PGP

Phosphoglycolate phosphatase A6NDG6 PGP_HUMAN
Protein Coding Chr 16 16p13.3 Swiss-Prot reviewed Entrez 283871
Mutations
85
CL 18 · Tissue 58
Samples
79
CL 17 · Tissue 58
Peptides
69
unique mutant peptides
Transcripts
1
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
Mutations851858
Samples791758
Peptides691647

Function

PGP · Phosphoglycolate phosphatase

Enables glycerol-3-phosphatase activity and phosphoglycolate phosphatase activity. Involved in glycerol biosynthetic process; glycerophospholipid metabolic process; and negative regulation of gluconeogenesis. Predicted to be active in cytoplasm. [provided by Alliance of Genome Resources, Apr 2022]

Isoforms & Proteins

1 transcript · 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
ENST00000333503 A6NDG6 85 69

Gene Properties

Type
Protein Coding
Chromosome
16
Cytoband
16p13.3
Entrez ID
Aliases
AUMG3PPPGPase

Recurrent Mutations

All 69 amino-acid changes on canonical ENST00000333503 · 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 PGP · 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 PGP – 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
Chronic Myelogenous Leukemia
1/25 4%
0/0 0%
T-Cell Non-Hodgkins Lymphoma
1/26 4%
0/0 0%
T-Lymphoblastic Leukemia
1/40 2%
0/0 0%
Gastrointestinal Stromal Tumour
0/0 0%
2/133 2%
Hodgkins Lymphoma
0/16 0%
1/122 1%
Plasma Cell Myeloma
1/44 2%
1/305 0%
Germ Cell Tumour
0/25 0%
1/169 1%
Thyroid Gland Carcinoma
0/45 0%
8/1592 0%
Bladder Carcinoma
1/58 2%
4/956 0%
Burkitts Lymphoma
0/32 0%
1/196 1%
Colorectal Carcinoma
1/143 1%
13/3239 0%
Melanoma
3/210 1%
4/1899 0%
Ovarian Carcinoma
2/109 2%
1/998 0%
Gastric Carcinoma
1/74 1%
3/1809 0%
Hepatocellular Carcinoma
0/46 0%
4/2210 0%
Glioma
0/52 0%
4/2127 0%
Neuroendocrine Tumour
0/154 0%
1/577 0%
Prostate Carcinoma
0/13 0%
3/2105 0%
Small Cell Lung Carcinoma
0/9 0%
1/752 0%
Esophageal Carcinoma
0/23 0%
1/769 0%
Other Solid Cancers
1/94 1%
1/1515 0%
Head and Neck Carcinoma
0/85 0%
2/1574 0%
B-Cell Non-Hodgkins Lymphoma
1/88 1%
2/2534 0%
Biliary Tract Carcinoma
0/54 0%
1/950 0%
Pancreatic Carcinoma
1/89 1%
0/1611 0%
Breast Carcinoma
2/144 1%
0/3264 0%
Kidney Carcinoma
0/85 0%
1/1862 0%
Esophageal Squamous Cell Carcinoma
0/51 0%
1/2550 0%
B-Lymphoblastic Leukemia
0/55 0%
1/2640 0%

Mutation Distribution

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

Mutation counts by tissue
Mutation Distribution

How many mutations in PGP 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 85 mutations in PGP

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