HuG1-NHomo sapiens (Human)Cancer cell line

Also known as: HUG1N, HuG-1N, HuG-N

🤖 AI SummaryBased on 4 publications

Quick Overview

HuG1-N is a human cancer cell line used in research for its genetic and molecular characteristics.

Detailed Summary

HuG1-N is a human cancer cell line derived from a tumor, though the specific tissue and disease origin remain unspecified. It is utilized in studies focusing on genetic mutations, protein expression, and molecular mechanisms in cancer. Research involving HuG1-N has explored its p53 and p16 gene status, including mutations and methylation patterns, which are critical in understanding cancer progression and therapeutic responses. The cell line is part of broader studies on cancer cell line diversity and has been used in investigations related to drug sensitivity and genetic dependencies. However, detailed information on its tissue of origin, disease type, and specific cell type is currently unknown, highlighting the need for further characterization.

Research Applications

Genetic mutation analysisProtein expression studiesCancer progression researchDrug sensitivity profilingMolecular mechanism investigations

Key Characteristics

p53 gene mutationsp16 gene methylationPotential for drug response studies
Generated on 6/21/2025

Basic Information

Database IDCVCL_4846
SpeciesHomo sapiens (Human)
Tissue SourceAscites[UBERON:UBERON_0007795]

Donor Information

Age55
Age CategoryAdult
SexMale
Raceasian

Disease Information

DiseaseGastric tubular adenocarcinoma
LineageEsophagus/Stomach
SubtypeTubular Stomach Adenocarcinoma
OncoTree CodeTSTAD

DepMap Information

Source TypeRIKEN
Source IDACH-000239_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.His193Pro (c.578A>C)Unspecified-PubMed=15901131

Haplotype Information (STR Profile)

Short Tandem Repeat (STR) profile for cell line authentication.

Amelogenin
X
CSF1PO
10,11
D13S317
11
D16S539
9,10
D5S818
10
D7S820
10
TH01
7
TPOX
8,11
vWA
16
Gene Expression Profile
Gene expression levels and statistical distribution
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Full DepMap dataset with combined data across cell lines

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Publications

Quantitative proteomics of the Cancer Cell Line Encyclopedia.";

Sellers W.R., Gygi S.P.

Cell 180:387-402.e16(2020).

Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types.

van 't Veer L.J., Butte A.J., Goldstein T., Sirota M.

Nat. Commun. 10:3574.1-3574.11(2019).

Next-generation characterization of the Cancer Cell Line Encyclopedia.

Sellers W.R.

Nature 569:503-508(2019).

An interactive resource to probe genetic diversity and estimated ancestry in cancer cell lines.

Dutil J., Chen Z.-H., Monteiro A.N.A., Teer J.K., Eschrich S.A.

Cancer Res. 79:1263-1273(2019).

Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.

Golub T.R., Root D.E., Hahn W.C.

Sci. Data 1:140035-140035(2014).

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Morrissey M.P., Sellers W.R., Schlegel R., Garraway L.A.

Nature 483:603-607(2012).

Correlation between DNA alterations and p53 and p16 protein expression in cancer cell lines.

Murai Y., Hayashi S., Takahashi H., Tsuneyama K., Takano Y.

Pathol. Res. Pract. 201:109-115(2005).