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DB人弥漫性大细胞淋巴瘤细胞(STR鉴定)

英文名:DB
货号:ZQ0902
价格:¥1500.00
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DB人弥漫性大细胞淋巴瘤细胞(STR鉴定)

¥1500.00
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DB人弥漫性大细胞淋巴瘤细胞专用培养基

¥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

¥1850 ¥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

DB人弥漫性大细胞淋巴瘤细胞

货号

ZQ0902

产品介绍

DB人弥漫性大B细胞淋巴瘤细胞是是由沃尔特·J·乌尔巴和丹·L·隆戈从一位45岁男性弥漫性大细胞淋巴瘤患者的腹水中建立的细胞株,携带ezh2y641N突变,属于GCB样淋巴瘤亚型(生发中心B细胞)。这些细胞的形态为圆形不同大小的单细胞,以悬浮生长为主,部分细胞成群出现。

种属

性别/年龄

男/45岁

组织

腹水

疾病

大细胞淋巴瘤

细胞类型

B淋巴细胞

形态学

淋巴母细胞

生长方式

悬浮

倍增时间

大约50小时 

培养基和添加剂

RPMI-1640(中乔新舟  货号:ZQ-200+10%胎牛血清(中乔新舟 货号:ZQ0500)+1%双抗(中乔新舟 货号:CSP006

推荐完全培养基货号

ZM0902

生物安全等级

BSL-1

STR位点信息

Amelogenin: X,Y
CSF1PO: 10,11
D13S317: 11,12
D16S539: 11
D5S818: 11
D7S820: 11
TH01: 6,8
TPOX: 8
vWA: 15,16
D3S1358: 18
D21S11: 29,31.2
D18S51: 15
Penta_E: 10
Penta_D: 9,12
D8S1179: 13,14
FGA: 22
D19S433: 11,13
D2S1338: 18,24

培养条件

95%空气,5%二氧化碳;37℃

抗原表达/受体表达

  ***

基因表达

  ***

保藏机构

ATCC; CRL-2289 DSMZ; ACC-539

供应限制

仅供科研使用

货号

ZQ0902

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


论文标题: Single-cell profiling-guided combination therapy of c-Fos and histone deacetylase inhibitors in diffuse large B-cell lymphoma
DOI: 10.1002/ctm2.798
发表时间: 2022-05-06
期刊: Clinical and Translational Medicine
影响因子: 11.492
货号: ZQ0902
产品名称: DB cells

原文链接: https://onlinelibrary.wiley.com/doi/abs/10.1002/ctm2.798



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Signatures of mutation and selection in the cancer genome.
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A genome-wide screen for microdeletions reveals disruption of polarity complex genes in diverse human cancers.
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PubMed=20628145; DOI=10.1182/blood-2010-05-282780
Green M.R., Monti S., Rodig S.J., Juszczynski P., Currie T., O'Donnell E., Chapuy B., Takeyama K., Neuberg D., Golub T.R., Kutok J.L., Shipp M.A.
Integrative analysis reveals selective 9p24.1 amplification, increased PD-1 ligand expression, and further induction via JAK2 in nodular sclerosing Hodgkin lymphoma and primary mediastinal large B-cell lymphoma.
Blood 116:3268-3277(2010)


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Blood 117:200-210(2011)


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The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
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PubMed=23699601; DOI=10.1182/blood-2013-02-483727
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