A revised airway epithelial hierarchy includes CFTR-expressing ionocytes
Open accessAbstract
The airways of the lung are the primary sites of disease in asthma and cystic fibrosis. Here we study the cellular composition and hierarchy of the mouse tracheal epithelium by single-cell RNA-sequencing (scRNA-seq) and in vivo lineage tracing. We identify a rare cell type, the Foxi1+ pulmonary ionocyte; functional variations in club cells based on their location; a distinct cell type in high turnover squamous epithelial structures that we term 'hillocks'; and disease-relevant subsets of tuft and goblet cells. We developed 'pulse-seq', combining scRNA-seq and lineage tracing, to show that tuft, neuroendocrine and ionocyte cells are continually and directly replenished by basal progenitor cells. Ionocytes are the major source of transcripts of the cystic fibrosis transmembrane conductance regulator in both mouse (Cftr) and human (CFTR). Knockout of Foxi1 in mouse ionocytes causes loss of Cftr expression and disrupts airway fluid and mucus physiology, phenotypes that are characteristic of cystic fibrosis. By associating cell-type-specific expression programs with key disease genes, we establish a new cellular narrative for airways disease.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
NIH Image to ImageJ: 25 years of image analysis
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012) · Nature Methods · doi:10.1038/nmeth.2089 · Cited by 64,638 · see citing works
(2008) · Journal of Machine Learning Research · Cited by 33,051 · see citing works
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
Li, B., & Dewey, C. N. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-323 · Cited by 22,179 · see citing works
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849 · see citing works
(1996) · Cited by 20,179 · see citing works
Data Analysis Using Regression and Multilevel/Hierarchical Models
Gelman, A., & Hill, J. (2006) · doi:10.1017/cbo9780511790942 · Cited by 13,597 · see citing works
Adjusting batch effects in microarray expression data using empirical Bayes methods
Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658 · see citing works
Molecular signatures database (MSigDB) 3.0
Liberzon, A., Subramanian, A., Pinchback, R., Thorvaldsdóttir, H., Tamayo, P., & Mesirov, J. P. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr260 · Cited by 7,111 · see citing works
Gene ontology analysis for RNA-seq: accounting for selection bias
Young, M. D., Wakefield, M. J., Smyth, G. K., & Oshlack, A. (2010) · Genome Biology · doi:10.1186/gb-2010-11-2-r14 · Cited by 7,107 · see citing works
Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E., & Storey, J. D. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts034 · Cited by 6,231 · see citing works
Maps of random walks on complex networks reveal community structure
Rosvall, M., & Bergstrom, C. T. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706851105 · Cited by 4,583 · see citing works
Koenker, R. W., & Hallock, K. F. (2001) · The Journal of Economic Perspectives · doi:10.1257/jep.15.4.143 · Cited by 4,432 · see citing works
Full-length RNA-seq from single cells using Smart-seq2
Picelli, S., Faridani, O. R., Björklund, Å. K., Winberg, G., Sagasser, S., & Sandberg, R. (2014) · Nature Protocols · doi:10.1038/nprot.2014.006 · Cited by 4,137 · see citing works
Finak, G., McDavid, A., Yajima, M., Deng, J., Gersuk, V., Shalek, A. K., Slichter, C. K., Miller, H. W., McElrath, M. J., Prlic, M., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0844-5 · Cited by 3,159 · see citing works
Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex
Konermann, S., Brigham, M. D., Trevino, A. E., Joung, J., Abudayyeh, O. O., Barcena, C., Hsu, P. D., Habib, N., Gootenberg, J. S., Nishimasu, H., et al. (2015) · Nature · doi:10.1038/nature14136 · Cited by 2,825 · see citing works
Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis
Levine, J. H., Simonds, E. F., Bendall, S. C., Davis, K. L., Amir, E.-A. D., Tadmor, M. D., Litvin, O., Fienberg, H. G., Jager, A., Zunder, E. R., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.047 · Cited by 2,303 · see citing works
Regev, A., Teichmann, S. A., Lander, E. S., Amit, I., Benoist, C., Birney, E., Bodenmiller, B., Campbell, P., Carninci, P., Clatworthy, M., et al. (2017) · eLife · doi:10.7554/elife.27041 · Cited by 2,232 · see citing works
Self-citationAccelerating t-SNE using tree-based algorithms
van der Maaten, L. (2014) · Journal of machine learning research · doi:10.5555/2627435.2697068 · Cited by 2,207 · see citing works
A chemical method for fast and sensitive detection of DNA synthesis in vivo
Salic, A. N., & Mitchison, T. J. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0712168105 · Cited by 1,859 · see citing works
A single-cell survey of the small intestinal epithelium
Haber, A. L., Biton, M., Rogel, N., Herbst, R. H., Shekhar, K., Smillie, C., Burgin, G., Delorey, T. M., Howitt, M. R., Katz, Y., et al. (2017) · Nature · doi:10.1038/nature24489 · Cited by 1,750 · see citing works
Self-citationBasal cells as stem cells of the mouse trachea and human airway epithelium
Rock, J. R., Onaitis, M. W., Rawlins, E. L., Lu, Y., Clark, C. P., Xue, Y., Randell, S. H., & Hogan, B. L. M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906850106 · Cited by 1,568 · see citing works
Regev, A., Teichmann, S. A., Lander, E. S., Amit, I., Benoist, C. O., Birney, E., Bodenmiller, B., & al, E. (2017) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-162597 · Cited by 1,457 · see citing works
Self-citationReconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
Treutlein, B., Brownfield, D. G., Wu, A. R., Neff, N. F., Mantalas, G. L., Espinoza, F. H., Desai, T. J., Krasnow, M. A., & Quake, S. R. (2014) · Nature · doi:10.1038/nature13173 · Cited by 1,342 · see citing works
Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
Shekhar, K., Lapan, S. W., Whitney, I. E., Tran, N. M., Macosko, E. Z., Kowalczyk, M., Adiconis, X., Levin, J. Z., Nemesh, J., Goldman, M., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.054 · Cited by 1,176 · see citing works
Self-citationBuettner, F., Natarajan, K. N., Casale, F. P., Proserpio, V., Scialdone, A., Theis, F. J., Teichmann, S. A., Marioni, J. C., & Stegle, O. (2015) · Nature Biotechnology · doi:10.1038/nbt.3102 · Cited by 1,136 · see citing works
A single-cell atlas of the airway epithelium reveals the CFTR-rich pulmonary ionocyte
Plasschaert, L. W., Žilionis, R., Choo-Wing, R., Savova, V., Knehr, J., Roma, G., Klein, A. M., & Jaffe, A. B. (2018) · Nature · doi:10.1038/s41586-018-0394-6 · Cited by 1,047 · see citing works
Accounting for technical noise in single-cell RNA-seq experiments
Brennecke, P., Anders, S., Kim, J. K., Kołodziejczyk, A. A., Zhang, X., Proserpio, V., Baying, B., Benes, V., Teichmann, S. A., Marioni, J. C., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2645 · Cited by 979 · see citing works
Rawlins, E. L., Okubo, T., Xue, Y., Brass, D. M., Auten, R. L., Hasegawa, H., Wang, F., & Hogan, B. L. M. (2009) · Cell stem cell · doi:10.1016/j.stem.2009.04.002 · Cited by 855 · see citing works
Requirement of a 5-lipoxygenase-activating protein for leukotriene synthesis
Dixon, R. A. F., Diehl, R. E., Opas, E. E., Rands, E., Vickers, P. J., Evans, J. F., Gillard, J. W., & Miller, D. K. (1990) · Nature · doi:10.1038/343282a0 · Cited by 772 · see citing works
Muc5b is required for airway defence
