Abstract 3484: Analysis ofin situexpression of hormone receptors and proliferation marker at a single cell level in breast cancer tissues

2016 ◽  
Author(s):  
Takayuki Ueno ◽  
Hirotsugu Isaka ◽  
Hiroki Itoh ◽  
Kaisuke Miyamoto ◽  
Manami Kitamura ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Single Cell ◽  
Hormone Receptors ◽  
Single Cell Level ◽  
Proliferation Marker ◽  
Cell Level ◽  
Cancer Tissues

scholarly journals Heterogeneity of PIK3CA mutational status at the single cell level in circulating tumor cells from metastatic breast cancer patients

2014 ◽  
Vol 9 (4) ◽  
pp. 749-757 ◽  
Author(s):  
Marta Pestrin ◽  
Francesca Salvianti ◽  
Francesca Galardi ◽  
Francesca De Luca ◽  
Natalie Turner ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Single Cell ◽  
Cancer Patients ◽  
Tumor Cells ◽  
Metastatic Breast ◽  
Single Cell Level ◽  
Breast Cancer Patients ◽  
Cell Level ◽  
Mutational Status

In vivo MRI of cancer cell fate at the single-cell level in a mouse model of breast cancer metastasis to the brain

2006 ◽  
Vol 56 (5) ◽  
pp. 1001-1010 ◽  
Author(s):  
Chris Heyn ◽  
John A. Ronald ◽  
Soha S. Ramadan ◽  
Jonatan A. Snir ◽  
Andrea M. Barry ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mouse Model ◽  
Single Cell ◽  
Cell Fate ◽  
Cancer Metastasis ◽  
Breast Cancer Metastasis ◽  
Single Cell Level ◽  
Cell Level ◽  
The Brain

Metabolic Discrimination of Breast Cancer Subtypes at the Single-Cell Level by Multiple Microextraction Coupled with Mass Spectrometry

2019 ◽  
Vol 91 (5) ◽  
pp. 3667-3674 ◽  
Author(s):  
Ruihua Wang ◽  
Hansen Zhao ◽  
Xiaochao Zhang ◽  
Xu Zhao ◽  
Zhe Song ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mass Spectrometry ◽  
Single Cell ◽  
Breast Cancer Subtypes ◽  
Single Cell Level ◽  
Cell Level ◽  
Cancer Subtypes

scholarly journals Gene Dosage Analysis on the Single-Cell Transcriptomes Linking Cotranslational Protein Targeting to Metastatic Triple-Negative Breast Cancer

2021 ◽  
Vol 14 (9) ◽  
pp. 918
Author(s):  
Yining Liu ◽  
Min Zhao
Keyword(s):  
Breast Cancer ◽  
Single Cell ◽  
Triple Negative Breast Cancer ◽  
Copy Number ◽  
Triple Negative ◽  
Protein Targeting ◽  
Gene Dosage ◽  
Functional Module ◽  
Single Cell Level ◽  
Cell Level

Many recent efforts have been put into the association between expression heterogeneity and different cell types and states using single-cell RNA transcriptome analysis. There is only limited understanding of gene dosage effects for the genetic heterogeneity at the single-cell level. By focusing on concordant copy number variation (CNV) and expression, we presented a computational framework to explore dosage effect for aggressive metastatic triple-negative breast cancer (TNBC) at the single-cell level. In practice, we collected CNV and single-cell expression data from the same patients with independent technologies. By focusing on 47,198 consistent copy number gains (CNG) and gene up-regulation from 1145 single cells, ribosome proteins with important roles in protein targeting were enriched. Independent validation in another metastatic TNBC dataset further prioritized signal recognition particle-dependent protein targeting as the top functional module. More interesting, the increased ribosome gene copies in TNBC may associate with their enhanced stemness and metastatic potential. Indeed, the prioritization of a well-upregulated functional module confirmed by high copy numbers at the single-cell level and contributing to patient survival may indicate the possibility of targeted therapy based on ribosome proteins for TNBC.

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