Single-cell analyses of transcriptional heterogeneity during drug tolerance transition in cancer cells by RNA sequencing. - Wikidata - awgldk - TriplyDB

Single-cell analyses of transcriptional heterogeneity during drug tolerance transition in cancer cells by RNA sequencing.

Single-cell analyses of transcriptional heterogeneity during drug tolerance transition in cancer cells by RNA sequencing.

http://www.wikidata.org/entity/Q34480926

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Design and computational analysis of single-cell RNA-sequencing experiments 4D nucleomes in single cells: what can computational modeling reveal about spatial chromatin conformation?Microtubule-Binding Proteins as Promising Biomarkers of Paclitaxel Sensitivity in Cancer Chemotherapy Application of single-cell genomics in cancer: promise and challenges Predicting Carriers of Ongoing Selective Sweeps without Knowledge of the Favored Allele Colorectal Cancer Classification and Cell Heterogeneity: A Systems Oncology Approach Single-cell states versus single-cell atlases - two classes of heterogeneity that differ in meaning and method Vertical flow array chips reliably identify cell types from single-cell mRNA sequencing experiments.Massively parallel digital transcriptional profiling of single cells Single-cell sequencing and tumorigenesis: improved understanding of tumor evolution and metastasis.Magnetic levitation of single cells RNA-Seq Reveals the Angiogenesis Diversity between the Fetal and Adults Bone Mesenchyme Stem Cell.Genomic Characterization and Comparison of Multi-Regional and Pooled Tumor Biopsy Specimens.Developing multi-target therapeutics to fine-tune the evolutionary dynamics of the cancer ecosystem.HRP-3 protects the hepatoma cells from glucose deprivation-induced apoptosis.Variation is function: Are single cell differences functionally important?: Testing the hypothesis that single cell variation is required for aggregate function Intratumoral Heterogeneity of the Epigenome.Application of single-cell RNA sequencing in optimizing a combinatorial therapeutic strategy in metastatic renal cell carcinoma.Single-cell intracellular nano-pH probes.A statistical approach for identifying differential distributions in single-cell RNA-seq experiments.Abseq: Ultrahigh-throughput single cell protein profiling with droplet microfluidic barcoding.A mine is a terrible thing to waste: high content, single cell technologies for comprehensive immune analysis.Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer.Single-cell profiling approaches to probing tumor heterogeneity.The size-speed-force relationship governs migratory cell response to tumorigenic factors.Deciphering intratumor heterogeneity using cancer genome analysis.Knockdown of Rad9A enhanced DNA damage induced by trichostatin A in esophageal cancer cells.Organelles - understanding noise and heterogeneity in cell biology at an intermediate scale.Overexpression of the human antigen R suppresses the immediate paradoxical proliferation of melanoma cell subpopulations in response to suboptimal BRAF inhibition.Targeting of apoptotic pathways by SMAC or BH3 mimetics distinctly sensitizes paclitaxel-resistant triple negative breast cancer cells.Controlling for Confounding Effects in Single Cell RNA Sequencing Studies Using both Control and Target Genes Phenotypic drug profiling in droplet microfluidics for better targeting of drug-resistant tumors.Single cell transcriptomics of noncoding RNAs and their cell-specificity.The impact of non-genetic heterogeneity on cancer cell death.The Genetic/Non-genetic Duality of Drug 'Resistance' in Cancer.Oligonucleotide modifications enhance probe stability for single cell transcriptome in vivo analysis (TIVA).Nanopipettes as Monitoring Probes for the Single Living Cell: State of the Art and Future Directions in Molecular Biology.VIPER: variability-preserving imputation for accurate gene expression recovery in single-cell RNA sequencing studies

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Single-cell analyses of transcriptional heterogeneity during drug tolerance transition in cancer cells by RNA sequencing.

http://www.wikidata.org/entity/Q34480926

description

2014 nî lūn-bûn

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2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

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2014 թվականի հոտեմբերին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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name

Single-cell analyses of transc ...... ancer cells by RNA sequencing.

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Single-cell analyses of transc ...... ancer cells by RNA sequencing.

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Single-cell analyses of transc ...... ancer cells by RNA sequencing.

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Single-cell analyses of transc ...... ancer cells by RNA sequencing.

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Single-cell analyses of transc ...... ancer cells by RNA sequencing.

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Single-cell analyses of transc ...... ancer cells by RNA sequencing.

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Single-cell analyses of transc ...... ancer cells by RNA sequencing.

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PNAS.1404656111

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Proceedings of the National Academy of Sciences of the United States of America

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Single-cell analyses of transc ...... cancer cells by RNA sequencing

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Amie J Radenbaugh

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Beverly M Emerson

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Fernando J Lopez-Diaz

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Hyunsung John Kim

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Mei-Chong Wendy Lee

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Muhammad Akram Tariq

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Nader Pourmand

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Shahid Yar Khan

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Yelena Dayn

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Quantitative phosphoproteomics reveals widespread full phosphorylation site occupancy during mitosis

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Exchange protein directly activated by cAMP (EPAC) interacts with the light chain (LC) 2 of MAP1A

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E4726-35

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scholarly article

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10.1073/PNAS.1404656111

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44

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111

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Charles J Vaske

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2014-10-22T00:00:00Z

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267331806

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25339441

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4226127

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