Roy, M. G., Livraghi-Butrico, A., Fletcher, A. A., McElwee, M. M., Evans, S. E., Boerner, R. M., Alexander, S. N., Bellinghausen, L. K., Song, A. S., Petrova, Y. M., et al. (2014) · Nature · doi:10.1038/nature12807 · Cited by 764 · see citing works
Stijnen, T., Hamza, T. H., & Özdemir, P. (2010) · Statistics in Medicine · doi:10.1002/sim.4040 · Cited by 757 · see citing works
Single-cell Wnt signaling niches maintain stemness of alveolar type 2 cells
Nabhan, A. N., Brownfield, D., Harbury, P. B., Krasnow, M. A., & Desai, T. (2018) · Science · doi:10.1126/science.aam6603 · Cited by 731 · see citing works
Submucosal glands are the predominant site of CFTR expression in the human bronchus
Engelhardt, J. F., Yankaskas, J. R., Ernst, S. A., Yang, Y., Marino, C. R., Boucher, R. C., Cohn, J. A., & Wilson, J. M. (1992) · Nature Genetics · doi:10.1038/ng1192-240 · Cited by 654 · see citing works
Self-citationDiffusion maps for high-dimensional single-cell analysis of differentiation data
Haghverdi, L., Buettner, F., & Theis, F. J. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv325 · Cited by 649 · see citing works
Uptake through glycoprotein 2 of FimH+ bacteria by M cells initiates mucosal immune response
Hase, K., Kawano, K., Nochi, T., Pontes, G., Fukuda, S., Ebisawa, M., Kadokura, K., Tobe, T., Fujimura, Y., Kawano, S., et al. (2009) · Nature · doi:10.1038/nature08529 · Cited by 625 · see citing works
Network modeling links breast cancer susceptibility and centrosome dysfunction
Pujana, M. Á., Han, J.-D. J., Starita, L. M., Purrington, K. S., Tewari, M., Ahn, J. S., Rennert, G., Moreno, V. R., Kirchhoff, T., Gold, B., et al. (2007) · Nature Genetics · doi:10.1038/ng.2007.2 · Cited by 611 · see citing works
Zepp, J. A., Zacharias, W. J., Frank, D. B., Cavanaugh, C. A., Zhou, S., Morley, M. P., & Morrisey, E. E. (2017) · Cell · doi:10.1016/j.cell.2017.07.034 · Cited by 567 · see citing works
Buja, A., & Eyuboglu, N. (1992) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2704_2 · Cited by 563 · see citing works
Bochkov, Y. A., Watters, K. E., Ashraf, S., Griggs, T. F., Devries, M., Jackson, D. J., Palmenberg, A. C., & Gern, J. E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421178112 · Cited by 422 · see citing works
Dual SMAD Signaling Inhibition Enables Long-Term Expansion of Diverse Epithelial Basal Cells
Mou, H., Vinarsky, V., Tata, P. R., Brazauskas, K., Choi, S. H., Crooke, A. K., Zhang, B., Solomon, G. M., Turner, B., Bihler, H. J., et al. (2016) · Cell stem cell · doi:10.1016/j.stem.2016.05.012 · Cited by 379 · see citing works
Self-citationDisease phenotype of a ferret CFTR-knockout model of cystic fibrosis
Sun, X., Sui, H., Fisher, J. T., Yan, Z., Liu, X., Cho, H., Joo, N. S., Zhang, Y., Zhou, W., Yi, Y., et al. (2010) · Journal of Clinical Investigation · doi:10.1172/jci43052 · Cited by 370 · see citing works
Self-citationImpaired mucus detachment disrupts mucociliary transport in a piglet model of cystic fibrosis
Hoegger, M. J., Fischer, A. J., McMenimen, J. D., Ostedgaard, L. S., Tucker, A. J., Awadalla, M., Moninger, T. O., Michalski, A. S., Hoffman, E. A., Zabner, J., et al. (2014) · Science · doi:10.1126/science.1255825 · Cited by 368 · see citing works
AnimalTFDB: a comprehensive animal transcription factor database
Zhang, H., Chen, H., Liu, W., Liu, H., Gong, J., Wang, H., & Guo, A.-Y. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr965 · Cited by 301 · see citing works
Airway acidification initiates host defense abnormalities in cystic fibrosis mice
Shah, V. S., Meyerholz, D. K., Tang, X. X., Reznikov, L. R., Alaiwa, M. H. A., Ernst, S. E., Karp, P. H., Wohlford-Lenane, C., Heilmann, K. P., Leidinger, M., et al. (2016) · Science · doi:10.1126/science.aad5589 · Cited by 285 · see citing works
