BL-70Homo sapiens (Human)Cancer cell line

Also known as: IARC BL 70, IARC BL70, IARC-BL70, IARC/BL 70, IARC/BL70, BL 70, BL70

🤖 AI SummaryBased on 9 publications

Quick Overview

BL-70 is a human Burkitt lymphoma cell line used in cancer research.

Detailed Summary

BL-70 is a human Burkitt lymphoma cell line derived from a B-cell lineage. It is widely used in studies related to Epstein-Barr virus (EBV) interactions, B-cell activation markers, and cancer immunology. The cell line has been characterized for its response to EBV infection, with specific attention to the expression of surface markers such as CR2, CD23, and Bac-1. Research involving BL-70 has contributed to understanding the mechanisms of B-cell immortalization and the role of viral genes in lymphomagenesis. Additionally, BL-70 has been utilized in studies examining the effects of genetic mutations on cell proliferation and drug sensitivity.

Research Applications

Epstein-Barr virus (EBV) interaction studiesB-cell activation marker analysisCancer immunology researchLymphomagenesis studiesDrug sensitivity profiling

Key Characteristics

Expresses B-cell activation markers such as CR2, CD23, and Bac-1Used in EBV-related researchRelevant for studying B-cell immortalization mechanismsUtilized in cancer drug sensitivity studies
Generated on 6/16/2025

Basic Information

Database IDCVCL_1088
SpeciesHomo sapiens (Human)

Donor Information

Age16
Age CategoryPediatric
SexMale
Racecaucasian

Disease Information

DiseaseBurkitt lymphoma
LineageLymphoid
SubtypeBurkitt Lymphoma
OncoTree CodeBL

DepMap Information

Source TypeDSMZ
Source IDACH-000402_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.Arg273Cys (c.817C>T)Homozygous-PubMed=35933914

Haplotype Information (STR Profile)

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

Amelogenin
X,Y
CSF1PO
11
D13S317
8,11
D16S539
10,11
D18S51
13,16
D19S433
16
D21S11
30,34.2
D2S1338
21,23
D3S1358
16,18
D5S818
11,12
D7S820
8,10
D8S1179
10,14
FGA
21,24
Penta D
11
Penta E
14,15
TH01
7,9.3
TPOX
8,11
vWA
15,17
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).

Screening human cell lines for viral infections applying RNA-Seq data analysis.

Uphoff C.C., Pommerenke C., Denkmann S.A., Drexler H.G.

PLoS ONE 14:E0210404-E0210404(2019).

Profiling the B/T cell receptor repertoire of lymphocyte derived cell lines.

Yang H.H., Koeffler H.P.

BMC Cancer 18:940.1-940.13(2018).

Characterization of human cancer cell lines by reverse-phase protein arrays.

Liang H.

Cancer Cell 31:225-239(2017).

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 catalog of HLA type, HLA expression, and neo-epitope candidates in human cancer cell lines.

Boegel S., Lower M., Bukur T., Sahin U., Castle J.C.

OncoImmunology 3:e954893.1-e954893.12(2014).

High-throughput RNA sequencing-based virome analysis of 50 lymphoma cell lines from the Cancer Cell Line Encyclopedia project.

O'Grady T., Baddoo M., Fewell C., Renne R., Flemington E.K.

J. Virol. 89:713-729(2015).

Comprehensive cytogenetic and molecular cytogenetic analysis of 44 Burkitt lymphoma cell lines: secondary chromosomal changes characterization, karyotypic evolution, and comparison with primary samples.

Vettorazzi E., Bokemeyer C., Dierlamm J.

Genes Chromosomes Cancer 53:497-515(2014).

Burkitt lymphoma pathogenesis and therapeutic targets from structural and functional genomics.

Waldmann T.A., Rowe M., Mbulaiteye S.M., Rickinson A.B., Staudt L.M.

Nature 490:116-120(2012).

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).

Signatures of mutation and selection in the cancer genome.";

Deloukas P., Yang F.-T., Campbell P.J., Futreal P.A., Stratton M.R.

Nature 463:893-898(2010).

Distinct reactivity of Burkitt's lymphoma cell lines with eight monoclonal antibodies correlated with the ethnic origin.

Lenoir G.M.

J. Natl. Cancer Inst. 73:841-847(1984).

The use of lymphomatous and lymphoblastoid cell lines in the study of Burkitt's lymphoma.

Lenoir G.M., Vuillaume M., Bonnardel C.

IARC Sci. Publ. 60:309-318(1985).

Immunophenotypic classification of 28 Burkitt cell lines with monoclonal antibodies and reagent selection for bone-marrow purging.

Dore J.-F., Lenoir G.M.

IARC Sci. Publ. 60:447-452(1985).

Epstein-Barr virus (EBV) induces expression of B-cell activation markers on in vitro infection of EBV-negative B-lymphoma cells.

Lenoir G.M.

Proc. Natl. Acad. Sci. U.S.A. 84:8060-8064(1987).

Web Resources