LXF 289Homo sapiens (Human)Cancer cell line

Also known as: LXF 289L, LXF-289, LXF289, LX-289 (Occasionally.)

🤖 AI SummaryBased on 6 publications

Quick Overview

Human cancer cell line for research on cancer biology and drug sensitivity.

Detailed Summary

LXF 289 is a human cancer cell line derived from an unspecified tissue and disease. It is used in cancer research to study molecular mechanisms and drug responses. The cell line is part of large-scale genomic and transcriptomic studies, contributing to the understanding of cancer genetics and therapeutic strategies. Research on LXF 289 focuses on identifying genetic mutations, gene expression patterns, and potential targets for cancer treatment.

Research Applications

Cancer biology researchDrug sensitivity profilingGenomic and transcriptomic analysis

Key Characteristics

Part of large-scale cancer studiesUsed for identifying genetic mutationsContributes to understanding cancer genetics

Generated on 6/16/2025

Basic Information

Database ID	CVCL_1394
Species	Homo sapiens (Human)
Tissue Source	Lung[UBERON:UBERON_0002048]

Donor Information

Age	62
Age Category	Adult
Sex	Male

Disease Information

Disease	Lung adenocarcinoma
Lineage	Lung
Subtype	Lung Adenocarcinoma
OncoTree Code	LUAD

DepMap Information

Source Type	DSMZ
Source ID	ACH-000787_source

Known Sequence Variations

Type	Gene/Protein	Description	Zygosity	Note	Source
MutationSimple	TP53	p.Arg248Trp (c.742C>T)	Homozygous	Somatic mutation acquired during proliferation	from parent cell line VCaP

Haplotype Information (STR Profile)

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

Amelogenin

X,Y

CSF1PO

12,13

D13S317

9,11

D16S539

D18S51

D19S433

D21S11

30,31

D2S1338

19,20

D3S1358

15,18

D5S818

9,10

D7S820

10,11

D8S1179

FGA

24,25

Penta D

10,13

Penta E

10,20

TH01

6,9.3

TPOX

vWA

17,18

Gene Expression Profile

Gene expression levels and statistical distribution

Loading cohorts...

Full DepMap dataset with combined data across cell lines

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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

Quantitative proteomics of the Cancer Cell Line Encyclopedia.";

Sellers W.R., Gygi S.P.

Cell 180:387-402.e16(2020).

DOI PubMed PMC

Next-generation characterization of the Cancer Cell Line Encyclopedia.

Sellers W.R.

Nature 569:503-508(2019).

DOI PubMed PMC

Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens.

Stronach E.A., Saez-Rodriguez J., Yusa K., Garnett M.J.

Nature 568:511-516(2019).

DOI PubMed

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

A comprehensive transcriptional portrait of human cancer cell lines.

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

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

DOI PubMed

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