MT1G

gene
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Also known as MT1K

Summary

MT1G (metallothionein 1G, HGNC:7399) is a protein-coding gene on chromosome 16q13, encoding Metallothionein-1G (P13640). Metallothioneins have a high content of cysteine residues that bind various heavy metals; these proteins are transcriptionally regulated by both heavy metals and glucocorticoids. It is a selective cancer dependency (DepMap: 11.3% of cell lines).

Enables zinc ion binding activity. Involved in several processes, including cellular response to cadmium ion; cellular response to copper ion; and cellular response to zinc ion. Located in cytoplasm and nucleus.

Source: NCBI Gene 4495 — RefSeq curated summary.

At a glance

  • GWAS associations: 1
  • Clinical variants (ClinVar): 28 total
  • Cancer dependency (DepMap): dependent in 11.3% of screened cell lines
  • MANE Select transcript: NM_001301267

Identifiers

Gene identifiers

FieldValue
HGNC IDHGNC:7399
Approved symbolMT1G
Namemetallothionein 1G
Location16q13
Locus typegene with protein product
StatusApproved
AliasesMT1K
Ensembl geneENSG00000125144
Ensembl biotypeprotein_coding
OMIM156353
Entrez4495

Gene structure

Transcript identifiers

Ensembl transcripts: 5 — 4 protein_coding, 1 retained_intron

ENST00000379811, ENST00000444837, ENST00000568675, ENST00000569500, ENST00000929125

RefSeq mRNA: 2 — MANE Select: NM_001301267 NM_001301267, NM_005950

CCDS: CCDS10766, CCDS76873

Canonical transcript exons

ENST00000379811 — 3 exons

ExonStartEnd
ENSE000000000315666673056666970
ENSE000017670995666731256667380
ENSE000039025885666796656668065

Expression profiles

Bgee: expression breadth ubiquitous, 288 present calls, max score 99.92.

FANTOM5 (CAGE): breadth ubiquitous, TPM avg 197.6123 / max 32115.9310, expressed in 1009 samples.

FANTOM5 promoters (1 alternative TSS)

Promoter IDTPM avgSamples expressed
157495197.61231009

Top tissues by expression

293 total, by Bgee expression score (0-100, higher = more expressed):

TissueAnatomy IDExpression scoreQuality
mucosa of transverse colonUBERON:000499199.92gold quality
right lobe of liverUBERON:000111499.88gold quality
ileal mucosaUBERON:000033199.78gold quality
adult mammalian kidneyUBERON:000008299.67gold quality
right lobe of thyroid glandUBERON:000111999.63gold quality
liverUBERON:000210799.62gold quality
left lobe of thyroid glandUBERON:000112099.59gold quality
buccal mucosa cellCL:000233699.52gold quality
thyroid glandUBERON:000204699.51gold quality
body of pancreasUBERON:000115099.33gold quality
nephron tubuleUBERON:000123199.33gold quality
rectumUBERON:000105299.28gold quality
adult organismUBERON:000702399.19gold quality
kidney epitheliumUBERON:000481999.16gold quality
tongue squamous epitheliumUBERON:000691998.93gold quality
metanephric glomerulusUBERON:000473698.88gold quality
renal glomerulusUBERON:000007498.78gold quality
mucosa of sigmoid colonUBERON:000499398.75gold quality
colonic mucosaUBERON:000031798.61gold quality
olfactory bulbUBERON:000226498.56gold quality
dorsal motor nucleus of vagus nerveUBERON:000287098.53gold quality
inferior olivary complexUBERON:000212798.18gold quality
duodenumUBERON:000211498.12gold quality
medial globus pallidusUBERON:000247798.10gold quality
cingulate cortexUBERON:000302798.07gold quality
tibialis anteriorUBERON:000138598.06gold quality
lateral globus pallidusUBERON:000247698.04gold quality
anterior cingulate cortexUBERON:000983598.04gold quality
putamenUBERON:000187498.01gold quality
cartilage tissueUBERON:000241898.00gold quality

Single-cell (SCXA)

Detected in 35 experiment(s), a significant marker in 33.

