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Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
Open accessAbstract
The mammalian lung is a highly branched network in which the distal regions of the bronchial tree transform during development into a densely packed honeycomb of alveolar air sacs that mediate gas exchange. Although this transformation has been studied by marker expression analysis and fate-mapping, the mechanisms that control the progression of lung progenitors along distinct lineages into mature alveolar cell types are still incompletely known, in part because of the limited number of lineage markers and the effects of ensemble averaging in conventional transcriptome analysis experiments on cell populations. Here we show that single-cell transcriptome analysis circumvents these problems and enables direct measurement of the various cell types and hierarchies in the developing lung. We used microfluidic single-cell RNA sequencing (RNA-seq) on 198 individual cells at four different stages encompassing alveolar differentiation to measure the transcriptional states which define the developmental and cellular hierarchy of the distal mouse lung epithelium. We empirically classified cells into distinct groups by using an unbiased genome-wide approach that did not require a priori knowledge of the underlying cell types or the previous purification of cell populations. The results confirmed the basic outlines of the classical model of epithelial cell-type diversity in the distal lung and led to the discovery of many previously unknown cell-type markers, including transcriptional regulators that discriminate between the different populations. We reconstructed the molecular steps during maturation of bipotential progenitors along both alveolar lineages and elucidated the full life cycle of the alveolar type 2 cell lineage. This single-cell genomics approach is applicable to any developing or mature tissue to robustly delineate molecularly distinct cell types, define progenitors and lineage hierarchies, and identify lineage-specific regulatory factors.
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
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
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,682
Quality control and preprocessing of metagenomic datasets
Schmieder, R., & Edwards, R. A. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr026 · Cited by 5,119
mRNA-Seq whole-transcriptome analysis of a single cell
Tang, F., Barbacioru, C., Wang, Y., Nordman, E., Lee, C., Xu, N., Wang, X., Bodeau, J., Tuch, B. B., Siddiqui, A., et al. (2009) · Nature Methods · doi:10.1038/nmeth.1315 · Cited by 3,969
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Quantitative lineage analysis identifies a hepato-pancreato-biliary progenitor niche
Willnow, D., Benary, U., Margineanu, A., Vignola, M. L., Konrath, F., Pongrac, I. M., Karimaddini, Z., Vigilante, A., Wolf, J., & Spagnoli, F. M. (2021) · Nature · doi:10.1038/s41586-021-03844-1 · Cited by 39
Mu, M., Li, B., Zou, Y., Wang, W., Cao, H., Zhang, Y., Sun, Q., Chen, H., Ge, D., Tao, H., et al. (2022) · Particle and Fibre Toxicology · doi:10.1186/s12989-022-00449-y · Cited by 38
R-SPONDIN2+ mesenchymal cells form the bud tip progenitor niche during human lung development
Hein, R. F. C., Wu, J. H., Holloway, E. M., Frum, T., Conchola, A. S., Tsai, Y.-H., Wu, A., Fine, A. S., Miller, A. J., Szenker‐Ravi, E., et al. (2022) · Developmental Cell · doi:10.1016/j.devcel.2022.05.010 · Cited by 38
Self-citationEach cell counts: Hematopoiesis and immunity research in the era of single cell genomics
Jaitin, D. A., Keren‐Shaul, H., Elefant, N., & Amit, I. (2015) · Seminars in Immunology · doi:10.1016/j.smim.2015.01.002 · Cited by 40
