoma | 0/63 0% | 1/262 0% |
| Other Sarcomas | 1/69 1% | 1/699 0% |
| Breast Carcinoma | 3/144 2% | 6/3264 0% |
| Hepatocellular Carcinoma | 0/46 0% | 5/2210 0% |
| Head and Neck Carcinoma | 0/85 0% | 3/1574 0% |
| Thyroid Gland Carcinoma | 0/45 0% | 3/1592 0% |
| Neuroblastoma | 2/87 2% | 0/1331 0% |
| Biliary Tract Carcinoma | 0/54 0% | 1/950 0% |
| Glioma | 0/52 0% | 2/2127 0% |
| B-Cell Non-Hodgkins Lymphoma | 2/88 2% | 0/2534 0% |
| B-Lymphoblastic Leukemia | 1/55 2% | 0/2640 0% |
| Esophageal Squamous Cell Carcinoma | 0/51 0% | 1/2550 0% |
Mutation Distribution
Where IFNA4 is mutated · all tissues, split by cell line vs tissue
How many mutations in IFNA4 were found in each tissue, across the whole database.
Each bar is a tissue (cell-line and tissue names are merged to the standard tissue), split into cell line and tissue (patient tumour) contributions.
This shows the cancer-context where this gene is recurrently altered.
Mutations
All 153 mutations in IFNA4
Every mutation record for this gene, across all samples and sources.
The Sample column links to the cell line (cell-line samples) or the tissue type (tissue samples).
Use the Type / Source filters, the search box, and column sorting to explore; each CAN-IMMUNE ID opens the full mutation & peptide view.
| ID | Sample | Transcript | AA Change | CDS | Type | Source | Mutant Peptide | Wild-type Peptide |
|---|