Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling
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Title
Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling
Authors
Keywords
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Journal
BIOESSAYS
Volume 36, Issue 4, Pages 419-426
Publisher
Wiley
Online
2014-01-28
DOI
10.1002/bies.201300102
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Note: Only part of the references are listed.- Hard-wired heterogeneity in blood stem cells revealed using a dynamic regulatory network model
- (2013) Nicola Bonzanni et al. BIOINFORMATICS
- Growth Factor Independence 1 Antagonizes a p53-Induced DNA Damage Response Pathway in Lymphoblastic Leukemia
- (2013) Cyrus Khandanpour et al. CANCER CELL
- Statistical Mechanics of Pluripotency
- (2013) Ben D. MacArthur et al. CELL
- Single-Cell Analysis Reveals that Expression of Nanog Is Biallelic and Equally Variable as that of Other Pluripotency Factors in Mouse ESCs
- (2013) Dina A. Faddah et al. Cell Stem Cell
- Mapping Cellular Hierarchy by Single-Cell Analysis of the Cell Surface Repertoire
- (2013) Guoji Guo et al. Cell Stem Cell
- Network link prediction by global silencing of indirect correlations
- (2013) Baruch Barzel et al. NATURE BIOTECHNOLOGY
- Network deconvolution as a general method to distinguish direct dependencies in networks
- (2013) Soheil Feizi et al. NATURE BIOTECHNOLOGY
- viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
- (2013) El-ad David Amir et al. NATURE BIOTECHNOLOGY
- Erratum: Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis
- (2013) Victoria Moignard et al. NATURE CELL BIOLOGY
- Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells
- (2013) Liying Yan et al. NATURE STRUCTURAL & MOLECULAR BIOLOGY
- Transcriptional Regulation of Lineage Commitment - A Stochastic Model of Cell Fate Decisions
- (2013) Jose Teles et al. PLoS Computational Biology
- Population transcriptomics with single-cell resolution: A new field made possible by microfluidics
- (2012) Charles Plessy et al. BIOESSAYS
- A novel approach for resolving differences in single-cell gene expression patterns from zygote to blastocyst
- (2012) F. Buettner et al. BIOINFORMATICS
- Single-Cell Expression Analyses during Cellular Reprogramming Reveal an Early Stochastic and a Late Hierarchic Phase
- (2012) Yosef Buganim et al. CELL
- Hematopoietic Stem Cell Heterogeneity Takes Center Stage
- (2012) Michael R. Copley et al. Cell Stem Cell
- Quantitative PCR Analysis of DNA, RNAs, and Proteins in the Same Single Cell
- (2012) A. Stahlberg et al. CLINICAL CHEMISTRY
- Investigating transcriptional states at single-cell-resolution
- (2012) Julia Tischler et al. CURRENT OPINION IN BIOTECHNOLOGY
- Microfluidic single cell analysis: from promise to practice
- (2012) Véronique Lecault et al. CURRENT OPINION IN CHEMICAL BIOLOGY
- Cytometry by Time-of-Flight Shows Combinatorial Cytokine Expression and Virus-Specific Cell Niches within a Continuum of CD8+ T Cell Phenotypes
- (2012) Evan W. Newell et al. IMMUNITY
- RT-qPCR work-flow for single-cell data analysis
- (2012) Anders Ståhlberg et al. METHODS
- Inferring rules of lineage commitment in haematopoiesis
- (2012) Cristina Pina et al. NATURE CELL BIOLOGY
- Nanog-dependent feedback loops regulate murine embryonic stem cell heterogeneity
- (2012) Ben D. MacArthur et al. NATURE CELL BIOLOGY
- Microfluidic single-cell real-time PCR for comparative analysis of gene expression patterns
- (2012) Veronica Sanchez-Freire et al. Nature Protocols
- A deep profiler's guide to cytometry
- (2012) Sean C. Bendall et al. TRENDS IN IMMUNOLOGY
- Establishing the stem cell state: insights from regulatory network analysis of blood stem cell development
- (2012) Judith Schütte et al. Wiley Interdisciplinary Reviews-Systems Biology and Medicine
- Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE
- (2011) Peng Qiu et al. NATURE BIOTECHNOLOGY
