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LP-1人多发性骨髓瘤细胞(STR鉴定)
英文名:LP-1
货号:ZQ1010
价格:¥2000.00
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LP-1人多发性骨髓瘤细胞(STR鉴定)

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  • 产品说明
  • 产品规格
  • 参考文献
  • STR鉴定

产品名称

LP-1人多发性骨髓瘤细胞

货号

ZQ1010

产品介绍

LP-1 细胞系是一种成熟的人类多发性骨髓瘤细胞系,1986年从一位患有多发性骨髓瘤(LGG,EBV阴性)白血病转化的56岁女性患者的外周血中分离建系,其特征是 t(4;14)(p16;q32) 易位,导致成纤维细胞生长因子受体 3 (FGFR3) 表达失调。这种基因畸变是多发性骨髓瘤亚组的标志,与疾病的发病机制和进展有关。LP-1 细胞表达功能性 FGFR3,当其被激活时,可以参与 MAP 激酶信号通路,促进细胞增殖和存活。值得注意的是,LP-1 携带 FGFR3 基因中的非激活 F384L 突变,这使其有别于其他具有 FGFR3 激活突变的骨髓瘤细胞系。

LP-1 细胞可用于研究 FGFR3 在多发性骨髓瘤中的作用,特别是在非激活突变的情况下。研究表明,在多发性骨髓瘤中,FGFR3 突变和其他常见的致癌突变(如 Ras 家族中的突变)通常是相互排斥的,这表明这些突变可能通过相似或重叠的途径导致肿瘤发生。这使得 LP-1 成为探索多发性骨髓瘤潜在分子机制和测试针对 FGFR3 途径的靶向疗法的宝贵模型。

除了与 FGFR3 相关研究的相关性外,LP-1 在专注于骨髓瘤生物学更广泛方面的研究中也具有重要意义,包括白细胞介素 6 (IL-6) 等细胞因子在细胞存活和增殖中的作用。该细胞系在研究骨髓瘤细胞与其骨髓微环境之间的相互作用以及开发旨在破坏这些相互作用以控制疾病进展的新型治疗策略方面发挥了重要作用。

种属

性别/年龄

/56岁

组织

外周血

疾病

多发性骨髓瘤

细胞类型

肿瘤细胞

形态学

圆形单个细胞

生长方式

悬浮

倍增时间

 50 hours (PubMed=2784066); 48 hours (PubMed=25984343); 35-80 hours (Note=Depending on cell density) (DSMZ=ACC-41)

培养基和添加剂

IMDM基础培养基(中乔新舟  货号:ZQ-900)+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

ZM1010

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 11,12

D2S1338 18,26

D3S1358 16,18

D5S818 11

D7S820 11,12

D8S1179 13 (DSMZ=ACC-41)

               :13,15 (PubMed=25877200)

D13S317 12

D16S539 11,12

D18S51 18

D19S433 14

D21S11 30,31

FGA 20,21

Penta D 12

Penta E 10,11

TH01 7,8

TPOX 11

vWA 17

抗原表达/受体表达

*** 

基因表达

*** 

保藏机构

DSMZ; ACC-41

供应限制

仅供科研使用


货号

ZQ1010

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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Pegoraro L., Malavasi F., Bellone G., Massaia M., Boccadoro M., Saglio G., Guerrasio A., Benetton G., Lombardi L., Coda R., Avanzi G.C.
The human myeloma cell line LP-1: a versatile model in which to study early plasma-cell differentiation and c-myc activation.
Blood 73:1020-1027(1989)


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Puthier D., Derenne S., Barille S., Moreau P., Harousseau J.-L., Bataille R., Amiot M.
Mcl-1 and Bcl-xL are co-regulated by IL-6 in human myeloma cells.
Br. J. Haematol. 107:392-395(1999)


DOI=10.1007/0-306-46877-8_4
Jernberg-Wiklund H., Nilsson K.
Multiple myeloma cell lines.
(In) Human cell culture. Vol. 3. Cancer cell lines part 3; Masters J.R.W., Palsson B.O. (eds.); pp.81-155; Kluwer Academic Publishers; New York (2000)


