Simultaneous Multiplexed Imaging of mRNA and Proteins with Subcellular Resolution in Breast Cancer Tissue Samples by Mass Cytometry

Cell Systems ◽

10.1016/j.cels.2018.04.004 ◽

2018 ◽

Vol 6 (4) ◽

pp. 531 ◽

Author(s):

Daniel Schulz ◽

Vito Riccardo Tomaso Zanotelli ◽

Jana Raja Fischer ◽

Denis Schapiro ◽

Stefanie Engler ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Tissue ◽

Cancer Tissue ◽

Mass Cytometry ◽

Tissue Samples ◽

Multiplexed Imaging ◽

Subcellular Resolution

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Simultaneous Multiplexed Imaging of mRNA and Proteins with Subcellular Resolution in Breast Cancer Tissue Samples by Mass Cytometry

Cell Systems ◽

10.1016/j.cels.2017.12.001 ◽

2018 ◽

Vol 6 (1) ◽

pp. 25-36.e5 ◽

Author(s):

Daniel Schulz ◽

Vito Riccardo Tomaso Zanotelli ◽

Jana Raja Fischer ◽

Denis Schapiro ◽

Stefanie Engler ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Tissue ◽

Cancer Tissue ◽

Mass Cytometry ◽

Tissue Samples ◽

Multiplexed Imaging ◽

Subcellular Resolution

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Strategy for SRM-based Verification of Biomarker Candidates Discovered by iTRAQ Method in Limited Breast Cancer Tissue Samples

Journal of Proteome Research ◽

10.1021/pr300322q ◽

2012 ◽

Vol 11 (8) ◽

pp. 4201-4210 ◽

Author(s):

Satoshi Muraoka ◽

Hideaki Kume ◽

Shio Watanabe ◽

Jun Adachi ◽

Masayoshi Kuwano ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Tissue ◽

Cancer Tissue ◽

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Expression of matrix metalloproteinase (MMP-2) and extracellular matrix metalloproteinases inducer (EMMPRIN) in benign and advanced breast cancer tissue samples

Biochemistry (Moscow) Supplement Series B Biomedical Chemistry ◽

10.1134/s1990750807040105 ◽

2007 ◽

Vol 1 (4) ◽

pp. 348-352 ◽

Author(s):

H. Chandru ◽

A. C. Sharada ◽

S. Manjunath

Keyword(s):

Breast Cancer ◽

Extracellular Matrix ◽

Matrix Metalloproteinases ◽

Matrix Metalloproteinase ◽

Advanced Breast Cancer ◽

Breast Cancer Tissue ◽

Advanced Breast ◽

Cancer Tissue ◽

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Comparing paraffined and deparaffinized breast cancer tissue samples and an analysis of Raman spectroscopy and infrared methods

Infrared Physics & Technology ◽

10.1016/j.infrared.2016.02.006 ◽

2016 ◽

Vol 76 ◽

pp. 217-226 ◽

Author(s):

J. Depciuch ◽

E. Kaznowska ◽

K. Szmuc ◽

I. Zawlik ◽

M. Cholewa ◽

...

Keyword(s):

Breast Cancer ◽

Raman Spectroscopy ◽

Breast Cancer Tissue ◽

Cancer Tissue ◽

Tissue Samples ◽

Infrared Methods

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Abstract P1-07-03: Quantification of HER2 expression at the single cell level and HER2 intratumoral heterogeneity of breast cancer tissue samples using automated image analysis

10.1158/0008-5472.sabcs12-p1-07-03 ◽

2012 ◽

Author(s):

E Geretti ◽

V Paragas ◽

M Onsum ◽

A Kudla ◽

S Moulis ◽

...

Keyword(s):

Breast Cancer ◽

Image Analysis ◽

Single Cell ◽

Breast Cancer Tissue ◽

Automated Image Analysis ◽

Cancer Tissue ◽

Single Cell Level ◽

Her2 Expression ◽

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A Strategy for Large-Scale Phosphoproteomics and SRM-Based Validation of Human Breast Cancer Tissue Samples

Journal of Proteome Research ◽

10.1021/pr3005474 ◽

2012 ◽

Vol 11 (11) ◽

pp. 5311-5322 ◽

Author(s):

Ryohei Narumi ◽

Tatsuo Murakami ◽

Takahisa Kuga ◽

Jun Adachi ◽

Takashi Shiromizu ◽

...

Keyword(s):

Breast Cancer ◽

Human Breast Cancer ◽

Large Scale ◽

Breast Cancer Tissue ◽

Cancer Tissue ◽

Human Breast ◽

Human Breast Cancer Tissue ◽

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Abstract 3309: Identifying glycoproteins in ER+ and ER- human breast cancer tissue samples

10.1158/1538-7445.am10-3309 ◽

2010 ◽

Author(s):

Suzan Semaan ◽

Xu Eddy Wang ◽

R. Emmett ◽

Alan G. Marshall ◽

Qing-Xiang Amy Sang

Keyword(s):

Breast Cancer ◽

Human Breast Cancer ◽

Breast Cancer Tissue ◽

Cancer Tissue ◽

Human Breast ◽

Human Breast Cancer Tissue ◽

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Performance comparison of machine learning methods for prognosis of hormone receptor status in breast cancer tissue samples

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2012.12.005 ◽

2013 ◽

Vol 110 (3) ◽

pp. 298-307 ◽

Author(s):

Adem Kalinli ◽

Fatih Sarikoc ◽

Hulya Akgun ◽

Figen Ozturk

Keyword(s):

Breast Cancer ◽

Machine Learning ◽

Hormone Receptor ◽

Performance Comparison ◽

Hormone Receptor Status ◽

Breast Cancer Tissue ◽

Cancer Tissue ◽

Tissue Samples ◽

Receptor Status ◽

Machine Learning Methods

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Clinical Usefulness of a One-Tube Nested Reverse Transcription Quantitative Polymerase Chain Reaction Assay for Evaluating Human Epidermal Growth Factor Receptor 2 mRNA Overexpression in Formalin-Fixed and Paraffin-Embedded Breast Cancer Tissue Samples

Pathobiology ◽

10.1159/000447301 ◽

2016 ◽

Vol 84 (2) ◽

pp. 57-70 ◽

Author(s):

Hye-young Wang ◽

Sungwoo Ahn ◽

Sunyoung Park ◽

SeungIl Kim ◽

Hyeyoung Lee

Keyword(s):

Breast Cancer ◽

Quantitative Polymerase Chain Reaction ◽

Growth Factor Receptor ◽

Breast Cancer Tissue ◽

Cancer Tissue ◽

Chain Reaction ◽

Tissue Samples ◽

Epidermal Growth ◽

Polymerase Chain ◽

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Evaluation of a quantitative RT-PCR assay to detect HER2 mRNA overexpression for diagnosis and selection of trastuzumab therapy in breast cancer tissue samples

Experimental and Molecular Pathology ◽

10.1016/j.yexmp.2014.09.011 ◽

2014 ◽

Vol 97 (3) ◽

pp. 368-374

Author(s):

Hye-young Wang ◽

Sunghyun Kim ◽

Sangjung Park ◽

Seungil Kim ◽

Dongju Jung ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Tissue ◽

Cancer Tissue ◽

Rt Pcr ◽

Pcr Assay ◽

Tissue Samples ◽

Trastuzumab Therapy ◽

Her2 Mrna ◽

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