1
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Tresenrider A, Hooper M, Todd L, Kierney F, Blasdel N, Trapnell C, Reh TA. A multiplexed, single-cell sequencing screen identifies compounds that increase neurogenic reprogramming of murine Muller glia. bioRxiv 2024:2023.09.26.559569. [PMID: 37808650 PMCID: PMC10557658 DOI: 10.1101/2023.09.26.559569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Retinal degeneration in mammals causes permanent loss of vision, due to an inability to regenerate naturally. Some non-mammalian vertebrates show robust regeneration, via Muller glia (MG). We have recently made significant progress in stimulating adult mouse MG to regenerate functional neurons by transgenic expression of the proneural transcription factor Ascl1. While these results showed that MG can serve as an endogenous source of neuronal replacement, the efficacy of this process is limited. With the goal of improving this in mammals, we designed a small molecule screen using sci-Plex, a method to multiplex up to thousands of single nucleus RNA-seq conditions into a single experiment. We used this technology to screen a library of 92 compounds, identified, and validated two that promote neurogenesis in vivo. Our results demonstrate that high-throughput single-cell molecular profiling can substantially improve the discovery process for molecules and pathways that can stimulate neural regeneration and further demonstrate the potential for this approach to restore vision in patients with retinal disease.
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Affiliation(s)
- Amy Tresenrider
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Marcus Hooper
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Levi Todd
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Faith Kierney
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Nicolai Blasdel
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Brotman-Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA 98195, USA
| | - Thomas A. Reh
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
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2
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Mozin E, Massouridès E, Mournetas V, Lièvre C, Bourdon A, Jackson DL, Packer JS, Seong J, Trapnell C, Le Guiner C, Adjali O, Pinset C, Mack DL, Dupont JB. Dystrophin deficiency impairs cell junction formation during embryonic myogenesis. bioRxiv 2024:2023.12.05.569919. [PMID: 38106055 PMCID: PMC10723310 DOI: 10.1101/2023.12.05.569919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Mutations in the DMD gene lead to Duchenne muscular dystrophy, a severe X-linked neuromuscular disorder that manifests itself as young boys acquire motor functions. DMD is typically diagnosed at 2 to 4 years of age, but the absence of dystrophin negatively impacts muscle structure and function before overt symptoms appear in patients, which poses a serious challenge in the optimization of standards of care. In this report, we investigated the early consequences of dystrophin deficiency during skeletal muscle development. We used single-cell transcriptome profiling to characterize the myogenic trajectory of human pluripotent stem cells and showed that DMD cells bifurcate to an alternative branch when they reach the somite stage. Here, dystrophin deficiency was linked to marked dysregulations of cell junction protein families involved in the cell state transitions characteristic of embryonic somitogenesis. Altogether, this work demonstrates that in vitro, dystrophin deficiency has deleterious effects on cell-cell communication during myogenic development, which should be considered in future therapeutic strategies for DMD.
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Affiliation(s)
- Elise Mozin
- Nantes Université, CHU Nantes, INSERM, TARGET, F-44000 Nantes, France
| | | | | | - Clémence Lièvre
- Nantes Université, CHU Nantes, INSERM, TARGET, F-44000 Nantes, France
| | - Audrey Bourdon
- Nantes Université, CHU Nantes, INSERM, TARGET, F-44000 Nantes, France
| | - Dana L Jackson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA
| | - Jonathan S Packer
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA
| | - Juyoung Seong
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, South Korea
- Institute for Stem Cell and Regenerative Medicine, Department of Rehabilitation Medicine, University of Washington, Seattle, WA 98109, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA
| | | | - Oumeya Adjali
- Nantes Université, CHU Nantes, INSERM, TARGET, F-44000 Nantes, France
| | - Christian Pinset
- Centre d’Etude des Cellules Souches, I-Stem, AFM, F-91100 Corbeil-Essonnes, France
| | - David L Mack
- Institute for Stem Cell and Regenerative Medicine, Department of Rehabilitation Medicine, University of Washington, Seattle, WA 98109, USA
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3
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McFaline-Figueroa JL, Srivatsan S, Hill AJ, Gasperini M, Jackson DL, Saunders L, Domcke S, Regalado SG, Lazarchuck P, Alvarez S, Monnat RJ, Shendure J, Trapnell C. Multiplex single-cell chemical genomics reveals the kinase dependence of the response to targeted therapy. Cell Genom 2024; 4:100487. [PMID: 38278156 PMCID: PMC10879025 DOI: 10.1016/j.xgen.2023.100487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 09/26/2023] [Accepted: 12/15/2023] [Indexed: 01/28/2024]
Abstract
Chemical genetic screens are a powerful tool for exploring how cancer cells' response to drugs is shaped by their mutations, yet they lack a molecular view of the contribution of individual genes to the response to exposure. Here, we present sci-Plex-Gene-by-Environment (sci-Plex-GxE), a platform for combined single-cell genetic and chemical screening at scale. We highlight the advantages of large-scale, unbiased screening by defining the contribution of each of 522 human kinases to the response of glioblastoma to different drugs designed to abrogate signaling from the receptor tyrosine kinase pathway. In total, we probed 14,121 gene-by-environment combinations across 1,052,205 single-cell transcriptomes. We identify an expression signature characteristic of compensatory adaptive signaling regulated in a MEK/MAPK-dependent manner. Further analyses aimed at preventing adaptation revealed promising combination therapies, including dual MEK and CDC7/CDK9 or nuclear factor κB (NF-κB) inhibitors, as potent means of preventing transcriptional adaptation of glioblastoma to targeted therapy.
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Affiliation(s)
- José L McFaline-Figueroa
- Department of Biomedical Engineering, Columbia University, New York, NY, USA; Department of Genome Sciences, University of Washington, Seattle, WA, USA.
| | - Sanjay Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA; Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Andrew J Hill
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Molly Gasperini
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Dana L Jackson
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Lauren Saunders
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Silvia Domcke
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Samuel G Regalado
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Paul Lazarchuck
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Sarai Alvarez
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Raymond J Monnat
- Department of Genome Sciences, University of Washington, Seattle, WA, USA; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA; Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA; Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
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4
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Qiu C, Martin BK, Welsh IC, Daza RM, Le TM, Huang X, Nichols EK, Taylor ML, Fulton O, O'Day DR, Gomes AR, Ilcisin S, Srivatsan S, Deng X, Disteche CM, Noble WS, Hamazaki N, Moens CB, Kimelman D, Cao J, Schier AF, Spielmann M, Murray SA, Trapnell C, Shendure J. A single-cell time-lapse of mouse prenatal development from gastrula to birth. Nature 2024; 626:1084-1093. [PMID: 38355799 PMCID: PMC10901739 DOI: 10.1038/s41586-024-07069-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 01/15/2024] [Indexed: 02/16/2024]
Abstract
The house mouse (Mus musculus) is an exceptional model system, combining genetic tractability with close evolutionary affinity to humans1,2. Mouse gestation lasts only 3 weeks, during which the genome orchestrates the astonishing transformation of a single-cell zygote into a free-living pup composed of more than 500 million cells. Here, to establish a global framework for exploring mammalian development, we applied optimized single-cell combinatorial indexing3 to profile the transcriptional states of 12.4 million nuclei from 83 embryos, precisely staged at 2- to 6-hour intervals spanning late gastrulation (embryonic day 8) to birth (postnatal day 0). From these data, we annotate hundreds of cell types and explore the ontogenesis of the posterior embryo during somitogenesis and of kidney, mesenchyme, retina and early neurons. We leverage the temporal resolution and sampling depth of these whole-embryo snapshots, together with published data4-8 from earlier timepoints, to construct a rooted tree of cell-type relationships that spans the entirety of prenatal development, from zygote to birth. Throughout this tree, we systematically nominate genes encoding transcription factors and other proteins as candidate drivers of the in vivo differentiation of hundreds of cell types. Remarkably, the most marked temporal shifts in cell states are observed within one hour of birth and presumably underlie the massive physiological adaptations that must accompany the successful transition of a mammalian fetus to life outside the womb.
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Affiliation(s)
- Chengxiang Qiu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
| | - Beth K Martin
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Riza M Daza
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Truc-Mai Le
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Xingfan Huang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | - Eva K Nichols
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Megan L Taylor
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Olivia Fulton
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Diana R O'Day
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | | | - Saskia Ilcisin
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Sanjay Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Xinxian Deng
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Christine M Disteche
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - William Stafford Noble
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | - Nobuhiko Hamazaki
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
| | - Cecilia B Moens
- Division of Basic Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - David Kimelman
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Junyue Cao
- Laboratory of Single-Cell Genomics and Population dynamics, The Rockefeller University, New York, NY, USA
| | - Alexander F Schier
- Biozentrum, University of Basel, Basel, Switzerland
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Malte Spielmann
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Human Genetics, University Hospitals Schleswig-Holstein, University of Lübeck and Kiel University, Lübeck, Kiel, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Hamburg, Lübeck, Kiel, Lübeck, Germany
| | | | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
- Howard Hughes Medical Institute, Seattle, WA, USA.
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.
- Seattle Hub for Synthetic Biology, Seattle, WA, USA.
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5
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Booth GT, Daza RM, Srivatsan SR, McFaline-Figueroa JL, Gladden RG, Mullen AC, Furlan SN, Shendure J, Trapnell C. High-capacity sample multiplexing for single cell chromatin accessibility profiling. BMC Genomics 2023; 24:737. [PMID: 38049719 PMCID: PMC10696879 DOI: 10.1186/s12864-023-09832-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 11/22/2023] [Indexed: 12/06/2023] Open
Abstract
Single-cell chromatin accessibility has emerged as a powerful means of understanding the epigenetic landscape of diverse tissues and cell types, but profiling cells from many independent specimens is challenging and costly. Here we describe a novel approach, sciPlex-ATAC-seq, which uses unmodified DNA oligos as sample-specific nuclear labels, enabling the concurrent profiling of chromatin accessibility within single nuclei from virtually unlimited specimens or experimental conditions. We first demonstrate our method with a chemical epigenomics screen, in which we identify drug-altered distal regulatory sites predictive of compound- and dose-dependent effects on transcription. We then analyze cell type-specific chromatin changes in PBMCs from multiple donors responding to synthetic and allogeneic immune stimulation. We quantify stimulation-altered immune cell compositions and isolate the unique effects of allogeneic stimulation on chromatin accessibility specific to T-lymphocytes. Finally, we observe that impaired global chromatin decondensation often coincides with chemical inhibition of allogeneic T-cell activation.
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Affiliation(s)
- Gregory T Booth
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Riza M Daza
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Sanjay R Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - José L McFaline-Figueroa
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Biomedical Engineering, Columbia University, New York City, NY, USA
| | - Rula Green Gladden
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Andrew C Mullen
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Scott N Furlan
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.
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6
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Dorrity MW, Saunders LM, Duran M, Srivatsan SR, Barkan E, Jackson DL, Sattler SM, Ewing B, Queitsch C, Shendure J, Raible DW, Kimelman D, Trapnell C. Proteostasis governs differential temperature sensitivity across embryonic cell types. Cell 2023; 186:5015-5027.e12. [PMID: 37949057 DOI: 10.1016/j.cell.2023.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 05/29/2023] [Accepted: 10/11/2023] [Indexed: 11/12/2023]
Abstract
Embryonic development is remarkably robust, but temperature stress can degrade its ability to generate animals with invariant anatomy. Phenotypes associated with environmental stress suggest that some cell types are more sensitive to stress than others, but the basis of this sensitivity is unknown. Here, we characterize hundreds of individual zebrafish embryos under temperature stress using whole-animal single-cell RNA sequencing (RNA-seq) to identify cell types and molecular programs driving phenotypic variability. We find that temperature perturbs the normal proportions and gene expression programs of numerous cell types and also introduces asynchrony in developmental timing. The notochord is particularly sensitive to temperature, which we map to a specialized cell type: sheath cells. These cells accumulate misfolded protein at elevated temperature, leading to a cascading structural failure of the notochord and anatomic defects. Our study demonstrates that whole-animal single-cell RNA-seq can identify mechanisms for developmental robustness and pinpoint cell types that constitute key failure points.
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Affiliation(s)
- Michael W Dorrity
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Structural and Computational Biology, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
| | - Lauren M Saunders
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Madeleine Duran
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Sanjay R Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Eliza Barkan
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Dana L Jackson
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Sydney M Sattler
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Brent Ewing
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Christine Queitsch
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA 98195, USA; Howard Hughes Medical Institute, Seattle, WA 98195, USA
| | - David W Raible
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - David Kimelman
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
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7
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Saunders LM, Srivatsan SR, Duran M, Dorrity MW, Ewing B, Linbo TH, Shendure J, Raible DW, Moens CB, Kimelman D, Trapnell C. Embryo-scale reverse genetics at single-cell resolution. Nature 2023; 623:782-791. [PMID: 37968389 PMCID: PMC10665197 DOI: 10.1038/s41586-023-06720-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 10/06/2023] [Indexed: 11/17/2023]
Abstract
The maturation of single-cell transcriptomic technologies has facilitated the generation of comprehensive cellular atlases from whole embryos1-4. A majority of these data, however, has been collected from wild-type embryos without an appreciation for the latent variation that is present in development. Here we present the 'zebrafish single-cell atlas of perturbed embryos': single-cell transcriptomic data from 1,812 individually resolved developing zebrafish embryos, encompassing 19 timepoints, 23 genetic perturbations and a total of 3.2 million cells. The high degree of replication in our study (eight or more embryos per condition) enables us to estimate the variance in cell type abundance organism-wide and to detect perturbation-dependent deviance in cell type composition relative to wild-type embryos. Our approach is sensitive to rare cell types, resolving developmental trajectories and genetic dependencies in the cranial ganglia neurons, a cell population that comprises less than 1% of the embryo. Additionally, time-series profiling of individual mutants identified a group of brachyury-independent cells with strikingly similar transcriptomes to notochord sheath cells, leading to new hypotheses about early origins of the skull. We anticipate that standardized collection of high-resolution, organism-scale single-cell data from large numbers of individual embryos will enable mapping of the genetic dependencies of zebrafish cell types, while also addressing longstanding challenges in developmental genetics, including the cellular and transcriptional plasticity underlying phenotypic diversity across individuals.
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Affiliation(s)
- Lauren M Saunders
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Sanjay R Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Madeleine Duran
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Michael W Dorrity
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Brent Ewing
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Tor H Linbo
- Department of Biological Structure, University of Washington, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - David W Raible
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Biological Structure, University of Washington, Seattle, WA, USA
| | | | - David Kimelman
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Department of Biochemistry, University of Washington, Seattle, WA, USA.
