Single-cell barcode analysis provides a rapid readout of cellular signaling pathways in clinical specimens

[1]  anonymous,et al.  Comprehensive review , 2019 .

[2]  Dejan Juric,et al.  Phosphatidylinositol 3-Kinase α-Selective Inhibition With Alpelisib (BYL719) in PIK3CA-Altered Solid Tumors: Results From the First-in-Human Study. , 2018, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[3]  Andrej J. Savol,et al.  IRF3 and Type I Interferons Fuel a Fatal Response to Myocardial Infarction , 2017, Nature Medicine.

[4]  Kevin Petrecca,et al.  A Targetable EGFR-Dependent Tumor-Initiating Program in Breast Cancer. , 2017, Cell reports.

[5]  Michael J. T. Stubbington,et al.  Single-cell transcriptomics to explore the immune system in health and disease , 2017, Science.

[6]  R. Weissleder,et al.  High-Content Biopsies Facilitate Molecular Analyses and Do Not Increase Complication Rates in Patients With Advanced Solid Tumors. , 2017, JCO precision oncology.

[7]  Zenghui Wang,et al.  Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review , 2017, Neural Computation.

[8]  Vanessa M. Peterson,et al.  Multiplexed quantification of proteins and transcripts in single cells , 2017, Nature Biotechnology.

[9]  Maithreyan Srinivasan,et al.  Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer , 2017, Nature Communications.

[10]  Keisuke Kuida,et al.  A First-in-Human, Phase I, Dose-Escalation Study of TAK-117, a Selective PI3Kα Isoform Inhibitor, in Patients with Advanced Solid Malignancies , 2017, Clinical Cancer Research.

[11]  N. Hacohen,et al.  Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors , 2017, Science.

[12]  Sebastian Thrun,et al.  Dermatologist-level classification of skin cancer with deep neural networks , 2017, Nature.

[13]  K. Gelmon,et al.  Palbociclib and Letrozole in Advanced Breast Cancer. , 2016, The New England journal of medicine.

[14]  R. Weissleder,et al.  Computational imaging reveals mitochondrial morphology as a biomarker of cancer phenotype and drug response , 2016, Scientific Reports.

[15]  E. Winer,et al.  A Phase Ib Study of Alpelisib (BYL719), a PI3Kα-Specific Inhibitor, with Letrozole in ER+/HER2− Metastatic Breast Cancer , 2016, Clinical Cancer Research.

[16]  K. Cornille,et al.  Activation of IGF1R/p110β/AKT/mTOR confers resistance to α-specific PI3K inhibition , 2016, Breast Cancer Research.

[17]  Peter K. Sorger,et al.  Highly multiplexed imaging of single cells using a high-throughput cyclic immunofluorescence method , 2015, Nature Communications.

[18]  Obi L. Griffith,et al.  Convergent loss of PTEN leads to clinical resistance to a PI3Kα inhibitor , 2014, Nature.

[19]  Andrew Zisserman,et al.  Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[20]  C. Schnell,et al.  Targeting PI3K/mTOR Overcomes Resistance to HER2-Targeted Therapy Independent of Feedback Activation of AKT , 2014, Clinical Cancer Research.

[21]  C. Rommel,et al.  PI3K and cancer: lessons, challenges and opportunities , 2014, Nature Reviews Drug Discovery.

[22]  Ralph Weissleder,et al.  Cancer Cell Profiling by Barcoding Allows Multiplexed Protein Analysis in Fine-Needle Aspirates , 2014, Science Translational Medicine.

[23]  N. Rosen,et al.  mTORC1 Inhibition Is Required for Sensitivity to PI3K p110α Inhibitors in PIK3CA-Mutant Breast Cancer , 2013, Science Translational Medicine.

[24]  Qing Li,et al.  Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue , 2013, Proceedings of the National Academy of Sciences.

[25]  R. Weissleder,et al.  Single Cell Analysis of Drug Distribution by Intravital Imaging , 2013, PloS one.

[26]  Hakho Lee,et al.  Photocleavable DNA barcode-antibody conjugates allow sensitive and multiplexed protein analysis in single cells. , 2012, Journal of the American Chemical Society.

[27]  Hakho Lee,et al.  Micro-NMR for Rapid Molecular Analysis of Human Tumor Samples , 2011, Science Translational Medicine.

[28]  Li Zhao,et al.  Phosphatidylinositol 3-kinase: the oncoprotein. , 2010, Current topics in microbiology and immunology.

[29]  Alex Krizhevsky,et al.  Learning Multiple Layers of Features from Tiny Images , 2009 .

[30]  L. Cantley,et al.  PI3K pathway alterations in cancer: variations on a theme , 2008, Oncogene.

[31]  W. Schubert,et al.  Analyzing proteome topology and function by automated multidimensional fluorescence microscopy , 2006, Nature Biotechnology.

[32]  P. Chiaravelli.  Variations on a theme. , 1990, Journal of the American Dental Association.