SiMaHomo sapiens (Human)Cancer cell line

Also known as: SIMA

🤖 AI SummaryBased on 7 publications

Quick Overview

Human neuroblastoma cell line with high adrenergic differentiation and poor prognosis markers.

Detailed Summary

The SiMa cell line is a human neuroblastoma cell line derived from an adrenal tumor of a 20-month-old boy. It exhibits poor prognosis markers such as amplification of N-MYC, chromosomal abnormalities, and loss of chromosome 11. Despite these markers, SiMa shows high adrenergic differentiation with elevated levels of catecholamines like DOPA, noradrenaline, HVA, and VMA. This unique combination of poor prognosis features and high differentiation makes SiMa a valuable model for studying neuroblastoma pathology and therapy. The cell line is also used in developing cell-based potency assays for botulinum neurotoxin A, demonstrating its utility in both basic research and drug development.

Research Applications

Cancer researchDrug developmentNeurotoxin potency assays

Key Characteristics

Poor prognosis markers (N-MYC amplification, chromosomal abnormalities)High adrenergic differentiationUsed in botulinum neurotoxin A potency assays

Generated on 6/17/2025

Basic Information

Database ID	CVCL_1695
Species	Homo sapiens (Human)
Tissue Source	Adrenal gland[UBERON:UBERON_0002369]

Donor Information

Age	1
Age Category	Pediatric
Sex	Male
Race	caucasian

Disease Information

Disease	Neuroblastoma
Lineage	Peripheral Nervous System
Subtype	Neuroblastoma
OncoTree Code	NBL

DepMap Information

Source Type	DSMZ
Source ID	ACH-000099_source

Haplotype Information (STR Profile)

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

Amelogenin

X,Y

CSF1PO

10,12

D13S317

D16S539

12,13

D18S51

14,16

D19S433

13,14

D21S11

D2S1338

19,21

D3S1358

D5S818

D7S820

D8S1179

13,14

FGA

20,22

Penta D

Penta E

11,12

TH01

9,9.3

TPOX

vWA

15,17

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

Pan-cancer proteomic map of 949 human cell lines.";

Robinson P.J., Zhong Q., Garnett M.J., Reddel R.R.

Cancer Cell 40:835-849.e8(2022).

DOI PubMed PMC

Next-generation characterization of the Cancer Cell Line Encyclopedia.

Sellers W.R.

Nature 569:503-508(2019).

DOI PubMed PMC

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).

DOI PubMed PMC

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).

DOI PubMed PMC

A landscape of pharmacogenomic interactions in cancer.";

Wessels L.F.A., Saez-Rodriguez J., McDermott U., Garnett M.J.

Cell 166:740-754(2016).

DOI PubMed PMC

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).

DOI PubMed PMC

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

Neve R.M.

Nature 520:307-311(2015).

DOI PubMed

Botulinum neurotoxin serotype A specific cell-based potency assay to replace the mouse bioassay.

Aoki K.R.

PLoS ONE 7:E49516-E49516(2012).

DOI PubMed PMC

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).

DOI PubMed PMC

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).

DOI PubMed PMC

Immunocytochemical analysis of cell lines derived from solid tumors.

Quentmeier H., Osborn M., Reinhardt J., Zaborski M., Drexler H.G.

J. Histochem. Cytochem. 49:1369-1378(2001).

DOI PubMed

SiMa, a new neuroblastoma cell line combining poor prognostic cytogenetic markers with high adrenergic differentiation.

Wolburg H., Schweizer P., Girgert R.

Cancer Genet. Cytogenet. 112:161-164(1999).

DOI PubMed