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA.
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.
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8
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Huang X, Henck J, Qiu C, Sreenivasan VKA, Balachandran S, Amarie OV, Hrabě de Angelis M, Behncke RY, Chan WL, Despang A, Dickel DE, Duran M, Feuchtinger A, Fuchs H, Gailus-Durner V, Haag N, Hägerling R, Hansmeier N, Hennig F, Marshall C, Rajderkar S, Ringel A, Robson M, Saunders LM, da Silva-Buttkus P, Spielmann N, Srivatsan SR, Ulferts S, Wittler L, Zhu Y, Kalscheuer VM, Ibrahim DM, Kurth I, Kornak U, Visel A, Pennacchio LA, Beier DR, Trapnell C, Cao J, Shendure J, Spielmann M. Single-cell, whole-embryo phenotyping of mammalian developmental disorders. Nature 2023; 623:772-781. [PMID: 37968388 PMCID: PMC10665194 DOI: 10.1038/s41586-023-06548-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 08/16/2023] [Indexed: 11/17/2023]
Abstract
Mouse models are a critical tool for studying human diseases, particularly developmental disorders1. However, conventional approaches for phenotyping may fail to detect subtle defects throughout the developing mouse2. Here we set out to establish single-cell RNA sequencing of the whole embryo as a scalable platform for the systematic phenotyping of mouse genetic models. We applied combinatorial indexing-based single-cell RNA sequencing3 to profile 101 embryos of 22 mutant and 4 wild-type genotypes at embryonic day 13.5, altogether profiling more than 1.6 million nuclei. The 22 mutants represent a range of anticipated phenotypic severities, from established multisystem disorders to deletions of individual regulatory regions4,5. We developed and applied several analytical frameworks for detecting differences in composition and/or gene expression across 52 cell types or trajectories. Some mutants exhibit changes in dozens of trajectories whereas others exhibit changes in only a few cell types. We also identify differences between widely used wild-type strains, compare phenotyping of gain- versus loss-of-function mutants and characterize deletions of topological associating domain boundaries. Notably, some changes are shared among mutants, suggesting that developmental pleiotropy might be 'decomposable' through further scaling of this approach. Overall, our findings show how single-cell profiling of whole embryos can enable the systematic molecular and cellular phenotypic characterization of mouse mutants with unprecedented breadth and resolution.
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Affiliation(s)
- Xingfan Huang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - Jana Henck
- Institute of Human Genetics, University Medical Center Schleswig-Holstein, University of Lübeck & Kiel University, Lübeck, Germany
- Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Chengxiang Qiu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Varun K A Sreenivasan
- Institute of Human Genetics, University Medical Center Schleswig-Holstein, University of Lübeck & Kiel University, Lübeck, Germany
| | - Saranya Balachandran
- Institute of Human Genetics, University Medical Center Schleswig-Holstein, University of Lübeck & Kiel University, Lübeck, Germany
| | - Oana V Amarie
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Martin Hrabě de Angelis
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Chair of Experimental Genetics, TUM School of Life Sciences, Technische Universität München, Freising, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Rose Yinghan Behncke
- Institute of Medical Genetics and Human Genetics of the Charité, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | - Wing-Lee Chan
- Institute of Medical Genetics and Human Genetics of the Charité, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | - Alexandra Despang
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | - Diane E Dickel
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Madeleine Duran
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Annette Feuchtinger
- Core Facility Pathology & Tissue Analytics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Helmut Fuchs
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Valerie Gailus-Durner
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Natja Haag
- Institute for Human Genetics and Genomic Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Rene Hägerling
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Medical Genetics and Human Genetics of the Charité, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | - Nils Hansmeier
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Medical Genetics and Human Genetics of the Charité, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | | | - Cooper Marshall
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA
| | | | - Alessa Ringel
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Medical Genetics and Human Genetics of the Charité, Berlin, Germany
| | - Michael Robson
- Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Lauren M Saunders
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Patricia da Silva-Buttkus
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Nadine Spielmann
- Institute of Experimental Genetics, German Mouse Clinic, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Sanjay R Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Sascha Ulferts
- Institute of Medical Genetics and Human Genetics of the Charité, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | - Lars Wittler
- Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Yiwen Zhu
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | | | - Daniel M Ibrahim
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT, Berlin, Germany
| | - Ingo Kurth
- Institute for Human Genetics and Genomic Medicine, Medical Faculty, RWTH Aachen University, Aachen, Germany
| | - Uwe Kornak
- Institute of Human Genetics, University Medical Center Göttingen, Göttingen, Germany
| | - Axel Visel
- Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | | | - David R Beier
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA
- Center for Developmental Biology & Regenerative Medicine, Seattle Children's Research Institute, Seattle, WA, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Junyue Cao
- Laboratory of Single-Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA.
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA, USA.
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.
- Howard Hughes Medical Institute, Seattle, WA, USA.
| | - Malte Spielmann
- Institute of Human Genetics, University Medical Center Schleswig-Holstein, University of Lübeck & Kiel University, Lübeck, Germany.
- Max Planck Institute for Molecular Genetics, Berlin, Germany.
- DZHK (German Centre for Cardiovascular Research), partner site Hamburg/Lübeck/Kiel, Lübeck, Germany.
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9
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Aman AJ, Saunders LM, Carr AA, Srivatasan S, Eberhard C, Carrington B, Watkins-Chow D, Pavan WJ, Trapnell C, Parichy DM. Transcriptomic profiling of tissue environments critical for post-embryonic patterning and morphogenesis of zebrafish skin. eLife 2023; 12:RP86670. [PMID: 37695017 PMCID: PMC10495112 DOI: 10.7554/elife.86670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2023] Open
Abstract
Pigment patterns and skin appendages are prominent features of vertebrate skin. In zebrafish, regularly patterned pigment stripes and an array of calcified scales form simultaneously in the skin during post-embryonic development. Understanding the mechanisms that regulate stripe patterning and scale morphogenesis may lead to the discovery of fundamental mechanisms that govern the development of animal form. To learn about cell types and signaling interactions that govern skin patterning and morphogenesis, we generated and analyzed single-cell transcriptomes of skin from wild-type fish as well as fish having genetic or transgenically induced defects in squamation or pigmentation. These data reveal a previously undescribed population of epidermal cells that express transcripts encoding enamel matrix proteins, suggest hormonal control of epithelial-mesenchymal signaling, clarify the signaling network that governs scale papillae development, and identify a critical role for the hypodermis in supporting pigment cell development. Additionally, these comprehensive single-cell transcriptomic data representing skin phenotypes of biomedical relevance should provide a useful resource for accelerating the discovery of mechanisms that govern skin development and homeostasis.
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Affiliation(s)
- Andrew J Aman
- Department of Biology, University of VirginiaCharlottesvilleUnited States
| | - Lauren M Saunders
- Department of Genome Sciences, University of WashingtonSeattleUnited States
| | - August A Carr
- Department of Biology, University of VirginiaCharlottesvilleUnited States
| | - Sanjay Srivatasan
- Department of Genome Sciences, University of WashingtonSeattleUnited States
| | - Colten Eberhard
- National Human Genome Research Institute, National Institutes of HealthBethesdaUnited States
| | - Blake Carrington
- National Human Genome Research Institute, National Institutes of HealthBethesdaUnited States
| | - Dawn Watkins-Chow
- National Human Genome Research Institute, National Institutes of HealthBethesdaUnited States
| | - William J Pavan
- National Human Genome Research Institute, National Institutes of HealthBethesdaUnited States
| | - Cole Trapnell
- Department of Genome Sciences, University of WashingtonSeattleUnited States
| | - David M Parichy
- Department of Biology, University of VirginiaCharlottesvilleUnited States
- Department of Cell Biology, University of VirginiaCharlottesvilleUnited States
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10
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Tresenrider A, Sridhar A, Eldred KC, Cuschieri S, Hoffer D, Trapnell C, Reh TA. Single-cell sequencing of individual retinal organoids reveals determinants of cell-fate heterogeneity. Cell Rep Methods 2023; 3:100548. [PMID: 37671011 PMCID: PMC10475847 DOI: 10.1016/j.crmeth.2023.100548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 05/16/2023] [Accepted: 07/14/2023] [Indexed: 09/07/2023]
Abstract
With a critical need for more complete in vitro models of human development and disease, organoids hold immense potential. Their complex cellular composition makes single-cell sequencing of great utility; however, the limitation of current technologies to a handful of treatment conditions restricts their use in screens or studies of organoid heterogeneity. Here, we apply sci-Plex, a single-cell combinatorial indexing (sci)-based RNA sequencing (RNA-seq) multiplexing method to retinal organoids. We demonstrate that sci-Plex and 10× methods produce highly concordant cell-class compositions and then expand sci-Plex to analyze the cell-class composition of 410 organoids upon modulation of critical developmental pathways. Leveraging individual organoid data, we develop a method to measure organoid heterogeneity, and we identify that activation of Wnt signaling early in retinal organoid cultures increases retinal cell classes up to 6 weeks later. Our data show sci-Plex's potential to dramatically scale up the analysis of treatment conditions on relevant human models.
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Affiliation(s)
- Amy Tresenrider
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | | | - Kiara C. Eldred
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Sophia Cuschieri
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Dawn Hoffer
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA 98195, USA
| | - Thomas A. Reh
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
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11
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McFaline-Figueroa JL, Srivatsan S, Hill AJ, Gasperini M, Jackson DL, Saunders L, Domcke S, Regalado SG, Lazarchuck P, Alvarez S, Monnat RJ, Shendure J, Trapnell C. Multiplex single-cell chemical genomics reveals the kinase dependence of the response to targeted therapy. bioRxiv 2023:2023.03.10.531983. [PMID: 37398090 PMCID: PMC10312454 DOI: 10.1101/2023.03.10.531983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Chemical genetic screens are a powerful tool for exploring how cancer cells' response to drugs is shaped by their mutations, yet they lack a molecular view of the contribution of individual genes to the response to exposure. Here, we present sci-Plex-Gene-by-Environment (sci-Plex-GxE), a platform for combined single-cell genetic and chemical screening at scale. We highlight the advantages of large-scale, unbiased screening by defining the contribution of each of 522 human kinases to the response of glioblastoma to different drugs designed to abrogate signaling from the receptor tyrosine kinase pathway. In total, we probed 14,121 gene-by-environment combinations across 1,052,205 single-cell transcriptomes. We identify an expression signature characteristic of compensatory adaptive signaling regulated in a MEK/MAPK-dependent manner. Further analyses aimed at preventing adaptation revealed promising combination therapies, including dual MEK and CDC7/CDK9 or NF-kB inhibitors, as potent means of preventing transcriptional adaptation of glioblastoma to targeted therapy.
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Affiliation(s)
- José L. McFaline-Figueroa
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Sanjay Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Andrew J. Hill
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Molly Gasperini
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Dana L. Jackson
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Lauren Saunders
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Silvia Domcke
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Samuel G. Regalado
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Paul Lazarchuck
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Sarai Alvarez
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Raymond J. Monnat
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
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12
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Tresenrider A, Sridhar A, Eldred KC, Cuschieri S, Hoffer D, Trapnell C, Reh TA. Single-cell sequencing of individual retinal organoids reveals determinants of cell fate heterogeneity. bioRxiv 2023:2023.05.31.543087. [PMID: 37398481 PMCID: PMC10312535 DOI: 10.1101/2023.05.31.543087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
With a critical need for more complete in vitro models of human development and disease, organoids hold immense potential. Their complex cellular composition makes single-cell sequencing of great utility; however, the limitation of current technologies to a handful of treatment conditions restricts their use in screens or studies of organoid heterogeneity. Here, we apply sci-Plex, a single-cell combinatorial indexing (sci)-based RNA-seq multiplexing method to retinal organoids. We demonstrate that sci-Plex and 10x methods produce highly concordant cell class compositions and then expand sci-Plex to analyze the cell class composition of 410 organoids upon modulation of critical developmental pathways. Leveraging individual organoid data, we develop a method to measure organoid heterogeneity, and we identify that activation of Wnt signaling early in retinal organoid cultures increases retinal cell classes up to six weeks later. Our data show sci-Plex's potential to dramatically scale-up the analysis of treatment conditions on relevant human models.
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Affiliation(s)
- Amy Tresenrider
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | | | - Kiara C. Eldred
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Sophia Cuschieri
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Dawn Hoffer
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA 98195, USA
| | - Thomas A. Reh
- Department of Biological Structure, University of Washington, Seattle, WA 98195, USA
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13
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Lotfollahi M, Klimovskaia Susmelj A, De Donno C, Hetzel L, Ji Y, Ibarra IL, Srivatsan SR, Naghipourfar M, Daza RM, Martin B, Shendure J, McFaline-Figueroa JL, Boyeau P, Wolf FA, Yakubova N, Günnemann S, Trapnell C, Lopez-Paz D, Theis FJ. Predicting cellular responses to complex perturbations in high-throughput screens. Mol Syst Biol 2023:e11517. [PMID: 37154091 DOI: 10.15252/msb.202211517] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 03/23/2023] [Accepted: 03/31/2023] [Indexed: 05/10/2023] Open
Abstract
Recent advances in multiplexed single-cell transcriptomics experiments facilitate the high-throughput study of drug and genetic perturbations. However, an exhaustive exploration of the combinatorial perturbation space is experimentally unfeasible. Therefore, computational methods are needed to predict, interpret, and prioritize perturbations. Here, we present the compositional perturbation autoencoder (CPA), which combines the interpretability of linear models with the flexibility of deep-learning approaches for single-cell response modeling. CPA learns to in silico predict transcriptional perturbation response at the single-cell level for unseen dosages, cell types, time points, and species. Using newly generated single-cell drug combination data, we validate that CPA can predict unseen drug combinations while outperforming baseline models. Additionally, the architecture's modularity enables incorporating the chemical representation of the drugs, allowing the prediction of cellular response to completely unseen drugs. Furthermore, CPA is also applicable to genetic combinatorial screens. We demonstrate this by imputing in silico 5,329 missing combinations (97.6% of all possibilities) in a single-cell Perturb-seq experiment with diverse genetic interactions. We envision CPA will facilitate efficient experimental design and hypothesis generation by enabling in silico response prediction at the single-cell level and thus accelerate therapeutic applications using single-cell technologies.
