1. Deconstructing transcriptional heterogeneity in pluripotent stem cells.

    Nature 516(7529):56 (2014) PMID 25471879 PMCID PMC4256722

    Pluripotent stem cells (PSCs) are capable of dynamic interconversion between distinct substates; however, the regulatory circuits specifying these states and enabling transitions between them are not well understood. Here we set out to characterize transcriptional heterogeneity in mouse PSCs by ...
  2. Deconstructing transcriptional heterogeneity in pluripotent stem cells.

    Nature 516(7529):56 (2014) PMID 25471879 PMCID PMC4256722

    Pluripotent stem cells (PSCs) are capable of dynamic interconversion between distinct substates; however, the regulatory circuits specifying these states and enabling transitions between them are not well understood. Here we set out to characterize transcriptional heterogeneity in mouse PSCs by ...
  3. Deconstructing transcriptional heterogeneity in pluripotent stem cells.

    Nature 516(7529):56 (2014) PMID 25471879 PMCID PMC4256722

    Pluripotent stem cells (PSCs) are capable of dynamic interconversion between distinct substates; however, the regulatory circuits specifying these states and enabling transitions between them are not well understood. Here we set out to characterize transcriptional heterogeneity in mouse PSCs by ...
  4. Deconstructing transcriptional heterogeneity in pluripotent stem cells.

    Nature 516(7529):56 (2014) PMID 25471879 PMCID PMC4256722

    Pluripotent stem cells (PSCs) are capable of dynamic interconversion between distinct substates; however, the regulatory circuits specifying these states and enabling transitions between them are not well understood. Here we set out to characterize transcriptional heterogeneity in mouse PSCs by ...
  5. Deconstructing transcriptional heterogeneity in pluripotent stem cells.

    Nature 516(7529):56 (2014) PMID 25471879 PMCID PMC4256722

    Pluripotent stem cells (PSCs) are capable of dynamic interconversion between distinct substates; however, the regulatory circuits specifying these states and enabling transitions between them are not well understood. Here we set out to characterize transcriptional heterogeneity in mouse PSCs by ...
  6. Deconstructing transcriptional heterogeneity in pluripotent stem cells.

    Nature 516(7529):56 (2014) PMID 25471879 PMCID PMC4256722

    Pluripotent stem cells (PSCs) are capable of dynamic interconversion between distinct substates; however, the regulatory circuits specifying these states and enabling transitions between them are not well understood. Here we set out to characterize transcriptional heterogeneity in mouse PSCs by ...
  7. Deconstructing transcriptional heterogeneity in pluripotent stem cells.

    Nature 516(7529):56 (2014) PMID 25471879 PMCID PMC4256722

    Pluripotent stem cells (PSCs) are capable of dynamic interconversion between distinct substates; however, the regulatory circuits specifying these states and enabling transitions between them are not well understood. Here we set out to characterize transcriptional heterogeneity in mouse PSCs by ...
  8. Deconstructing transcriptional heterogeneity in pluripotent stem cells.

    Nature 516(7529):56 (2014) PMID 25471879 PMCID PMC4256722

    Pluripotent stem cells (PSCs) are capable of dynamic interconversion between distinct substates; however, the regulatory circuits specifying these states and enabling transitions between them are not well understood. Here we set out to characterize transcriptional heterogeneity in mouse PSCs by ...
  9. Somatic mutation as a mechanism of Wnt/β-catenin pathway activation in CLL.

    Blood 124(7):1089 (2014) PMID 24778153 PMCID PMC4133483

    One major goal of cancer genome sequencing is to identify key genes and pathways that drive tumor pathogenesis. Although many studies have identified candidate driver genes based on recurrence of mutations in individual genes, subsets of genes with nonrecurrent mutations may also be defined as p...
  10. Somatic mutation as a mechanism of Wnt/β-catenin pathway activation in CLL.

    Blood 124(7):1089 (2014) PMID 24778153 PMCID PMC4133483

    One major goal of cancer genome sequencing is to identify key genes and pathways that drive tumor pathogenesis. Although many studies have identified candidate driver genes based on recurrence of mutations in individual genes, subsets of genes with nonrecurrent mutations may also be defined as p...
  11. Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.