Munitz, A., Brandt, E. B., Mingler, M. K., Finkelman, F. D., & Rothenberg, M. E. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0802465105 · Cited by 271 · see citing works
Acidic pH increases airway surface liquid viscosity in cystic fibrosis
Tang, X. X., Ostedgaard, L. S., Hoegger, M. J., Moninger, T. O., Karp, P. H., McMenimen, J. D., Choudhury, B., Varki, A. P., Stoltz, D. A., & Welsh, M. J. (2016) · Journal of Clinical Investigation · doi:10.1172/jci83922 · Cited by 255 · see citing works
Notch2 Is Required for Inflammatory Cytokine-Driven Goblet Cell Metaplasia in the Lung
Danahay, H. L., Pessotti, A. D., Coote, J., Montgomery, B. E., Xia, D., Wilson, A. C., Yang, H., Wang, Z., Bevan, L., Thomas, C., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.12.017 · Cited by 252 · see citing works
Coifman, R. R., Lafon, S., Lee, A. B., Maggioni, M., Nadler, B., Warner, F. J., & Zucker, S. W. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0500896102 · Cited by 217 · see citing works
LungMAP: The Molecular Atlas of Lung Development Program
Ardini, M.-A., Clark, R. F., Ansong, C. K., Carson, J. P., CORLEY, R. A., Deutsch, G. H., Hagood, J. S., Kaminski, N., Mariani, T. J., Potter, S. S., et al. (2017) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00139.2017 · Cited by 206 · see citing works
Clonal Dynamics Reveal Two Distinct Populations of Basal Cells in Slow-Turnover Airway Epithelium
Watson, J. K., Rulands, S., Wilkinson, A. C., Wuidart, A., Ousset, M., Keymeulen, A. V., Göttgens, B., Blanpain, C., Simons, B. D., & Rawlins, E. L. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.06.011 · Cited by 194 · see citing works
Parent stem cells can serve as niches for their daughter cells
Pardo–Saganta, A., Tata, P. R., Law, B. M., Sáez, B., Chow, R. D.-W., Prabhu, M., Gridley, T., & Rajagopal, J. (2015) · Nature · doi:10.1038/nature14553 · Cited by 194 · see citing works
Self-citationLi, M. J., Liu, Z., Wang, P., Wong, M. P., Nelson, M. R., Kocher, J., Yeager, M., Sham, P. C., Chanock, S. J., Xia, Z., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1317 · Cited by 186 · see citing works
Liu, L., Chu, K. K., Houser, G. H., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054473 · Cited by 183 · see citing works
Gram-positive bacteria are held at a distance in the colon mucus by the lectin-like protein ZG16
Bergström, J. H., Birchenough, G. M. H., Katona, G., Schroeder, B. O., Schütte, A., Ermund, A., Johansson, M., & Hansson, G. C. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1611400113 · Cited by 176 · see citing works
Notch Signaling Induces Rapid Degradation of Achaete-Scute Homolog 1
Sriuranpong, V., Borges, M. W., Strock, C. J., Nakakura, E. K., Watkins, D. N., Blaumueller, C. M., Nelkin, B. D., & Ball, D. W. (2002) · Molecular and Cellular Biology · doi:10.1128/mcb.22.9.3129-3139.2002 · Cited by 171 · see citing works
Multiple Roles of Notch Signaling in the Regulation of Epidermal Development
Moriyama, M., Durham, A., Moriyama, H., Hasegawa, K., Nishikawa, S., Radtke, F., & Osawa, M. (2008) · Developmental Cell · doi:10.1016/j.devcel.2008.01.017 · Cited by 150 · see citing works
A Functional Anatomic Defect of the Cystic Fibrosis Airway
Birket, S. E., Chu, K. K., Liu, L., Houser, G. H., Diephuis, B. J., Wilsterman, E. J., Dierksen, G. A., Mazur, M., Shastry, S., Li, Y., et al. (2014) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201404-0670oc · Cited by 143 · see citing works
Self-citationViđarsson, H., Westergren, R., Heglind, M., Blomqvist, S. R., Breton, S., & Enerbäck, S. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004471 · Cited by 136 · see citing works
Regulation of Murine Airway Surface Liquid Volume by CFTR and Ca2+-activated Cl− Conductances
