Publications by authors named "Laura Greenstreet"

Over a lifetime, hematopoietic stem cells (HSCs) adjust their lineage output to support age-aligned physiology. In model organisms, stereotypic waves of hematopoiesis have been observed corresponding to defined age-biased HSC hallmarks. However, how the properties of hematopoietic stem and progenitor cells change over the human lifespan remains unclear.

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T cells develop from hematopoietic progenitors in the thymus and protect against pathogens and cancer. However, the emergence of human T cell-competent blood progenitors and their subsequent specification to the T lineage have been challenging to capture in real time. Here, we leveraged a pluripotent stem cell differentiation system to understand the transcriptional dynamics and cell fate restriction events that underlie this critical developmental process.

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Altered regulatory interactions during development likely underlie a large fraction of phenotypic diversity within and between species, yet identifying specific evolutionary changes remains challenging. Analysis of single-cell developmental transcriptomes from multiple species provides a powerful framework for unbiased identification of evolutionary changes in developmental mechanisms. Here, we leverage a "natural experiment" in developmental evolution in sea urchins, where a major life history switch recently evolved in the lineage leading to Heliocidaris erythrogramma, precipitating extensive changes in early development.

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Article Synopsis
  • - The study explores how changes in regulatory mechanisms during development contribute to differences in physical traits (phenotypic diversity) between species, using single-cell RNA sequencing (scRNA-seq) to analyze early development in sea urchins.
  • - It focuses on a recent evolutionary shift in sea urchins' life history that led to significant changes in embryonic development patterns, highlighting differences in cell fate specification and signaling centers between derived and ancestral species.
  • - The findings indicate that while some developmental interactions are preserved in the evolved species, they may be delayed, and specific changes are correlated with differences in larval morphology, suggesting a link between development and evolutionary adaptations.
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Article Synopsis
  • - Single-cell sequencing offers detailed genomic insights but lacks the spatial context of cells; advancements in spatial transcriptomics and multi-omics technologies aim to bridge this gap by analyzing tissue molecular profiles.
  • - The article classifies current spatial genomics technologies into three categories: optical imaging, positional indexing, and mathematical cartography, while discussing their trade-offs, limitations, and potential synergies with single-cell methods.
  • - A proposed theoretical framework called DNA-GPS aims to enhance large-scale spatial genomics by integrating concepts from mathematical cartography and positional indexing, potentially allowing for 3D positioning of cells without optical measurements.
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Brassinosteroids are plant steroid hormones that regulate diverse processes, such as cell division and cell elongation, through gene regulatory networks that vary in space and time. By using time series single-cell RNA sequencing to profile brassinosteroid-responsive gene expression specific to different cell types and developmental stages of the root, we identified the elongating cortex as a site where brassinosteroids trigger a shift from proliferation to elongation associated with increased expression of cell wall-related genes. Our analysis revealed () and () as brassinosteroid-responsive transcription factors that regulate cortex cell elongation.

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In all multicellular organisms, transcriptional networks orchestrate organ development. The Arabidopsis root, with its simple structure and indeterminate growth, is an ideal model for investigating the spatiotemporal transcriptional signatures underlying developmental trajectories. To map gene expression dynamics across root cell types and developmental time, we built a comprehensive, organ-scale atlas at single-cell resolution.

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Understanding how cells change their identity and behaviour in living systems is an important question in many fields of biology. The problem of inferring cell trajectories from single-cell measurements has been a major topic in the single-cell analysis community, with different methods developed for equilibrium and non-equilibrium systems (e.g.

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Using scRNA-seq coupled with computational approaches, we studied transcriptional changes in cell states of sea urchin embryos during development to the larval stage. Eighteen closely spaced time points were taken during the first 24 h of development of Lytechinus variegatus (Lv). Developmental trajectories were constructed using Waddington-OT, a computational approach to 'stitch' together developmental time points.

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