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SUM159PT人乳腺癌细胞

英文名:SUM159PT
货号:ZQ1075
价格:¥1500.00
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推荐组合

SUM159PT人乳腺癌细胞

¥1500.00
+

SUM159PT 人乳腺癌细胞专用培养基

¥350.00 ¥480.00

配套完培,省时省力,单买细胞无优惠

=

细胞套餐惊爆价

¥1850 ¥2680.00
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  • 产品说明
  • 产品规格
  • 参考文献
  • STR鉴定

产品名称

SUM159PT 人乳腺癌细胞

货号

ZQ1075

产品介绍

SUM-159PT 来源于原发性人类间变性乳腺癌,是一种基底乳腺癌细胞系,具有上皮起源的不依赖雌激素的人乳腺癌细胞系 。这种细胞系是三阴性乳腺癌(TNBC)细胞系,表现为雌激素受体(ER)阴性、孕激素受体(PR)阴性、人表皮生长因子受体2(HER2)阴性。它展现基底型B/claudin-low型TNBC特征,是一种上皮样细胞,呈现纺锤状外观。SUM159PT细胞能够在体外培养中形成乳腺球(mammospheres),并具有体外侵袭能力 。

种属

性别/年龄

女/71岁

组织

乳腺

疾病

乳腺癌

细胞类型

肿瘤细胞

形态学

上皮

生长方式

贴壁

倍增时间

21.73 hours (JWGray panel)

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:ZQ500-A+1%P/S(中乔新舟  货号:CSP006

推荐完全培养基货号

ZM1075

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 10,11 (DepMap=ACH-001391)

              :11 (PubMed=25877200; PubMed=28889351)

D3S1358 11,16 (PubMed=25877200)

              :11,16,17 (DepMap=ACH-001391)

D5S818 11

D7S820 10

D8S1179 11,13

D13S317 12

D16S539 11

D18S51 12,14 (PubMed=25877200)

            :12,14,15 (DepMap=ACH-001391)

D21S11 28

FGA 21,22

Penta D 9,11

Penta E 17

TH01 6,7

TPOX 8,11

vWA 16

抗原表达/受体表达

*** 

基因表达

*** 

保藏机构

 CLS; 305116

供应限制

仅供科研使用


货号

ZQ1075

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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Genes Chromosomes Cancer 37:333-345(2003)


PubMed=15677628; DOI=10.1093/carcin/bgi032
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Cancer Res. 66:41-45(2006)


PubMed=16541312; DOI=10.1007/s10549-006-9186-z
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Thirteen new p53 gene mutants identified among 41 human breast cancer cell lines.
Breast Cancer Res. Treat. 99:97-101(2006)


PubMed=17157791; DOI=10.1016/j.ccr.2006.10.008
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A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes.
Cancer Cell 10:515-527(2006)



CLPUB00423

Morrison B.J.
Breast cancer stem cells: tumourspheres and implications for therapy.
Thesis PhD (2010), Griffith University, Australia



PubMed=19593635; DOI=10.1007/s10549-009-0460-8
Hollestelle A., Nagel J.H.A., Smid M., Lam S., Elstrodt F., Wasielewski M., Ng S.S., French P.J., Peeters J.K., Rozendaal M.J., Riaz M., Koopman D.G., ten Hagen T.L.M., de Leeuw B.H.C.G.M., Zwarthoff E.C., Teunisse A., van der Spek P.J., Klijn J.G.M., Dinjens W.N.M., Ethier S.P., Clevers H.C., Jochemsen A.G., den Bakker M.A., Foekens J.A., Martens J.W.M., Schutte M.
Distinct gene mutation profiles among luminal-type and basal-type breast cancer cell lines.
Breast Cancer Res. Treat. 121:53-64(2010)


PubMed=21778573; DOI=10.3233/BD-2010-0307
Chavez K.J., Garimella S.V., Lipkowitz S.
Triple negative breast cancer cell lines: one tool in the search for better treatment of triple negative breast cancer.
Breast Dis. 32:35-48(2010)


PubMed=23151021; DOI=10.1186/1471-2164-13-619
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Molecular characterisation of cell line models for triple-negative breast cancers.
BMC Genomics 13:619.1-619.14(2012)


PubMed=23401782; DOI=10.1155/2013/872743
Barnabas N., Cohen D.
Phenotypic and molecular characterization of MCF10DCIS and SUM breast cancer cell lines.
Int. J. Breast Cancer 2013:872743.1-872743.16(2013)


