Literature DB >> 31710321

Single-cell RNA-sequencing of migratory breast cancer cells: discovering genes associated with cancer metastasis.

Yu-Chih Chen1, Saswat Sahoo, Riley Brien, Seungwon Jung, Brock Humphries, Woncheol Lee, Yu-Heng Cheng, Zhixiong Zhang, Kathryn E Luker, Max S Wicha, Gary D Luker, Euisik Yoon.   

Abstract

Considerable evidence suggests breast cancer metastasis arises from cells undergoing epithelial-to-mesenchymal-transition (EMT) and cancer stem-like cells (CSCs). Using a microfluidic device that enriches migratory breast cancer cells with enhanced capacity for tumor formation and metastasis, we identified genes differentially expressed in migratory cells by high-throughput single-cell RNA-sequencing. Migratory cells exhibited overall signatures of EMT and CSCs with variable expression of marker genes, and they retained expression profiles of EMT over time. With single-cell resolution, we discovered intermediate EMT states and distinct epithelial and mesenchymal sub-populations of migratory cells, indicating breast cancer cells can migrate rapidly while retaining an epithelial state. Migratory cells showed differential profiles for regulators of oxidative stress, mitochondrial morphology, and the proteasome, revealing potential vulnerabilities and unexpected consequences of drugs. We also identified novel genes correlated with cell migration and outcomes in breast cancer as potential prognostic biomarkers and therapeutic targets to block migratory cells in metastasis.

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Year:  2019        PMID: 31710321      PMCID: PMC8942075          DOI: 10.1039/c9an01358j

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  49 in total

1.  A mesenchymal-to-epithelial transition initiates and is required for the nuclear reprogramming of mouse fibroblasts.

Authors:  Ronghui Li; Jialiang Liang; Su Ni; Ting Zhou; Xiaobing Qing; Huapeng Li; Wenzhi He; Jiekai Chen; Feng Li; Qiang Zhuang; Baoming Qin; Jianyong Xu; Wen Li; Jiayin Yang; Yi Gan; Dajiang Qin; Shipeng Feng; Hong Song; Dongshan Yang; Biliang Zhang; Lingwen Zeng; Liangxue Lai; Miguel Angel Esteban; Duanqing Pei
Journal:  Cell Stem Cell       Date:  2010-06-17       Impact factor: 24.633

Review 2.  Epithelial-to-Mesenchymal Transition: Epigenetic Reprogramming Driving Cellular Plasticity.

Authors:  Nicolas Skrypek; Steven Goossens; Eva De Smedt; Niels Vandamme; Geert Berx
Journal:  Trends Genet       Date:  2017-09-14       Impact factor: 11.639

3.  Twist induces epithelial-mesenchymal transition and cell motility in breast cancer via ITGB1-FAK/ILK signaling axis and its associated downstream network.

Authors:  Jiajia Yang; Yixuan Hou; Mingli Zhou; Siyang Wen; Jian Zhou; Liyun Xu; Xi Tang; Yan-E Du; Ping Hu; Manran Liu
Journal:  Int J Biochem Cell Biol       Date:  2015-12-13       Impact factor: 5.085

4.  Tumor suppressive microRNA-133a regulates novel molecular networks in lung squamous cell carcinoma.

Authors:  Yasumitsu Moriya; Nijiro Nohata; Takashi Kinoshita; Muradil Mutallip; Tatsuro Okamoto; Shigetoshi Yoshida; Makoto Suzuki; Ichiro Yoshino; Naohiko Seki
Journal:  J Hum Genet       Date:  2011-11-17       Impact factor: 3.172

5.  The cytoskeleton regulatory protein hMena (ENAH) is overexpressed in human benign breast lesions with high risk of transformation and human epidermal growth factor receptor-2-positive/hormonal receptor-negative tumors.

Authors:  Francesca Di Modugno; Marcella Mottolese; Anna Di Benedetto; Andrea Conidi; Flavia Novelli; Letizia Perracchio; Irene Venturo; Claudio Botti; Elke Jager; Angela Santoni; Pier Giorgio Natali; Paola Nisticò
Journal:  Clin Cancer Res       Date:  2006-03-01       Impact factor: 12.531

6.  ALDH1 is a marker of normal and malignant human mammary stem cells and a predictor of poor clinical outcome.

Authors:  Christophe Ginestier; Min Hee Hur; Emmanuelle Charafe-Jauffret; Florence Monville; Julie Dutcher; Marty Brown; Jocelyne Jacquemier; Patrice Viens; Celina G Kleer; Suling Liu; Anne Schott; Dan Hayes; Daniel Birnbaum; Max S Wicha; Gabriela Dontu
Journal:  Cell Stem Cell       Date:  2007-11       Impact factor: 24.633

7.  Identification of the tumour transition states occurring during EMT.

Authors:  Ievgenia Pastushenko; Audrey Brisebarre; Alejandro Sifrim; Marco Fioramonti; Tatiana Revenco; Soufiane Boumahdi; Alexandra Van Keymeulen; Daniel Brown; Virginie Moers; Sophie Lemaire; Sarah De Clercq; Esmeralda Minguijón; Cédric Balsat; Youri Sokolow; Christine Dubois; Florian De Cock; Samuel Scozzaro; Federico Sopena; Angel Lanas; Nicky D'Haene; Isabelle Salmon; Jean-Christophe Marine; Thierry Voet; Panagiota A Sotiropoulou; Cédric Blanpain
Journal:  Nature       Date:  2018-04-18       Impact factor: 49.962