Modulation of apical constriction by Wnt signaling is required for lung epithelial shape transition
Fumoto, K., Takigawa-Imamura, H., Sumiyama, K., Kaneiwa, T., & Kikuchi, A. (2016) · Development · doi:10.1242/dev.141325 · Cited by 37
A cost effective 5΄ selective single cell transcriptome profiling approach with improved UMI design
Arguel, M., Lebrigand, K., Paquet, A. C., García, S. R., Zaragosi, L., Barbry, P., & Waldmann, R. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1242 · Cited by 38
Gong, W., Rasmussen, T. L., Singh, B. N., Koyano‐Nakagawa, N., Pan, W., & Garry, D. J. (2017) · Nature Communications · doi:10.1038/ncomms14362 · Cited by 37
Runx3 in Immunity, Inflammation and Cancer
Lotem, J., Levanon, D., Negreanu, V., Bauer, O., Hantisteanu, S., Dicken, J., & Groner, Y. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-981-10-3233-2_23 · Cited by 38
Berg, T., Hegelund-Myrbäck, T., Öckinger, J., Zhou, X.-H., Brännström, M., Hagemann-Jensen, M., Werkström, V., Seidegård, J., Grünewald, J., Nord, M., et al. (2018) · Respiratory Research · doi:10.1186/s12931-018-0760-9 · Cited by 37
Potential application of cell reprogramming techniques for cancer research
Saito, S., Lin, Y., Nakamura, Y., Eckner, R., Wuputra, K., Kuo, K., Lin, C., & Yokoyama, K. K. (2018) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-018-2924-7 · Cited by 38
Type VI collagen promotes lung epithelial cell spreading and wound-closure
Mereness, J. A., Bhattacharya, S., Wang, Q., Ren, Y., Pryhuber, G., & Mariani, T. J. (2018) · PLoS ONE · doi:10.1371/journal.pone.0209095 · Cited by 37
Disease characterization using a partial correlation-based sample-specific network
Huang, Y., Chang, X., Zhang, Y., Chen, L., & Liu, X. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa062 · Cited by 38
MLL4 is required after implantation whereas MLL3 becomes essential during late gestation
Ashokkumar, D., Zhang, Q., Much, C., Bledau, A. S., Naumann, R., Alexopoulou, D., Dahl, A., Goveas, N., Fu, J., Anastassiadis, K., et al. (2020) · Development · doi:10.1242/dev.186999 · Cited by 39
Chen, M., & Zhou, X. (2017) · Scientific Reports · doi:10.1038/s41598-017-13665-w · Cited by 38
Cumplido-Laso, G., Benitez, D. A., Mulero‐Navarro, S., & Carvajal-González, J. M. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241914789 · Cited by 36
Single-Cell Transcriptome Study as Big Data
Yu, P., & Lin, W. (2016) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2016.01.005 · Cited by 36
The developmental origins and lineage contributions of endocardial endothelium
Nakano, A., Nakano, H., Smith, K., & Palpant, N. J. (2016) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2016.01.022 · Cited by 37
Quantitative approaches for investigating the spatial context of gene expression
Lee, J. H. (2016) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1369 · Cited by 38
Cell-type-specific brain methylomes profiled via ultralow-input microfluidics
Ma, S., Revenga, M. D. L. F., Sun, Z., Sun, C., Murphy, T. W., Xie, H., González‐Maeso, J., & Lu, C. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0204-3 · Cited by 38
Microfluidic Devices in the Fast‐Growing Domain of Single‐Cell Analysis
Khan, M., Mao, S., Li, W., & Lin, J. (2018) · Chemistry - A European Journal · doi:10.1002/chem.201800305 · Cited by 36
Yee, M., Gelein, R. M., Mariani, T. J., Lawrence, B. P., & O’Reilly, M. A. (2016) · Stem Cells · doi:10.1002/stem.2330 · Cited by 36
Management of Small Cell Lung Cancer
Altan, M., & Chiang, A. C. (2015) · The Cancer Journal · doi:10.1097/ppo.0000000000000148 · Cited by 36
Single-Cell Computational Strategies for Lineage Reconstruction in Tissue Systems
Herring, C. A., Chen, B., McKinley, E. T., & Lau, K. S. (2018) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2018.01.023 · Cited by 35
