NAGA

Alpha-N-acetylgalactosaminidase P17050 NAGAB_HUMAN
Protein Coding Chr 22 22q13.2 Swiss-Prot reviewed Entrez 4668
Mutations
575
CL 90 · Tissue 477
Samples
203
CL 44 · Tissue 156
Peptides
152
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
Mutations57590477
Samples20344156
Peptides15230125

Function

NAGA · Alpha-N-acetylgalactosaminidase

NAGA encodes the lysosomal enzyme alpha-N-acetylgalactosaminidase, which cleaves alpha-N-acetylgalactosaminyl moieties from glycoconjugates. Mutations in NAGA have been identified as the cause of Schindler disease types I and II (type II also known as Kanzaki disease). [provided by RefSeq, Jul 2008].

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
ENST00000396398 P17050 209 152
ENST00000402937 P17050 183 143
ENST00000403363 P17050 183 143

Gene Properties

Type
Protein Coding
Chromosome
22
Cytoband
22q13.2
Entrez ID
Aliases
D22S674GALB

Recurrent Mutations

All 152 amino-acid changes on canonical ENST00000396398 · 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 NAGA · 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 NAGA – 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
9/40 22%
0/0 0%
T-Cell Non-Hodgkins Lymphoma
2/26 8%
0/0 0%
Oral Cavity Carcinoma
1/54 2%
0/0 0%
Colorectal Carcinoma
8/143 6%
30/3239 1%
Acute Myeloid Leukemia
1/90 1%
0/0 0%
Endometrial Carcinoma
1/42 2%
6/612 1%
Melanoma
1/210 0%
21/1899 1%
Germ Cell Tumour
0/25 0%
2/169 1%
Head and Neck Carcinoma
3/85 4%
13/1574 1%
Gastric Carcinoma
2/74 3%
15/1809 1%
Hodgkins Lymphoma
0/16 0%
1/122 1%
Cervical Carcinoma
0/35 0%
3/422 1%
Non-Small Cell Lung Carcinoma
3/304 1%
6/1390 0%
Other Sarcomas
2/69 3%
2/699 0%
Rhabdomyosarcoma
0/33 0%
1/171 1%
Neuroendocrine Tumour
3/154 2%
0/577 0%
Other Solid Cancers
1/94 1%
5/1515 0%
Hepatocellular Carcinoma
0/46 0%
8/2210 0%
Non-Cancerous
1/104 1%
2/830 0%
Bladder Carcinoma
0/58 0%
3/956 0%
Prostate Carcinoma
0/13 0%
6/2105 0%
Ovarian Carcinoma
2/109 2%
1/998 0%
Esophageal Squamous Cell Carcinoma
0/51 0%
7/2550 0%
Pancreatic Carcinoma
1/89 1%
3/1611 0%
Thyroid Gland Carcinoma
0/45 0%
4/1592 0%
Squamous Cell Lung Carcinoma
0/57 0%
2/810 0%
Glioma
0/52 0%
5/2127 0%
Kidney Carcinoma
1/85 1%
3/1862 0%
Biliary Tract Carcinoma
0/54 0%
2/950 0%
Breast Carcinoma
0/144 0%
5/3264 0%

Mutation Distribution

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

Mutation counts by tissue
Mutation Distribution

How many mutations in NAGA 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 575 mutations in NAGA

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