Tarran, R., Loewen, M. E., Paradiso, A. M., Olsen, J. C., Gray, M. A., Argent, B. E., Boucher, R. C., & Gabriel, S. E. (2002) · The Journal of General Physiology · doi:10.1085/jgp.20028599 · Cited by 122 · see citing works
Specification of ion transport cells in theXenopuslarval skin
Quigley, I. K., Stubbs, J. L., & Kintner, C. R. (2011) · Development · doi:10.1242/dev.055699 · Cited by 120 · see citing works
Epithelial Notch signaling regulates lung alveolar morphogenesis and airway epithelial integrity
Tsao, P., Matsuoka, C., Wei, S., Sato, A., Satô, S., Hasegawa, K., Chen, H.-K., Ling, T., Mori, M., Cardoso, W. V., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1511236113 · Cited by 106 · see citing works
Development of an airway mucus defect in the cystic fibrosis rat
Birket, S. E., Davis, J. M., Fernandez, C. M., Tuggle, K. L., Oden, A. M., Chu, K. K., Tearney, G. J., Fanucchi, M. V., Sorscher, E. J., & Rowe, S. M. (2018) · JCI Insight · doi:10.1172/jci.insight.97199 · Cited by 98 · see citing works
Self-citationAirway disease phenotypes in animal models of cystic fibrosis
McCarron, A., Donnelley, M., & Parsons, D. (2018) · Respiratory Research · doi:10.1186/s12931-018-0750-y · Cited by 91 · see citing works
Esaki, M., Hoshijima, K., Nakamura, N., Munakata, K., Tanaka, M., Ookata, K., Asakawa, K., Kawakami, K., Wang, W., Weinberg, E. S., et al. (2009) · Developmental Biology · doi:10.1016/j.ydbio.2009.02.026 · Cited by 83 · see citing works
Cochlin Produced by Follicular Dendritic Cells Promotes Antibacterial Innate Immunity
Py, B. F., González, S., Long, K., Kim, M.-S., Kim, Y.-A., Zhu, H., Yao, J., Degauque, N., Villet, R. A., Ymele‐Leki, P., et al. (2013) · Immunity · doi:10.1016/j.immuni.2013.01.015 · Cited by 80 · see citing works
Suppression of immunoglobulin E–mediated allergic responses by regulator of G protein signaling 13
Bansal, G., Xie, Z., Rao, S. S., Nocka, K. H., & Druey, K. M. (2007) · Nature Immunology · doi:10.1038/ni1533 · Cited by 76 · see citing works
An Autoregulatory Mechanism Governing Mucociliary Transport Is Sensitive to Mucus Load
Liu, L., Shastry, S., Byan-Parker, S., et al. (2014) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2013-0499ma · Cited by 73 · see citing works
Pardo–Saganta, A., Law, B. M., Gonzalez-Celeiro, M., Vinarsky, V., & Rajagopal, J. (2012) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2012-0146oc · Cited by 72 · see citing works
Self-citationBirket, S. E., Chu, K. K., Houser, G. H., Liu, L., Fernandez, C. M., Solomon, G. M., Lin, V. Y., Shastry, S., Mazur, M., Sloane, P. A., et al. (2016) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00395.2015 · Cited by 66 · see citing works
Self-citationYan, Z., Sun, X., Feng, Z., Li, G., Fisher, J. T., Stewart, Z. A., & Engelhardt, J. F. (2015) · Human Gene Therapy · doi:10.1089/hum.2015.001 · Cited by 64 · see citing works
Self-citationVerzi, M. P., Khan, A. H., Ito, S., & Shivdasani, R. A. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.04.019 · Cited by 59 · see citing works
Epithelial mitochondria-rich cells and associated innervation in adult and developing zebrafish
Jonz, M. G., & Nurse, C. A. (2006) · The Journal of Comparative Neurology · doi:10.1002/cne.21020 · Cited by 58 · see citing works
Ng, F. S., Wong, Y., Guan, S. P., Mustafa, F., Kajiji, T., Bist, P., Biswas, S. K., Wong, W. S. F., & Lim, L. H. K. (2011) · Clinical & Experimental Allergy · doi:10.1111/j.1365-2222.2011.03855.x · Cited by 54 · see citing works
Liu, X., Yan, Z., Luo, M., & Engelhardt, J. F. (2005) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2005-0189oc · Cited by 46 · see citing works
Self-citationA new role for P2X4 receptors as modulators of lung surfactant secretion
Miklavc, P., Thompson, K. E., & Frick, M. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00171 · Cited by 41 · see citing works