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Affiliation(s)
- Mohammad Lotfollahi
- Helmholtz Center Munich - German Research Center for Environmental Health, Institute of Computational Biology, Munich, Germany
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK
| | | | - Carlo De Donno
- Helmholtz Center Munich - German Research Center for Environmental Health, Institute of Computational Biology, Munich, Germany
- School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany
| | - Leon Hetzel
- Helmholtz Center Munich - German Research Center for Environmental Health, Institute of Computational Biology, Munich, Germany
- Department of Mathematics, Technical University of Munich, Munich, Germany
| | - Yuge Ji
- Helmholtz Center Munich - German Research Center for Environmental Health, Institute of Computational Biology, Munich, Germany
- School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany
| | - Ignacio L Ibarra
- Helmholtz Center Munich - German Research Center for Environmental Health, Institute of Computational Biology, Munich, Germany
| | - Sanjay R Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Riza M Daza
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Beth Martin
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | | | - Pierre Boyeau
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA
| | - F Alexander Wolf
- Helmholtz Center Munich - German Research Center for Environmental Health, Institute of Computational Biology, Munich, Germany
| | | | - Stephan Günnemann
- Department of Computer Science, Technical University of Munich, Munich, Germany
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - David Lopez-Paz
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK
| | - Fabian J Theis
- Helmholtz Center Munich - German Research Center for Environmental Health, Institute of Computational Biology, Munich, Germany
- Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK
- School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany
- Department of Mathematics, Technical University of Munich, Munich, Germany
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14
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Qiu C, Martin BK, Welsh IC, Daza RM, Le TM, Huang X, Nichols EK, Taylor ML, Fulton O, O’Day DR, Gomes AR, Ilcisin S, Srivatsan S, Deng X, Disteche CM, Noble WS, Hamazaki N, Moens CB, Kimelman D, Cao J, Schier AF, Spielmann M, Murray SA, Trapnell C, Shendure J. A single-cell transcriptional timelapse of mouse embryonic development, from gastrula to pup. bioRxiv 2023:2023.04.05.535726. [PMID: 37066300 PMCID: PMC10104014 DOI: 10.1101/2023.04.05.535726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
The house mouse, Mus musculus, is an exceptional model system, combining genetic tractability with close homology to human biology. Gestation in mouse development lasts just under three weeks, a period during which its genome orchestrates the astonishing transformation of a single cell zygote into a free-living pup composed of >500 million cells. Towards a global framework for exploring mammalian development, we applied single cell combinatorial indexing (sci-*) to profile the transcriptional states of 12.4 million nuclei from 83 precisely staged embryos spanning late gastrulation (embryonic day 8 or E8) to birth (postnatal day 0 or P0), with 2-hr temporal resolution during somitogenesis, 6-hr resolution through to birth, and 20-min resolution during the immediate postpartum period. From these data (E8 to P0), we annotate dozens of trajectories and hundreds of cell types and perform deeper analyses of the unfolding of the posterior embryo during somitogenesis as well as the ontogenesis of the kidney, mesenchyme, retina, and early neurons. Finally, we leverage the depth and temporal resolution of these whole embryo snapshots, together with other published data, to construct and curate a rooted tree of cell type relationships that spans mouse development from zygote to pup. Throughout this tree, we systematically nominate sets of transcription factors (TFs) and other genes as candidate drivers of the in vivo differentiation of hundreds of mammalian cell types. Remarkably, the most dramatic shifts in transcriptional state are observed in a restricted set of cell types in the hours immediately following birth, and presumably underlie the massive changes in physiology that must accompany the successful transition of a placental mammal to extrauterine life.
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Affiliation(s)
- Chengxiang Qiu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Beth K. Martin
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Riza M. Daza
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Truc-Mai Le
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Xingfan Huang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - Eva K. Nichols
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Megan L. Taylor
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Olivia Fulton
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Diana R. O’Day
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | | | - Saskia Ilcisin
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Sanjay Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Xinxian Deng
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Christine M. Disteche
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - William Stafford Noble
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - Nobuhiko Hamazaki
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
| | - Cecilia B. Moens
- Division of Basic Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - David Kimelman
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Junyue Cao
- Laboratory of Single-cell genomics and Population dynamics, The Rockefeller University, New York, NY, USA
| | - Alexander F. Schier
- Biozentrum, University of Basel, Basel, Switzerland
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Malte Spielmann
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Human Genetics, University Hospitals Schleswig-Holstein, University of Lübeck and Kiel University, Lübeck, Kiel, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Hamburg, Lübeck, Kiel, Lübeck, Germany
| | | | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
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15
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Itkin T, Houghton S, Schreiner R, Lin Y, Badwe CR, Voisin V, Murison A, Seyedhassantehrani N, Kaufmann KB, Garcia-Prat L, Booth GT, Geng F, Liu Y, Gomez-Salinero JM, Shieh JH, Redmond D, Xiang JZ, Josefowicz SZ, Trapnell C, Spencer JA, Zangi L, Hadland B, Dick JE, Xie SZ, Rafii S. Transcriptional Activation of Regenerative Hematopoiesis via Vascular Niche Sensing. bioRxiv 2023:2023.03.27.534417. [PMID: 37034724 PMCID: PMC10081204 DOI: 10.1101/2023.03.27.534417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Transition between activation and quiescence programs in hematopoietic stem and progenitor cells (HSC/HSPCs) is perceived to be governed intrinsically and by microenvironmental co-adaptation. However, HSC programs dictating both transition and adaptability, remain poorly defined. Single cell multiome analysis divulging differential transcriptional activity between distinct HSPC states, indicated for the exclusive absence of Fli-1 motif from quiescent HSCs. We reveal that Fli-1 activity is essential for HSCs during regenerative hematopoiesis. Fli-1 directs activation programs while manipulating cellular sensory and output machineries, enabling HSPCs co-adoptability with a stimulated vascular niche. During regenerative conditions, Fli-1 presets and enables propagation of niche-derived Notch1 signaling. Constitutively induced Notch1 signaling is sufficient to recuperate functional HSC impairments in the absence of Fli-1. Applying FLI-1 modified-mRNA transduction into lethargic adult human mobilized HSPCs, enables their vigorous niche-mediated expansion along with superior engraftment capacities. Thus, decryption of stem cell activation programs offers valuable insights for immune regenerative medicine.
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16
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Edman NI, Redler RL, Phal A, Schlichthaerle T, Srivatsan SR, Etemadi A, An SJ, Favor A, Ehnes D, Li Z, Praetorius F, Gordon M, Yang W, Coventry B, Hicks DR, Cao L, Bethel N, Heine P, Murray A, Gerben S, Carter L, Miranda M, Negahdari B, Lee S, Trapnell C, Stewart L, Ekiert DC, Schlessinger J, Shendure J, Bhabha G, Ruohola-Baker H, Baker D. Modulation of FGF pathway signaling and vascular differentiation using designed oligomeric assemblies. bioRxiv 2023:2023.03.14.532666. [PMID: 36993355 PMCID: PMC10055045 DOI: 10.1101/2023.03.14.532666] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
Growth factors and cytokines signal by binding to the extracellular domains of their receptors and drive association and transphosphorylation of the receptor intracellular tyrosine kinase domains, initiating downstream signaling cascades. To enable systematic exploration of how receptor valency and geometry affects signaling outcomes, we designed cyclic homo-oligomers with up to 8 subunits using repeat protein building blocks that can be modularly extended. By incorporating a de novo designed fibroblast growth-factor receptor (FGFR) binding module into these scaffolds, we generated a series of synthetic signaling ligands that exhibit potent valency- and geometry-dependent Ca2+ release and MAPK pathway activation. The high specificity of the designed agonists reveal distinct roles for two FGFR splice variants in driving endothelial and mesenchymal cell fates during early vascular development. The ability to incorporate receptor binding domains and repeat extensions in a modular fashion makes our designed scaffolds broadly useful for probing and manipulating cellular signaling pathways.
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Affiliation(s)
- Natasha I Edman
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
- Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, WA 98195, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA 98195, USA
| | - Rachel L Redler
- Department of Cell Biology, New York University School of Medicine, New York, NY, USA
| | - Ashish Phal
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, USA
- Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
| | - Thomas Schlichthaerle
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Sanjay R Srivatsan
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA 98195, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Ali Etemadi
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
- Medical Biotechnology Department, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Seong J An
- Department of Pharmacology, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew Favor
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Devon Ehnes
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, USA
| | - Zhe Li
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Florian Praetorius
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Max Gordon
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, USA
| | - Wei Yang
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Brian Coventry
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Derrick R. Hicks
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Longxing Cao
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Neville Bethel
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
| | - Piper Heine
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Analisa Murray
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Stacey Gerben
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Lauren Carter
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Marcos Miranda
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Babak Negahdari
- Medical Biotechnology Department, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Sangwon Lee
- Department of Pharmacology, Yale University School of Medicine, New Haven, CT, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Lance Stewart
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Damian C. Ekiert
- Department of Cell Biology, New York University School of Medicine, New York, NY, USA
- Department of Microbiology, New York University School of Medicine, New York, United States
| | - Joseph Schlessinger
- Department of Pharmacology, Yale University School of Medicine, New Haven, CT, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Gira Bhabha
- Department of Cell Biology, New York University School of Medicine, New York, NY, USA
| | - Hannele Ruohola-Baker
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA 98109, USA
- Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - David Baker
- Department of Biochemistry, University of Washington, Seattle, WA 98195, USA
- Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
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17
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Booth GT, Daza RM, Srivatsan SR, McFaline-Figueroa JL, Gladden RG, Furlan SN, Shendure J, Trapnell C. High-Capacity Sample Multiplexing for Single Cell Chromatin Accessibility Profiling. bioRxiv 2023:2023.03.05.531201. [PMID: 36945538 PMCID: PMC10028990 DOI: 10.1101/2023.03.05.531201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
Single-cell chromatin accessibility has emerged as a powerful means of understanding the epigenetic landscape of diverse tissues and cell types, but profiling cells from many independent specimens is challenging and costly. Here we describe a novel approach, sciPlex-ATAC-seq, which uses unmodified DNA oligos as sample-specific nuclear labels, enabling the concurrent profiling of chromatin accessibility within single nuclei from virtually unlimited specimens or experimental conditions. We first demonstrate our method with a chemical epigenomics screen, in which we identify drug-altered distal regulatory sites predictive of compound- and dose-dependent effects on transcription. We then analyze cell type-specific chromatin changes in PBMCs from multiple donors responding to synthetic and allogeneic immune stimulation. We quantify stimulation-altered immune cell compositions and isolate the unique effects of allogeneic stimulation on chromatin accessibility specific to T-lymphocytes. Finally, we observe that impaired global chromatin decondensation often coincides with chemical inhibition of allogeneic T-cell activation.
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Affiliation(s)
- Gregory T. Booth
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Riza M. Daza
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - José L. McFaline-Figueroa
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Biomedical Engineering, Columbia University, New York City, NY, USA
| | - Rula Green Gladden
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Scott N. Furlan
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
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18
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Hasegawa Y, Franks JM, Tanaka Y, Uehara Y, Read DF, Williams C, Srivatsan S, Pitstick LB, Nikolaidis NM, Shaver CM, Wu H, Gardner JC, Osterburg AR, Yu JJ, Kopras EJ, Teitelbaum SL, Wikenheiser-Brokamp KA, Trapnell C, McCormack FX. Pulmonary osteoclast-like cells in silica induced pulmonary fibrosis. bioRxiv 2023:2023.02.17.528996. [PMID: 36824953 PMCID: PMC9949165 DOI: 10.1101/2023.02.17.528996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
Abstract
The pathophysiology of silicosis is poorly understood, limiting development of therapies for those who have been exposed to the respirable particle. We explored the mechanisms of silica-induced pulmonary fibrosis in a mouse model using multiple modalities including whole-lung single-nucleus RNA sequencing. These analyses revealed that in addition to pulmonary inflammation and fibrosis, intratracheal silica challenge induced osteoclast-like differentiation of alveolar macrophages and recruited monocytes, driven by induction of the osteoclastogenic cytokine, receptor activator of nuclear factor-κB ligand (RANKL) in pulmonary lymphocytes and alveolar type II cells. Furthermore, anti-RANKL monoclonal antibody treatment suppressed silica-induced osteoclast-like differentiation in the lung and attenuated silica-induced pulmonary fibrosis. We conclude that silica induces osteoclast-like differentiation of distinct recruited and tissue resident monocyte populations, leading to progressive lung injury, likely due to sustained elaboration of bone resorbing proteases and hydrochloric acid. Interrupting osteoclast-like differentiation may therefore constitute a promising avenue for moderating lung damage in silicosis.
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Affiliation(s)
- Yoshihiro Hasegawa
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati – Cincinnati, OH/US
| | - Jennifer M. Franks
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Yusuke Tanaka
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati – Cincinnati, OH/US
| | - Yasuaki Uehara
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati – Cincinnati, OH/US
| | - David F. Read
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Claire Williams
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Sanjay Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Lori B. Pitstick
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati – Cincinnati, OH/US
| | - Nikolaos M. Nikolaidis
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati – Cincinnati, OH/US
| | - Ciara M. Shaver
- Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center – Nashville, TN/US
| | - Huixing Wu
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati – Cincinnati, OH/US
| | - Jason C. Gardner
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati – Cincinnati, OH/US
| | - Andrew R. Osterburg
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati – Cincinnati, OH/US
| | - Jane J. Yu
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati – Cincinnati, OH/US
| | - Elizabeth J. Kopras
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati – Cincinnati, OH/US
| | - Steven L. Teitelbaum
- Department of Pathology and Immunology, and Division of Bone and Mineral Diseases, Department of Medicine, Washington University School of Medicine – St. Louis, MO/US
| | - Kathryn A. Wikenheiser-Brokamp
- Division of Pathology & Laboratory Medicine and Perinatal Institute, Division of Pulmonary Biology, Cincinnati Children’s Hospital Medical Center – Cincinnati, OH/US, Department of Pathology & Laboratory Medicine, University of Cincinnati – Cincinnati, OH/US
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Francis X. McCormack
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Cincinnati – Cincinnati, OH/US
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19
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Shi T, Beaulieu MO, Saunders LM, Fabian P, Trapnell C, Segil N, Crump JG, Raible DW. Single-cell transcriptomic profiling of the zebrafish inner ear reveals molecularly distinct hair cell and supporting cell subtypes. eLife 2023; 12:82978. [PMID: 36598134 PMCID: PMC9851615 DOI: 10.7554/elife.82978] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 01/04/2023] [Indexed: 01/05/2023] Open
Abstract
A major cause of human deafness and vestibular dysfunction is permanent loss of the mechanosensory hair cells of the inner ear. In non-mammalian vertebrates such as zebrafish, regeneration of missing hair cells can occur throughout life. While a comparative approach has the potential to reveal the basis of such differential regenerative ability, the degree to which the inner ears of fish and mammals share common hair cells and supporting cell types remains unresolved. Here, we perform single-cell RNA sequencing of the zebrafish inner ear at embryonic through adult stages to catalog the diversity of hair cells and non-sensory supporting cells. We identify a putative progenitor population for hair cells and supporting cells, as well as distinct hair and supporting cell types in the maculae versus cristae. The hair cell and supporting cell types differ from those described for the lateral line system, a distributed mechanosensory organ in zebrafish in which most studies of hair cell regeneration have been conducted. In the maculae, we identify two subtypes of hair cells that share gene expression with mammalian striolar or extrastriolar hair cells. In situ hybridization reveals that these hair cell subtypes occupy distinct spatial domains within the three macular organs, the utricle, saccule, and lagena, consistent with the reported distinct electrophysiological properties of hair cells within these domains. These findings suggest that primitive specialization of spatially distinct striolar and extrastriolar hair cells likely arose in the last common ancestor of fish and mammals. The similarities of inner ear cell type composition between fish and mammals validate zebrafish as a relevant model for understanding inner ear-specific hair cell function and regeneration.
