A single-cell survey of cellular hierarchy in acute myeloid leukemia

被引:58
|
作者
Wu, Junqing [1 ,4 ]
Xiao, Yanyu [1 ,4 ]
Sun, Jie [3 ]
Sun, Huiyu [1 ,4 ]
Chen, Haide [1 ,4 ]
Zhu, Yuanyuan [3 ]
Fu, Huarui [3 ]
Yu, Chengxuan [1 ,4 ]
Weigao, E. [1 ,4 ]
Lai, Shujing [1 ,4 ]
Ma, Lifeng [1 ,4 ]
Li, Jiaqi [1 ,4 ]
Fei, Lijiang [1 ,4 ]
Jiang, Mengmeng [1 ,4 ]
Wang, Jingjing [1 ,4 ]
Ye, Fang [1 ,4 ]
Wang, Renying [1 ,4 ]
Zhou, Ziming [1 ,4 ]
Zhang, Guodong [1 ,4 ]
Zhang, Tingyue [1 ,4 ]
Ding, Qiong [5 ]
Wang, Zou [5 ]
Hao, Sheng [5 ]
Liu, Lizhen [3 ]
Zheng, Weiyan [3 ]
He, Jingsong [3 ]
Huang, Weijia [3 ]
Wang, Yungui [2 ]
Xie, Jin [6 ]
Li, Tiefeng [7 ]
Cheng, Tao [8 ,9 ]
Han, Xiaoping [1 ,4 ,10 ]
Huang, He [2 ,3 ,4 ,9 ,10 ]
Guo, Guoji [1 ,2 ,4 ,9 ,10 ]
机构
[1] Zhejiang Univ, Affiliated Hosp 1, Ctr Stem Cell & Regenerat Med, Sch Med, Hangzhou 310058, Peoples R China
[2] Zhejiang Univ, Affiliated Hosp 1, Sch Med, Inst Hematol, Hangzhou 310003, Peoples R China
[3] Zhejiang Univ, Affiliated Hosp 1, Bone Marrow Transplantat Ctr, Sch Med, Hangzhou 310003, Peoples R China
[4] Zhejiang Univ, Stem Cell Inst, Hangzhou 310058, Peoples R China
[5] Wuhan Biobank Co LTD, Wuhan 430075, Peoples R China
[6] Zhejiang Univ, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310058, Peoples R China
[7] Zhejiang Univ, Inst Appl Mech, Hangzhou 310027, Peoples R China
[8] Chinese Acad Med Sci & Peking Union Med Coll, Inst Hematol & Blood Dis Hosp, Tianjin 300000, Peoples R China
[9] Alliance Atlas Blood Cells, Tianjin, Peoples R China
[10] Zhejiang Univ, Med Ctr, Zhejiang Lab Syst & Precis Med, Hangzhou 311121, Peoples R China
基金
中国国家自然科学基金;
关键词
Acute myeloid leukemia; Single-cell mRNA sequencing; Microwell-seq; Ribosomal protein; Single-molecule real-time sequencing; Cancer attractor; CANCER; EXPRESSION; PROTEINS; DEFINES; CLASSIFICATION; RESISTANCE; LANDSCAPE; DIAGNOSIS; INFERENCE; GENOMICS;
D O I
10.1186/s13045-020-00941-y
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Acute myeloid leukemia (AML) is a fatal hematopoietic malignancy and has a prognosis that varies with its genetic complexity. However, there has been no appropriate integrative analysis on the hierarchy of different AML subtypes. Methods Using Microwell-seq, a high-throughput single-cell mRNA sequencing platform, we analyzed the cellular hierarchy of bone marrow samples from 40 patients and 3 healthy donors. We also used single-cell single-molecule real-time (SMRT) sequencing to investigate the clonal heterogeneity of AML cells. Results From the integrative analysis of 191727 AML cells, we established a single-cell AML landscape and identified an AML progenitor cell cluster with novel AML markers. Patients with ribosomal protein high progenitor cells had a low remission rate. We deduced two types of AML with diverse clinical outcomes. We traced mitochondrial mutations in the AML landscape by combining Microwell-seq with SMRT sequencing. We propose the existence of a phenotypic "cancer attractor" that might help to define a common phenotype for AML progenitor cells. Finally, we explored the potential drug targets by making comparisons between the AML landscape and the Human Cell Landscape. Conclusions We identified a key AML progenitor cell cluster. A high ribosomal protein gene level indicates the poor prognosis. We deduced two types of AML and explored the potential drug targets. Our results suggest the existence of a cancer attractor.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] A single-cell survey of cellular hierarchy in acute myeloid leukemia
    Junqing Wu
    Yanyu Xiao
    Jie Sun
    Huiyu Sun
    Haide Chen
    Yuanyuan Zhu
    Huarui Fu
    Chengxuan Yu
    Weigao E.