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=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
Lombardi L., Poretti G., Mattioli M., Fabris S., Agnelli L., Bicciato S., Kwee I., Rinaldi A., Ronchetti D., Verdelli D., Lambertenghi-Deliliers G., Bertoni F., Neri A.
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=20164919; DOI=10.1038/nature08768
Bignell G.R., Greenman C.D., Davies H., Butler A.P., Edkins S., Andrews J.M., Buck G., Chen L., Beare D., Latimer C., Widaa S., Hinton J., Fahey C., Fu B.-Y., Swamy S., Dalgliesh G.L., Teh B.T., Deloukas P., Yang F.-T., Campbell P.J., Futreal P.A., Stratton M.R.
Signatures of mutation and selection in the cancer genome.
Nature 463:893-898(2010)


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., Yuan J., Lee G., Peale F.V., Klijn C., Bourgon R., Kaminker J.S., Neve R.M.
A resource for cell line authentication, annotation and quality control.
Nature 520:307-311(2015)


PubMed=26589293; DOI=10.1186/s13073-015-0240-5
Scholtalbers J., Boegel S., Bukur T., Byl M., Goerges S., Sorn P., Loewer M., Sahin U., Castle J.C.
TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression.
Genome Med. 7:118.1-118.7(2015)


PubMed=27397505; DOI=10.1016/j.cell.2016.06.017
Iorio F., Knijnenburg T.A., Vis D.J., Bignell G.R., Menden M.P., Schubert M., Aben N., Goncalves E., Barthorpe S., Lightfoot H., Cokelaer T., Greninger P., van Dyk E., Chang H., de Silva H., Heyn H., Deng X.-M., Egan R.K., Liu Q.-S., Mironenko T., Mitropoulos X., Richardson L., Wang J.-H., Zhang T.-H., Moran S., Sayols S., Soleimani M., Tamborero D., Lopez-Bigas N., Ross-Macdonald P., Esteller M., Gray N.S., Haber D.A., Stratton M.R., Benes C.H., Wessels L.F.A., Saez-Rodriguez J., McDermott U., Garnett M.J.
A landscape of pharmacogenomic interactions in cancer.
Cell 166:740-754(2016)



CLPUB00604

Chow S.
Targeted capture and sequencing of immunoglobulin rearrangements in multiple myeloma to enable detection of minimal residual disease.
Thesis MSc (2017), University of Toronto, Canada



PubMed=28196595; DOI=10.1016/j.ccell.2017.01.005
Li J., Zhao W., Akbani R., Liu W.-B., Ju Z.-L., Ling S.-Y., Vellano C.P., Roebuck P., Yu Q.-H., Eterovic A.K., Byers L.A., Davies M.A., Deng W.-L., Gopal Y.N.V., Chen G., von Euw E.M., Slamon D.J., Conklin D., Heymach J.V., Gazdar A.F., Minna J.D., Myers J.N., Lu Y.-L., Mills G.B., Liang H.
Characterization of human cancer cell lines by reverse-phase protein arrays.
Cancer Cell 31:225-239(2017)


PubMed=30285677; DOI=10.1186/s12885-018-4840-5
Tan K.-T., Ding L.-W., Sun Q.-Y., Lao Z.-T., Chien W., Ren X., Xiao J.-F., Loh X.-Y., Xu L., Lill M., Mayakonda A., Lin D.-C., Yang H., Koeffler H.P.
Profiling the B/T cell receptor repertoire of lymphocyte derived cell lines.
BMC Cancer 18:940.1-940.13(2018)


PubMed=30545397; DOI=10.1186/s13045-018-0679-0
Tessoulin B., Moreau-Aubry A., Descamps G., Gomez-Bougie P., Maiga S., Gaignard A., Chiron D., Menoret E., Le Gouill S., Moreau P., Amiot M., Pellat-Deceunynck C.
Whole-exon sequencing of human myeloma cell lines shows mutations related to myeloma patients at relapse with major hits in the DNA regulation and repair pathways.
J. Hematol. Oncol. 11:137.1-137.13(2018)


