Quantitative single-cell approaches to stem cell research.
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Quantitative lineage tracing strategies to resolve multipotency in tissue-specific stem cellsQuantifying intrinsic and extrinsic control of single-cell fates in cancer and stem/progenitor cell pedigrees with competing risks analysisAdvances in Zika Virus Research: Stem Cell Models, Challenges, and OpportunitiesThe European Hematology Association Roadmap for European Hematology Research: a consensus documentSingle-Cell Analysis in Cancer Genomics.Site-specific recombinatorics: in situ cellular barcoding with the Cre Lox systemSingle Cell RNA-Sequencing of Pluripotent States Unlocks Modular Transcriptional Variation.In situ single cell detection via microfluidic magnetic bead assay.Rewiring of the inferred protein interactome during blood development studied with the tool PPICompare.Hematopoiesis "awakens": Evolving technologies, the force behind them.Mechanisms of fate decision and lineage commitment during haematopoiesis.A BaSiC tool for background and shading correction of optical microscopy images.Understanding hematopoiesis from a single-cell standpoint.Computational methods for trajectory inference from single-cell transcriptomics.Unperturbed vs. post-transplantation hematopoiesis: both in vivo but different.Computational Tools for Stem Cell Biology.fastER: a user-friendly tool for ultrafast and robust cell segmentation in large-scale microscopy.Challenges in long-term imaging and quantification of single-cell dynamics.Understanding development and stem cells using single cell-based analyses of gene expression.Early myeloid lineage choice is not initiated by random PU.1 to GATA1 protein ratios.Dissecting Transcriptional Heterogeneity in Pluripotency: Single Cell Analysis of Mouse Embryonic Stem Cells.Nanog dynamics in single embryonic stem cells.Bioluminescence Microscopy as a Method to Measure Single Cell Androgen Receptor Activity Heterogeneous Responses to AntiandrogensChallenges and emerging directions in single-cell analysis.Heterogeneity and stochastic growth regulation of biliary epithelial cells dictate dynamic epithelial tissue remodelingLive Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations.A molecular roadmap for the emergence of early-embryonic-like cells in culture.Mapping the CLEC12A expression on myeloid progenitors in normal bone marrow; implications for understanding CLEC12A-related cancer stem cell biology.Software tools for single-cell tracking and quantification of cellular and molecular properties.Network plasticity of pluripotency transcription factors in embryonic stem cells.Single cell RNA sequencing of stem cell-derived retinal ganglion cells.Molecular transitions in early progenitors during human cord blood hematopoiesis.Single-cell analysis of the fate of c-kit-positive bone marrow cells.Lineage marker synchrony in hematopoietic genealogies refutes the PU.1/GATA1 toggle switch paradigm.
P2860
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P2860
Quantitative single-cell approaches to stem cell research.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年学术文章
@wuu
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
2014年學術文章
@zh
2014年學術文章
@zh-hant
name
Quantitative single-cell approaches to stem cell research.
@en
type
label
Quantitative single-cell approaches to stem cell research.
@en
prefLabel
Quantitative single-cell approaches to stem cell research.
@en
P1433
P1476
Quantitative single-cell approaches to stem cell research.
@en
P2093
Max Endele
P304
P356
10.1016/J.STEM.2014.10.015
P407
P577
2014-11-06T00:00:00Z