ExperimentMarker?Max mean expression
E-GEOD-124472yes63370.06
E-MTAB-8221yes45609.29
E-MTAB-7407yes34489.32
E-CURD-98yes24893.91
E-MTAB-9841yes22142.83
E-MTAB-10885yes21423.53
E-GEOD-130473yes19763.29
E-MTAB-9906yes16615.41
E-MTAB-10283yes13096.60
E-CURD-122yes11786.51
E-HCAD-9yes11690.24
E-MTAB-10855yes10878.99
E-MTAB-8142yes6198.20
E-HCAD-38yes5115.16
E-MTAB-8410yes4307.62

Regulation

Is transcription factor: no

Upstream regulators (CollecTRI, top): E2F1, E2F2, E2F3, E2F4, E2F5, SPI1

miRNA regulators (miRDB)

8 targeting MT1G, top 30 by miRDB confidence (max_score; target_count = how many genes the miRNA targets in total — lower means more specific):

miRNAMax scoreAvg scoremiRNA target_count
HSA-MIR-513A-5P100.0069.772465
HSA-MIR-548P99.9872.253784
HSA-MIR-27A-3P99.9872.132955
HSA-MIR-27B-3P99.9872.132955
HSA-MIR-998599.9872.112939
HSA-MIR-94499.8270.853042
HSA-MIR-129099.5969.902079
HSA-MIR-6794-3P98.7666.99894

Functional genomics

DepMap (CRISPR cell-line fitness): dependent in 11.3% of screened cell lines.

Literature-anchored findings (GeneRIF, showing 27)

  • Loss of metallothionein 1G function due to hypermethylation of its promoter leads to athogenesis of papillary thyroid carcinoma (PMID:12640681)
  • Induction of the hMT1G promoter by VEGF and heavy metals occurs through the utilization of different transcription factors. (PMID:15735762)
  • Eight MT genes were up-regulated after treatment of T-ALL cells with 0.15 and 1.5 microg/mL of metal ores. Heavy metal binding activity. (PMID:15747776)
  • MT1G is hypermethylated in renal cell carcinoma. (PMID:18639284)
  • Using a panel of four genes (AHRR, p16INK4a, MT1G, and CLDN3) resulted in sensitivity and specificity of 50% and 68%, respectively and may have utility for early detection of esophageal squamous dysplasia and early ESCC. (PMID:19137073)
  • Promoter methylation and differential gene expression of five markers: COL1A2, NPM2, HSPB6, DDIT4L and MT1G were validated by sequencing of bisulfite-modified DNA and real-time reverse transcriptase PCR, respectively. (PMID:19491193)
  • p16INK4A, DAPK1, PTEN and MT1G genes were not frequently methylated in the stage I non-small cell lung cancer in China. (PMID:19506903)
  • MT1G acts as a tumor suppressor gene in hepatocellular carcinoma (PMID:19639168)
  • Results describe MT1G promoter hypermethylation in hepatoblastoma and demonstrate that aberrant methylation is a frequent event in this malignancy. (PMID:20032811)
  • Increases in MT gene expression and intracellular zinc levels may contribute directly to maintenance of an immune-activated monocyte by mediating an increased resistance to apoptosis during active HIV-1 viremia. (PMID:20551211)
  • MT-1A, -1F, -1G, -1X and -2A isoforms are significantly down-regulated in proliferating keloid fibroblasts. (PMID:20812968)
  • GPR56, MT1G, and RASSF1 might be the potential methylation markers associated with acquired multidrug resistance of lung adenocarcinoma. (PMID:23902976)
  • Metallothionein 1G functions as a tumor suppressor in thyroid cancer through modulating the PI3K/Akt signaling pathway. (PMID:24098937)
  • Metallothionein 1G and zinc sensitize human colorectal cancer cells to chemotherapy. (PMID:24634414)
  • MT1G was down-regulated in renal cell carcinogenesis. (PMID:24662736)
  • MT1M and MT1G promoter methylation may be used as serum biomarkers for noninvasive detection of hepatocellular carcinoma. (PMID:24782625)
  • PU.1 suppressive target gene, metallothionein 1G, inhibits retinoic acid-induced NB4 cell differentiation (PMID:25072246)
  • These findings indicate that MT1 constitute a biomarker adapted for exploring the impact of sorafenib on the redox metabolism of cancer cells. (PMID:27184800)
  • A new tumor-suppressor activity of MT1G in colorectal cancer cells.MT1G role in cell differentiation. (PMID:28393194)
  • In clear cell renal cell carcinoma (RCC) MT1E, MT1G and MT1M expression was higher than that noted in other histological tumor subtypes (all P<0.0500). In addition, some associations were observed between metabolic syndromerelated clinical parameters and promoter methylation or gene expression (PMID:31002354)
  • Multivariate analysis indicated that RUNX3 and CDH1 promoter methylation were independent prognostic factors for overall survival (P = 0.03 and 0.04; respectively), while DAPK1, RUNX3 and MT1G PM were independent prognostic factors for disease free survival. (PMID:31093876)
  • The MT1G Gene in LUHMES Neurons Is a Sensitive Biomarker of Neurotoxicity. (PMID:32870474)
  • Metallothionein-1G suppresses pancreatic cancer cell stemness by limiting activin A secretion via NF-kappaB inhibition. (PMID:33537082)
  • Upregulation of Metallothionein-1G Accelerates G1/S Transition in the Growth Phase of Acute Promyelocytic Leukemia NB4 Cells. (PMID:33653779)
  • MT1G Regulates c-MYC/P53 Signal to Inhibit Proliferation, Invasion and Migration and Promote Apoptosis in Colon Cancer Cells. (PMID:36999424)
  • Bioinformatics analysis and validation of mesenchymal stem cells related gene MT1G in osteosarcoma. (PMID:38747739)
  • MT1G induces lipid droplet accumulation through modulation of H3K14 trimethylation accelerating clear cell renal cell carcinoma progression. (PMID:38906969)