PubMed=30894373; DOI=10.1158/0008-5472.CAN-18-2747
Dutil J., Chen Z.-H., Monteiro A.N.A., Teer J.K., Eschrich S.A.
An interactive resource to probe genetic diversity and estimated ancestry in cancer cell lines.
Cancer Res. 79:1263-1273(2019)


PubMed=30971826; DOI=10.1038/s41586-019-1103-9
Behan F.M., Iorio F., Picco G., Goncalves E., Beaver C.M., Migliardi G., Santos R., Rao Y., Sassi F., Pinnelli M., Ansari R., Harper S., Jackson D.A., McRae R., Pooley R., Wilkinson P., van der Meer D.J., Dow D., Buser-Doepner C.A., Bertotti A., Trusolino L., Stronach E.A., Saez-Rodriguez J., Yusa K., Garnett M.J.
Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens.
Nature 568:511-516(2019)


PubMed=31068700; DOI=10.1038/s41586-019-1186-3
Ghandi M., Huang F.W., Jane-Valbuena J., Kryukov G.V., Lo C.C., McDonald E.R. III, Barretina J.G., Gelfand E.T., Bielski C.M., Li H.-X., Hu K., Andreev-Drakhlin A.Y., Kim J., Hess J.M., Haas B.J., Aguet F., Weir B.A., Rothberg M.V., Paolella B.R., Lawrence M.S., Akbani R., Lu Y.-L., Tiv H.L., Gokhale P.C., de Weck A., Mansour A.A., Oh C., Shih J., Hadi K., Rosen Y., Bistline J., Venkatesan K., Reddy A., Sonkin D., Liu M., Lehar J., Korn J.M., Porter D.A., Jones M.D., Golji J., Caponigro G., Taylor J.E., Dunning C.M., Creech A.L., Warren A.C., McFarland J.M., Zamanighomi M., Kauffmann A., Stransky N., Imielinski M., Maruvka Y.E., Cherniack A.D., Tsherniak A., Vazquez F., Jaffe J.D., Lane A.A., Weinstock D.M., Johannessen C.M., Morrissey M.P., Stegmeier F., Schlegel R., Hahn W.C., Getz G., Mills G.B., Boehm J.S., Golub T.R., Garraway L.A., Sellers W.R.
Next-generation characterization of the Cancer Cell Line Encyclopedia.
Nature 569:503-508(2019)


PubMed=31160637; DOI=10.1038/s41598-019-44491-x
Quentmeier H., Pommerenke C., Dirks W.G., Eberth S., Koeppel M., MacLeod R.A.F., Nagel S., Steube K., Uphoff C.C., Drexler H.G.
The LL-100 panel: 100 cell lines for blood cancer studies.
Sci. Rep. 9:8218-8218(2019)


PubMed=32123307; DOI=10.1038/s41375-020-0785-1
Sarin V., Yu K., Ferguson I.D., Gugliemini O., Nix M.A., Hann B., Sirota M., Wiita A.P.
Evaluating the efficacy of multiple myeloma cell lines as models for patient tumors via transcriptomic correlation analysis.
Leukemia 34:2754-2765(2020)


PubMed=35839778; DOI=10.1016/j.ccell.2022.06.010
Goncalves E., Poulos R.C., Cai Z.-X., Barthorpe S., Manda S.S., Lucas N., Beck A., Bucio-Noble D., Dausmann M., Hall C., Hecker M., Koh J., Lightfoot H., Mahboob S., Mali I., Morris J., Richardson L., Seneviratne A.J., Shepherd R., Sykes E., Thomas F., Valentini S., Williams S.G., Wu Y.-X., Xavier D., MacKenzie K.L., Hains P.G., Tully B., Robinson P.J., Zhong Q., Garnett M.J., Reddel R.R.
Pan-cancer proteomic map of 949 human cell lines.
Cancer Cell 40:835-849.e8(2022)

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