Ostrowski, L. E., Yin, W., Diggs, P. S., Rogers, T. D., O’Neal, W. K., & Grubb, B. R. (2007) · Gene Therapy · doi:10.1038/sj.gt.3302994 · Cited by 37 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [2]Nunn’s Applied Respiratory Physiology −8th Edition. Available at: https://www.elsevier.com/books/nunns-applied-respiratory-physiology/lumb/978-0-7020-6295-7. (Accessed: 5th April 2018)
Cited by
Sorted by citations
Ziegler, C. G. K., Allon, S. J., Nyquist, S. K., Mbano, I. M., Miao, V. N., Tzouanas, C. N., Cao, Y., Yousif, A. S., Bals, J., Hauser, B. M., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.035 · Cited by 2,284 · see citing works
Self-citationCurrent best practices in single-cell RNA-seq analysis: a tutorial
Luecken, M. D., & Theis, F. J. (2019) · Molecular Systems Biology · doi:10.15252/msb.20188746 · Cited by 2,231 · see citing works
Reyfman, P. A., Walter, J. M., Joshi, N., Anekalla, K. R., McQuattie-Pimentel, A. C., Chiu, S., Fernandez, R., Akbarpour, M., Chen, C.-I., Ren, Z., et al. (2019) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201712-2410oc · Cited by 1,203 · see citing works
A single-cell atlas of the airway epithelium reveals the CFTR-rich pulmonary ionocyte
Plasschaert, L. W., Žilionis, R., Choo-Wing, R., Savova, V., Knehr, J., Roma, G., Klein, A. M., & Jaffe, A. B. (2018) · Nature · doi:10.1038/s41586-018-0394-6 · Cited by 1,047 · see citing works
Chua, R. L., Lukassen, S., Trump, S., Hennig, B. P., Wendisch, D., Pott, F., Debnath, O., Thürmann, L., Kurth, F., Völker, M. T., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0602-4 · Cited by 1,035 · see citing works
Long‐term expanding human airway organoids for disease modeling
Sachs, N., Papaspyropoulos, A., Zomer‐van Ommen, D. D., Heo, I., Böttinger, L., Klay, D., Weeber, F., Huelsz‐Prince, G., Iakobachvili, N., Amatngalim, G. D., et al. (2019) · The EMBO Journal · doi:10.15252/embj.2018100300 · Cited by 1,082 · see citing works
DNA methylation aging clocks: challenges and recommendations
Bell, C. G., Lowe, R., Adams, P. D., Baccarelli, A. A., Beck, S., Bell, J. T., Christensen, B. C., Gladyshev, V. N., Heijmans, B. T., Horvath, S., et al. (2019) · Genome Biology · doi:10.1186/s13059-019-1824-y · Cited by 1,025 · see citing works
A cellular census of human lungs identifies novel cell states in health and in asthma
Vieira Braga, F. A., Kar, G., Berg, M., Carpaij, O. A., Polanski, K., Simon, L. M., Brouwer, S., Gomes, T., Hesse, L., Jiang, J., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0468-5 · Cited by 896 · see citing works
Lineage tracing on transcriptional landscapes links state to fate during differentiation
Weinreb, C., Rodriguez-Fraticelli, A., Camargo, F. D., & Klein, A. M. (2020) · Science · doi:10.1126/science.aaw3381 · Cited by 730 · see citing works
“This approach can map the fate of cells from a continuous landscape of starting states and does not require isolation or labeling of specific prospective progenitor populations (2, 14).”
BackgroundTranscriptional and Cellular Diversity of the Human Heart
Tucker, N. R., Chaffin, M., Fleming, S. J., Hall, A. W., Parsons, V. A., Bedi, K. C., Akkad, A.-D., Herndon, C. N., Arduini, A., Papangeli, I., et al. (2020) · Circulation · doi:10.1161/circulationaha.119.045401 · Cited by 554 · see citing works
Targeting fibrosis: mechanisms and clinical trials
Zhao, M., Wang, L., Wang, M., Zhou, S., Lu, Y., Cui, H., Racanelli, A. C., Zhang, L., Ye, T., Ding, B., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01070-3 · Cited by 547 · see citing works
The aging lung: Physiology, disease, and immunity
Schneider, J. L., Rowe, J. H., Garcia-de-Alba, C., Kim, C. F., Sharpe, A. H., & Haigis, M. C. (2021) · Cell · doi:10.1016/j.cell.2021.03.005 · Cited by 500 · see citing works