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Affiliation(s)
- Tuo Shi
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
- Caruso Department of Otolaryngology-Head and Neck Surgery, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
| | - Marielle O Beaulieu
- Department of Otolaryngology-Head and Neck Surgery, University of WashingtonSeattleUnited States
| | - Lauren M Saunders
- Department of Genome Sciences, University of WashingtonSeattleUnited States
| | - Peter Fabian
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
| | - Cole Trapnell
- Department of Genome Sciences, University of WashingtonSeattleUnited States
| | - Neil Segil
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
- Caruso Department of Otolaryngology-Head and Neck Surgery, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
| | - J Gage Crump
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
| | - David W Raible
- Department of Otolaryngology-Head and Neck Surgery, University of WashingtonSeattleUnited States
- Department of Genome Sciences, University of WashingtonSeattleUnited States
- Department of Biological Structure, University of WashingtonSeattleUnited States
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20
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Martin BK, Qiu C, Nichols E, Phung M, Green-Gladden R, Srivatsan S, Blecher-Gonen R, Beliveau BJ, Trapnell C, Cao J, Shendure J. Optimized single-nucleus transcriptional profiling by combinatorial indexing. Nat Protoc 2023; 18:188-207. [PMID: 36261634 PMCID: PMC9839601 DOI: 10.1038/s41596-022-00752-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 06/30/2022] [Indexed: 01/17/2023]
Abstract
Single-cell combinatorial indexing RNA sequencing (sci-RNA-seq) is a powerful method for recovering gene expression data from an exponentially scalable number of individual cells or nuclei. However, sci-RNA-seq is a complex protocol that has historically exhibited variable performance on different tissues, as well as lower sensitivity than alternative methods. Here, we report a simplified, optimized version of the sci-RNA-seq protocol with three rounds of split-pool indexing that is faster, more robust and more sensitive and has a higher yield than the original protocol, with reagent costs on the order of 1 cent per cell or less. The total hands-on time from nuclei isolation to final library preparation takes 2-3 d, depending on the number of samples sharing the experiment. The improvements also allow RNA profiling from tissues rich in RNases like older mouse embryos or adult tissues that were problematic for the original method. We showcase the optimized protocol via whole-organism analysis of an E16.5 mouse embryo, profiling ~380,000 nuclei in a single experiment. Finally, we introduce a 'Tiny-Sci' protocol for experiments in which input material is very limited.
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Affiliation(s)
- Beth K. Martin
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Chengxiang Qiu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Eva Nichols
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Melissa Phung
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.,Department of Biology, Case Western Reserve University, Cleveland, OH, USA
| | - Rula Green-Gladden
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.,Division of Hematology/Oncology, Seattle Children’s Hospital, Seattle, WA, USA
| | - Sanjay Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.,Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Ronnie Blecher-Gonen
- The Crown Genomics Institute of the Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Israel
| | - Brian J. Beliveau
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.,Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.,Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Junyue Cao
- Laboratory of Single-Cell Genomics and Population Dynamics, The Rockefeller University, New York, NY, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA. .,Brotman Baty Institute for Precision Medicine, Seattle, WA, USA. .,Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA. .,Howard Hughes Medical Institute, Seattle, WA, USA.
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21
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Rubin SA, Baron CS, Pessoa Rodrigues C, Duran M, Corbin AF, Yang SP, Trapnell C, Zon LI. Single-cell analyses reveal early thymic progenitors and pre-B cells in zebrafish. J Exp Med 2022; 219:e20220038. [PMID: 35938989 PMCID: PMC9365674 DOI: 10.1084/jem.20220038] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 06/11/2022] [Accepted: 07/06/2022] [Indexed: 02/06/2023] Open
Abstract
The zebrafish has proven to be a valuable model organism for studying hematopoiesis, but relatively little is known about zebrafish immune cell development and functional diversity. Elucidating key aspects of zebrafish lymphocyte development and exploring the breadth of effector functions would provide valuable insight into the evolution of adaptive immunity. We performed single-cell RNA sequencing on ∼70,000 cells from the zebrafish marrow and thymus to establish a gene expression map of zebrafish immune cell development. We uncovered rich cellular diversity in the juvenile and adult zebrafish thymus, elucidated B- and T-cell developmental trajectories, and transcriptionally characterized subsets of hematopoietic stem and progenitor cells and early thymic progenitors. Our analysis permitted the identification of two dendritic-like cell populations and provided evidence in support of the existence of a pre-B cell state. Our results provide critical insights into the landscape of zebrafish immunology and offer a foundation for cellular and genetic studies.
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Affiliation(s)
- Sara A. Rubin
- Stem Cell Program and Division of Hematology/Oncology, Boston Children’s Hospital and Dana-Farber Cancer Institute, Boston, MA
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA
- Stem Cell and Regenerative Biology Department, Harvard University, Cambridge, MA
| | - Chloé S. Baron
- Stem Cell Program and Division of Hematology/Oncology, Boston Children’s Hospital and Dana-Farber Cancer Institute, Boston, MA
- Stem Cell and Regenerative Biology Department, Harvard University, Cambridge, MA
| | - Cecilia Pessoa Rodrigues
- Stem Cell Program and Division of Hematology/Oncology, Boston Children’s Hospital and Dana-Farber Cancer Institute, Boston, MA
- Stem Cell and Regenerative Biology Department, Harvard University, Cambridge, MA
| | - Madeleine Duran
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Alexandra F. Corbin
- Stem Cell Program and Division of Hematology/Oncology, Boston Children’s Hospital and Dana-Farber Cancer Institute, Boston, MA
| | - Song P. Yang
- Stem Cell Program and Division of Hematology/Oncology, Boston Children’s Hospital and Dana-Farber Cancer Institute, Boston, MA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Leonard I. Zon
- Stem Cell Program and Division of Hematology/Oncology, Boston Children’s Hospital and Dana-Farber Cancer Institute, Boston, MA
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA
- Stem Cell and Regenerative Biology Department, Harvard University, Cambridge, MA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA
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22
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Calderon D, Blecher-Gonen R, Huang X, Secchia S, Kentro J, Daza RM, Martin B, Dulja A, Schaub C, Trapnell C, Larschan E, O'Connor-Giles KM, Furlong EEM, Shendure J. The continuum of Drosophila embryonic development at single-cell resolution. Science 2022; 377:eabn5800. [PMID: 35926038 PMCID: PMC9371440 DOI: 10.1126/science.abn5800] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Drosophila melanogaster is a powerful, long-standing model for metazoan development and gene regulation. We profiled chromatin accessibility in almost 1 million and gene expression in half a million nuclei from overlapping windows spanning the entirety of embryogenesis. Leveraging developmental asynchronicity within embryo collections, we applied deep neural networks to infer the age of each nucleus, resulting in continuous, multimodal views of molecular and cellular transitions in absolute time. We identify cell lineages; infer their developmental relationships; and link dynamic changes in enhancer usage, transcription factor (TF) expression, and the accessibility of TFs' cognate motifs. With these data, the dynamics of enhancer usage and gene expression can be explored within and across lineages at the scale of minutes, including for precise transitions like zygotic genome activation.
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Affiliation(s)
- Diego Calderon
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Ronnie Blecher-Gonen
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.,The Crown Genomics Institute of the Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel
| | - Xingfan Huang
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.,Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195, USA
| | - Stefano Secchia
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany
| | - James Kentro
- Molecular Biology, Cell Biology, and Biochemistry Graduate Program, Brown University, Providence, RI 02912, USA
| | - Riza M Daza
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Beth Martin
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Alessandro Dulja
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany
| | - Christoph Schaub
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.,Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA.,Allen Discovery Center for Cell Lineage Tracing, Seattle, WA 98195, USA
| | - Erica Larschan
- Molecular Biology, Cell Biology, and Biochemistry Graduate Program, Brown University, Providence, RI 02912, USA
| | - Kate M O'Connor-Giles
- Department of Neuroscience and Carney Institute for Brain Science, Brown University, Providence, RI 02912, USA
| | - Eileen E M Furlong
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.,Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA.,Allen Discovery Center for Cell Lineage Tracing, Seattle, WA 98195, USA.,Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
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23
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Kim HJ, Booth G, Saunders L, Srivatsan S, McFaline-Figueroa JL, Trapnell C. Nuclear oligo hashing improves differential analysis of single-cell RNA-seq. Nat Commun 2022; 13:2666. [PMID: 35562344 PMCID: PMC9106741 DOI: 10.1038/s41467-022-30309-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 04/26/2022] [Indexed: 11/09/2022] Open
Abstract
Single-cell RNA sequencing (scRNA-seq) offers a high-resolution molecular view into complex tissues, but suffers from high levels of technical noise which frustrates efforts to compare the gene expression programs of different cell types. "Spike-in" RNA standards help control for technical variation in scRNA-seq, but using them with recently developed, ultra-scalable scRNA-seq methods based on combinatorial indexing is not feasible. Here, we describe a simple and cost-effective method for normalizing transcript counts and subtracting technical variability that improves differential expression analysis in scRNA-seq. The method affixes a ladder of synthetic single-stranded DNA oligos to each cell that appears in its RNA-seq library. With improved normalization we explore chemical perturbations with broad or highly specific effects on gene regulation, including RNA pol II elongation, histone deacetylation, and activation of the glucocorticoid receptor. Our methods reveal that inhibiting histone deacetylation prevents cells from executing their canonical program of changes following glucocorticoid stimulation.
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Affiliation(s)
- Hyeon-Jin Kim
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Greg Booth
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Lauren Saunders
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Sanjay Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | | | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA. .,Brotman Baty Institute of Precision Medicine, Seattle, WA, 98195, USA. .,Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, 98195, USA.
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24
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Hadland B, Varnum-Finney B, Dozono S, Dignum T, Nourigat-McKay C, Heck AM, Ishida T, Jackson DL, Itkin T, Butler JM, Rafii S, Trapnell C, Bernstein ID. Engineering a niche supporting hematopoietic stem cell development using integrated single-cell transcriptomics. Nat Commun 2022; 13:1584. [PMID: 35332125 PMCID: PMC8948249 DOI: 10.1038/s41467-022-28781-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 02/09/2022] [Indexed: 12/22/2022] Open
Abstract
Hematopoietic stem cells (HSCs) develop from hemogenic endothelium within embryonic arterial vessels such as the aorta of the aorta-gonad-mesonephros region (AGM). To identify the signals responsible for HSC formation, here we use single cell RNA-sequencing to simultaneously analyze the transcriptional profiles of AGM-derived cells transitioning from hemogenic endothelium to HSCs, and AGM-derived endothelial cells which provide signals sufficient to support HSC maturation and self-renewal. Pseudotemporal ordering reveals dynamics of gene expression during the hemogenic endothelium to HSC transition, identifying surface receptors specifically expressed on developing HSCs. Transcriptional profiling of niche endothelial cells identifies corresponding ligands, including those signaling to Notch receptors, VLA-4 integrin, and CXCR4, which, when integrated in an engineered platform, are sufficient to support the generation of engrafting HSCs. These studies provide a transcriptional map of the signaling interactions necessary for the development of HSCs and advance the goal of engineering HSCs for therapeutic applications.
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Affiliation(s)
- Brandon Hadland
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, 98105, USA.
| | - Barbara Varnum-Finney
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Stacey Dozono
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Tessa Dignum
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Cynthia Nourigat-McKay
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Adam M Heck
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Takashi Ishida
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Dana L Jackson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98105, USA
| | - Tomer Itkin
- Department of Genetic Medicine, Ansary Stem Cell Institute, Howard Hughes Medical Institute, Weill Cornell Medical College, New York, NY, 10021, USA
| | - Jason M Butler
- Center for Discovery and Innovation, Hackensack University Medical Center, Nutley, NJ, 07110, USA
| | - Shahin Rafii
- Department of Genetic Medicine, Ansary Stem Cell Institute, Howard Hughes Medical Institute, Weill Cornell Medical College, New York, NY, 10021, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, 98105, USA
| | - Irwin D Bernstein
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, 98105, USA
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25
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Qiu C, Cao J, Martin BK, Li T, Welsh IC, Srivatsan S, Huang X, Calderon D, Noble WS, Disteche CM, Murray SA, Spielmann M, Moens CB, Trapnell C, Shendure J. Systematic reconstruction of cellular trajectories across mouse embryogenesis. Nat Genet 2022; 54:328-341. [PMID: 35288709 PMCID: PMC8920898 DOI: 10.1038/s41588-022-01018-x] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 01/21/2022] [Indexed: 12/12/2022]
Abstract
Mammalian embryogenesis is characterized by rapid cellular proliferation and diversification. Within a few weeks, a single-cell zygote gives rise to millions of cells expressing a panoply of molecular programs. Although intensively studied, a comprehensive delineation of the major cellular trajectories that comprise mammalian development in vivo remains elusive. Here, we set out to integrate several single-cell RNA-sequencing (scRNA-seq) datasets that collectively span mouse gastrulation and organogenesis, supplemented with new profiling of ~150,000 nuclei from approximately embryonic day 8.5 (E8.5) embryos staged in one-somite increments. Overall, we define cell states at each of 19 successive stages spanning E3.5 to E13.5 and heuristically connect them to their pseudoancestors and pseudodescendants. Although constructed through automated procedures, the resulting directed acyclic graph (TOME (trajectories of mammalian embryogenesis)) is largely consistent with our contemporary understanding of mammalian development. We leverage TOME to systematically nominate transcription factors (TFs) as candidate regulators of each cell type's specification, as well as 'cell-type homologs' across vertebrate evolution.
