ACO1

Aconitase 1 P21399 ACOHC_HUMAN
Protein Coding Chr 9 9p21.1 Swiss-Prot reviewed Entrez 48
Mutations
1,069
CL 174 · Tissue 885
Samples
351
CL 74 · Tissue 269
Peptides
289
unique mutant peptides
Transcripts
3
isoforms mutated

Stats by Source

Total, split by cell line (COSMIC CL / DepMap / PubMed) vs tissue (COSMIC primary tissue)

How the counts split by source
Stats by Source

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.

TotalCell lineTissue
Mutations1,069174885
Samples35174269
Peptides28960237

Function

ACO1 · Aconitase 1

The protein encoded by this gene is a bifunctional, cytosolic protein that functions as an essential enzyme in the TCA cycle and interacts with mRNA to control the levels of iron inside cells. When cellular iron levels are high, this protein binds to a 4Fe-4S cluster and functions as an aconitase. Aconitases are iron-sulfur proteins that function to catalyze the conversion of citrate to isocitrate. When cellular iron levels are low, the protein binds to iron-responsive elements (IREs), which are stem-loop structures found in the 5' UTR of ferritin mRNA, and in the 3' UTR of transferrin receptor mRNA. When the protein binds to IRE, it results in repression of translation of ferritin mRNA, and inhibition of degradation of the otherwise rapidly degraded transferrin receptor mRNA. The encoded protein has been identified as a moonlighting protein based on its ability to perform mechanistically distinct functions. Alternative splicing results in multiple transcript variants [provided by RefSeq, Jan 2014].

Isoforms & Proteins

3 transcripts · UniProt mapping is sequence-verified (AA-safe)

About the isoform mapping
Isoforms & Proteins

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.

TranscriptUniProtMutationsPeptides
ENST00000309951 P21399 386 289
ENST00000541043 P21399 342 273
ENST00000379923 P21399 341 272

Gene Properties

Type
Protein Coding
Chromosome
9
Cytoband
9p21.1
Entrez ID
Aliases
ACONSHEL60IREB1IREBPIREBP1IRP1

Recurrent Mutations

All 289 amino-acid changes on canonical ENST00000309951 · needle height = samples · drag the mini-map to zoom

What this lollipop shows
Recurrent Mutations

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 ACO1 · cell line vs tissue

How this frequency is counted
Cancer-type mutation frequency

For each cancer type, the fraction of samples that carry at least one missense/complex mutation anywhere in ACO1 – 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 typeCell linesTissue samples
T-Lymphoblastic Leukemia
4/40 10%
0/0 0%
Endometrial Carcinoma
5/42 12%
23/612 4%
Cervical Carcinoma
2/35 6%
7/422 2%
Colorectal Carcinoma
18/143 13%
42/3239 1%
Melanoma
2/210 1%
34/1899 2%
Gastric Carcinoma
0/74 0%
24/1809 1%
Bladder Carcinoma
1/58 2%
11/956 1%
Other Solid Cancers
3/94 3%
14/1515 1%
Glioblastoma
1/98 1%
0/0 0%
Hepatocellular Carcinoma
1/46 2%
22/2210 1%
Rhabdomyosarcoma
1/33 3%
1/171 1%
Osteosarcoma
1/45 2%
1/166 1%
Adrenocortical Carcinoma
0/3 0%
1/112 1%
Squamous Cell Lung Carcinoma
1/57 2%
6/810 1%
Non-Cancerous
1/104 1%
6/830 1%
Esophageal Squamous Cell Carcinoma
4/51 8%
15/2550 1%
Hodgkins Lymphoma
0/16 0%
1/122 1%
Non-Small Cell Lung Carcinoma
7/304 2%
5/1390 0%
Neuroendocrine Tumour
1/154 1%
4/577 1%
Head and Neck Carcinoma
1/85 1%
9/1574 1%
Germ Cell Tumour
0/25 0%
1/169 1%
Other Sarcomas
0/69 0%
4/699 1%
Esophageal Carcinoma
1/23 4%
3/769 0%
Biliary Tract Carcinoma
2/54 4%
3/950 0%
Breast Carcinoma
6/144 4%
9/3264 0%
Burkitts Lymphoma
1/32 3%
0/196 0%
Ovarian Carcinoma
0/109 0%
4/998 0%
Kidney Carcinoma
0/85 0%
7/1862 0%
B-Cell Non-Hodgkins Lymphoma
4/88 5%
5/2534 0%
Plasma Cell Myeloma
0/44 0%
1/305 0%

Mutation Distribution

Where ACO1 is mutated · all tissues, split by cell line vs tissue

Mutation counts by tissue
Mutation Distribution

How many mutations in ACO1 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.

GTEx Expression

Median TPM across 54 healthy tissues

GTEx Portal ↗
About the expression data
GTEx Expression

Median gene expression (TPM) in normal, non-cancer human tissues from the GTEx project.

Useful for judging tumour specificity – a strong neoantigen target ideally comes from a gene with low expression in healthy tissues.

Scroll or drag the mini-axis below the chart to browse all tissues.

Mutations

All 1,069 mutations in ACO1

About the mutation list
Mutations

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.

IDSampleTranscriptAA Change CDSTypeSourceMutant PeptideWild-type Peptide