scholarly journals A Single Cell Atlas of Lung Development

2021 ◽  
Author(s):  
Nicholas M. Negretti ◽  
Erin J. Plosa ◽  
John T. Benjamin ◽  
Bryce A. Schuler ◽  
A. Christian Habermann ◽  
...  

SummaryLung organogenesis requires precisely timed shifts in the spatial organization and function of parenchymal cells, especially during the later stages of lung development. To investigate the mechanisms governing lung parenchymal dynamics during development, we performed a single cell RNA sequencing (scRNA-seq) time-series yielding 92,238 epithelial, endothelial, and mesenchymal cells across 8 time points from embryonic day 12 (E12) to postnatal day 14 (P14) in mice. We combined new computational analyses with RNA in situ hybridization to explore transcriptional velocity, fate likelihood prediction, and spatiotemporal localization of cell populations during the transition between the saccular and alveolar stages. We interrogated this atlas to illustrate the complexity of type 1 pneumocyte function during the saccular and alveolar stages, and we demonstrate an integrated view of the cellular dynamics during lung development.

Development ◽  
2021 ◽  
Vol 148 (24) ◽  
Author(s):  
Nicholas M. Negretti ◽  
Erin J. Plosa ◽  
John T. Benjamin ◽  
Bryce A. Schuler ◽  
A. Christian Habermann ◽  
...  

ABSTRACT Lung organogenesis requires precise timing and coordination to effect spatial organization and function of the parenchymal cells. To provide a systematic broad-based view of the mechanisms governing the dynamic alterations in parenchymal cells over crucial periods of development, we performed a single-cell RNA-sequencing time-series yielding 102,571 epithelial, endothelial and mesenchymal cells across nine time points from embryonic day 12 to postnatal day 14 in mice. Combining computational fate-likelihood prediction with RNA in situ hybridization and immunofluorescence, we explore lineage relationships during the saccular to alveolar stage transition. The utility of this publicly searchable atlas resource (www.sucrelab.org/lungcells) is exemplified by discoveries of the complexity of type 1 pneumocyte function and characterization of mesenchymal Wnt expression patterns during the saccular and alveolar stages – wherein major expansion of the gas-exchange surface occurs. We provide an integrated view of cellular dynamics in epithelial, endothelial and mesenchymal cell populations during lung organogenesis.


2019 ◽  
Author(s):  
Qiyu Chen ◽  
Dena Leshkowitz ◽  
Janna Blechman ◽  
Gil Levkowitz

AbstractThe neurohypophysis (NH), located at the posterior lobe of the pituitary, is a major neuroendocrine tissue, which mediates osmotic balance, blood pressure, reproduction, and lactation by means of releasing the neurohormones oxytocin and arginine-vasopressin from the brain into the peripheral blood circulation. The major cellular components of the NH are hypothalamic axonal termini, fenestrated endothelia and pituicytes, the resident astroglia. However, despite the physiological importance of the NH, the exact molecular signature defining neurohypophyseal cell types and in particular the pituicytes, remains unclear. Using single cell RNA sequencing, we captured seven distinct cell types in the NH and intermediate lobe (IL) of adult male mouse. We revealed novel pituicyte markers showing higher specificity than previously reported. Single molecule in situ hybridization revealed spatial organization of the major cell types implying intercellular communications. We present a comprehensive molecular and cellular characterization of neurohypophyseal cell-types serving as a valuable resource for further functional research.Significance StatementThe neurohypophysis (NH) is a major neuroendocrine interface, which allows the brain to regulate the function of peripheral organs in response to specific physiological demands. Despite its importance, a comprehensive molecular description of cell identities in the NH is still lacking. Utilizing single cell RNA sequencing technology, we identified the transcriptomes of five major neurohypophyseal cell types in the adult male mice and mapped the spatial distribution of selected cell types in situ. We revealed an unexpected cellular heterogeneity of the neurohypophysis and provide novel molecular markers for neurohypophyseal cell types with higher specificity than previously reported.


2021 ◽  
Author(s):  
Ivana Mizikova ◽  
Flore Lesage ◽  
Chanele Cyr-Depauw ◽  
David Parker Cook ◽  
Maria Hurskainen ◽  
...  

Late lung development is a period of alveolar and microvascular formation, which is pivotal in ensuring sufficient and effective gas exchange. Defects in late lung development manifest in premature infants as a chronic lung disease named bronchopulmonary dysplasia (BPD). Numerous studies demonstrated the therapeutic properties of exogenous bone marrow and umbilical cord-derived mesenchymal stromal cells (MSCs) in experimental BPD. However, very little is known regarding the regenerative capacity of resident lung MSCs (L-MSCs) during normal development and in BPD. In this study we aimed to characterize the L-MSC population in homeostasis and upon injury. We used single-cell RNA sequencing (scRNA-seq) to profile in situ Ly6a+ L-MSCs in the lungs of normal and O2-exposed neonatal mice (a well-established model to mimic BPD) at three developmental timepoints (postnatal days 3, 7 and 14). Hyperoxia exposure increased the number, and altered the expression profile of L-MSCs, particularly by increasing the expression of multiple pro-inflammatory, pro-fibrotic, and anti-angiogenic genes. In order to identify potential changes induced in the L-MSCs transcriptome by storage and culture, we profiled 15,000 Ly6a+ L-MSCs after in vitro culture. We observed great differences in expression profiles of in situ and cultured L-MSCs, particularly those derived from healthy lungs. Additionally, we have identified the location of L-MSCs in the developing lung and propose Serpinf1 as a novel, culture-stable marker of L-MSCs. Finally, cell communication analysis suggests inflammatory signals from immune and endothelial cells as main drivers of hyperoxia-induced changes in L-MSCs transcriptome.


