KMS-34Homo sapiens (Human)Cancer cell line
Also known as: Kawasaki Medical School-34, KMS34
Quick Overview
Human multiple myeloma cell line with B cell origin, used in cancer research.
Detailed Summary
Research Applications
Key Characteristics
Basic Information
| Database ID | CVCL_2996 |
|---|---|
| Species | Homo sapiens (Human) |
| Tissue Source | Pleural effusion[UBERON:UBERON_0000175] |
Donor Information
| Age | 60 |
|---|---|
| Age Category | Adult |
| Sex | Female |
| Race | asian |
Disease Information
| Disease | Multiple myeloma |
|---|---|
| Lineage | Lymphoid |
| Subtype | Plasma Cell Myeloma |
| OncoTree Code | PCM |
DepMap Information
| Source Type | HSRRB |
|---|---|
| Source ID | ACH-000541_source |
Known Sequence Variations
| Type | Gene/Protein | Description | Zygosity | Note | Source |
|---|---|---|---|---|---|
| MutationSimple | TP53 | p.Trp146Ter (c.438G>A) | Unspecified | - | CelloPub=CLPUB00546 |
Haplotype Information (STR Profile)
Short Tandem Repeat (STR) profile for cell line authentication.
Loading gene expression data...
Publications
Evaluating the efficacy of multiple myeloma cell lines as models for patient tumors via transcriptomic correlation analysis.
Sirota M., Wiita A.P.
Leukemia 34:2754-2765(2020).
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).
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).
Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.
Golub T.R., Root D.E., Hahn W.C.
Sci. Data 1:140035-140035(2014).
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).
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).
Integrative high-resolution microarray analysis of human myeloma cell lines reveals deregulated miRNA expression associated with allelic imbalances and gene expression profiles.
Todoerti K., Ronchetti D., Lambertenghi-Deliliers G., Neri A.
Genes Chromosomes Cancer 48:521-531(2009).
An integrative genomic approach reveals coordinated expression of intronic miR-335, miR-342, and miR-561 with deregulated host genes in multiple myeloma.
Fabris S., Lambertenghi-Deliliers G., Neri A.
BMC Med. Genomics 1:37.1-37.9(2008).
Characterization of MYC translocations in multiple myeloma cell lines.
Dib A., Gabrea A., Glebov O.K., Bergsagel P.L., Kuehl W.M.
J. Natl. Cancer Inst. Monogr. 39:25-31(2008).
Promiscuous mutations activate the noncanonical NF-kappaB pathway in multiple myeloma.
Stewart A.K., Carpten J.D., Bergsagel P.L.
Cancer Cell 12:131-144(2007).
Molecular characterization of human multiple myeloma cell lines by integrative genomics: insights into the biology of the disease.
Lambertenghi-Deliliers G., Bertoni F., Neri A.
Genes Chromosomes Cancer 46:226-238(2007).