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Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

http://www.wikidata.org/entity/Q37094024

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The Role of TAM Family Receptors in Immune Cell Function: Implications for Cancer Therapy Technological considerations for genome-guided diagnosis and management of cancer Writ large: Genomic dissection of the effect of cellular environment on immune response The Receptor Tyrosine Kinase AXL in Cancer Progression Single-Cell Transcriptomics Bioinformatics and Computational Challenges Reconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunities Implementing Genome-Driven Oncology.Massively parallel digital transcriptional profiling of single cells Measuring intratumor heterogeneity by network entropy using RNA-seq data.Bone-in-culture array as a platform to model early-stage bone metastases and discover anti-metastasis therapies Transcriptional dissection of melanoma identifies a high-risk subtype underlying TP53 family genes and epigenome deregulation An Immune Atlas of Clear Cell Renal Cell Carcinoma.Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer.Indicators of responsiveness to immune checkpoint inhibitors Cancer heterogeneity is not compatible with one unique cancer cell metabolic map Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptome Reconstructing cell cycle pseudo time-series via single-cell transcriptome data.Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput.Co-existence of BRAF and NRAS driver mutations in the same melanoma cells results in heterogeneity of targeted therapy resistance.Underexpression of Specific Interferon Genes Is Associated with Poor Prognosis of Melanoma Dynamic proteomics reveals bimodal protein dynamics of cancer cells in response to HSP90 inhibitor Data resources for the identification and interpretation of actionable mutations by clinicians.Identification of innate lymphoid cells in single-cell RNA-Seq data.Interleukin-like EMT inducer regulates partial phenotype switching in MITF-low melanoma cell lines Contribution of systemic and somatic factors to clinical response and resistance to PD-L1 blockade in urothelial cancer: An exploratory multi-omic analysis.Personalized Prediction of Proliferation Rates and Metabolic Liabilities in Cancer Biopsies.Adaptive resistance of melanoma cells to RAF inhibition via reversible induction of a slowly dividing de-differentiated state.Studying hematopoiesis using single-cell technologies.Translation reprogramming is an evolutionarily conserved driver of phenotypic plasticity and therapeutic resistance in melanoma.A feature selection method based on multiple kernel learning with expression profiles of different types PRODUCTION OF A PRELIMINARY QUALITY CONTROL PIPELINE FOR SINGLE NUCLEI RNA-SEQ AND ITS APPLICATION IN THE ANALYSIS OF CELL TYPE DIVERSITY OF POST-MORTEM HUMAN BRAIN NEOCORTEX.Increased gene expression noise in human cancers is correlated with low p53 and immune activities as well as late stage cancer.Mapping heterogeneity in patient-derived melanoma cultures by single-cell RNA-seq.Massively parallel single-nucleus RNA-seq with DroNc-seq.Nanogrid single-nucleus RNA sequencing reveals phenotypic diversity in breast cancer.Decomposing Oncogenic Transcriptional Signatures to Generate Maps of Divergent Cellular States.Extracting Intercellular Signaling Network of Cancer Tissues using Ligand-Receptor Expression Patterns from Whole-tumor and Single-cell Transcriptomes.A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications.Comprehensive single-cell transcriptional profiling of a multicellular organism.Loss of the chromatin modifier Kdm2aa causes BrafV600E-independent spontaneous melanoma in zebrafish.

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Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

http://www.wikidata.org/entity/Q37094024

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on April 2016

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

@en

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.

@nl

type

label

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

@en

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.

@nl

prefLabel

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

@en

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.

@nl

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SCIENCE.AAD0501

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Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

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Aleksandr Y Andreev

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Aleth Gaillard

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Alex S Genshaft

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Alexandra-Chloé Villani

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Asaf Rotem

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Benjamin Izar

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Carly G K Ziegler

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Charles H Yoon

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Christine Lian

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Christopher Rodman

http://www.w3.org/2001/XMLSchema#string

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Fast and accurate short read alignment with Burrows-Wheeler transform

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189-196

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P407

P433

6282

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P478

352

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P577

2016-04-01T00:00:00Z

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27124452

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4944528

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