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Affiliation(s)
- Chengxiang Qiu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
| | - Junyue Cao
- The Rockefeller University, New York, NY, USA
| | - Beth K Martin
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Tony Li
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Sanjay Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Xingfan Huang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - Diego Calderon
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - William Stafford Noble
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - Christine M Disteche
- Department of Pathology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - Malte Spielmann
- Human Molecular Genomics Group, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Human Genetics, University of Lübeck, Lübeck, Germany
| | - Cecilia B Moens
- Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.
- Howard Hughes Medical Institute, Seattle, WA, USA.
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26
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Shima K, Arumugam P, Sallese A, Horio Y, Ma Y, Trapnell C, Wessendarp M, Chalk C, McCarthy C, Carey BC, Trapnell BC, Suzuki T. A murine model of hereditary pulmonary alveolar proteinosis caused by homozygous Csf2ra gene disruption. Am J Physiol Lung Cell Mol Physiol 2022; 322:L438-L448. [PMID: 35043685 PMCID: PMC8917935 DOI: 10.1152/ajplung.00175.2021] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Hereditary pulmonary alveolar proteinosis (hPAP) is a rare disorder caused by recessive mutations in GM-CSF receptor subunit α/β genes (CSF2RA/CSF2RB, respectively) characterized by impaired GM-CSF-dependent surfactant clearance by alveolar macrophages (AMs) resulting in alveolar surfactant accumulation and hypoxemic respiratory failure. Because hPAP is caused by CSF2RA mutations in most patients, we created an animal model of hPAP caused by Csf2ra gene disruption (Csf2ra-/- mice) and evaluated the effects on AMs and lungs. Macrophages from Csf2ra-/- mice were unable to bind and clear GM-CSF, did not exhibit GM-CSF signaling, and had functional defects in phagocytosis, cholesterol clearance, and surfactant clearance. Csf2ra-/- mice developed a time-dependent, progressive lung disease similar to hPAP in children caused by CSF2RA mutations with respect to the clinical, physiological, histopathological, biochemical abnormalities, biomarkers of PAP lung disease, and clinical course. In contrast, Csf2ra+/- mice had functionally normal AMs and no lung disease. Pulmonary macrophage transplantation (PMT) without myeloablation resulted in long-term engraftment, restoration of GM-CSF responsiveness to AMs, and a safe and durable treatment effect that lasted for the duration of the experiment (6 mo). Results demonstrate that homozygous (but not heterozygous) Csf2ra gene ablation caused hPAP identical to hPAP in children with CSF2RA mutations, identified AMs as the cellular site of hPAP pathogenesis in Csf2ra-/- mice, and have implications for preclinical studies supporting the translation of PMT as therapy of hPAP in humans.
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Affiliation(s)
- Kenjiro Shima
- 1Translational Pulmonary Science Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Paritha Arumugam
- 1Translational Pulmonary Science Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Anthony Sallese
- 1Translational Pulmonary Science Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Yuko Horio
- 1Translational Pulmonary Science Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Yan Ma
- 1Translational Pulmonary Science Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Cole Trapnell
- 2Department of Genome Sciences, University of Washington, Seattle, Washington
| | - Matthew Wessendarp
- 1Translational Pulmonary Science Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Claudia Chalk
- 1Translational Pulmonary Science Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Cormac McCarthy
- 1Translational Pulmonary Science Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio,4Division of Pulmonary, Critical Care, and Sleep Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Brenna C. Carey
- 1Translational Pulmonary Science Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Bruce C. Trapnell
- 1Translational Pulmonary Science Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio,3Division of Pulmonary Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio,4Division of Pulmonary, Critical Care, and Sleep Medicine, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Takuji Suzuki
- 1Translational Pulmonary Science Center, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio,5Department of Respirology, Chiba University, Chiba, Japan
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27
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Vanderwall ER, Barrow KA, Rich LM, Read DF, Trapnell C, Okoloko O, Ziegler SF, Hallstrand TS, White MP, Debley JS. Airway epithelial interferon response to SARS-CoV-2 is inferior to rhinovirus and heterologous rhinovirus infection suppresses SARS-CoV-2 replication. bioRxiv 2021. [PMID: 34845445 DOI: 10.1101/2021.11.20.469409] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
INTRODUCTION Common alphacoronaviruses and human rhinoviruses (HRV) induce type I and III interferon (IFN) responses important to limiting viral replication in the airway epithelium. In contrast, highly pathogenic betacoronaviruses including SARS-CoV-2 may evade or antagonize RNA-induced IFN I/III responses. METHODS In airway epithelial cells (AECs) from children and older adults we compared IFN I/III responses to SARS-CoV-2 and HRV-16, and assessed whether pre-infection with HRV-16, or pretreatment with recombinant IFN-β or IFN-λ, modified SARS-CoV-2 replication. Bronchial AECs from children (ages 6-18 yrs.) and older adults (ages 60-75 yrs.) were differentiated ex vivo to generate organotypic cultures. In a biosafety level 3 (BSL-3) facility, cultures were infected with SARS-CoV-2 or HRV-16, and RNA and protein was harvested from cell lysates 96 hrs. following infection and supernatant was collected 48 and 96 hrs. following infection. In additional experiments cultures were pre-infected with HRV-16, or pre-treated with recombinant IFN-β1 or IFN-λ2 before SARS-CoV-2 infection. RESULTS Despite significant between-donor heterogeneity SARS-CoV-2 replicated 100 times more efficiently than HRV-16. IFNB1, INFL2, and CXCL10 gene expression and protein production following HRV-16 infection was significantly greater than following SARS-CoV-2. IFN gene expression and protein production were inversely correlated with SARS-CoV-2 replication. Treatment of cultures with recombinant IFNβ1 or IFNλ2, or pre-infection of cultures with HRV-16, markedly reduced SARS-CoV-2 replication. DISCUSSION In addition to marked between-donor heterogeneity in IFN responses and viral replication, SARS-CoV-2 elicits a less robust IFN response in primary AEC cultures than does rhinovirus, and heterologous rhinovirus infection, or treatment with recombinant IFN-β1 or IFN-λ2, markedly reduces SARS-CoV-2 replication.
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28
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Cable J, Elowitz MB, Domingos AI, Habib N, Itzkovitz S, Hamidzada H, Balzer MS, Yanai I, Liberali P, Whited J, Streets A, Cai L, Stergachis AB, Hong CKY, Keren L, Guilliams M, Alon U, Shalek AK, Hamel R, Pfau SJ, Raj A, Quake SR, Zhang NR, Fan J, Trapnell C, Wang B, Greenwald NF, Vento-Tormo R, Santos SDM, Spencer SL, Garcia HG, Arekatla G, Gaiti F, Arbel-Goren R, Rulands S, Junker JP, Klein AM, Morris SA, Murray JI, Galloway KE, Ratz M, Romeike M. Single cell biology-a Keystone Symposia report. Ann N Y Acad Sci 2021; 1506:74-97. [PMID: 34605044 DOI: 10.1111/nyas.14692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 08/24/2021] [Indexed: 11/27/2022]
Abstract
Single cell biology has the potential to elucidate many critical biological processes and diseases, from development and regeneration to cancer. Single cell analyses are uncovering the molecular diversity of cells, revealing a clearer picture of the variation among and between different cell types. New techniques are beginning to unravel how differences in cell state-transcriptional, epigenetic, and other characteristics-can lead to different cell fates among genetically identical cells, which underlies complex processes such as embryonic development, drug resistance, response to injury, and cellular reprogramming. Single cell technologies also pose significant challenges relating to processing and analyzing vast amounts of data collected. To realize the potential of single cell technologies, new computational approaches are needed. On March 17-19, 2021, experts in single cell biology met virtually for the Keystone eSymposium "Single Cell Biology" to discuss advances both in single cell applications and technologies.
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Affiliation(s)
| | - Michael B Elowitz
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California.,Howard Hughes Medical Institute, California Institute of Technology, Pasadena, California
| | - Ana I Domingos
- Department of Physiology, Anatomy & Genetics, Oxford University, Oxford, United Kingdom.,The Howard Hughes Medical Institute, New York, New York
| | - Naomi Habib
- Cell Circuits Program, Broad Institute, Cambridge, Massachusetts.,Edmond & Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Shalev Itzkovitz
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Homaira Hamidzada
- Toronto General Hospital Research Institute, University Health Network; Translational Biology and Engineering Program, Ted Rogers Centre for Heart Research and Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Michael S Balzer
- Renal, Electrolyte, and Hypertension Division, Department of Medicine and Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Itai Yanai
- Institute for Computational Medicine, NYU Langone Health, New York, New York
| | - Prisca Liberali
- Friedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland
| | - Jessica Whited
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts
| | - Aaron Streets
- Department of Bioengineering and Center for Computational Biology, University of California, Berkeley, Berkeley, California.,Chan Zuckerberg Biohub, San Francisco, California
| | - Long Cai
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California
| | - Andrew B Stergachis
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington; and Brotman Baty Institute for Precision Medicine, Seattle, Washington
| | - Clarice Kit Yee Hong
- Edison Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, Missouri.,Department of Genetics, Washington University in St. Louis, St. Louis, Missouri
| | - Leeat Keren
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.,Department of Pathology, School of Medicine, Stanford University, Stanford, California
| | - Martin Guilliams
- Laboratory of Myeloid Cell Biology in Tissue Homeostasis and Regeneration, VIB-UGent Center for Inflammation Research, and Unit of Immunoregulation and Mucosal Immunology, VIB Inflammation Research Center, and Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Uri Alon
- Faculty of Sciences, Department of Human Biology, University of Haifa, Haifa, Israel
| | - Alex K Shalek
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts
| | - Regan Hamel
- Department of Clinical Neurosciences and NIHR Biomedical Research Centre, University of Cambridge, Cambridge, United Kingdom
| | - Sarah J Pfau
- Department of Neurobiology, Harvard Medical School, Boston, Massachusetts
| | - Arjun Raj
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.,Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Stephen R Quake
- Chan Zuckerberg Biohub, San Francisco, California.,Department of Bioengineering, Stanford University, Stanford, California.,Department of Applied Physics, Stanford University, Stanford, California
| | - Nancy R Zhang
- Graduate Group in Genomics and Computational Biology and Department of Statistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jean Fan
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington School of Medicine; Brotman Baty Institute for Precision Medicine; and Allen Discovery Center for Cell Lineage Tracing, Seattle, Washington
| | - Bo Wang
- Department of Bioengineering, Stanford University, Stanford, California.,Department of Developmental Biology, Stanford University School of Medicine, Stanford, California
| | - Noah F Greenwald
- Department of Pathology, School of Medicine, Stanford University, Stanford, California
| | | | | | - Sabrina L Spencer
- Department of Biochemistry and BioFrontiers Institute, University of Colorado Boulder, Boulder, Colorado
| | - Hernan G Garcia
- Department of Physics; Biophysics Graduate Group; Department of Molecular and Cell Biology; and Institute for Quantitative Biosciences-QB3, University of California at Berkeley, Berkeley, California
| | | | - Federico Gaiti
- New York Genome Center and Meyer Cancer Center, Weill Cornell Medicine, New York, New York
| | - Rinat Arbel-Goren
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel
| | - Steffen Rulands
- Max Planck Institute for the Physics of Complex Systems, and Center for Systems Biology Dresden, Dresden, Germany
| | - Jan Philipp Junker
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany
| | - Allon M Klein
- Department of Systems Biology, Blavatnik Institute, Harvard Medical School, Boston, Massachusetts
| | - Samantha A Morris
- Department of Genetics, Washington University in St. Louis, St. Louis, Missouri.,Department of Developmental Biology and Center of Regenerative Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - John I Murray
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kate E Galloway
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Michael Ratz
- Department of Cell and Molecular Biology, Karolinska Institute, Solna, Sweden
| | - Merrit Romeike
- Max Perutz Laboratories Vienna, University of Vienna, Vienna, Austria
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29
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Bonora G, Ramani V, Singh R, Fang H, Jackson DL, Srivatsan S, Qiu R, Lee C, Trapnell C, Shendure J, Duan Z, Deng X, Noble WS, Disteche CM. Single-cell landscape of nuclear configuration and gene expression during stem cell differentiation and X inactivation. Genome Biol 2021; 22:279. [PMID: 34579774 PMCID: PMC8474932 DOI: 10.1186/s13059-021-02432-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 07/07/2021] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Mammalian development is associated with extensive changes in gene expression, chromatin accessibility, and nuclear structure. Here, we follow such changes associated with mouse embryonic stem cell differentiation and X inactivation by integrating, for the first time, allele-specific data from these three modalities obtained by high-throughput single-cell RNA-seq, ATAC-seq, and Hi-C. RESULTS Allele-specific contact decay profiles obtained by single-cell Hi-C clearly show that the inactive X chromosome has a unique profile in differentiated cells that have undergone X inactivation. Loss of this inactive X-specific structure at mitosis is followed by its reappearance during the cell cycle, suggesting a "bookmark" mechanism. Differentiation of embryonic stem cells to follow the onset of X inactivation is associated with changes in contact decay profiles that occur in parallel on both the X chromosomes and autosomes. Single-cell RNA-seq and ATAC-seq show evidence of a delay in female versus male cells, due to the presence of two active X chromosomes at early stages of differentiation. The onset of the inactive X-specific structure in single cells occurs later than gene silencing, consistent with the idea that chromatin compaction is a late event of X inactivation. Single-cell Hi-C highlights evidence of discrete changes in nuclear structure characterized by the acquisition of very long-range contacts throughout the nucleus. Novel computational approaches allow for the effective alignment of single-cell gene expression, chromatin accessibility, and 3D chromosome structure. CONCLUSIONS Based on trajectory analyses, three distinct nuclear structure states are detected reflecting discrete and profound simultaneous changes not only to the structure of the X chromosomes, but also to that of autosomes during differentiation. Our study reveals that long-range structural changes to chromosomes appear as discrete events, unlike progressive changes in gene expression and chromatin accessibility.
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Affiliation(s)
- Giancarlo Bonora
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Vijay Ramani
- Department of Biochemistry & Biophysics, University of California San Francisco, San Francisco, CA, USA
| | - Ritambhara Singh
- Department of Computer Science, Brown University, Providence, RI, USA
- Center for Computational Molecular Biology, Brown University, Providence, RI, USA
| | - He Fang
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Dana L Jackson
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Sanjay Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Ruolan Qiu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Choli Lee
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
| | - Zhijun Duan
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, USA
- Division of Hematology, Department of Medicine, University of Washington, Seattle, USA
| | - Xinxian Deng
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
| | - William S Noble
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
| | - Christine M Disteche
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
- Department of Medicine, University of Washington, Seattle, WA, USA.