Cross-species orthologs

1 orthologs

OrganismSymbolGene ID
danio_reriomt2ENSDARG00000041623

Paralogs (11): MT3 (ENSG00000087250), MT4 (ENSG00000102891), MT2A (ENSG00000125148), MT1B (ENSG00000169688), MT1E (ENSG00000169715), MT1X (ENSG00000187193), MT1F (ENSG00000198417), MT1H (ENSG00000205358), MT1A (ENSG00000205362), MT1M (ENSG00000205364), MT1HL1 (ENSG00000244020)

Protein

Protein identifiers

Metallothionein-1GP13640 (reviewed: P13640)

Alternative names: Metallothionein-1K, Metallothionein-IG

All UniProt accessions (2): P13640, H3BSF1

UniProt curated annotations — full annotation on UniProt →

Function. Metallothioneins have a high content of cysteine residues that bind various heavy metals; these proteins are transcriptionally regulated by both heavy metals and glucocorticoids.

Subunit / interactions. Monomer.

Domain organisation. Class I metallothioneins contain 2 metal-binding domains: four divalent ions are chelated within cluster A of the alpha domain and are coordinated via cysteinyl thiolate bridges to 11 cysteine ligands. Cluster B, the corresponding region within the beta domain, can ligate three divalent ions to 9 cysteines.

Similarity. Belongs to the metallothionein superfamily. Type 1 family.

Isoforms (2)

UniProt IDNamesCanonical?
P13640-11yes
P13640-22

RefSeq proteins (2): NP_001288196, NP_005941 (=MANE)

Domains & families (InterPro)

IDNameType
IPR000006Metalthion_vertFamily
IPR017854Metalthion_dom_sfHomologous_superfamily
IPR018064Metalthion_vert_metal_BSBinding_site
IPR023587Metalthion_dom_sf_vertHomologous_superfamily

Pfam: PF00131

UniProt features (34 total): binding site 28, region of interest 2, modified residue 2, chain 1, splice variant 1

Structure

Experimental structures (PDB)

0 structures.

Predicted structure (AlphaFold)

ModelpLDDTFraction very-high
AF-P13640-F178.990.00

Functional residue map

Curated UniProt residues grouped by drug-discovery relevance — catalytic, ligand-binding, modification, and mutation-validated positions. Source: UniProtKB sequence features.

