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LoVo Cell Line human

NOTE: Both the cell line and DNA from the cell line may be available for this product. Please choose -1VL or VIAL for cells, or -DNA-5UG for DNA, 87060101, human colon (supraclavicular lymph node metastasis), Epithelial

别名:

LoVo Cells

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关于此项目

UNSPSC Code:
41106514
Biological source:
human colon (supraclavicular lymph node metastasis)
Relevant disease(s):
metastasis
Growth mode:
Adherent
Karyotype:
Modal no. 49, (2n=46)
Morphology:
Epithelial

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biological source

human colon (supraclavicular lymph node metastasis)

packaging

tube of 5 μg 87060101-DNA-5UG, pkg of vial of cells 87060101-1VL

growth mode

Adherent

karyotype

Modal no. 49, (2n=46)

morphology

Epithelial

products

Carcinoembryonic antigen (CEA)

receptors

Not specified

technique(s)

cell culture | mammalian: suitable

relevant disease(s)

metastasis

shipped in

dry ice

storage temp.

−196°C

相关类别

Application

Human LoVo cell line is part of the three-dimensional (3D) heterotypic spheroid model developed to assess cancer immunotherapy agents in vitro. It has been used to test the in vitro cytotoxic property and anti-proliferative property of C. lechleri stem bark essential oil.
Tumourigenicity studies

Biochem/physiol Actions

Derived from a metastatic tumour in the left supraclavicular region of a 56 year old male with adenocarcinoma of the colon. The cells produce carcino embryonic antigen (CEA).
Human colon adenocarcinoma
STR-PCR Data: Amelogenin: X,Y
CSF1PO: 11,13,14
D13S317: 8,11
D16S539: 9,12
D5S818: 11,13
D7S820: 10,11
THO1: 9.3
TPOX: 8,9
vWA: 17,18

Preparation Note

Ham′s F12 + 2mM Glutamine + 10% Foetal Bovine Serum (FBS).
Split sub-confluent cultures (70-80%) 1:3 to 1:10 i.e. seeding at 1-3x10,000 cells/cm2 using 0.25% trypsin/EDTA; 5% CO2; 37°C.

Other Notes

Additional freight & handling charges may be applicable for Asia-Pacific shipments. Please check with your local Customer Service representative for more information.

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DNA, RNA, cDNA derived from ECACC mammalian cell lines allow screening for genes or expression patterns to identify lines most suitable for specific research.

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