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30
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Dignum T, Varnum-Finney B, Srivatsan SR, Dozono S, Waltner O, Heck AM, Ishida T, Nourigat-McKay C, Jackson DL, Rafii S, Trapnell C, Bernstein ID, Hadland B. Multipotent progenitors and hematopoietic stem cells arise independently from hemogenic endothelium in the mouse embryo. Cell Rep 2021; 36:109675. [PMID: 34525376 PMCID: PMC8478150 DOI: 10.1016/j.celrep.2021.109675] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 06/28/2021] [Accepted: 08/16/2021] [Indexed: 12/24/2022] Open
Abstract
During embryogenesis, waves of hematopoietic progenitors develop from hemogenic endothelium (HE) prior to the emergence of self-renewing hematopoietic stem cells (HSCs). Although previous studies have shown that yolk-sac-derived erythromyeloid progenitors and HSCs emerge from distinct populations of HE, it remains unknown whether the earliest lymphoid-competent progenitors, multipotent progenitors, and HSCs originate from common HE. In this study, we demonstrate by clonal assays and single-cell transcriptomics that rare HE with functional HSC potential in the early murine embryo are distinct from more abundant HE with multilineage hematopoietic potential that fail to generate HSCs. Specifically, HSC-competent HE are characterized by expression of CXCR4 surface marker and by higher expression of genes tied to arterial programs regulating HSC dormancy and self-renewal. Taken together, these findings suggest a revised model of developmental hematopoiesis in which the initial populations of multipotent progenitors and HSCs arise independently from HE with distinct phenotypic and transcriptional properties.
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Affiliation(s)
- Tessa Dignum
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Barbara Varnum-Finney
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Sanjay R Srivatsan
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA
| | - Stacey Dozono
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Olivia Waltner
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Adam M Heck
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Takashi Ishida
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Cynthia Nourigat-McKay
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Dana L Jackson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA
| | - Shahin Rafii
- Department of Genetic Medicine, Ansary Stem Cell Institute, Howard Hughes Medical Institute, Weill Cornell Medical College, New York, NY 10021, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA
| | - Irwin D Bernstein
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98105, USA
| | - Brandon Hadland
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98105, USA.
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31
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Srivatsan SR, Regier MC, Barkan E, Franks JM, Packer JS, Grosjean P, Duran M, Saxton S, Ladd JJ, Spielmann M, Lois C, Lampe PD, Shendure J, Stevens KR, Trapnell C. Embryo-scale, single-cell spatial transcriptomics. Science 2021; 373:111-117. [PMID: 34210887 DOI: 10.1126/science.abb9536] [Citation(s) in RCA: 113] [Impact Index Per Article: 37.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 02/13/2021] [Accepted: 05/24/2021] [Indexed: 12/12/2022]
Abstract
Spatial patterns of gene expression manifest at scales ranging from local (e.g., cell-cell interactions) to global (e.g., body axis patterning). However, current spatial transcriptomics methods either average local contexts or are restricted to limited fields of view. Here, we introduce sci-Space, which retains single-cell resolution while resolving spatial heterogeneity at larger scales. Applying sci-Space to developing mouse embryos, we captured approximate spatial coordinates and whole transcriptomes of about 120,000 nuclei. We identify thousands of genes exhibiting anatomically patterned expression, leverage spatial information to annotate cellular subtypes, show that cell types vary substantially in their extent of spatial patterning, and reveal correlations between pseudotime and the migratory patterns of differentiating neurons. Looking forward, we anticipate that sci-Space will facilitate the construction of spatially resolved single-cell atlases of mammalian development.
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Affiliation(s)
- Sanjay R Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Mary C Regier
- Department of Bioengineering. University of Washington, Seattle, WA, USA.,Institute for Stem Cell and Regenerative Medicine, Seattle, WA, USA
| | - Eliza Barkan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.,Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
| | - Jennifer M Franks
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Parker Grosjean
- Department of Bioengineering. University of Washington, Seattle, WA, USA
| | - Madeleine Duran
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Sarah Saxton
- Department of Bioengineering. University of Washington, Seattle, WA, USA
| | - Jon J Ladd
- Translational Research Program, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Malte Spielmann
- Institute of Human Genetics, University of Lübeck, Lübeck, Germany.,Human Molecular Genomics Group, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Carlos Lois
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Paul D Lampe
- Translational Research Program, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA. .,Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.,Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.,Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Kelly R Stevens
- Department of Bioengineering. University of Washington, Seattle, WA, USA. .,Institute for Stem Cell and Regenerative Medicine, Seattle, WA, USA.,Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.,Department of Laboratory Medicine and Pathology, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA. .,Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.,Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
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32
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O'Connor SA, Feldman HM, Arora S, Hoellerbauer P, Toledo CM, Corrin P, Carter L, Kufeld M, Bolouri H, Basom R, Delrow J, McFaline-Figueroa JL, Trapnell C, Pollard SM, Patel A, Paddison PJ, Plaisier CL. Neural G0: a quiescent-like state found in neuroepithelial-derived cells and glioma. Mol Syst Biol 2021; 17:e9522. [PMID: 34101353 PMCID: PMC8186478 DOI: 10.15252/msb.20209522] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 04/30/2021] [Accepted: 05/14/2021] [Indexed: 12/13/2022] Open
Abstract
Single‐cell RNA sequencing has emerged as a powerful tool for resolving cellular states associated with normal and maligned developmental processes. Here, we used scRNA‐seq to examine the cell cycle states of expanding human neural stem cells (hNSCs). From these data, we constructed a cell cycle classifier that identifies traditional cell cycle phases and a putative quiescent‐like state in neuroepithelial‐derived cell types during mammalian neurogenesis and in gliomas. The Neural G0 markers are enriched with quiescent NSC genes and other neurodevelopmental markers found in non‐dividing neural progenitors. Putative glioblastoma stem‐like cells were significantly enriched in the Neural G0 cell population. Neural G0 cell populations and gene expression are significantly associated with less aggressive tumors and extended patient survival for gliomas. Genetic screens to identify modulators of Neural G0 revealed that knockout of genes associated with the Hippo/Yap and p53 pathways diminished Neural G0 in vitro, resulting in faster G1 transit, down‐regulation of quiescence‐associated markers, and loss of Neural G0 gene expression. Thus, Neural G0 represents a dynamic quiescent‐like state found in neuroepithelial‐derived cells and gliomas.
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Affiliation(s)
- Samantha A O'Connor
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Heather M Feldman
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sonali Arora
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Pia Hoellerbauer
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
| | - Chad M Toledo
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
| | - Philip Corrin
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Lucas Carter
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Megan Kufeld
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Hamid Bolouri
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ryan Basom
- Genomics and Bioinformatics Shared Resources, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jeffrey Delrow
- Genomics and Bioinformatics Shared Resources, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Steven M Pollard
- Edinburgh CRUK Cancer Research Centre, MRC Centre for Regenerative Medicine, The University of Edinburgh, Edinburgh, UK
| | - Anoop Patel
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Department of Neurosurgery, University of Washington, Seattle, WA, USA
| | - Patrick J Paddison
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
| | - Christopher L Plaisier
- School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA
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33
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Cao J, O'Day DR, Pliner HA, Kingsley PD, Deng M, Daza RM, Zager MA, Aldinger KA, Blecher-Gonen R, Zhang F, Spielmann M, Palis J, Doherty D, Steemers FJ, Glass IA, Trapnell C, Shendure J. A human cell atlas of fetal gene expression. Science 2020; 370:370/6518/eaba7721. [PMID: 33184181 DOI: 10.1126/science.aba7721] [Citation(s) in RCA: 298] [Impact Index Per Article: 74.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 09/10/2020] [Indexed: 12/14/2022]
Abstract
The gene expression program underlying the specification of human cell types is of fundamental interest. We generated human cell atlases of gene expression and chromatin accessibility in fetal tissues. For gene expression, we applied three-level combinatorial indexing to >110 samples representing 15 organs, ultimately profiling ~4 million single cells. We leveraged the literature and other atlases to identify and annotate hundreds of cell types and subtypes, both within and across tissues. Our analyses focused on organ-specific specializations of broadly distributed cell types (such as blood, endothelial, and epithelial), sites of fetal erythropoiesis (which notably included the adrenal gland), and integration with mouse developmental atlases (such as conserved specification of blood cells). These data represent a rich resource for the exploration of in vivo human gene expression in diverse tissues and cell types.
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Affiliation(s)
- Junyue Cao
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Diana R O'Day
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Hannah A Pliner
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Paul D Kingsley
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | - Mei Deng
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Riza M Daza
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Michael A Zager
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.,Center for Data Visualization, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Kimberly A Aldinger
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA.,Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA, USA
| | - Ronnie Blecher-Gonen
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Malte Spielmann
- Human Molecular Genomics Group, Max Planck Institute for Molecular Genetics, Berlin, Germany.,Institute of Human Genetics, University of Lübeck, Lübeck, Germany
| | - James Palis
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | - Dan Doherty
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA.,Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.,Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA, USA
| | | | - Ian A Glass
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA.,Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.,Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA. .,Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.,Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA. .,Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.,Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.,Howard Hughes Medical Institute, Seattle, WA, USA
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34
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Domcke S, Hill AJ, Daza RM, Cao J, O'Day DR, Pliner HA, Aldinger KA, Pokholok D, Zhang F, Milbank JH, Zager MA, Glass IA, Steemers FJ, Doherty D, Trapnell C, Cusanovich DA, Shendure J. A human cell atlas of fetal chromatin accessibility. Science 2020; 370:eaba7612. [PMID: 33184180 PMCID: PMC7785298 DOI: 10.1126/science.aba7612] [Citation(s) in RCA: 181] [Impact Index Per Article: 45.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 09/10/2020] [Indexed: 12/12/2022]
Abstract
The chromatin landscape underlying the specification of human cell types is of fundamental interest. We generated human cell atlases of chromatin accessibility and gene expression in fetal tissues. For chromatin accessibility, we devised a three-level combinatorial indexing assay and applied it to 53 samples representing 15 organs, profiling ~800,000 single cells. We leveraged cell types defined by gene expression to annotate these data and cataloged hundreds of thousands of candidate regulatory elements that exhibit cell type-specific chromatin accessibility. We investigated the properties of lineage-specific transcription factors (such as POU2F1 in neurons), organ-specific specializations of broadly distributed cell types (such as blood and endothelial), and cell type-specific enrichments of complex trait heritability. These data represent a rich resource for the exploration of in vivo human gene regulation in diverse tissues and cell types.
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Affiliation(s)
- Silvia Domcke
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Andrew J Hill
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Riza M Daza
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Junyue Cao
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Diana R O'Day
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
| | - Hannah A Pliner
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Kimberly A Aldinger
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA, USA
| | | | | | - Jennifer H Milbank
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Michael A Zager
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Center for Data Visualization, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ian A Glass
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA, USA
| | | | - Dan Doherty
- Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Center for Integrative Brain Research, Seattle Children's Research Institute, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Darren A Cusanovich
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
- Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ, USA
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
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35
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Dignum T, Varnum-Finney B, Srivatsan S, Dozono S, Waltner O, Heck A, Nourigat-McKay C, Rafii S, Bernstein I, Trapnell C, Hadland B. 3063 – DISTINCT POPULATIONS OF MULTIPOTENT PROGENITORS AND HEMATOPOIETIC STEM CELLS EMERGE FROM HEMOGENIC ENDOTHELIUM IN THE MURINE EMBRYO. Exp Hematol 2020. [DOI: 10.1016/j.exphem.2020.09.080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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36
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Cao J, Zhou W, Steemers F, Trapnell C, Shendure J. Sci-fate characterizes the dynamics of gene expression in single cells. Nat Biotechnol 2020; 38:980-988. [PMID: 32284584 PMCID: PMC7416490 DOI: 10.1038/s41587-020-0480-9] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Accepted: 03/06/2020] [Indexed: 02/07/2023]
Abstract
Gene expression programs change over time, differentiation and development, and in response to stimuli. However, nearly all techniques for profiling gene expression in single cells do not directly capture transcriptional dynamics. In the present study, we present a method for combined single-cell combinatorial indexing and messenger RNA labeling (sci-fate), which uses combinatorial cell indexing and 4-thiouridine labeling of newly synthesized mRNA to concurrently profile the whole and newly synthesized transcriptome in each of many single cells. We used sci-fate to study the cortisol response in >6,000 single cultured cells. From these data, we quantified the dynamics of the cell cycle and glucocorticoid receptor activation, and explored their intersection. Finally, we developed software to infer and analyze cell-state transitions. We anticipate that sci-fate will be broadly applicable to quantitatively characterize transcriptional dynamics in diverse systems.
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Affiliation(s)
- Junyue Cao
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
| | - Wei Zhou
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
| | | | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.
- Howard Hughes Medical Institute, Seattle, WA, USA.
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37
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Gabrovsek L, Collins KB, Aggarwal S, Saunders LM, Lau HT, Suh D, Sancak Y, Trapnell C, Ong SE, Smith FD, Scott JD. A-kinase-anchoring protein 1 (dAKAP1)-based signaling complexes coordinate local protein synthesis at the mitochondrial surface. J Biol Chem 2020; 295:10749-10765. [PMID: 32482893 PMCID: PMC7397098 DOI: 10.1074/jbc.ra120.013454] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 05/20/2020] [Indexed: 12/30/2022] Open
Abstract
Compartmentalization of macromolecules is a ubiquitous molecular mechanism that drives numerous cellular functions. The appropriate organization of enzymes in space and time enables the precise transmission and integration of intracellular signals. Molecular scaffolds constrain signaling enzymes to influence the regional modulation of these physiological processes. Mitochondrial targeting of protein kinases and protein phosphatases provides a means to locally control the phosphorylation status and action of proteins on the surface of this organelle. Dual-specificity protein kinase A anchoring protein 1 (dAKAP1) is a multivalent binding protein that targets protein kinase A (PKA), RNAs, and other signaling enzymes to the outer mitochondrial membrane. Many AKAPs recruit a diverse set of binding partners that coordinate a broad range of cellular processes. Here, results of MS and biochemical analyses reveal that dAKAP1 anchors additional components, including the ribonucleoprotein granule components La-related protein 4 (LARP4) and polyadenylate-binding protein 1 (PABPC1). Local translation of mRNAs at organelles is a means to spatially control the synthesis of proteins. RNA-Seq data demonstrate that dAKAP1 binds mRNAs encoding proteins required for mitochondrial metabolism, including succinate dehydrogenase. Functional studies suggest that the loss of dAKAP1-RNA interactions reduces mitochondrial electron transport chain activity. Hence, dAKAP1 plays a previously unappreciated role as a molecular interface between second messenger signaling and local protein synthesis machinery.
