ATP6V1A

ATPase H+ transporting V1 subunit A P38606 VATA_HUMAN
Protein Coding Chr 3 3q13.31 Swiss-Prot reviewed Entrez 523
Mutations
325
CL 55 · Tissue 265
Samples
306
CL 51 · Tissue 251
Peptides
221
unique mutant peptides
Transcripts
2
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
Mutations32555265
Samples30651251
Peptides22131192

Function

ATP6V1A · ATPase H+ transporting V1 subunit A

This gene encodes a component of vacuolar ATPase (V-ATPase), a multisubunit enzyme that mediates acidification of eukaryotic intracellular organelles. V-ATPase dependent organelle acidification is necessary for such intracellular processes as protein sorting, zymogen activation, receptor-mediated endocytosis, and synaptic vesicle proton gradient generation. V-ATPase is composed of a cytosolic V1 domain and a transmembrane V0 domain. The V1 domain consists of three A and three B subunits, two G subunits plus the C, D, E, F, and H subunits. The V1 domain contains the ATP catalytic site. The V0 domain consists of five different subunits: a, c, c', c', and d. Additional isoforms of many of the V1 and V0 subunit proteins are encoded by multiple genes or alternatively spliced transcript variants. This encoded protein is one of two V1 domain A subunit isoforms and is found in all tissues. Transcript variants derived from alternative polyadenylation exist. [provided by RefSeq, Jul 2008].

Isoforms & Proteins

2 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
ENST00000273398 P38606 324 221
ENST00000703904 P38606 1 1

Gene Properties

Type
Protein Coding
Chromosome
3
Cytoband
3q13.31
Entrez ID
Aliases
ARCL2DATP6A1ATP6V1A1DEE93HO68IECEE3

Recurrent Mutations

All 221 amino-acid changes on canonical ENST00000273398 · 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 ATP6V1A · 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 ATP6V1A – 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
2/40 5%
0/0 0%
Endometrial Carcinoma
6/42 14%
13/612 2%
Squamous Cell Lung Carcinoma
1/57 2%
14/810 2%
Melanoma
1/210 0%
31/1899 2%
Cervical Carcinoma
1/35 3%
5/422 1%
Bladder Carcinoma
1/58 2%
12/956 1%
Colorectal Carcinoma
4/143 3%
34/3239 1%
Neuroendocrine Tumour
8/154 5%
0/577 0%
Non-Small Cell Lung Carcinoma
3/304 1%
13/1390 1%
Mesothelioma
2/62 3%
0/165 0%
Small Cell Lung Carcinoma
1/9 11%
5/752 1%
Thyroid Gland Carcinoma
0/45 0%
12/1592 1%
Hodgkins Lymphoma
0/16 0%
1/122 1%
Gastric Carcinoma
3/74 4%
10/1809 1%
Hepatocellular Carcinoma
1/46 2%
14/2210 1%
Esophageal Squamous Cell Carcinoma
3/51 6%
14/2550 1%
Head and Neck Carcinoma
1/85 1%
9/1574 1%
Non-Cancerous
1/104 1%
4/830 0%
Germ Cell Tumour
0/25 0%
1/169 1%
Other Sarcomas
0/69 0%
4/699 1%
Other Solid Cancers
0/94 0%
8/1515 1%
Rhabdomyosarcoma
1/33 3%
0/171 0%
Osteosarcoma
0/45 0%
1/166 1%
Ovarian Carcinoma
1/109 1%
4/998 0%
Breast Carcinoma
3/144 2%
12/3264 0%
Prostate Carcinoma
2/13 15%
5/2105 0%
Other Blood Cancers
1/61 2%
8/2725 0%
Glioma
0/52 0%
7/2127 0%
Ewings Sarcoma
1/63 2%
0/262 0%
Biliary Tract Carcinoma
0/54 0%
3/950 0%

Mutation Distribution

Where ATP6V1A is mutated · all tissues, split by cell line vs tissue

Mutation counts by tissue
Mutation Distribution

How many mutations in ATP6V1A 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 325 mutations in ATP6V1A

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