2019 ◽  
Author(s):  
Sydney B. Blattman ◽  
Wenyan Jiang ◽  
Panos Oikonomou ◽  
Saeed Tavazoie

AbstractDespite longstanding appreciation of gene expression heterogeneity in isogenic bacterial populations, affordable and scalable technologies for studying single bacterial cells have been limited. While single-cell RNA sequencing (scRNA-seq) has revolutionized studies of transcriptional heterogeneity in diverse eukaryotic systems, application of scRNA-seq to prokaryotes has been hindered by their extremely low mRNA abundance, lack of mRNA polyadenylation, and thick cell walls. Here, we present Prokaryotic Expression-profiling by Tagging RNA In Situ and sequencing (PETRI-seq), a low-cost, high-throughput, prokaryotic scRNA-seq pipeline that overcomes these technical obstacles. PETRI-seq uses in situ combinatorial indexing to barcode transcripts from tens of thousands of cells in a single experiment. PETRI-seq captures single cell transcriptomes of Gram-negative and Gram-positive bacteria with high purity and low bias, with median capture rates >200 mRNAs/cell for exponentially growing E. coli. These characteristics enable robust discrimination of cell-states corresponding to different phases of growth. When applied to wild-type S. aureus, PETRI-seq revealed a rare sub-population of cells undergoing prophage induction. We anticipate broad utility of PETRI-seq in defining single-cell states and their dynamics in complex microbial communities.


Cells ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1751 ◽  
Author(s):  
Rishikesh Kumar Gupta ◽  
Jacek Kuznicki

The present review discusses recent progress in single-cell RNA sequencing (scRNA-seq), which can describe cellular heterogeneity in various organs, bodily fluids, and pathologies (e.g., cancer and Alzheimer’s disease). We outline scRNA-seq techniques that are suitable for investigating cellular heterogeneity that is present in cell populations with very high resolution of the transcriptomic landscape. We summarize scRNA-seq findings and applications of this technology to identify cell types, activity, and other features that are important for the function of different bodily organs. We discuss future directions for scRNA-seq techniques that can link gene expression, protein expression, cellular function, and their roles in pathology. We speculate on how the field could develop beyond its present limitations (e.g., performing scRNA-seq in situ and in vivo). Finally, we discuss the integration of machine learning and artificial intelligence with cutting-edge scRNA-seq technology, which could provide a strong basis for designing precision medicine and targeted therapy in the future.


2017 ◽  
Vol 199 (1) ◽  
pp. 323-335 ◽  
Author(s):  
Karen Cerosaletti ◽  
Fariba Barahmand-pour-Whitman ◽  
Junbao Yang ◽  
Hannah A. DeBerg ◽  
Matthew J. Dufort ◽  
...  

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 983-983
Author(s):  
Christopher J. Ng ◽  
Alice Liu ◽  
Katrina J. Ashworth ◽  
Kenneth L. Jones ◽  
Jorge Di Paola

Abstract Background Von Willebrand disease (VWD) type 1 is characterized by low von Willebrand factor (VWF) levels and mucocutaneous bleeding (MCB). Approximately 50% of patients with VWD type 1 exhibit mutations in VWF. However, a large number of patients with VWF levels between 30-50 IU/dL do not show mutations in VWF indicating that other mechanisms are involved. Blood outgrowth endothelial cells (BOECs) are a source of donor-specific endothelial cells and have demonstrated impairments in VWF release and packaging in patients with VWD. BOECs have not been evaluated in individuals with low VWF levels. Hypothesis/Objective We hypothesize that BOECs from individuals with low VWF levels will reveal unique VWF and genome wide epigenetic signatures that may explain the altered plasma VWF levels seen in these patients. Methods BOEC Derivation: Patients with low VWF levels and MCB (30-50 IU/dL) were enrolled in an IRB-approved study. The mononuclear layer from whole blood was isolated and plated onto collagen coated plates. After extended incubation, the presence of BOECs was confirmed by visual morphology and flow cytometry. VWF Transcriptional Analysis: 9 cells lines including: a) 2 BOEC cell lines from control individuals and a HUVEC cell line and c) BOECs from individuals with low VWF, were assayed via single cell RNA sequencing. Bioinformatic analysis included generalized transcriptional expression and single cell expression of VWF. RNA-sequencing expression data was filtered according to the following standardized algorithm. Cells that were defined as monocytes (TYROBP expression > 2 copies) were excluded. Following monocyte exclusions, cells were determined to be of endothelial origin if they demonstrated the presence of PECAM1, CDH5, ROBO4, ESAM, TIE1, or NOTCH4 transcripts, as previously reported by Butler et al. (Cell Reports, 2016). Epigenetic Profiling:Genomic DNA was extracted from BOECs and from peripheral leukocytes (paired to the BOEC draw sample) and analyzed for DNA methylation via an Illumina 850K methylation array. Results BOEC Derivation:A total of eight BOEC lines were generated, 6 from individuals with MCB and VWF levels between 30-50 IU/dL (5:1 female: male ratio, age range 11-54 years) and 2 from healthy controls (2 female, age range 22-39 years) with normal VWF levels and no symptoms of MCB. VWF Expression is decreased in Low VWF Samples: Overall transcript expression of VWF was significantly decreased in low VWF BOEC samples (5.341 transcripts/cell) vs. control endothelial cells (9.076 transcripts/cell), P <0.0001. Generalized Methylation Profiling:Via adjusted P-values, there were 129 methylation sites across multiple genes that were differentially methylated in Low VWF BOECs vs. control endothelial cells. A cluster plot demonstrates that the two control BOEC samples were generally clustered as compared to the other samples (Figure 1A). VWF Specific Methylation: The Illumina 850K array covers 70 prospective methylation sites in VWF, ranging from upstream of the transcriptional start site through the length of the gene. A previous report demonstrated that differences in 8 methylation sites in the VWF promoter correlated with VWF expression (Yuan et al. Nature Communications 2016). 7 of these sites are covered in our assay. Across all of those 7 sites, there was significant increased methylation of the CpG islands in the Low VWF BOECs when compared to the control endothelial cells (Figure 1B). Stability of VWF Methylation:To ensure that the isolation and culture of BOECS does not significantly affect the methylation status of VWF, we conducted a Pearson correlation analysis and demonstrated that peripheral leukocyte (at time of blood draw) and BOEC methylation is highly correlated at VWF specific methylation sites (R2 0.6, P = 0.0004) (Figure 1C). Conclusions Single cell RNA sequencing and genome wide methylation assays of BOECs from individuals with low VWF reveal significant differences in generalized methylation status when compared to BOECs from individuals with normal VWF levels and HUVECs. There is transcriptional downregulation of VWF in low VWF BOECs that is associated with hypermethylation of 7 specific VWF CpG sites in the VWF promoter. Additional sites are being evaluated. Finally, we validated the methylation status of BOECs by demonstrating high correlation with the methylation status of leukocytes from the same individuals. Figure 1 Figure 1. Disclosures Ng: Shire: Consultancy; CSL Behring: Consultancy.


2021 ◽  
Author(s):  
Nicholas Navin ◽  
Runmin Wei ◽  
Siyuan He ◽  
Shanshan Bai ◽  
Emi Sei ◽  
...  

Single cell RNA sequencing (scRNA-seq) methods can profile the transcriptomes of single cells but cannot preserve spatial information. Conversely, spatial transcriptomics (ST) assays can profile spatial regions in tissue sections, but do not have single cell genomic resolution. Here, we developed a computational approach called SChart, that combines these two datasets to achieve single cell spatial mapping of cell types, cell states and continuous phenotypes. We applied SChart to reconstruct cellular spatial structures in existing datasets from normal mouse brain and kidney tissues to validate our approach. We also performed scRNA-seq and ST experiments on two ductal carcinoma in situ (DCIS) tissues and applied SChart to identify subclones that were restricted to different ducts, and specific T cell states adjacent to the tumor areas. Our data shows that SChart can accurately map single cells in diverse tissue types to resolve their spatial organization into cellular neighborhoods and tissue structures.


Science ◽  
2018 ◽  
Vol 361 (6400) ◽  
pp. eaat5691 ◽  
Author(s):  
Xiao Wang ◽  
William E. Allen ◽  
Matthew A. Wright ◽  
Emily L. Sylwestrak ◽  
Nikolay Samusik ◽  
...  

Retrieving high-content gene-expression information while retaining three-dimensional (3D) positional anatomy at cellular resolution has been difficult, limiting integrative understanding of structure and function in complex biological tissues. We developed and applied a technology for 3D intact-tissue RNA sequencing, termed STARmap (spatially-resolved transcript amplicon readout mapping), which integrates hydrogel-tissue chemistry, targeted signal amplification, and in situ sequencing. The capabilities of STARmap were tested by mapping 160 to 1020 genes simultaneously in sections of mouse brain at single-cell resolution with high efficiency, accuracy, and reproducibility. Moving to thick tissue blocks, we observed a molecularly defined gradient distribution of excitatory-neuron subtypes across cubic millimeter–scale volumes (>30,000 cells) and a short-range 3D self-clustering in many inhibitory-neuron subtypes that could be identified and described with 3D STARmap.


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