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Affiliation(s)
- Laura Gabrovsek
- Department of Pharmacology, University of Washington, Seattle, Washington, USA
- Program in Molecular and Cellular Biology, University of Washington, Seattle, Washington, USA
| | - Kerrie B Collins
- Department of Pharmacology, University of Washington, Seattle, Washington, USA
| | - Stacey Aggarwal
- Department of Pharmacology, University of Washington, Seattle, Washington, USA
| | - Lauren M Saunders
- Program in Molecular and Cellular Biology, University of Washington, Seattle, Washington, USA
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Ho-Tak Lau
- Department of Pharmacology, University of Washington, Seattle, Washington, USA
| | - Danny Suh
- Department of Pharmacology, University of Washington, Seattle, Washington, USA
| | - Yasemin Sancak
- Department of Pharmacology, University of Washington, Seattle, Washington, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | - Shao-En Ong
- Department of Pharmacology, University of Washington, Seattle, Washington, USA
| | - F Donelson Smith
- Department of Pharmacology, University of Washington, Seattle, Washington, USA
| | - John D Scott
- Department of Pharmacology, University of Washington, Seattle, Washington, USA
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38
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Liu SX, Gustafson HH, Jackson DL, Pun SH, Trapnell C. Trajectory analysis quantifies transcriptional plasticity during macrophage polarization. Sci Rep 2020; 10:12273. [PMID: 32703960 PMCID: PMC7378057 DOI: 10.1038/s41598-020-68766-w] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 05/04/2020] [Indexed: 11/30/2022] Open
Abstract
In recent years, macrophages have been shown to be tremendously plastic in both in vitro and in vivo settings; however, it remains unclear whether macrophages retain any persistent memory of past polarization states which may then impact their future repolarization to new states. Here, we perform deep transcriptomic profiling at high temporal resolution as macrophages are polarized with cytokines that drive them into "M1" and "M2" molecular states. We find through trajectory analysis of their global transcriptomic profiles that macrophages which are first polarized to M1 or M2 and then subsequently repolarized demonstrate little to no memory of their polarization history. We observe complete repolarization both from M1 to M2 and vice versa, and we find that macrophage transcriptional phenotypes are defined by the current cell microenvironment, rather than an amalgamation of past and present states.
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Affiliation(s)
- Serena X Liu
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Heather H Gustafson
- Department of Bioengineering, University of Washington, Seattle, WA, 98195, USA
- Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, WA, 98101, USA
| | - Dana L Jackson
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Suzie H Pun
- Department of Bioengineering, University of Washington, Seattle, WA, 98195, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
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39
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Sharon N, Vanderhooft J, Straubhaar J, Mueller J, Chawla R, Zhou Q, Engquist EN, Trapnell C, Gifford DK, Melton DA. Wnt Signaling Separates the Progenitor and Endocrine Compartments during Pancreas Development. Cell Rep 2020; 27:2281-2291.e5. [PMID: 31116975 DOI: 10.1016/j.celrep.2019.04.083] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 01/23/2019] [Accepted: 04/17/2019] [Indexed: 10/26/2022] Open
Abstract
In vitro differentiation of pluripotent cells into β cells is a promising alternative to cadaveric-islet transplantation as a cure for type 1 diabetes (T1D). During the directed differentiation of human embryonic stem cells (hESCS) by exogenous factors, numerous genes that affect the differentiation process are turned on and off autonomously. Manipulating these reactions could increase the efficiency of differentiation and provide a more complete control over the final composition of cell populations. To uncover in vitro autonomous responses, we performed single-cell RNA sequencing on hESCs as they differentiate in spherical clusters. We observed that endocrine cells and their progenitors exist beside one another in separate compartments that activate distinct genetic pathways. WNT pathway inhibition in the endocrine domain of the differentiating clusters reveals a necessary role for the WNT inhibitor APC during islet formation in vivo. Accordingly, WNT inhibition in vitro causes an increase in the proportion of differentiated endocrine cells.
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Affiliation(s)
- Nadav Sharon
- Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA
| | - Jordan Vanderhooft
- Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA
| | | | - Jonas Mueller
- Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02412, USA
| | - Raghav Chawla
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Division of Hematology/Oncology, Seattle Children's Hospital, Seattle, WA 98105, USA; Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Quan Zhou
- Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA
| | - Elise N Engquist
- Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Molecular & Cellular Biology Program, University of Washington, Seattle, WA 98195, USA
| | - David K Gifford
- Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA 02412, USA
| | - Douglas A Melton
- Department of Stem Cell and Regenerative Biology, Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA.
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40
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Hasle N, Cooke A, Srivatsan S, Huang H, Stephany JJ, Krieger Z, Jackson D, Tang W, Pendyala S, Monnat RJ, Trapnell C, Hatch EM, Fowler DM. High-throughput, microscope-based sorting to dissect cellular heterogeneity. Mol Syst Biol 2020; 16:e9442. [PMID: 32500953 PMCID: PMC7273721 DOI: 10.15252/msb.20209442] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 04/23/2020] [Accepted: 04/29/2020] [Indexed: 12/24/2022] Open
Abstract
Microscopy is a powerful tool for characterizing complex cellular phenotypes, but linking these phenotypes to genotype or RNA expression at scale remains challenging. Here, we present Visual Cell Sorting, a method that physically separates hundreds of thousands of live cells based on their visual phenotype. Automated imaging and phenotypic analysis directs selective illumination of Dendra2, a photoconvertible fluorescent protein expressed in live cells; these photoactivated cells are then isolated using fluorescence-activated cell sorting. First, we use Visual Cell Sorting to assess hundreds of nuclear localization sequence variants in a pooled format, identifying variants that improve nuclear localization and enabling annotation of nuclear localization sequences in thousands of human proteins. Second, we recover cells that retain normal nuclear morphologies after paclitaxel treatment, and then derive their single-cell transcriptomes to identify pathways associated with paclitaxel resistance in cancers. Unlike alternative methods, Visual Cell Sorting depends on inexpensive reagents and commercially available hardware. As such, it can be readily deployed to uncover the relationships between visual cellular phenotypes and internal states, including genotypes and gene expression programs.
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Affiliation(s)
- Nicholas Hasle
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | | | - Sanjay Srivatsan
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Heather Huang
- Divisions of Basic Sciences and Human BiologyFred Hutchinson Cancer Research CenterSeattleWAUSA
| | - Jason J Stephany
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Zachary Krieger
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Dana Jackson
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Weiliang Tang
- Department of PathologyUniversity of WashingtonSeattleWAUSA
| | - Sriram Pendyala
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Raymond J Monnat
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
- Department of PathologyUniversity of WashingtonSeattleWAUSA
| | - Cole Trapnell
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
| | - Emily M Hatch
- Divisions of Basic Sciences and Human BiologyFred Hutchinson Cancer Research CenterSeattleWAUSA
| | - Douglas M Fowler
- Department of Genome SciencesUniversity of WashingtonSeattleWAUSA
- Department of BioengineeringUniversity of WashingtonSeattleWAUSA
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41
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Hanchate N, Lee EJ, Ellis A, Kondoh K, Kuang D, Basom R, Trapnell C, Buck L. SUN-LB55 Connect-seq to Superimpose Molecular on Anatomical Neural Circuit Maps. J Endocr Soc 2020. [PMCID: PMC7208927 DOI: 10.1210/jendso/bvaa046.2259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Abstract
Animals exhibit instinctive behavioral and physiological responses to a variety of stressors to overcome danger and restore homeostasis. The physiological response to stress is governed by hypothalamic corticotropin-releasing hormone (CRH) neurons which regulate the hypothalamic-pituitary-adrenal axis to control blood levels of stress hormones. At present, the neural circuits and signaling mechanisms through which different stress signals are transmitted to CRH neurons are poorly understood. Here, we devised a new method, termed “Connect-Seq,” which couples single-cell transcriptomics and retrograde viral tracing to define the molecular identities of individual neurons in neural circuits. As a proof of concept, using Connect-Seq, we profiled single-cell transcriptomes of 124 brain neurons upstream of CRH neurons and identified subpopulations that are likely to communicate stress-related signals to CRH neurons. Analyses of single-cell transcriptomes for ‘fast-acting’ neurotransmitters revealed subsets of upstream neurons that expressed markers of inhibitory GABAergic neurons or excitatory glutamatergic neurons. Further analyses showed a number of other neuromodulators/neurotransmitters in upstream neurons, including acetylcholine, dopamine, histamine, and 43 different neuropeptides, each expressed in individual neurons or subsets of neurons. These findings reveal extreme molecular heterogeneity among upstream neurons and suggest the upstream neurons use diverse neurochemical messengers to transmit signals to CRH neurons. Many neurons coexpressed different neurotransmitters/neuromodulators, suggesting the co-release of neurochemical messengers. Dual labeling of brain sections verified expression of specific neuromodulators in virus-infected neurons upstream of CRH neurons in selected brain areas. Our results indicate that Connect-Seq can be applied to genetically dissect neural circuits and uncover molecular identities of neurons upstream of specific neuronal types of known function. Molecular markers identified in those neurons lay a foundation for the application of cell-specific genetic tools to investigate the functions and physiological significance of diverse neuronal subsets within complex neural circuits.
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Affiliation(s)
| | | | | | - Kunio Kondoh
- National Institute for Physiological Sciences, Okazaki, Japan
| | | | - Ryan Basom
- FRED HUTCHINSON CANCER RES CENTER, Seattle, WA, USA
| | | | - Linda Buck
- FRED HUTCHINSON CANCER RES CENTER, Seattle, WA, USA
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42
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Furlan SN, Singh K, Lopez C, Tkachev V, Hunt DJ, Hibbard J, Betz KM, Blazar BR, Trapnell C, Kean LS. IL-2 enhances ex vivo-expanded regulatory T-cell persistence after adoptive transfer. Blood Adv 2020; 4:1594-1605. [PMID: 32311015 PMCID: PMC7189290 DOI: 10.1182/bloodadvances.2019001248] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 03/03/2020] [Indexed: 01/28/2023] Open
Abstract
As regulatory T cell (Treg) adoptive therapy continues to develop clinically, there is a need to determine which immunomodulatory agents pair most compatibly with Tregs to enable persistence and stabilize suppressor function. Prior work has shown that mechanistic target of rapamycin inhibition can increase the stability of thymic Tregs. In this study, we investigated the transcriptomic signatures of ex vivo-expanded Tregs after adoptive transfer in the setting of clinically relevant immunosuppression using a nonhuman primate (NHP) model as a prelude to future transplant studies. Here, we found that adding interleukin-2 (IL-2) to rapamycin in vivo supported a logarithmic increase in the half-life of adoptively transferred carboxyfluorescein diacetate succinimidyl ester-labeled, autologous NHP Tregs, effectively doubling the number of cells in the peripheral blood Treg compartment compared with Treg infusion when rapamycin was given alone. Using single-cell transcriptomics, we found that transferred ex vivo-expanded Tregs initially exhibit a gene expression signature consistent with an activated state. Moreover, those cells with the highest levels of activation also expressed genes associated with p53-mediated apoptosis. In contrast, transferred Tregs interrogated at day +20 posttransfer demonstrated a gene signature more similar to published profiles of resting Tregs. Together, these preclinical data further support combining IL-2 and rapamycin in vivo as adjunctive therapy for ex vivo-expanded adoptively transferred Tregs and suggest that the activation status of ex vivo-expanded Tregs is critical to their persistence.
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Affiliation(s)
- Scott N Furlan
- Fred Hutchinson Cancer Research Center and Department of Pediatrics, University of Washington, Seattle, WA
| | | | - Christina Lopez
- Seattle Children's Research Institute and Department of Pediatrics, University of Washington, Seattle, WA
| | - Victor Tkachev
- Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA
| | - Daniel Joel Hunt
- Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA
| | - James Hibbard
- Seattle Children's Research Institute and Department of Pediatrics, University of Washington, Seattle, WA
| | - Kayla M Betz
- Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA
| | - Bruce R Blazar
- Division of Blood and Marrow Transplantation, Department of Pediatrics, University of Minnesota, Minneapolis, MN; and
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA
| | - Leslie S Kean
- Boston Children's Hospital and Department of Pediatrics, Harvard Medical School, Boston, MA
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43
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McFaline-Figueroa JL, Trapnell C, Cuperus JT. The promise of single-cell genomics in plants. Curr Opin Plant Biol 2020; 54:114-121. [PMID: 32388018 PMCID: PMC7971421 DOI: 10.1016/j.pbi.2020.04.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 03/01/2020] [Accepted: 04/03/2020] [Indexed: 05/20/2023]
Abstract
Single-cell genomic approaches have the potential to revolutionize the study of plant systems. Here, we highlight newly developed techniques to analyze transcriptomes at single-cell resolution. We focus on the rigorous standards necessary to generate and compare these data sets introducing analysis methods that can be applied to interpret their results. Lastly, we discuss the inherent limitations of single-cell studies and address future directions for plant single-cell genomics.
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Affiliation(s)
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA; Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Josh T Cuperus
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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44
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Qiu X, Rahimzamani A, Wang L, Ren B, Mao Q, Durham T, McFaline-Figueroa JL, Saunders L, Trapnell C, Kannan S. Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe. Cell Syst 2020; 10:265-274.e11. [PMID: 32135093 PMCID: PMC7223477 DOI: 10.1016/j.cels.2020.02.003] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 06/08/2019] [Accepted: 02/05/2020] [Indexed: 01/13/2023]
Abstract
Here, we present Scribe (https://github.com/aristoteleo/Scribe-py), a toolkit for detecting and visualizing causal regulatory interactions between genes and explore the potential for single-cell experiments to power network reconstruction. Scribe employs restricted directed information to determine causality by estimating the strength of information transferred from a potential regulator to its downstream target. We apply Scribe and other leading approaches for causal network reconstruction to several types of single-cell measurements and show that there is a dramatic drop in performance for "pseudotime"-ordered single-cell data compared with true time-series data. We demonstrate that performing causal inference requires temporal coupling between measurements. We show that methods such as "RNA velocity" restore some degree of coupling through an analysis of chromaffin cell fate commitment. These analyses highlight a shortcoming in experimental and computational methods for analyzing gene regulation at single-cell resolution and suggest ways of overcoming it.
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Affiliation(s)
- Xiaojie Qiu
- Molecular & Cellular Biology Program, University of Washington, Seattle, WA, USA; Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Arman Rahimzamani
- Department of Electrical Engineering, University of Washington, Seattle, WA, USA
| | - Li Wang
- Department of Mathematics, University of Texas at Arlington, Arlington, TX, USA
| | - Bingcheng Ren
- College of Information Science and Engineering, Hunan Normal University, Changsha, China
| | - Qi Mao
- HERE company, Chicago, IL 60606, USA
| | - Timothy Durham
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Lauren Saunders
- Molecular & Cellular Biology Program, University of Washington, Seattle, WA, USA; Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Cole Trapnell
- Molecular & Cellular Biology Program, University of Washington, Seattle, WA, USA; Department of Genome Sciences, University of Washington, Seattle, WA, USA; Brotman-Baty Institute for Precision Medicine, Seattle, WA, USA.
| | - Sreeram Kannan
- Department of Electrical Engineering, University of Washington, Seattle, WA, USA.
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45
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Dorrity MW, Saunders LM, Queitsch C, Fields S, Trapnell C. Dimensionality reduction by UMAP to visualize physical and genetic interactions. Nat Commun 2020; 11:1537. [PMID: 32210240 PMCID: PMC7093466 DOI: 10.1038/s41467-020-15351-4] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 02/29/2020] [Indexed: 12/13/2022] Open
Abstract
Dimensionality reduction is often used to visualize complex expression profiling data. Here, we use the Uniform Manifold Approximation and Projection (UMAP) method on published transcript profiles of 1484 single gene deletions of Saccharomyces cerevisiae. Proximity in low-dimensional UMAP space identifies groups of genes that correspond to protein complexes and pathways, and finds novel protein interactions, even within well-characterized complexes. This approach is more sensitive than previous methods and should be broadly useful as additional transcriptome datasets become available for other organisms.
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Affiliation(s)
- Michael W Dorrity
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Lauren M Saunders
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Christine Queitsch
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA
| | - Stanley Fields
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
- Department of Medicine, University of Washington, Seattle, WA, 98195, USA.
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195, USA.
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46
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Srivatsan SR, McFaline-Figueroa JL, Ramani V, Saunders L, Cao J, Packer J, Pliner HA, Jackson DL, Daza RM, Christiansen L, Zhang F, Steemers F, Shendure J, Trapnell C. Massively multiplex chemical transcriptomics at single-cell resolution. Science 2019; 367:45-51. [PMID: 31806696 DOI: 10.1126/science.aax6234] [Citation(s) in RCA: 142] [Impact Index Per Article: 28.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 11/18/2019] [Indexed: 12/11/2022]
Abstract
High-throughput chemical screens typically use coarse assays such as cell survival, limiting what can be learned about mechanisms of action, off-target effects, and heterogeneous responses. Here, we introduce "sci-Plex," which uses "nuclear hashing" to quantify global transcriptional responses to thousands of independent perturbations at single-cell resolution. As a proof of concept, we applied sci-Plex to screen three cancer cell lines exposed to 188 compounds. In total, we profiled ~650,000 single-cell transcriptomes across ~5000 independent samples in one experiment. Our results reveal substantial intercellular heterogeneity in response to specific compounds, commonalities in response to families of compounds, and insight into differential properties within families. In particular, our results with histone deacetylase inhibitors support the view that chromatin acts as an important reservoir of acetate in cancer cells.
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Affiliation(s)
- Sanjay R Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.,Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | | | - Vijay Ramani
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.,Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Lauren Saunders
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Junyue Cao
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Jonathan Packer
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Hannah A Pliner
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Dana L Jackson
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Riza M Daza
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | | | | | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA. .,Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.,Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.,Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA. .,Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.,Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
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47
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Snyder MP, Lin S, Posgai A, Atkinson M, Regev A, Rood J, Rozenblatt-Rosen O, Gaffney L, Hupalowska A, Satija R, Gehlenborg N, Shendure J, Laskin J, Harbury P, Nystrom NA, Silverstein JC, Bar-Joseph Z, Zhang K, Börner K, Lin Y, Conroy R, Procaccini D, Roy AL, Pillai A, Brown M, Galis ZS, Cai L, Shendure J, Trapnell C, Lin S, Jackson D, Snyder MP, Nolan G, Greenleaf WJ, Lin Y, Plevritis S, Ahadi S, Nevins SA, Lee H, Schuerch CM, Black S, Venkataraaman VG, Esplin E, Horning A, Bahmani A, Zhang K, Sun X, Jain S, Hagood J, Pryhuber G, Kharchenko P, Atkinson M, Bodenmiller B, Brusko T, Clare-Salzler M, Nick H, Otto K, Posgai A, Wasserfall C, Jorgensen M, Brusko M, Maffioletti S, Caprioli RM, Spraggins JM, Gutierrez D, Patterson NH, Neumann EK, Harris R, deCaestecker M, Fogo AB, van de Plas R, Lau K, Cai L, Yuan GC, Zhu Q, Dries R, Yin P, Saka SK, Kishi JY, Wang Y, Goldaracena I, Laskin J, Ye D, Burnum-Johnson KE, Piehowski PD, Ansong C, Zhu Y, Harbury P, Desai T, Mulye J, Chou P, Nagendran M, Bar-Joseph Z, Teichmann SA, Paten B, Murphy RF, Ma J, Kiselev VY, Kingsford C, Ricarte A, Keays M, Akoju SA, Ruffalo M, Gehlenborg N, Kharchenko P, Vella M, McCallum C, Börner K, Cross LE, Friedman SH, Heiland R, Herr B, Macklin P, Quardokus EM, Record L, Sluka JP, Weber GM, Nystrom NA, Silverstein JC, Blood PD, Ropelewski AJ, Shirey WE, Scibek RM, Mabee P, Lenhardt WC, Robasky K, Michailidis S, Satija R, Marioni J, Regev A, Butler A, Stuart T, Fisher E, Ghazanfar S, Rood J, Gaffney L, Eraslan G, Biancalani T, Vaishnav ED, Conroy R, Procaccini D, Roy A, Pillai A, Brown M, Galis Z, Srinivas P, Pawlyk A, Sechi S, Wilder E, Anderson J. The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. Nature 2019; 574:187-192. [PMID: 31597973 PMCID: PMC6800388 DOI: 10.1038/s41586-019-1629-x] [Citation(s) in RCA: 268] [Impact Index Per Article: 53.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 09/09/2019] [Indexed: 12/12/2022]
Abstract
Transformative technologies are enabling the construction of three-dimensional maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas Program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible three-dimensional molecular and cellular atlas of the human body, in health and under various disease conditions.
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48
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Packer JS, Zhu Q, Huynh C, Sivaramakrishnan P, Preston E, Dueck H, Stefanik D, Tan K, Trapnell C, Kim J, Waterston RH, Murray JI. A lineage-resolved molecular atlas of C. elegans embryogenesis at single-cell resolution. Science 2019; 365:eaax1971. [PMID: 31488706 PMCID: PMC7428862 DOI: 10.1126/science.aax1971] [Citation(s) in RCA: 230] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 08/21/2019] [Indexed: 12/18/2022]
Abstract
Caenorhabditis elegans is an animal with few cells but a wide diversity of cell types. In this study, we characterize the molecular basis for their specification by profiling the transcriptomes of 86,024 single embryonic cells. We identify 502 terminal and preterminal cell types, mapping most single-cell transcriptomes to their exact position in C. elegans' invariant lineage. Using these annotations, we find that (i) the correlation between a cell's lineage and its transcriptome increases from middle to late gastrulation, then falls substantially as cells in the nervous system and pharynx adopt their terminal fates; (ii) multilineage priming contributes to the differentiation of sister cells at dozens of lineage branches; and (iii) most distinct lineages that produce the same anatomical cell type converge to a homogenous transcriptomic state.
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Affiliation(s)
- Jonathan S Packer
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Qin Zhu
- Genomics and Computational Biology Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
| | - Chau Huynh
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Priya Sivaramakrishnan
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elicia Preston
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hannah Dueck
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Derek Stefanik
- Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Kai Tan
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Junhyong Kim
- Department of Biology, University of Pennsylvania, Philadelphia, PA, USA.
| | - Robert H Waterston
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
| | - John I Murray
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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49
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McFaline-Figueroa JL, Hill AJ, Qiu X, Jackson D, Shendure J, Trapnell C. A pooled single-cell genetic screen identifies regulatory checkpoints in the continuum of the epithelial-to-mesenchymal transition. Nat Genet 2019; 51:1389-1398. [PMID: 31477929 PMCID: PMC6756480 DOI: 10.1038/s41588-019-0489-5] [Citation(s) in RCA: 104] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 07/23/2019] [Indexed: 12/20/2022]
Abstract
Integrating single-cell trajectory analysis with pooled genetic screening could reveal the genetic architecture that guides cellular decisions in development and disease. We applied this paradigm to probe the genetic circuitry that controls epithelial-to-mesenchymal transition (EMT). We used single-cell RNA sequencing to profile epithelial cells undergoing a spontaneous spatially determined EMT in the presence or absence of transforming growth factor-β. Pseudospatial trajectory analysis identified continuous waves of gene regulation as opposed to discrete 'partial' stages of EMT. KRAS was connected to the exit from the epithelial state and the acquisition of a fully mesenchymal phenotype. A pooled single-cell CRISPR-Cas9 screen identified EMT-associated receptors and transcription factors, including regulators of KRAS, whose loss impeded progress along the EMT. Inhibiting the KRAS effector MEK and its upstream activators EGFR and MET demonstrates that interruption of key signaling events reveals regulatory 'checkpoints' in the EMT continuum that mimic discrete stages, and reconciles opposing views of the program that controls EMT.
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Affiliation(s)
| | - Andrew J Hill
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Xiaojie Qiu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
| | - Dana Jackson
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.
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50
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Cesana M, Guo MH, Cacchiarelli D, Wahlster L, Barragan J, Doulatov S, Vo LT, Salvatori B, Trapnell C, Clement K, Cahan P, Tsanov KM, Sousa PM, Tazon-Vega B, Bolondi A, Giorgi FM, Califano A, Rinn JL, Meissner A, Hirschhorn JN, Daley GQ. A CLK3-HMGA2 Alternative Splicing Axis Impacts Human Hematopoietic Stem Cell Molecular Identity throughout Development. Cell Stem Cell 2019; 22:575-588.e7. [PMID: 29625070 DOI: 10.1016/j.stem.2018.03.012] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Revised: 10/10/2017] [Accepted: 03/14/2018] [Indexed: 12/21/2022]
Abstract
While gene expression dynamics have been extensively cataloged during hematopoietic differentiation in the adult, less is known about transcriptome diversity of human hematopoietic stem cells (HSCs) during development. To characterize transcriptional and post-transcriptional changes in HSCs during development, we leveraged high-throughput genomic approaches to profile miRNAs, lincRNAs, and mRNAs. Our findings indicate that HSCs manifest distinct alternative splicing patterns in key hematopoietic regulators. Detailed analysis of the splicing dynamics and function of one such regulator, HMGA2, identified an alternative isoform that escapes miRNA-mediated targeting. We further identified the splicing kinase CLK3 that, by regulating HMGA2 splicing, preserves HMGA2 function in the setting of an increase in let-7 miRNA levels, delineating how CLK3 and HMGA2 form a functional axis that influences HSC properties during development. Collectively, our study highlights molecular mechanisms by which alternative splicing and miRNA-mediated post-transcriptional regulation impact the molecular identity and stage-specific developmental features of human HSCs.
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Affiliation(s)
- Marcella Cesana
- Stem Cell Program, Division of Hematology/Oncology, Manton Center for Orphan Disease Research, Boston Children's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02115, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA
| | - Michael H Guo
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Endocrinology, Boston Children's Hospital, Boston, MA 02115, USA; Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Davide Cacchiarelli
- Harvard Stem Cell Institute, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Telethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli 80078, Italy; Department of Translational Medicine, University of Naples "Federico II", Naples 80131, Italy
| | - Lara Wahlster
- Stem Cell Program, Division of Hematology/Oncology, Manton Center for Orphan Disease Research, Boston Children's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02115, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA
| | - Jessica Barragan
- Stem Cell Program, Division of Hematology/Oncology, Manton Center for Orphan Disease Research, Boston Children's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02115, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA
| | - Sergei Doulatov
- Division of Hematology, University of Washington, Seattle, WA 98195, USA
| | - Linda T Vo
- Stem Cell Program, Division of Hematology/Oncology, Manton Center for Orphan Disease Research, Boston Children's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02115, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA
| | - Beatrice Salvatori
- Department of Systems Biology, Columbia University, New York, NY 10032, USA
| | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA 98115, USA
| | - Kendell Clement
- Harvard Stem Cell Institute, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Patrick Cahan
- Department of Biomedical Engineering, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Kaloyan M Tsanov
- Stem Cell Program, Division of Hematology/Oncology, Manton Center for Orphan Disease Research, Boston Children's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02115, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA
| | - Patricia M Sousa
- Stem Cell Program, Division of Hematology/Oncology, Manton Center for Orphan Disease Research, Boston Children's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02115, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA
| | - Barbara Tazon-Vega
- Harvard Stem Cell Institute, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Adriano Bolondi
- Stem Cell Program, Division of Hematology/Oncology, Manton Center for Orphan Disease Research, Boston Children's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA
| | - Federico M Giorgi
- Department of Systems Biology, Columbia University, New York, NY 10032, USA
| | - Andrea Califano
- Department of Systems Biology, Columbia University, New York, NY 10032, USA; Departments of Biomedical Informatics, Biochemistry and Molecular Biophysics, JP Sulzberger Columbia Genome Center, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY 10032, USA
| | - John L Rinn
- Harvard Stem Cell Institute, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; University of Colorado Boulder Biofrontiers, Boulder, CO 80301, USA
| | - Alexander Meissner
- Harvard Stem Cell Institute, Cambridge, MA 02138, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Joel N Hirschhorn
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Endocrinology, Boston Children's Hospital, Boston, MA 02115, USA; Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - George Q Daley
- Stem Cell Program, Division of Hematology/Oncology, Manton Center for Orphan Disease Research, Boston Children's Hospital and Dana-Farber Cancer Institute, Boston, MA 02115, USA; Department of Biological Chemistry and Molecular Pharmacology, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02115, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA.
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