KMS-27Homo sapiens (Human)Cancer cell line
Also known as: Kawasaki Medical School-27, KMS27
Quick Overview
Human multiple myeloma cell line with known genetic alterations and drug resistance profiles.
Detailed Summary
Research Applications
Key Characteristics
Basic Information
| Database ID | CVCL_2993 |
|---|---|
| Species | Homo sapiens (Human) |
| Tissue Source | Peripheral blood[UBERON:UBERON_0000178] |
Donor Information
| Age | 52 |
|---|---|
| Age Category | Adult |
| Sex | Male |
| Race | asian |
Disease Information
| Disease | Multiple myeloma |
|---|---|
| Lineage | Lymphoid |
| Subtype | Plasma Cell Myeloma |
| OncoTree Code | PCM |
DepMap Information
| Source Type | HSRRB |
|---|---|
| Source ID | ACH-000576_source |
Haplotype Information (STR Profile)
Short Tandem Repeat (STR) profile for cell line authentication.
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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).
Quantitative proteomics of the Cancer Cell Line Encyclopedia.";
Sellers W.R., Gygi S.P.
Cell 180:387-402.e16(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).
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).
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).
Expression of protein gene product 9.5 (PGP9.5)/ubiquitin-C-terminal hydrolase 1 (UCHL-1) in human myeloma cells.
Murakami H., Sadahira Y., Sugihara T.
Br. J. Haematol. 127:292-298(2004).