8.  Nuclear factor, erythroid 2-like 2-associated molecular signature predicts lung cancer survival.

Authors:  Zhongqing Qian; Tong Zhou; Christopher I Gurguis; Xiaoyan Xu; Qing Wen; Jingzhu Lv; Fang Fang; Louise Hecker; Anne E Cress; Viswanathan Natarajan; Jeffrey R Jacobson; Donna D Zhang; Joe G N Garcia; Ting Wang
Journal:  Sci Rep       Date:  2015-11-24       Impact factor: 4.379

Review 9.  Implications of the Hybrid Epithelial/Mesenchymal Phenotype in Metastasis.

Authors:  Mohit Kumar Jolly; Marcelo Boareto; Bin Huang; Dongya Jia; Mingyang Lu; Eshel Ben-Jacob; José N Onuchic; Herbert Levine
Journal:  Front Oncol       Date:  2015-07-20       Impact factor: 6.244

10.  Breast cancer stem cells transition between epithelial and mesenchymal states reflective of their normal counterparts.

Authors:  Suling Liu; Yang Cong; Dong Wang; Yu Sun; Lu Deng; Yajing Liu; Rachel Martin-Trevino; Li Shang; Sean P McDermott; Melissa D Landis; Suhyung Hong; April Adams; Rosemarie D'Angelo; Christophe Ginestier; Emmanuelle Charafe-Jauffret; Shawn G Clouthier; Daniel Birnbaum; Stephen T Wong; Ming Zhan; Jenny C Chang; Max S Wicha
Journal:  Stem Cell Reports       Date:  2013-12-27       Impact factor: 7.765

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  9 in total

Review 1.  Single-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasis.

Authors:  Junpu Wang; Chunlin Ou; Yingying Han; Dan Wang; Lushan Peng; Tao Huang; Xiaoyun He
Journal:  J Hematol Oncol       Date:  2022-05-12       Impact factor: 23.168

Review 2.  Single cell RNA sequencing for breast cancer: present and future.

Authors:  Lili Ren; Junyi Li; Chuhan Wang; Zheqi Lou; Shuangshu Gao; Lingyu Zhao; Shuoshuo Wang; Anita Chaulagain; Minghui Zhang; Xiaobo Li; Jing Tang
Journal:  Cell Death Discov       Date:  2021-05-14

3.  Cancer cell lines show high heritability for motility but not generation time.

Authors:  Anastasia V Wass; George Butler; Tiffany B Taylor; Philip R Dash; Louise J Johnson
Journal:  R Soc Open Sci       Date:  2020-04-15       Impact factor: 2.963

Review 4.  Single-cell RNA sequencing in cancer research.

Authors:  Yijie Zhang; Dan Wang; Miao Peng; Le Tang; Jiawei Ouyang; Fang Xiong; Can Guo; Yanyan Tang; Yujuan Zhou; Qianjin Liao; Xu Wu; Hui Wang; Jianjun Yu; Yong Li; Xiaoling Li; Guiyuan Li; Zhaoyang Zeng; Yixin Tan; Wei Xiong
Journal:  J Exp Clin Cancer Res       Date:  2021-03-01

5.  Lactate Metabolism in Breast Cancer Microenvironment: Contribution Focused on Associated Adipose Tissue and Obesity.

Authors:  Andjelika Kalezic; Mirjana Udicki; Biljana Srdic Galic; Marija Aleksic; Aleksandra Korac; Aleksandra Jankovic; Bato Korac
Journal:  Int J Mol Sci       Date:  2020-12-18       Impact factor: 5.923

Review 6.  Applications of single-cell sequencing in cancer research: progress and perspectives.

Authors:  Yalan Lei; Rong Tang; Jin Xu; Wei Wang; Bo Zhang; Jiang Liu; Xianjun Yu; Si Shi
Journal:  J Hematol Oncol       Date:  2021-06-09       Impact factor: 17.388

Review 7.  Microfluidics applications for high-throughput single cell sequencing.

Authors:  Wen-Min Zhou; Yan-Yan Yan; Qiao-Ru Guo; Hong Ji; Hui Wang; Tian-Tian Xu; Bolat Makabel; Christian Pilarsky; Gen He; Xi-Yong Yu; Jian-Ye Zhang
Journal:  J Nanobiotechnology       Date:  2021-10-11       Impact factor: 10.435

Review 8.  Cancer biology deciphered by single-cell transcriptomic sequencing.

Authors:  Yanmeng Li; Jianshi Jin; Fan Bai
Journal:  Protein Cell       Date:  2021-08-17       Impact factor: 14.870

9.  XGBoost-based and tumor-immune characterized gene signature for the prediction of metastatic status in breast cancer.

Authors:  Qingqing Li; Hui Yang; Peipei Wang; Xiaocen Liu; Kun Lv; Mingquan Ye
Journal:  J Transl Med       Date:  2022-04-18       Impact factor: 8.440

  9 in total

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