PubMed=23601657; DOI=10.1186/bcr3415
Riaz M., van Jaarsveld M.T.M., Hollestelle A., Prager-van der Smissen W.J.C., Heine A.A.J., Boersma A.W.M., Liu J.-J., Helmijr J.C.A., Ozturk B., Smid M., Wiemer E.A.C., Foekens J.A., Martens J.W.M.
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PubMed=24162158; DOI=10.1007/s10549-013-2743-3
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Breast Cancer Res. Treat. 142:237-255(2013)


PubMed=24176112; DOI=10.1186/gb-2013-14-10-r110
Daemen A., Griffith O.L., Heiser L.M., Wang N.J., Enache O.M., Sanborn Z., Pepin F., Durinck S., Korkola J.E., Griffith M., Hur J.S., Huh N., Chung J., Cope L., Fackler M.J., Umbricht C.B., Sukumar S., Seth P., Sukhatme V.P., Jakkula L.R., Lu Y.-L., Mills G.B., Cho R.J., Collisson E.A., van 't Veer L.J., Spellman P.T., Gray J.W.
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PubMed=25485619; DOI=10.1038/nbt.3080
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PubMed=25877200; DOI=10.1038/nature14397
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PubMed=26589293; DOI=10.1186/s13073-015-0240-5
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Genome Med. 7:118.1-118.7(2015)


PubMed=26735014; DOI=10.1038/nature16508
Shu S.-K., Lin C.Y., He H.-S.H., Witwicki R.M., Tabassum D.P., Roberts J.M., Janiszewska M., Huh S.J., Liang Y., Ryan J., Doherty E., Mohammed H., Guo H., Stover D.G., Ekram M.B., Brown J., D'Santos C., Krop I.E., Dillon D., McKeown M.R., Ott C., Qi J., Ni M., Rao P.K., Duarte M., Wu S.-Y., Chiang C.-M., Anders L., Young R.A., Winer E., Letai A.G., Barry W.T., Carroll J.S., Long H., Brown M.A., Liu X.-L.S., Meyer C.A., Bradner J.E., Polyak K.
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PubMed=28889351; DOI=10.1007/s10549-017-4496-x
Saunus J.M., Smart C.E., Kutasovic J.R., Johnston R.L., Kalita-de Croft P., Miranda M., Rozali E.N., Vargas A.C., Reid L.E., Lorsy E., Cocciardi S., Seidens T., McCart Reed A.E., Dalley A.J., Wockner L.F., Johnson J., Sarkar D., Askarian-Amiri M.E., Simpson P.T., Khanna K.K., Chenevix-Trench G., Al-Ejeh F., Lakhani S.R.
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PubMed=32416067; DOI=10.1016/j.molcel.2020.04.027
Shu S.-K., Wu H.-J., Ge J.Y., Zeid R., Harris I.S., Jovanovic B., Murphy K., Wang B.-B., Qiu X.-T., Endress J.E., Reyes J., Lim K., Font-Tello A., Syamala S., Xiao T.-F., Reddy Chilamakuri C.S., Papachristou E.K., D'Santos C., Anand J., Hinohara K., Li W., McDonald T.O., Luoma A., Modiste R.J., Nguyen Q.-D., Michel B., Cejas P., Kadoch C., Jaffe J.D., Wucherpfennig K.W., Qi J., Liu X.-L.S., Long H., Brown M.A., Carroll J.S., Brugge J.S., Bradner J.E., Michor F., Polyak K.
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PubMed=32715085; DOI=10.1038/s41523-020-0173-z
Ethier S.P., Guest S.T., Garrett-Mayer E., Armeson K., Wilson R.C., Duchinski K., Couch D., Gray J.W., Kappler C.S.
Development and implementation of the SUM breast cancer cell line functional genomics knowledge base.
NPJ Breast Cancer 6:30.1-30.14(2020)


PubMed=34320349; DOI=10.1016/j.celrep.2021.109441
Jochems F., Thijssen B., De Conti G., Jansen R., Pogacar Z., Groot K., Wang L.-Q., Schepers A., Wang C., Jin H.-J., Beijersbergen R.L., Leite de Oliveira R., Wessels L.F.A., Bernards R.
The cancer SENESCopedia: a delineation of cancer cell senescence.
Cell Rep. 36:109441.1-109441.22(2021)


PubMed=35042871; DOI=10.1038/s41523-021-00379-6
Rypens C., Bertucci F., Finetti P., Robertson F.M., Fernandez S.V., Ueno N.T., Woodward W.A., Van Golen K., Vermeulen P., Dirix L., Viens P., Birnbaum D., Devi G.R., Cristofanilli M., Van Laere S.
Comparative transcriptional analyses of preclinical models and patient samples reveal MYC and RELA driven expression patterns that define the molecular landscape of IBC.
NPJ Breast Cancer 8:12.1-12.12(2022)

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