Zanini, F., Che, X., Knutsen, C., Liu, M., Suresh, N. E., Domingo-Gonzalez, R., Dou, S. H., Zhang, D., Pryhuber, G., Jones, R. C., et al. (2022) · iScience · doi:10.1016/j.isci.2023.106097 · Cited by 38
Self-citationFaro, V. L., Bhattacharya, A., Zhou, W., Zhou, D., Wang, Y., Läll, K., Kanai, M., Lopera-Maya, E. A., Straub, P., Pawar, P. P., et al. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101430 · Cited by 37
Single-cell RNA sequencing reveals peripheral immunological features in Parkinson’s Disease
Xiong, L., Du, R., Niu, R., Xue, L., Chen, L., Huangfu, L., Cai, X.-X., He, X., Huang, J., Huang, X., et al. (2024) · npj Parkinson s Disease · doi:10.1038/s41531-024-00790-3 · Cited by 36
Whole-mount single molecule FISH method for zebrafish embryo
Oka, Y., & Sato, T. N. (2015) · Scientific Reports · doi:10.1038/srep08571 · Cited by 37
Studying Lineage Decision-Making In Vitro: Emerging Concepts and Novel Tools
Semrau, S., & van Oudenaarden, A. (2015) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100814-125300 · Cited by 38
Crocker, J., Ilsley, G. R., & Stern, D. L. (2016) · Nature Genetics · doi:10.1038/ng.3509 · Cited by 35
Li, Y., Wang, R., Qiao, N., Peng, G., Zhang, K., Tang, K., Han, J. J., & Jing, N. (2017) · Journal of Biological Chemistry · doi:10.1074/jbc.m117.796383 · Cited by 37
Zhang, F., Tian, C., Liu, W., Wang, K., Wei, Y., Wang, H., Wang, J., & Liu, S. (2018) · ACS Sensors · doi:10.1021/acssensors.8b01370 · Cited by 35
Shiraishi, K., Shichino, S., Ueha, S., Nakajima, T., Hashimoto, S., Yamazaki, S., & Matsushima, K. (2018) · iScience · doi:10.1016/j.isci.2018.12.022 · Cited by 35
Spatially multiplexed RNA in situ hybridization to reveal tumor heterogeneity
von Voithenberg, L. V., Khartchenko, A. F., Huber, D., Schraml, P., & Kaigala, G. V. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz1151 · Cited by 35
Bioinformatic characterization of angiotensin-converting enzyme 2, the entry receptor for SARS-CoV-2
Barker, H. R., & Parkkila, S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0240647 · Cited by 37
SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement
Liang, Z., Li, M., Zheng, R., Tian, Y., Yan, X., Chen, J., Wu, F., & Wang, J. (2021) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2020.09.004 · Cited by 35
On the Mathematics of RNA Velocity I: Theoretical Analysis
Li, T., Shi, J., Wu, Y., & Zhou, P. (2021) · CSIAM Transactions on Applied Mathematics · doi:10.4208/csiam-am.so-2020-0001 · Cited by 37
Kook, S., Wang, P., Meng, S., Jetter, C. S., Sucre, J. M. S., Benjamin, J. T., Gokey, J. J., Hanby, H. A., Jaume, A., Goetzl, L. M., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2025208118 · Cited by 35
Prostate luminal progenitor cells: from mouse to human, from health to disease
Baurès, M., Dariane, C., Tika, E., Lombardi, E. P., Delongchamps, N. B., Blanpain, C., Guidotti, J., & Goffin, V. (2022) · Nature Reviews Urology · doi:10.1038/s41585-021-00561-2 · Cited by 38
Gene expression variability in clonal populations: Causes and consequences
Roberfroid, S., Vanderleyden, J., & Steenackers, H. P. L. (2016) · Critical Reviews in Microbiology · doi:10.3109/1040841x.2015.1122571 · Cited by 38
Tu, F., Sedzinski, J., Ma, Y., Marcotte, E. M., & Wallingford, J. B. (2018) · Journal of Cell Science · doi:10.1242/jcs.206565 · Cited by 35
Fatty acid synthase downregulation contributes to acute lung injury in murine diet-induced obesity
Plataki, M. E., Fan, L.-C., Sánchez, E., Huang, Z., Torres, L. K., Imamura, M., Zhu, Y., Cohen, D. E., Cloonan, S. M., & Choi, A. M. K. (2019) · JCI Insight · doi:10.1172/jci.insight.127823 · Cited by 35