A single-cell atlas of the human healthy airways
Deprez, M., Zaragosi, L.-E., Truchi, M., Garcia, S. R., Arguel, M.-J., Lebrigand, K., Paquet, A., Pee’r, D., Marquette, C.-H., Leroy, S., et al. (2019) · doi:10.1101/2019.12.21.884759 · Cited by 493 · see citing works
Structural cells are key regulators of organ-specific immune responses
Krausgruber, T., Fortelny, N., Fife-Gernedl, V., Senekowitsch, M., Schuster, L. C., Lercher, A., Nemc, A., Schmidl, C., Rendeiro, A. F., Bergthaler, A., et al. (2020) · Nature · doi:10.1038/s41586-020-2424-4 · Cited by 434 · see citing works
Progenitor identification and SARS-CoV-2 infection in human distal lung organoids
Salahudeen, A. A., Choi, S. S., Rustagi, A., Zhu, J., van Unen, V., de la O, S. M., Flynn, R. A., Margalef-Català, M., Santos, A. J. M., Ju, J., et al. (2020) · Nature · doi:10.1038/s41586-020-3014-1 · Cited by 416 · see citing works
Single cell transcriptomics comes of age
Aldridge, S., & Teichmann, S. A. (2020) · Nature Communications · doi:10.1038/s41467-020-18158-5 · Cited by 360 · see citing works
A cellular and spatial map of the choroid plexus across brain ventricles and ages
Dani, N., Herbst, R. H., McCabe, C., Green, G. S., Kaiser, K., Head, J. P., Cui, J., Shipley, F. B., Jang, A., Dionne, D., et al. (2021) · Cell · doi:10.1016/j.cell.2021.04.003 · Cited by 388 · see citing works
Self-citationLocal and systemic responses to SARS-CoV-2 infection in children and adults
Yoshida, M., Worlock, K. B., Huang, N., Lindeboom, R. G. H., Butler, C. R., Kumasaka, N., Dominguez Conde, C., Mamanova, L., Bolt, L., Richardson, L., et al. (2022) · Nature · doi:10.1038/s41586-021-04345-x · Cited by 365 · see citing works
Ruiz García, S., Deprez, M., Lebrigand, K., Cavard, A., Paquet, A., Arguel, M.-J., Magnone, V., Truchi, M., Caballero, I., Leroy, S., et al. (2019) · Development · doi:10.1242/dev.177428 · Cited by 297 · see citing works
Ravindra, N. G., Alfajaro, M. M., Gasque, V., Huston, N. C., Wan, H., Szigeti-Buck, K., Yasumoto, Y., Greaney, A. M., Habet, V., Chow, R. D., et al. (2021) · PLOS Biology · doi:10.1371/journal.pbio.3001143 · Cited by 258 · see citing works
Self-citationThe Human Lung Cell Atlas: A High-Resolution Reference Map of the Human Lung in Health and Disease
Schiller, H. B., Montoro, D. T., Simon, L. M., Rawlins, E. L., Meyer, K. B., Strunz, M., Vieira Braga, F. A., Timens, W., Koppelman, G. H., Budinger, G. R. S., et al. (2019) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2018-0416tr · Cited by 245 · see citing works
Self-citationImpact of the Human Cell Atlas on medicine
Rood, J. E., Maartens, A., Hupalowska, A., Teichmann, S. A., & Regev, A. (2022) · Nature Medicine · doi:10.1038/s41591-022-02104-7 · Cited by 222 · see citing works
Self-citationA spatially resolved atlas of the human lung characterizes a gland-associated immune niche
Madissoon, E., Oliver, A. J., Kleshchevnikov, V., Wilbrey-Clark, A., Polanski, K., Richoz, N., Ribeiro Orsi, A., Mamanova, L., Bolt, L., Elmentaite, R., et al. (2023) · Nature Genetics · doi:10.1038/s41588-022-01243-4 · Cited by 219 · see citing works
Motile cilia and airway disease
Legendre, M., Zaragosi, L.-E., & Mitchison, H. M. (2021) · Seminars in Cell & Developmental Biology · doi:10.1016/j.semcdb.2020.11.007 · Cited by 175 · see citing works
A human multi-lineage hepatic organoid model for liver fibrosis
Guan, Y., Enejder, A., Wang, M., Fang, Z., Cui, L., Chen, S.-Y., Wang, J., Tan, Y., Wu, M., Chen, X., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-26410-9 · Cited by 149 · see citing works
Self-citationFast and precise single-cell data analysis using a hierarchical autoencoder
Tran, D., Nguyen, H., Tran, B., La Vecchia, C., Luu, H. N., & Nguyen, T. (2021) · Nature Communications · doi:10.1038/s41467-021-21312-2 · Cited by 145 · see citing works
