Predicting Drug Resistance by Single-Cell RNASeq in Patients with Multiple Myeloma

被引：4
|
作者：
Kashif, Muhammad [1 ]
Alici, Evren [1 ]
Nahi, Hareth [1 ,2 ]
机构：
[1] Karolinska Inst, Dept Med, Stockholm, Sweden
[2] Karolinska Univ Hosp, Dept Hematol, Stockholm, Sweden
来源：
CLINICAL CHEMISTRY | 2021年 / 67卷 / 10期
关键词：
D O I：
10.1093/clinchem/hvab108
中图分类号：
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号：
1001 ;
摘要：
[No abstract available]
引用
收藏
页码：1309 / 1311
页数：3
相关论文
共 50 条
  • [1] Identification of resistance pathways and therapeutic targets in relapsed multiple myeloma patients through single-cell sequencing
    Cohen, Yael C.
    Zada, Mor
    Wang, Shuang-Yin
    Bornstein, Chamutal
    David, Eyal
    Moshe, Adi
    Li, Baoguo
    Shlomi-Loubaton, Shir
    Gatt, Moshe E.
    Gur, Chamutal
    Lavi, Noa
    Ganzel, Chezi
    Luttwak, Efrat
    Chubar, Evgeni
    Rouvio, Ory
    Vaxman, Iuliana
    Pasvolsky, Oren
    Ballan, Mouna
    Tadmor, Tamar
    Nemets, Anatoly
    Jarchowcky-Dolberg, Osnat
    Shvetz, Olga
    Laiba, Meirav
    Shpilberg, Ofer
    Dally, Najib
    Avivi, Irit
    Weiner, Assaf
    Amit, Ido
    NATURE MEDICINE, 2021, 27 (03) : 491 - +
  • [2] Identification of resistance pathways and therapeutic targets in relapsed multiple myeloma patients through single-cell sequencing
    Yael C. Cohen
    Mor Zada
    Shuang-Yin Wang
    Chamutal Bornstein
    Eyal David
    Adi Moshe
    Baoguo Li
    Shir Shlomi-Loubaton
    Moshe E. Gatt
    Chamutal Gur
    Noa Lavi
    Chezi Ganzel
    Efrat Luttwak
    Evgeni Chubar
    Ory Rouvio
    Iuliana Vaxman
    Oren Pasvolsky
    Mouna Ballan
    Tamar Tadmor
    Anatoly Nemets
    Osnat Jarchowcky-Dolberg
    Olga Shvetz
    Meirav Laiba
    Ofer Shpilberg
    Najib Dally
    Irit Avivi
    Assaf Weiner
    Ido Amit
    Nature Medicine, 2021, 27 : 491 - 503
  • [3] A review of computational methods for predicting cancer drug response at the single-cell level through integration with bulk RNAseq data
    Maeser, Danielle
    Zhang, Weijie
    Huang, Yingbo
    Huang, R. Stephanie
    CURRENT OPINION IN STRUCTURAL BIOLOGY, 2024, 84
  • [4] Unraveling the heterogeneity of multiple myeloma associated with therapy resistance by single-cell RNA sequencing
    Kamiya, Takahiro
    Oshima, Motohiko
    Koide, Shuhei
    Nakajima-Takagi, Yaeko
    Aoyama, Kazumasa
    Kaito, Satoshi
    Itokawa, Naoki
    Yamashita, Masayuki
    Doki, Noriko
    Kataoka, Keisuke
    Iwama, Atsushi
    CLINICAL LYMPHOMA MYELOMA & LEUKEMIA, 2023, 23 : S17 - S18
  • [5] Characterization of Multiple Myeloma Subpopulations Associated with Treatment Resistance By Single-Cell RNA Sequencing
    Kamiya, Takahiro
    Oshima, Motohiko
    Koide, Shuhei
    Nakajima-Takagi, Yaeko
    Aoyama, Kazumasa
    Kaito, Satoshi
    Itokawa, Naoki
    Yamashita, Masayuki
    Doki, Noriko
    Kataoka, Keisuke
    Iwama, Atsushi
    BLOOD, 2023, 142
  • [6] Single-Cell Transcriptomic and Proteomic Diversity in Multiple Myeloma
    Jayasinghe, Reyka G.
    Wu, Yige
    Zhu, Ying
    Liu, Ruiyang
    Fiala, Mark A.
    Kohnen, Daniel R.
    Tsai, Chia-Feng
    Mani, Smrithi
    King, Justin
    Rettig, Michael P.
    O'Neal, Julie
    Wang, Tianjiao
    Foltz, Steven M.
    Yao, Lijun
    Sun, Hua
    Fronick, Catrina
    Goldsmith, Scott R.
    DiPersio, John F.
    Vij, Ravi
    Tao, Liu
    Ding, Li
    BLOOD, 2019, 134
  • [7] Single-cell CRISPR screening in drug resistance
    William Wang
    Xiangdong Wang
    Cell Biology and Toxicology, 2017, 33 : 207 - 210
  • [8] Single-cell CRISPR screening in drug resistance
    Wang, William
    Wang, Xiangdong
    CELL BIOLOGY AND TOXICOLOGY, 2017, 33 (03) : 207 - 210
  • [9] scDR: Predicting Drug Response at Single-Cell Resolution
    Lei, Wanyue
    Yuan, Mengqin
    Long, Min
    Zhang, Tao
    Huang, Yu-e
    Liu, Haizhou
    Jiang, Wei
    GENES, 2023, 14 (02)
  • [10] Comparison of Live Cell Enrichment Methods for Single-Cell Rnaseq
    Urben, Brigita Meskauskaite
    Krause, Tobias
    Takizawa, Meril
    Snopkowski, Catherine
    Masilionis, Ignas
    Remsik, Jan
    Parisotto, Yollanda
    Brown, Chrysothemis
    Boire, Adrienne
    Pe'er, Dana
    Sharma, Roshan
    Chaligne, Ronan
    BLOOD, 2023, 142
12345