Wang, J., Jenjaroenpun, P., Bhinge, A., Angarica, V. E., del Sol, A., Nookaew, I., Kuznetsov, V. A., & Stanton, L. W. (2017) · Genome Research · doi:10.1101/gr.223313.117 · Cited by 35
CEBPA restricts alveolar type 2 cell plasticity during development and injury-repair
Hassan, D., & Chen, J. (2024) · Nature Communications · doi:10.1038/s41467-024-48632-3 · Cited by 34
Clinical Implementation of Integrated Genomic Profiling in Patients with Advanced Cancers
Borad, M. J., Egan, J. B., Condjella, R. M., Liang, W. S., Fonseca, R., Ritacca, N. R., McCullough, A. E., Barrett, M. T., Hunt, K. S., Champion, M. D., et al. (2016) · Scientific Reports · doi:10.1038/s41598-016-0021-4 · Cited by 34
Guo, L., Karoubi, G., Duchesneau, P., Shutova, M. V., Sung, H.-K., Tonge, P., Bear, C., Rogers, I., Nagy, A., & Waddell, T. K. (2017) · Stem Cell Reports · doi:10.1016/j.stemcr.2017.10.022 · Cited by 33
Satoh, M., Nomura, S., Harada, M., Yamaguchi, T., Ko, T., Sumida, T. S., Toko, H., Naito, A. T., Takeda, N., Tobita, T., et al. (2019) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2018.12.018 · Cited by 35
Highly sensitive detection of multiple proteins from single cells by MoS2-FET biosensors
Wei, J., Zhao, Z., Lan, K., Wang, Z., Qin, G., & Chen, R. (2021) · Talanta · doi:10.1016/j.talanta.2021.122839 · Cited by 34
Impaired Alveolar Re-Epithelialization in Pulmonary Emphysema
Lin, C.-R., Bahmed, K., & Kośmider, B. (2022) · Cells · doi:10.3390/cells11132055 · Cited by 39
Engineering cell heterogeneity into organs-on-a-chip
Mertz, D. R., Ahmed, T., & Takayama, S. (2018) · Lab on a Chip · doi:10.1039/c8lc00413g · Cited by 33
Zhang, H., Lee, C. A. A., Li, Z., Garbe, J., Eide, C. R., Petegrosso, R., Kuang, R., & Tolar, J. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006053 · Cited by 33
Improved detection of tumor suppressor events in single-cell RNA-Seq data
Teschendorff, A. E., & Wang, N. (2020) · npj Genomic Medicine · doi:10.1038/s41525-020-00151-y · Cited by 33
Roditi, L. D. V., & Claassen, M. (2014) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2014.10.010 · Cited by 36
Keeping it together: Pulmonary alveoli are maintained by a hierarchy of cellular programs
Logan, C. Y., & Desai, T. (2015) · BioEssays · doi:10.1002/bies.201500031 · Cited by 32
Self-citationGlobal and targeted approaches to single-cell transcriptome characterization
Kolodziejczyk, A. A., & Lönnberg, T. (2017) · Briefings in Functional Genomics · doi:10.1093/bfgp/elx025 · Cited by 34
Zerti, D., Collin, J., Queen, R. A., Cockell, S., & Lako, M. (2019) · Current Eye Research · doi:10.1080/02713683.2019.1697453 · Cited by 32
Interleukin-13 disrupts type 2 pneumocyte stem cell activity
Glisinski, K., Schlobohm, A., Paramore, S. V., Birukova, A., Moseley, M. A., Foster, M. W., & Barkauskas, C. E. (2020) · JCI Insight · doi:10.1172/jci.insight.131232 · Cited by 32
Development of human alveolar epithelial cell models to study distal lung biology and disease
Tran, E., Shi, T., Li, X., Chowdhury, A. Y., Du, J., Liu, Y., Wang, H., Yan, C., Wallace, W. D., Lu, R., et al. (2022) · iScience · doi:10.1016/j.isci.2022.103780 · Cited by 34
Lung epithelium development and airway regeneration
Eenjes, E., Tibboel, D., Wijnen, R. M. H., & Rottier, R. J. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.1022457 · Cited by 35
Domm, W., Misra, R. S., & Oâ€TMReilly, M. A. (2015) · Frontiers in Medicine · doi:10.3389/fmed.2015.00055 · Cited by 34
Bilodeau, M., Shojaie, S., Ackerley, C. A., Post, M., & Rossant, J. (2014) · Stem Cell Reports · doi:10.1016/j.stemcr.2014.07.010 · Cited by 32
Single cell sequencing: technique, application, and future development
Xue, R., Li, R., & Bai, F. (2014) · 中国科学通报:英文版 · doi:10.1007/s11434-014-0634-6 · Cited by 33
How deep is enough in single-cell RNA-seq?
