JHH-5Homo sapiens (Human)Cancer cell line

Also known as: Functional Liver Cell-5, FLC5, FLC-5, JHH5, Jhh-5

🤖 AI SummaryBased on 9 publications

Quick Overview

Human hepatocellular carcinoma cell line with known p53 mutations and invasive properties.

Detailed Summary

JHH-5 is a human hepatocellular carcinoma (HCC) cell line derived from liver tissue. It is characterized by the presence of p53 gene mutations, which are frequently associated with cancer progression and poor prognosis. The cell line exhibits invasive properties, as demonstrated by its ability to invade reconstituted extracellular matrix in vitro. JHH-5 has been used in studies investigating the role of matrix metalloproteinases (MMPs) and the hepatocyte growth factor (HGF) in tumor invasion and metastasis. Research on JHH-5 has contributed to understanding the molecular mechanisms underlying HCC aggressiveness and has been utilized in drug sensitivity profiling and cancer biology studies.

Research Applications

Cancer biologyDrug sensitivity profilingInvasion and metastasis studiesMolecular mechanisms of HCC

Key Characteristics

p53 gene mutationsInvasive propertiesExpression of MT1-MMP and u-PAResponse to HGF
Generated on 6/15/2025

Basic Information

Database IDCVCL_0364
SpeciesHomo sapiens (Human)
Tissue SourceLiver[UBERON:UBERON_0002107]

Donor Information

Age50
Age CategoryAdult
SexMale
Raceasian

Disease Information

DiseaseAdult hepatocellular carcinoma
LineageLiver
SubtypeHepatocellular Carcinoma
OncoTree CodeHCC

DepMap Information

Source TypeHSRRB
Source IDACH-000734_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.Pro190_His193del (c.569_580del12)Unspecified-from parent cell line JHH-5
MutationSimpleTERTc.1-124C>T (c.228C>T) (C228T)UnspecifiedIn promoterfrom parent cell line Hep-G2
MutationSimpleAXIN1p.Gln6Argfs*22 (c.17_18delAG)Unspecified-from parent cell line JHH-5

Haplotype Information (STR Profile)

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

Amelogenin
X,Y
CSF1PO
9
D13S317
9
D16S539
9,10
D18S51
13
D21S11
31.2
D3S1358
15,17
D5S818
13
D7S820
10,12
D8S1179
12
FGA
19
Penta D
11
Penta E
17,20
TH01
9
TPOX
11
vWA
17,19
Gene Expression Profile
Gene expression levels and statistical distribution
Loading cohorts...
Full DepMap dataset with combined data across cell lines

Loading gene expression data...

Publications

Sequential genome-wide CRISPR-Cas9 screens identify genes regulating cell-surface expression of tetraspanins.

Hong W.-J., Fu N.-Y.

Cell Rep. 42:112065.1-112065.26(2023).

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).

A pharmacogenomic landscape in human liver cancers.";

Hui L.-J.

Cancer Cell 36:179-193.e11(2019).

Next-generation characterization of the Cancer Cell Line Encyclopedia.

Sellers W.R.

Nature 569:503-508(2019).

Analysis of liver cancer cell lines identifies agents with likely efficacy against hepatocellular carcinoma and markers of response.

Couchy G., Calderaro J., Nault J.-C., Zucman-Rossi J., Rebouissou S.

Gastroenterology 157:760-776(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).

TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression.

Loewer M., Sahin U., Castle J.C.

Genome Med. 7:118.1-118.7(2015).

A resource for cell line authentication, annotation and quality control.

Neve R.M.

Nature 520:307-311(2015).

A comprehensive transcriptional portrait of human cancer cell lines.

Settleman J., Seshagiri S., Zhang Z.-M.

Nat. Biotechnol. 33:306-312(2015).

Genomic landscape of copy number aberrations enables the identification of oncogenic drivers in hepatocellular carcinoma.

Xu J.-C.

Hepatology 58:706-717(2013).

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).

A comprehensive gene expression analysis of human hepatocellular carcinoma cell lines as components of a bioartificial liver using a radial flow bioreactor.

Kosuge M., Takizawa H., Maehashi H., Matsuura T., Matsufuji S.

Liver Int. 27:101-108(2007).

Invasiveness of hepatocellular carcinoma cell lines: contribution of membrane-type 1 matrix metalloproteinase.

Nagamori S., Yamada Y., Saiki I.

Neoplasia 1:424-430(1999).

Yeast functional assay of the p53 gene status in 11 cell lines and 26 surgical specimens of human hepatocellular carcinoma.

Gao C., Ohashi R., Pu H., Inoue Y., Tsuji T., Miyazaki M., Namba M.

Oncol. Rep. 6:1267-1271(1999).

Yeast functional assay of the p53 gene status in human cell lines maintained in our laboratory.

Fukaya K.-i., Ishioka C., Namba M.

Acta Med. Okayama 51:261-265(1997).

Persistence of hepatitis C virus RNA in established human hepatocellular carcinoma cell lines.

Kosaka T., Tsuji T., Namba M.

J. Med. Virol. 48:133-140(1996).

Integration of hepatitis B virus DNA into cells of six established human hepatocellular carcinoma cell lines.

Shimizu K., Niiya M., Kameda H., Fujita K., Ohno T.

Hepato-Gastroenterol. 37:457-460(1990).

The p53 gene status and other cellular characteristics of human cell lines maintained in our laboratory.

Ohashi R., Namba M.

Tissue Cult. Res. Commun. 16:173-178(1997).

Web Resources