JHUEM-1Homo sapiens (Human)Cancer cell line

Also known as: JHUEM1

🤖 AI SummaryBased on 2 publications

Quick Overview

Human cell line with unknown tissue and disease origins.

Detailed Summary

JHUEM-1 is a human cell line with no available information on its tissue of origin, disease association, or specific cell type. The lack of detailed characterization limits its immediate applicability in research. However, its inclusion in large-scale genomic and pharmacological studies, such as the Cancer Cell Line Encyclopedia (CCLE), suggests potential for future investigations into genetic and drug response profiles. Further research is needed to determine its biological properties and relevance to cancer studies.

Research Applications

Genomic and pharmacological profilingDrug sensitivity and resistance studies

Key Characteristics

Part of the Cancer Cell Line Encyclopedia (CCLE)Potential for predictive modeling of anticancer drug sensitivity
Generated on 6/21/2025

Basic Information

Database IDCVCL_4655
SpeciesHomo sapiens (Human)
Tissue SourceEndometrium[UBERON:UBERON_0001295]

Donor Information

Age56
Age CategoryAdult
SexFemale
Raceasian

Disease Information

DiseaseEndometrial adenocarcinoma
LineageUterus
SubtypeEndometrial Carcinoma
OncoTree CodeUCEC

DepMap Information

Source TypeRIKEN
Source IDACH-000928_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimplePTENp.Arg233Ter (c.697C>T)Heterozygous-PubMed=28683746, PubMed=24042735
MutationSimplePIK3CAp.Glu542Lys (c.1624G>A)Unspecified-PubMed=31541927

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
10,14
D13S317
8
D16S539
9,10
D5S818
11,12
D7S820
12,13
TH01
6
TPOX
7,8
vWA
17,18,19
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

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).

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).