Streets, A., & Huang, Y. (2014) · Nature Biotechnology · doi:10.1038/nbt.3039 · Cited by 33
Microfluidics as a Strategic Player to Decipher Single-Cell Omics?
Caën, O., Lu, H., Nizard, P., & Taly, V. (2017) · Trends in biotechnology · doi:10.1016/j.tibtech.2017.05.004 · Cited by 32
Gao, F., Li, C., Danopoulos, S., Alam, D. A., Peinado, N., Webster, S., Borok, Z., Kohbodi, G. A., Bellusci, S., & Minoo, P. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110608 · Cited by 31
Lung Cell Atlases in Health and Disease
Adams, T. S., Marlier, A., & Kaminski, N. (2022) · Annual Review of Physiology · doi:10.1146/annurev-physiol-032922-082826 · Cited by 34
Conchola, A. S., Frum, T., Xiao, Z., Hsu, P. P., Kaur, K., Downey, M. S., Hein, R. F. C., Miller, A. J., Tsai, Y.-H., Wu, A., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2210113120 · Cited by 31
Self-citationHayek, H., Rehbini, O., Kośmider, B., Brandt, T., Chatila, W. M., Marchetti, N. T., Criner, G. J., Bolla, S., Kishore, R., Bowler, R. P., et al. (2023) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2023-0232oc · Cited by 31
Bioreactor Development for Lung Tissue Engineering
Panoskaltsis‐Mortari, A. (2015) · Current Transplantation Reports · doi:10.1007/s40472-014-0048-z · Cited by 31
Cross-Species Transcriptome Profiling Identifies New Alveolar Epithelial Type I Cell–Specific Genes
Marconett, C. N., Zhou, B., Sunohara, M., Pouldar, T. M., Wang, H., Liu, Y., Rieger, M. E., Tran, E., Flodby, P., Siegmund, K. D., et al. (2016) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2016-0071oc · Cited by 31
Bruse, S., Moreau, M., Bromberg, Y., Jang, J.-H., Wang, N., Ha, H., Picchi, M. A., Lin, Y., Langley, R. J., Qualls, C. F., et al. (2016) · Human Genomics · doi:10.1186/s40246-015-0058-7 · Cited by 30
Learning regulatory models for cell development from single cell transcriptomic data
Babtie, A. C., Chan, T. E., & Stumpf, M. P. H. (2017) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2017.07.013 · Cited by 32
Embryology and anatomy of congenital diaphragmatic hernia
Leon, N. D., Tse, W. H., Ameis, D., & Keijzer, R. (2022) · Seminars in Pediatric Surgery · doi:10.1016/j.sempedsurg.2022.151229 · Cited by 30
Fujimoto, J., Nunomura‐Nakamura, S., Liu, Y., Lang, W., McDowell, T. L., Jakubek, Y. A., Ezzeddine, D., Ochieng, J. K., Petersen, J. L., Davies, G., et al. (2017) · International Journal of Cancer · doi:10.1002/ijc.30851 · Cited by 30
Wang, K., Song, K., Ma, