Publications by authors named "Sten Linnarsson"

Article Synopsis
  • Single-cell and single-nucleus genomic techniques offer unbiased insights into cellular diversity and function, especially in the nervous system.
  • The concept of a molecular cell atlas is explored, emphasizing how single-cell omics can help formulate hypotheses about cell changes during development and disease.
  • Key considerations for study design, implementation, and awareness of potential limitations and challenges are discussed to improve research outcomes.
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The Human Cell Atlas (HCA) is a global partnership "to create comprehensive reference maps of all human cells-the fundamental units of life - as a basis for both understanding human health and diagnosing, monitoring, and treating disease." ( https://www.humancellatlas.

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Article Synopsis
  • The study focuses on the lung's development during the first trimester of human pregnancy, emphasizing its importance for life on land.
  • It utilizes advanced imaging and analysis techniques to map the protein-level organization of lung cells over various stages of gestation, examining more than 2 million cells.
  • The findings offer a detailed resource on the types of cells in the developing lung as well as their growth and spatial patterns, serving as a foundation for future research on respiratory health.
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  • Diffuse hemispheric gliomas, specifically H3G34R/V-mutant, are aggressive brain tumors with no current targeted therapies and come from neural precursor cells.
  • Researchers found that these tumors display developmental patterns similar to healthy brain interneurons and identified key genes that these tumor cells depend on, especially CDK6.
  • Targeting CDK6 with inhibitors showed promising results in reducing tumor growth and improving survival in experimental models, with one patient showing a significant response to treatment.
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Rare multipotent stem cells replenish millions of blood cells per second through a time-consuming process, passing through multiple stages of increasingly lineage-restricted progenitors. Although insults to the blood-forming system highlight the need for more rapid blood replenishment from stem cells, established models of hematopoiesis implicate only one mandatory differentiation pathway for each blood cell lineage. Here, we establish a nonhierarchical relationship between distinct stem cells that replenish all blood cell lineages and stem cells that replenish almost exclusively platelets, a lineage essential for hemostasis and with important roles in both the innate and adaptive immune systems.

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The human brain develops through a tightly organized cascade of patterning events, induced by transcription factor expression and changes in chromatin accessibility. Although gene expression across the developing brain has been described at single-cell resolution, similar atlases of chromatin accessibility have been primarily focused on the forebrain. Here we describe chromatin accessibility and paired gene expression across the entire developing human brain during the first trimester (6-13 weeks after conception).

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Delineating the gene-regulatory programs underlying complex cell types is fundamental for understanding brain function in health and disease. Here, we comprehensively examined human brain cell epigenomes by probing DNA methylation and chromatin conformation at single-cell resolution in 517 thousand cells (399 thousand neurons and 118 thousand non-neurons) from 46 regions of three adult male brains. We identified 188 cell types and characterized their molecular signatures.

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The human brain directs complex behaviors, ranging from fine motor skills to abstract intelligence, but the diversity of cell types that support these skills has not been fully described. In this work, we used single-nucleus RNA sequencing to systematically survey cells across the entire adult human brain. We sampled more than three million nuclei from approximately 100 dissections across the forebrain, midbrain, and hindbrain in three postmortem donors.

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Article Synopsis
  • The study investigates the cellular structure of the human cortex to define different cortical areas using single-cell transcriptomics.
  • Researchers performed RNA-sequencing across eight cortical areas and found consistent cellular makeup, but notable variations in the proportion of excitatory neuron subclasses, indicating differences in connectivity.
  • Findings include unique features in the primary visual cortex, such as changes in the ratio of excitatory to inhibitory neurons and an expansion of excitatory neurons in layer 4, suggesting a need for refined understanding of human cortical organization.
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The adult human brain comprises more than a thousand distinct neuronal and glial cell types, a diversity that emerges during early brain development. To reveal the precise sequence of events during early brain development, we used single-cell RNA sequencing and spatial transcriptomics and uncovered cell states and trajectories in human brains at 5 to 14 postconceptional weeks (pcw). We identified 12 major classes that are organized as ~600 distinct cell states, which map to precise spatial anatomical domains at 5 pcw.

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Recent advances in single-cell transcriptomics have illuminated the diverse neuronal and glial cell types within the human brain. However, the regulatory programs governing cell identity and function remain unclear. Using a single-nucleus assay for transposase-accessible chromatin using sequencing (snATAC-seq), we explored open chromatin landscapes across 1.

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The cognitive abilities of humans are distinctive among primates, but their molecular and cellular substrates are poorly understood. We used comparative single-nucleus transcriptomics to analyze samples of the middle temporal gyrus (MTG) from adult humans, chimpanzees, gorillas, rhesus macaques, and common marmosets to understand human-specific features of the neocortex. Human, chimpanzee, and gorilla MTG showed highly similar cell-type composition and laminar organization as well as a large shift in proportions of deep-layer intratelencephalic-projecting neurons compared with macaque and marmoset MTG.