    Science 344(6190):1396 (2014) PMID 24925914 PMCID PMC4123637

    Human cancers are complex ecosystems composed of cells with distinct phenotypes, genotypes, and epigenetic states, but current models do not adequately reflect tumor composition in patients. We used single-cell RNA sequencing (RNA-seq) to profile 430 cells from five primary glioblastomas, which ...
  12. Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.

    Science 344(6190):1396 (2014) PMID 24925914 PMCID PMC4123637

    Human cancers are complex ecosystems composed of cells with distinct phenotypes, genotypes, and epigenetic states, but current models do not adequately reflect tumor composition in patients. We used single-cell RNA sequencing (RNA-seq) to profile 430 cells from five primary glioblastomas, which ...
  13. Single-cell RNA-seq reveals dynamic paracrine control of cellular variation.

    Nature 510(7505):363 (2014) PMID 24919153 PMCID PMC4193940

    High-throughput single-cell transcriptomics offers an unbiased approach for understanding the extent, basis and function of gene expression variation between seemingly identical cells. Here we sequence single-cell RNA-seq libraries prepared from over 1,700 primary mouse bone-marrow-derived dendr...
  14. Single-cell RNA-seq reveals dynamic paracrine control of cellular variation.

    Nature 510(7505):363 (2014) PMID 24919153 PMCID PMC4193940

    High-throughput single-cell transcriptomics offers an unbiased approach for understanding the extent, basis and function of gene expression variation between seemingly identical cells. Here we sequence single-cell RNA-seq libraries prepared from over 1,700 primary mouse bone-marrow-derived dendr...
  15. Single-cell RNA-seq reveals dynamic paracrine control of cellular variation.

    Nature 510(7505):363 (2014) PMID 24919153 PMCID PMC4193940

    High-throughput single-cell transcriptomics offers an unbiased approach for understanding the extent, basis and function of gene expression variation between seemingly identical cells. Here we sequence single-cell RNA-seq libraries prepared from over 1,700 primary mouse bone-marrow-derived dendr...
  16. Single-cell RNA-seq reveals dynamic paracrine control of cellular variation.

    Nature 510(7505):363 (2014) PMID 24919153 PMCID PMC4193940

    High-throughput single-cell transcriptomics offers an unbiased approach for understanding the extent, basis and function of gene expression variation between seemingly identical cells. Here we sequence single-cell RNA-seq libraries prepared from over 1,700 primary mouse bone-marrow-derived dendr...
  17. Heterogeneity in immune responses: from populations to single cells.

    Trends in Immunology 35(5):219 (2014) PMID 24746883 PMCID PMC4035247

    The mammalian immune system is tasked with protecting the host against a broad range of threats. Understanding how immune populations leverage cellular diversity to achieve this breadth and flexibility, particularly during dynamic processes such as differentiation and antigenic response, is a co...
  18. Heterogeneity in immune responses: from populations to single cells.

    Trends in Immunology 35(5):219 (2014) PMID 24746883 PMCID PMC4035247

    The mammalian immune system is tasked with protecting the host against a broad range of threats. Understanding how immune populations leverage cellular diversity to achieve this breadth and flexibility, particularly during dynamic processes such as differentiation and antigenic response, is a co...
  19. Heterogeneity in immune responses: from populations to single cells.

    Trends in Immunology 35(5):219 (2014) PMID 24746883 PMCID PMC4035247

    The mammalian immune system is tasked with protecting the host against a broad range of threats. Understanding how immune populations leverage cellular diversity to achieve this breadth and flexibility, particularly during dynamic processes such as differentiation and antigenic response, is a co...
  20. Heterogeneity in immune responses: from populations to single cells.

    Trends in Immunology 35(5):219 (2014) PMID 24746883 PMCID PMC4035247

    The mammalian immune system is tasked with protecting the host against a broad range of threats. Understanding how immune populations leverage cellular diversity to achieve this breadth and flexibility, particularly during dynamic processes such as differentiation and antigenic response, is a co...