Ligand- & substrate-binding residues (28): 22; 25; 25; 27; 30; 34; 35; 35; 37; 38; 38; 42

Post-translational modifications (2): 1, 59

Function

Pathways and Gene Ontology

Reactome pathways

3 pathways

IDPathway
R-HSA-5661231Metallothioneins bind metals
R-HSA-5660526Response to metal ions
R-HSA-8953897Cellular responses to stimuli

MSigDB gene sets: 186 (showing top): GOBP_MYELOID_CELL_DIFFERENTIATION, GOBP_RESPONSE_TO_ZINC_ION, MCLACHLAN_DENTAL_CARIES_UP, GOBP_CELLULAR_RESPONSE_TO_CADMIUM_ION, GOBP_GROWTH, MODULE_453, GOBP_RESPONSE_TO_COPPER_ION, GOBP_MYELOID_LEUKOCYTE_DIFFERENTIATION, HANN_RESISTANCE_TO_BCL2_INHIBITOR_UP, GOBP_RESPONSE_TO_METAL_ION, MODULE_66, BROWNE_HCMV_INFECTION_48HR_DN, MUELLER_PLURINET, GOBP_MYELOID_LEUKOCYTE_ACTIVATION, ACEVEDO_LIVER_TUMOR_VS_NORMAL_ADJACENT_TISSUE_DN

GO Biological Process (9): intracellular zinc ion homeostasis (GO:0006882), detoxification of copper ion (GO:0010273), monocyte differentiation (GO:0030224), cellular response to vascular endothelial growth factor stimulus (GO:0035924), monocyte activation (GO:0042117), negative regulation of growth (GO:0045926), cellular response to cadmium ion (GO:0071276), cellular response to copper ion (GO:0071280), cellular response to zinc ion (GO:0071294)

GO Molecular Function (3): zinc ion binding (GO:0008270), metal ion binding (GO:0046872), protein binding (GO:0005515)

GO Cellular Component (2): nucleus (GO:0005634), cytoplasm (GO:0005737)

Reactome top-level categories

Rollup of top-2 pathways:

CategoryPathways
Response to metal ions1
Cellular responses to stimuli1

GO top-level categories

Rollup of top GO terms by namespace:

CategoryTerms
cellular response to metal ion3
intracellular monoatomic cation homeostasis1
inorganic ion homeostasis1
detoxification of inorganic compound1
stress response to copper ion1
myeloid leukocyte differentiation1
mononuclear cell differentiation1
cellular response to growth factor stimulus1
myeloid leukocyte activation1
growth1
regulation of growth1
negative regulation of biological process1
response to cadmium ion1
response to copper ion1
response to zinc ion1
transition metal ion binding1
cation binding1
binding1
intracellular membrane-bounded organelle1
intracellular anatomical structure1
cellular anatomical structure1

Protein interactions and networks

STRING

667 interactions, top by confidence (×1000):

Protein AProtein BPartner UniProtScore
MT1GCISD1Q9NZ45507
MT1GGPX4P36969466
MT1GACSL4O60488446
MT1GSLC30A1Q9Y6M5427
MT1GNCOA4Q13772419
MT1GEMC2Q15006407
MT1GATP5MC3P48201399
MT1GMTF1Q14872398
MT1GCARS1P49589391
MT1GFTH1P02794389
MT1GMT1AP04731387
MT1GMT1FP04733381
MT1GLOXP28300379
MT1GSLC7A11Q9UPY5373
MT1GLPCAT3Q6P1A2371

IntAct

6 interactions, top by confidence:

ABTypeScore
MT1GSPINK7psi-mi:“MI:0915”(physical association)0.550
SPINK7MT1Gpsi-mi:“MI:0915”(physical association)0.550
MT1MPGPpsi-mi:“MI:0914”(association)0.350
MT1Gepdpsi-mi:“MI:0915”(physical association)0.000

BioGRID (10): MT1G (Two-hybrid), MT1G (Two-hybrid), MT1G (Affinity Capture-MS), MT1G (Affinity Capture-MS), TP53 (Affinity Capture-Western), MT1G (Affinity Capture-MS), MT1G (Proximity Label-MS), MT1G (Proximity Label-MS), MT1G (Affinity Capture-RNA), MT1G (Two-hybrid)

ESM2 similar proteins: A1L3X4, O18842, O42152, P02797, P02798, P02800, P02801, P02802, P02803, P02804, P04355, P04731, P04733, P07438, P09577, P09578, P0DM35, P11957, P13640, P14425, P15786, P17808, P18055, P25713, P27087, P37360, P55942, P55943, P55944, P58280, P67981, P67982, P67983, P68041, P68301, P68302, P68303, P68304, P79376, P79377

Diamond homologs: O18842, O19000, P02795, P02797, P02798, P02800, P02801, P02802, P02803, P02804, P04355, P04731, P04732, P04733, P07438, P09577, P09578, P0DM35, P11957, P13640, P14425, P17808, P18055, P47944, P47945, P49068, P55942, P55943, P58280, P67981, P67982, P67983, P68041, P68301, P68302, P68303, P68304, P79376, P79377, P79378

SIGNOR signaling

2 interactions.

AEffectBMechanism
E2F1“up-regulates quantity by expression”MT1G“transcriptional regulation”
NFE2L2“up-regulates quantity by expression”MT1G“transcriptional regulation”

Disease & clinical

Clinical variants and AI predictions

ClinVar

28 variants total. Per-class counts are floors (≥ shown; pagination cap):

ClassificationCount (floor)
Pathogenic0
Likely pathogenic0
Uncertain significance16
Likely benign2
Benign0

Top pathogenic / likely-pathogenic (0)

SpliceAI

451 predictions. Top by Δscore:

VariantEffectΔscore
16:56667310:A:ACdonor_gain1.0000
16:56667311:C:CCdonor_gain1.0000
16:56667311:CT:Cdonor_gain1.0000
16:56667311:CTCTT:Cdonor_gain1.0000
16:56667378:CTG:Cacceptor_gain1.0000
16:56666967:CAGC:Cacceptor_gain0.9900
16:56666971:C:CAacceptor_loss0.9900
16:56666971:C:CCacceptor_gain0.9900
16:56666972:T:Aacceptor_loss0.9900
16:56667288:T:TAdonor_gain0.9900
16:56667305:CACT:Cdonor_loss0.9900
16:56667307:CTCA:Cdonor_gain0.9900
16:56667309:CACTC:Cdonor_loss0.9900
16:56667310:ACT:Adonor_gain0.9900
16:56667311:CTC:Cdonor_gain0.9900
16:56667376:ACCTG:Aacceptor_gain0.9900
16:56667377:CCTGC:Cacceptor_gain0.9900
16:56667379:TG:Tacceptor_gain0.9900
16:56667381:C:CCacceptor_gain0.9900
16:56667965:CCAG:Cdonor_gain0.9900
16:56666966:GCAGC:Gacceptor_gain0.9800
16:56666967:CAGCC:Cacceptor_gain0.9800
16:56666968:AGC:Aacceptor_gain0.9800
16:56666969:GC:Gacceptor_gain0.9800
16:56666970:CC:Cacceptor_gain0.9800
16:56667306:A:ACdonor_gain0.9800
16:56667306:ACTC:Adonor_loss0.9800
16:56667307:C:CCdonor_gain0.9800
16:56667311:CTCT:Cdonor_gain0.9800
16:56667315:T:TAdonor_gain0.9800

AlphaMissense

407 scored. Top likely-pathogenic:

VariantProtein changeam_pathogenicity
16:56666954:G:CC38W0.898
16:56666956:A:GC38R0.889
16:56666959:A:GC37R0.875
16:56666923:A:GC49R0.862
16:56666957:G:CC37W0.860
16:56666922:C:GC49S0.854
16:56666923:A:TC49S0.854
16:56666933:A:CC45W0.848
16:56666963:G:CC35W0.848
16:56667363:A:GC16R0.847
16:56666934:C:GC45S0.846
16:56666935:A:TC45S0.846
16:56666955:C:GC38S0.842
16:56666956:A:TC38S0.842
16:56666965:A:GC35R0.841
16:56666916:C:GC51S0.840
16:56666917:A:TC51S0.840
16:56666894:G:CC58W0.833
16:56667361:G:CC16W0.831
16:56666915:G:CC51W0.830
16:56666917:A:GC51R0.830
16:56667330:A:GC27R0.830
16:56666921:G:CC49W0.828
16:56666942:A:CC42W0.826
16:56667369:A:GC14R0.822
16:56666888:G:CC60W0.820
16:56666966:G:CC34W0.819
16:56667351:A:GC20R0.811
16:56666896:A:GC58R0.810
16:56666944:A:GC42R0.810

dbSNP variants (sampled 300 via entrez): RS1000057034 (16:56666979 G>A,C), RS1000231292 (16:56669234 G>A), RS1000260807 (16:56669429 T>C), RS1001898498 (16:56666669 A>G), RS1004767919 (16:56668896 T>C), RS1005246617 (16:56669162 C>A), RS1006904373 (16:56667036 G>A,T), RS1008615050 (16:56668398 C>T), RS1009000255 (16:56668151 T>A), RS1010256784 (16:56669462 G>C,T), RS1010702399 (16:56669639 C>T), RS1012046332 (16:56669216 T>C), RS1014776285 (16:56668949 A>G), RS1015474649 (16:56669709 C>A,T), RS1017722935 (16:56668409 C>A)

Disease associations

OMIM: gene MIM:156353 | disease phenotypes:

GenCC curated gene-disease

Mondo (0):

Orphanet (0):

HPO phenotypes

0 total (0 of 0 shown, HPO-id order):

GWAS associations

1 associations (top):

StudyTraitp-value
GCST001601_1Gambling3.000000e-06

EFO canonical traits (1, from GWAS)

EFO IDTrait name
EFO:0004699gambling behaviour

Drugs & pharmacology

Drug and pharmacology data

Is drug target: no

PharmGKB: 1 entry (VIP=true, CPIC=false)

CTD chemical–gene interactions

130 total (human), top 30 by PubMed support.

ChemicalActions (top 5)PubMed papers
Cadmiumincreases expression, increases abundance, affects cotreatment, decreases reaction17
Cadmium Chlorideincreases abundance, affects cotreatment, decreases reaction, increases expression, decreases expression11
sodium arseniteaffects cotreatment, decreases reaction, increases expression, increases abundance10
Valproic Acidaffects cotreatment, increases expression, affects expression8
Zincaffects cotreatment, increases expression7
Arsenic Trioxideaffects binding, decreases reaction, increases expression6
Benzo(a)pyreneincreases methylation, affects methylation, decreases expression, increases expression5
Copperincreases expression, affects binding, decreases expression5
Zinc Sulfateincreases expression, increases reaction5
Estradioldecreases expression, increases expression, affects cotreatment4
Tobacco Smoke Pollutionincreases expression, affects expression4
Aflatoxin B1affects expression, decreases expression, decreases methylation, increases expression4
Nickelincreases expression3
Rotenonedecreases expression, increases expression3
Silverincreases expression3
Cyclosporinedecreases expression, increases expression3
Copper Sulfatedecreases expression, increases expression3
methylmercuric chlorideincreases expression2
zinc chlorideincreases expression2
cupric chlorideincreases expression, increases reaction2
mercuric bromideincreases expression, affects cotreatment2
entinostatincreases expression2
motexafin gadoliniumincreases expression, increases reaction2
(+)-JQ1 compoundaffects cotreatment, affects expression, decreases expression2
Acetaminophenincreases expression2
Acetylcysteineaffects cotreatment, decreases reaction, increases expression2
Air Pollutantsincreases abundance, increases expression2
Amiodaroneincreases expression2
Arsenicaffects cotreatment, increases abundance, increases expression2
Disulfiramincreases expression, increases reaction, affects binding, decreases expression2

Clinical trials (associated diseases)

0 trials via MONDO — disease-level, not drug-specific.

No linked Atlas pages yet — the cross-entity mesh grows as the corpus expands.