    Shujing Lai
    Lifeng Ma
    Jiaqi Li
    Lijiang Fei
    Mengmeng Jiang
    Jingjing Wang
    Fang Ye
    Renying Wang
    Ziming Zhou
    Guodong Zhang
    Tingyue Zhang
    Qiong Ding
    Zou Wang
    Sheng Hao
    Lizhen Liu
    Weiyan Zheng
    Jingsong He
    Weijia Huang
    Yungui Wang
    Jin Xie
    Tiefeng Li
    Tao Cheng
    Xiaoping Han
    He Huang
    Guoji Guo
    Journal of Hematology & Oncology, 13
  • [2] Single-cell sequencing applications in acute myeloid leukemia
    Lecornec, Nicolas
    Duchmann, Matthieu
    Itzykson, Raphael
    LEUKEMIA & LYMPHOMA, 2025, 66 (02) : 175 - 189
  • [3] Novel single-cell technologies in acute myeloid leukemia research
    Gupta, Soumyasri Das
    Sachs, Zohar
    TRANSLATIONAL RESEARCH, 2017, 189 : 123 - 135
  • [4] The single-cell atlas of driver mutations in acute myeloid leukemia
    Morita, Kiyomi
    Wang, Feng
    Jahn, Katharina
    Yan, Yuanqing
    Durruthy-Durruthy, Robert
    Parikh, Anup
    Matthews, Jairo
    Little, Latasha
    Gumbs, Curtis
    Zhang, Jianhua
    Song, Xingzhi
    Thompson, Erika
    Patel, Keyur
    Bueso-Ramos, Carlos
    DiNardo, Courtney
    Ravandi, Farhad
    Jabbour, Elias
    Andreeff, Michael
    Cortes, Jorge
    Konopleva, Marina
    Garcia-Manero, Guillermo
    Kantarjian, Hagop
    Eastburn, Dennis J.
    Futreal, P. Andrew
    Beerenwinkel, Niko
    Takahashi, Koichi
    CANCER RESEARCH, 2019, 79 (13)
  • [5] Longitudinal single-cell profiling of chemotherapy response in acute myeloid leukemia
    Matteo Maria Naldini
    Gabriele Casirati
    Matteo Barcella
    Paola Maria Vittoria Rancoita
    Andrea Cosentino
    Carolina Caserta
    Francesca Pavesi
    Erika Zonari
    Giacomo Desantis
    Diego Gilioli
    Matteo Giovanni Carrabba
    Luca Vago
    Massimo Bernardi
    Raffaella Di Micco
    Clelia Di Serio
    Ivan Merelli
    Monica Volpin
    Eugenio Montini
    Fabio Ciceri
    Bernhard Gentner
    Nature Communications, 14
  • [6] Big data and single-cell sequencing in acute myeloid leukemia research
    Zou, Yuxuan
    Zhang, Huiyuan
    Hu, Hongbo
    MEDCOMM-ONCOLOGY, 2023, 2 (03):
  • [7] Longitudinal single-cell profiling of chemotherapy response in acute myeloid leukemia
    Naldini, Matteo Maria
    Casirati, Gabriele
    Barcella, Matteo
    Rancoita, Paola Maria Vittoria
    Cosentino, Andrea
    Caserta, Carolina
    Pavesi, Francesca
    Zonari, Erika
    Desantis, Giacomo
    Gilioli, Diego
    Carrabba, Matteo Giovanni
    Vago, Luca
    Bernardi, Massimo
    Di Micco, Raffaella
    Di Serio, Clelia
    Merelli, Ivan
    Volpin, Monica
    Montini, Eugenio
    Ciceri, Fabio
    Gentner, Bernhard
    NATURE COMMUNICATIONS, 2023, 14 (01)
  • [8] Single-Cell Atlas of Driver Mutations in Acute Myeloid Leukemia (AML)
    Morita, Kiyomi
    Wang, Feng
    Durruthy-Durruthy, Robert
    Parikh, Anup
    Matthews, Jairo
    Little, Latasha
    Tippen, Samantha
    Gumbs, Curtis
    Zhang, Jianhua
    Song, Xingzhi
    Thompson, Erika
    Patel, Keyur
    Bueso-Ramos, Carlos E.
    DiNardo, Courtney D.
    Ravandi, Farhad
    Jabbour, Elias J.
    Andreeff, Michael
    Cortes, Jorge E.
    Konopleva, Marina Y.
    Garcia-Manero, Guillermo
    Kantarjian, Hagop M.
    Eastburn, Dennis J.
    Futreal, P. Andrew
    Takahashi, Koichi
    BLOOD, 2018, 132
  • [9] Clonally resolved single-cell multi-omics identifies routes of cellular differentiation in acute myeloid leukemia
    Beneyto-Calabuig, Sergi
    Merbach, Anne Kathrin
    Kniffka, Jonas-Alexander
    Antes, Magdalena
    Szu-Tu, Chelsea
    Rohde, Christian
    Waclawiczek, Alexander
    Stelmach, Patrick
    Graessle, Sarah
    Pervan, Philip
    Janssen, Maike
    Landry, Jonathan J. M.
    Benes, Vladimir
    Jauch, Anna
    Brough, Michaela
    Bauer, Marcus
    Besenbeck, Birgit
    Felden, Julia
    Baeumer, Sebastian
    Hundemer, Michael
    Sauer, Tim
    Pabst, Caroline
    Wickenhauser, Claudia
    Angenendt, Linus
    Schliemann, Christoph
    Trumpp, Andreas
    Haas, Simon
    Scherer, Michael
    Raffel, Simon
    Mueller-Tidow, Carsten
    Velten, Lars
    CELL STEM CELL, 2023, 30 (05) : 706 - +
  • [10] Single-cell sequencing unveils T-cell characteristic in acute myeloid leukemia
    Zhu, Gelan
    Lang, Wenjing
    Fu, Wanbin
    Xu, Lan
    Cai, Jiayi
    Zhong, Hua
    INTERNATIONAL IMMUNOPHARMACOLOGY, 2024, 132