Recent Developments in mRNA-Based Protein Supplementation Therapy to Target Lung Diseases
Sahu, I., Haque, A. K. M. A., Weidensee, B., Weinmann, P., & Kormann, M. S. D. (2019) · Molecular Therapy · doi:10.1016/j.ymthe.2019.02.019 · Cited by 104 · see citing works
Awatade, N. T., Wong, S. L., Hewson, C. K., Fawcett, L. K., Kicic, A., Jaffe, A., & Waters, S. A. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.01429 · Cited by 92 · see citing works
Multimodal single cell data integration challenge: results and lessons learned
Lance, C., Luecken, M. D., Burkhardt, D. B., Cannoodt, R., Rautenstrauch, P., Laddach, A., Ubingazhibov, A., Cao, Z.-J., Deng, K., Khan, S., et al. (2022) · doi:10.1101/2022.04.11.487796 · Cited by 81 · see citing works
- Authors
- Montoro, D. T., Haber, A. L., Biton, M., Vinarsky, V., Lin, B., Birket, S. E., Yuan, F., Chen, S., Leung, H. M., Villoria, J., Rogel, N., Burgin, G., Tsankov, A. M., Waghray, A., Slyper, M., Waldman, J., Nguyen, L., Dionne, D., Rozenblatt-Rosen, O., Tata, P. R., Mou, H., Shivaraju, M., Bihler, H., Mense, M., Tearney, G. J., Rowe, S. M., Engelhardt, J. F., Regev, A., & Rajagopal, J.
- Affiliations
- Broad Institute (US)
- Harvard University (US)
- University of Alabama at Birmingham (US)
- University of Iowa (US)
- Amsterdam UMC Location University of Amsterdam (NL)
- Massachusetts General Hospital (US)
- Duke University (US)
- Cystic Fibrosis Foundation (US)
- ORCID
- Montoro, Daniel T.
- Haber, Adam L.
- Biton, Moshe
- Lin, Brian
- Birket, Susan E.
- Yuan, Feng
- Chen, Sijia
- Leung, Hui Min
- Tsankov, Alexander M.
- Waghray, Avinash
- Slyper, Michal
- Waldman, Julia
- Dionne, Danielle
- Tata, Purushothama Rao
- Mou, Hongmei
- Shivaraju, Manjunatha
- Bihler, Hermann
- Mense, Martin
- Tearney, Guillermo J.
- Rowe, Steven M.
- Engelhardt, John F.
- Regev, Aviv
- Rajagopal, Jayaraj
- Venue
- Nature
- Published
- 2018-08-01
- Volume
- 560
- Issue
- 7718
- Pages
- 319-324
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6295155
- OpenAlex
- W2887886950
- Cited by
- 1,206
- References
- 77
- Citations by year
- 2026: 85 · 2025: 140 · 2024: 163 · 2023: 132 · 2022: 182 · 2021: 183 · 2020: 175 · 2019: 117 · 2018: 28
- FWCI
- 44.74
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- Howard Hughes Medical Institute
- New York Stem Cell Foundation
- Broad Institute
- Manton Foundation
- National Institutes of Health (NIH P30 DK072482, HL051670, DK072482, DK047967)
- Harvard Stem Cell Institute
- Klarman Cell Observatory, Broad Institute
- National Heart, Lung, and Blood Institute (R35HL135816, P01HL051670, HL-051670, K99HL127181, HL135816, R24HL123482, R00HL127181, F31HL136128, HL123482, DK072482, K08HL131867)
- National Institute on Drug Abuse (R01DA047967)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK047967, P30DK072482, P30DK043351, P30DK054759)
- National Institute of Environmental Health Sciences (P30ES005605)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cystic Fibrosis Research Advances
- Health Sciences › Medicine › Physiology › Asthma and respiratory diseases
- Keywords
- airway epithelium, CFTR, FOXI1, tracheal epithelium, Clara cells, hillocks, tuft cells, goblet cells, neuroendocrine cells, basal progenitor cells, cell turnover, cystic fibrosis, asthma, airway mucus, lineage tracing
- MeSH terms
- Animals, Asthma, Cell Differentiation, Cystic Fibrosis, Epithelial Cells, Female, Gene Expression Regulation, Humans, Lung, Male, Trachea, Sequence Analysis, RNA, Cystic Fibrosis Transmembrane Conductance Regulator, Cell Lineage, Goblet Cells, Gene Expression Profiling, Mice, Forkhead Transcription Factors, Single-Cell Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review