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Although cardinal cortical interneuron identity is established upon cell-cycle exit, it remains unclear whether specific interneuron subtypes are pre-established, and if so, how their identity is maintained prior to circuit integration. We conditionally removed Sox6 (Sox6-cKO) in migrating somatostatin (Sst) interneurons and assessed the effects on their mature identity. In adolescent mice, five of eight molecular Sst subtypes were nearly absent in the Sox6-cKO cortex without a reduction in cell number.

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The spatiotemporal regulation of cell fate specification in the human developing spinal cord remains largely unknown. In this study, by performing integrated analysis of single-cell and spatial multi-omics data, we used 16 prenatal human samples to create a comprehensive developmental cell atlas of the spinal cord during post-conceptional weeks 5-12. This revealed how the cell fate commitment of neural progenitor cells and their spatial positioning are spatiotemporally regulated by specific gene sets.

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The lung contains numerous specialized cell types with distinct roles in tissue function and integrity. To clarify the origins and mechanisms generating cell heterogeneity, we created a comprehensive topographic atlas of early human lung development. Here we report 83 cell states and several spatially resolved developmental trajectories and predict cell interactions within defined tissue niches.

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Stem cell technologies provide new opportunities for modeling cells in health and disease and for regenerative medicine. In both cases, developmental knowledge and defining the molecular properties and quality of the cell types is essential. In this study, we identify developmental factors important for the differentiation of human embryonic stem cells (hESCs) into functional midbrain dopaminergic (mDA) neurons.

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Methods to spatially profile the transcriptome are dominated by a trade-off between resolution and throughput. Here we develop a method named Enhanced ELectric Fluorescence in situ Hybridization (EEL FISH) that can rapidly process large tissue samples without compromising spatial resolution. By electrophoretically transferring RNA from a tissue section onto a capture surface, EEL speeds up data acquisition by reducing the amount of imaging needed, while ensuring that RNA molecules move straight down toward the surface, preserving single-cell resolution.

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Understanding human brain development is of fundamental interest but is also very challenging. Single-cell RNA-sequencing studies in mammals have revealed that brain development is a highly dynamic process with tremendous, previously concealed, cellular heterogeneity. This Spotlight discusses key insights from these studies and their implications for experimental models.

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Oligodendrogenesis in the human central nervous system has been observed mainly at the second trimester of gestation, a much later developmental stage compared to oligodendrogenesis in mice. Here, we characterize the transcriptomic neural diversity in the human forebrain at post-conception weeks (PCW) 8-10. Using single-cell RNA sequencing, we find evidence of the emergence of a first wave of oligodendrocyte lineage cells as early as PCW 8, which we also confirm at the epigenomic level through the use of single-cell ATAC-seq.

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Recent development in inferring RNA velocity from single-cell RNA-seq opens up exciting new vista into developmental lineage and cellular dynamics. However, the estimated velocity only gives a snapshot of how the transcriptome instantaneously changes in individual cells, and it does not provide quantitative predictions and insights about the whole system. In this work, we develop RNA-ODE, a principled computational framework that extends RNA velocity to quantify systems level dynamics and improve single-cell data analysis.

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Single-cell technologies measure unique cellular signatures but are typically limited to a single modality. Computational approaches allow the fusion of diverse single-cell data types, but their efficacy is difficult to validate in the absence of authentic multi-omic measurements. To comprehensively assess the molecular phenotypes of single cells, we devised single-nucleus methylcytosine, chromatin accessibility, and transcriptome sequencing (snmCAT-seq) and applied it to postmortem human frontal cortex tissue.

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The primary motor cortex (M1) is essential for voluntary fine-motor control and is functionally conserved across mammals. Here, using high-throughput transcriptomic and epigenomic profiling of more than 450,000 single nuclei in humans, marmoset monkeys and mice, we demonstrate a broadly conserved cellular makeup of this region, with similarities that mirror evolutionary distance and are consistent between the transcriptome and epigenome. The core conserved molecular identities of neuronal and non-neuronal cell types allow us to generate a cross-species consensus classification of cell types, and to infer conserved properties of cell types across species.

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Article Synopsis
  • The Human Developmental Cell Atlas (HDCA) initiative aims to create a comprehensive reference map of human cells throughout development to enhance understanding of various health aspects like organ growth, genetic mutations, and diseases.
  • It seeks to unite efforts from a growing community of scientists, similar to the Human Genome Project, by using advanced technologies to address challenges in mapping human development.
  • The initiative has already achieved early milestones, utilizing human stem-cell cultures, organoids, and animal models, particularly for difficult-to-obtain prenatal tissues, and provides a roadmap for completing the atlas.
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The mammalian brain develops through a complex interplay of spatial cues generated by diffusible morphogens, cell-cell interactions and intrinsic genetic programs that result in probably more than a thousand distinct cell types. A complete understanding of this process requires a systematic characterization of cell states over the entire spatiotemporal range of brain development. The ability of single-cell RNA sequencing and spatial transcriptomics to reveal the molecular heterogeneity of complex tissues has therefore been particularly powerful in the nervous system.

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