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KMS-11人骨髓瘤细胞(STR鉴定)
英文名:KMS-11
货号:ZQ0840
价格:¥1300.00
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推荐组合

KMS-11人骨髓瘤细胞(STR鉴定)

¥1300.00
+

KMS-11人骨髓瘤细胞专用培养基

¥350.00 ¥450.00

配套完培,省时省力,单买细胞无优惠

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细胞套餐惊爆价

¥1650 ¥2950.00
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  • 产品说明
  • 产品规格
  • 参考文献
  • STR鉴定

产品名称

KMS-11人骨髓瘤细胞

货号

ZQ0840

产品介绍

 KMS-11是一种人多发性骨髓瘤克隆细胞系,源自一名67岁患有骨髓瘤的女性的胸腔积液。在癌症研究中有着广泛的应用,包括药物筛选、病理机制研究和基因功能分析。它们是理解骨髓瘤发展和寻找新治疗方法的重要工具。

种属

性别/年龄

/67岁

组织

胸腔积液

疾病

多发性骨髓瘤

细胞类型

肿瘤细胞

形态学

淋巴样细胞

生长方式

半贴半悬

倍增时间

大约36 hours (PubMed=2519219); 70 hours (PubMed=25984343); 50 hours (Note=Lot 03062008), ~2 days (Note=Lot 10142009), ~31 hours (Note=Lot 10072016), ~39 hours (Note=Lot 10222021) (JCRB=JCRB1179)

培养基和添加剂

RPMI-1640(品牌:中乔新舟 货号:ZQ-200+10%胎牛血清(中乔新舟 货号:ZQ0500+1%P/S(中乔新舟  货号:CSP006

推荐完全培养基货号

ZM0840

生物安全等级

BSL-1

培养条件

95%空气,5%二氧化碳;37℃

STR位点信息

Amelogenin: X

CSF1PO: 13

D3S1358 15

D5S818 10,12

D7S820 11,12

D8S1179 13

D13S317 12

D16S539 9,13

D18S51 13,14

D21S11 28,30

FGA 22,24

Penta D 11,12

Penta E 15,16

TH01 6,9

TPOX 12

vWA 17,18

抗原表达/受体表达

*** 

基因表达

*** 

保藏机构

JCRB; JCRB1179

供应限制

仅供科研使用


货号

ZQ0840

发货规格

活细胞:T25培养瓶*1瓶或者1ml 冻存管*1支(细胞量约为5 x 10^5 cells/vial)二选一

发货形式

活细胞:常温运输;冻存管:干冰运输

储存温度

活细胞:培养箱;冻存管:液氮罐

产地

中国

供应限制

仅供科研使用

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Establishment of five human myeloma cell lines.
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Multiple myeloma cell lines.
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PubMed=10936422; DOI=10.1016/S0145-2126(99)00195-2
Drexler H.G., Matsuo Y.
Malignant hematopoietic cell lines: in vitro models for the study of multiple myeloma and plasma cell leukemia.
Leuk. Res. 24:681-703(2000)


DOI=10.1016/B978-0-12-221970-2.50457-5
Drexler H.G.
The leukemia-lymphoma cell line factsbook.
(In) ISBN 9780122219702; pp.1-733; Academic Press; London (2001)


PubMed=11157491; DOI=10.1182/blood.V97.3.729
Chesi M., Brents L.A., Ely S.A., Bais C., Robbiani D.F., Mesri E.A., Kuehl W.M., Bergsagel P.L.
Activated fibroblast growth factor receptor 3 is an oncogene that contributes to tumor progression in multiple myeloma.
Blood 97:729-736(2001)


PubMed=15215163; DOI=10.1016/S0002-9440(10)63276-2
Inoue J., Otsuki T., Hirasawa A., Imoto I., Matsuo Y., Shimizu S., Taniwaki M., Inazawa J.
Overexpression of PDZK1 within the 1q12-q22 amplicon is likely to be associated with drug-resistance phenotype in multiple myeloma.
Am. J. Pathol. 165:71-81(2004)


PubMed=16956823
Bataille R., Jego G., Robillard N., Barille-Nion S., Harousseau J.-L., Moreau P., Amiot M., Pellat-Deceunynck C.
The phenotype of normal, reactive and malignant plasma cells Identification of 'many and multiple myelomas' and of new targets for myeloma therapy.
Haematologica 91:1234-1240(2006)


PubMed=17171682; DOI=10.1002/gcc.20404
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Molecular characterization of human multiple myeloma cell lines by integrative genomics: insights into the biology of the disease.
Genes Chromosomes Cancer 46:226-238(2007)


PubMed=17692805; DOI=10.1016/j.ccr.2007.07.003
Keats J.J., Fonseca R., Chesi M., Schop R., Baker A., Chng W.-J., Van Wier S., Tiedemann R., Shi C.-X., Sebag M., Braggio E., Henry T., Zhu Y.-X., Fogle H., Price-Troska T.L., Ahmann G.J., Mancini C., Brents L.A., Kumar S.K., Greipp P., Dispenzieri A., Bryant B., Mulligan G., Bruhn L., Barrett M.T., Valdez R., Trent J.M., Stewart A.K., Carpten J.D., Bergsagel P.L.
Promiscuous mutations activate the noncanonical NF-kappaB pathway in multiple myeloma.
Cancer Cell 12:131-144(2007)