- Heritable GATA2 mutations associated with familial myelodysplastic syndrome and acute myeloid leukemia
- (2011) Christopher N Hahn et al. NATURE GENETICS
- Comprehensive qPCR profiling of gene expression in single neuronal cells
- (2011) Ami Citri et al. Nature Protocols
- Genome-Wide Analysis of Transcriptional Reprogramming in Mouse Models of Acute Myeloid Leukaemia
- (2011) Nicolas Bonadies et al. PLoS One
- An Information Theoretic, Microfluidic-Based Single Cell Analysis Permits Identification of Subpopulations among Putatively Homogeneous Stem Cells
- (2011) Jason P. Glotzbach et al. PLoS One
- High-throughput microfluidic single-cell RT-qPCR
- (2011) A. K. White et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
- (2011) S. C. Bendall et al. SCIENCE
- Reconstructing regulatory network transitions
- (2011) Jalean J. Petricka et al. TRENDS IN CELL BIOLOGY
- Hematopoietic Stem Cell Heterogeneity: Subtypes, Not Unpredictable Behavior
- (2010) Timm Schroeder Cell Stem Cell
- Single-cell gene profiling of planarian stem cells using fluorescent activated cell sorting and its “index sorting” function for stem cell research
- (2010) Tetsutaro Hayashi et al. DEVELOPMENT GROWTH & DIFFERENTIATION
- Resolution of Cell Fate Decisions Revealed by Single-Cell Gene Expression Analysis from Zygote to Blastocyst
- (2010) Guoji Guo et al. DEVELOPMENTAL CELL
- Gene regulatory networks governing haematopoietic stem cell development and identity
- (2010) John E. Pimanda et al. INTERNATIONAL JOURNAL OF DEVELOPMENTAL BIOLOGY
- Single-cell gene expression profiling using reverse transcription quantitative real-time PCR
- (2010) Anders Ståhlberg et al. METHODS
- Functional roles for noise in genetic circuits
- (2010) Avigdor Eldar et al. NATURE
- Defining cell populations with single-cell gene expression profiling: correlations and identification of astrocyte subpopulations
- (2010) Anders Ståhlberg et al. NUCLEIC ACIDS RESEARCH
- Modeling Reveals Bistability and Low-Pass Filtering in the Network Module Determining Blood Stem Cell Fate
- (2010) Jatin Narula et al. PLoS Computational Biology
- Prospective isolation and molecular characterization of hematopoietic stem cells with durable self-renewal potential
- (2009) D. G. Kent et al. BLOOD
- Stem Cell States, Fates, and the Rules of Attraction
- (2009) Tariq Enver et al. Cell Stem Cell
- Non-genetic heterogeneity of cells in development: more than just noise
- (2009) S. Huang DEVELOPMENT
- From genes to cells to tissues—modelling the haematopoietic system
- (2009) Samuel D. Foster et al. Molecular BioSystems
- Direct cell reprogramming is a stochastic process amenable to acceleration
- (2009) Jacob Hanna et al. NATURE
- mRNA-Seq whole-transcriptome analysis of a single cell
- (2009) Fuchou Tang et al. NATURE METHODS
- Nature, Nurture, or Chance: Stochastic Gene Expression and Its Consequences
- (2008) Arjun Raj et al. CELL
- Heterogeneity of Embryonic and Adult Stem Cells
- (2008) Thomas Graf et al. Cell Stem Cell
- Dynamic Equilibrium and Heterogeneity of Mouse Pluripotent Stem Cells with Distinct Functional and Epigenetic States
- (2008) Katsuhiko Hayashi et al. Cell Stem Cell
- Extreme Makeover: Converting One Cell into Another
- (2008) Qiao Zhou et al. Cell Stem Cell
- Identification and characterization of subpopulations in undifferentiated ES cell culture
- (2008) Y. Toyooka et al. DEVELOPMENT
- In vivo reprogramming of adult pancreatic exocrine cells to β-cells
- (2008) Qiao Zhou et al. NATURE
- Transcriptome-wide noise controls lineage choice in mammalian progenitor cells
- (2008) Hannah H. Chang et al. NATURE
- The ground state of embryonic stem cell self-renewal
- (2008) Qi-Long Ying et al. NATURE
- Integrated microfluidic bioprocessor for single-cell gene expression analysis
- (2008) N. M. Toriello et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Techniques for clustering gene expression data
- (2007) G. Kerr et al. COMPUTERS IN BIOLOGY AND MEDICINE
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