PubMed=18647998; DOI=10.1093/jncimonographs/lgn011
Dib A., Gabrea A., Glebov O.K., Bergsagel P.L., Kuehl W.M.
Characterization of MYC translocations in multiple myeloma cell lines.
J. Natl. Cancer Inst. Monogr. 39:25-31(2008)


PubMed=18700954; DOI=10.1186/1755-8794-1-37
Ronchetti D., Lionetti M., Mosca L., Agnelli L., Andronache A., Fabris S., Lambertenghi-Deliliers G., Neri A.
An integrative genomic approach reveals coordinated expression of intronic miR-335, miR-342, and miR-561 with deregulated host genes in multiple myeloma.
BMC Med. Genomics 1:37.1-37.9(2008)


PubMed=19306352; DOI=10.1002/gcc.20660
Lionetti M., Agnelli L., Mosca L., Fabris S., Andronache A., Todoerti K., Ronchetti D., Lambertenghi-Deliliers G., Neri A.
Integrative high-resolution microarray analysis of human myeloma cell lines reveals deregulated miRNA expression associated with allelic imbalances and gene expression profiles.
Genes Chromosomes Cancer 48:521-531(2009)


PubMed=21173094; DOI=10.3324/haematol.2010.033456
Moreaux J., Klein B., Bataille R., Descamps G., Maiga S., Hose D., Goldschmidt H., Jauch A., Reme T., Jourdan M., Amiot M., Pellat-Deceunynck C.
A high-risk signature for patients with multiple myeloma established from the molecular classification of human myeloma cell lines.
Haematologica 96:574-582(2011)


PubMed=22460905; DOI=10.1038/nature11003
Barretina J.G., Caponigro G., Stransky N., Venkatesan K., Margolin A.A., Kim S., Wilson C.J., Lehar J., Kryukov G.V., Sonkin D., Reddy A., Liu M., Murray L., Berger M.F., Monahan J.E., Morais P., Meltzer J., Korejwa A., Jane-Valbuena J., Mapa F.A., Thibault J., Bric-Furlong E., Raman P., Shipway A., Engels I.H., Cheng J., Yu G.-Y.K., Yu J.-J., Aspesi P. Jr., de Silva M., Jagtap K., Jones M.D., Wang L., Hatton C., Palescandolo E., Gupta S., Mahan S., Sougnez C., Onofrio R.C., Liefeld T., MacConaill L.E., Winckler W., Reich M., Li N.-X., Mesirov J.P., Gabriel S.B., Getz G., Ardlie K., Chan V., Myer V.E., Weber B.L., Porter J., Warmuth M., Finan P., Harris J.L., Meyerson M.L., Golub T.R., Morrissey M.P., Sellers W.R., Schlegel R., Garraway L.A.
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
Nature 483:603-607(2012)


PubMed=25984343; DOI=10.1038/sdata.2014.35
Cowley G.S., Weir B.A., Vazquez F., Tamayo P., Scott J.A., Rusin S., East-Seletsky A., Ali L.D., Gerath W.F.J., Pantel S.E., Lizotte P.H., Jiang G.-Z., Hsiao J., Tsherniak A., Dwinell E., Aoyama S., Okamoto M., Harrington W., Gelfand E.T., Green T.M., Tomko M.J., Gopal S., Wong T.C., Li H.-B., Howell S., Stransky N., Liefeld T., Jang D., Bistline J., Meyers B.H., Armstrong S.A., Anderson K.C., Stegmaier K., Reich M., Pellman D., Boehm J.S., Mesirov J.P., Golub T.R., Root D.E., Hahn W.C.
Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.
Sci. Data 1:140035-140035(2014)


PubMed=25485619; DOI=10.1038/nbt.3080
Klijn C., Durinck S., Stawiski E.W., Haverty P.M., Jiang Z.-S., Liu H.-B., Degenhardt J., Mayba O., Gnad F., Liu J.-F., Pau G., Reeder J., Cao Y., Mukhyala K., Selvaraj S.K., Yu M.-M., Zynda G.J., Brauer M.J., Wu T.D., Gentleman R.C., Manning G., Yauch R.L., Bourgon R., Stokoe D., Modrusan Z., Neve R.M., de Sauvage F.J., Settleman J., Seshagiri S., Zhang Z.-M.
A comprehensive transcriptional portrait of human cancer cell lines.
Nat. Biotechnol. 33:306-312(2015)


PubMed=25688540; DOI=10.1002/cyto.a.22643
Maiga S., Brosseau C., Descamps G., Dousset C., Gomez-Bougie P., Chiron D., Menoret E., Kervoelen C., Vie H., Cesbron A., Moreau-Aubry A., Amiot M., Pellat-Deceunynck C.
A simple flow cytometry-based barcode for routine authentication of multiple myeloma and mantle cell lymphoma cell lines.
Cytometry A 87:285-288(2015)


PubMed=25877200; DOI=10.1038/nature14397
Yu M., Selvaraj S.K., Liang-Chu M.M.Y., Aghajani S., Busse M., Yua

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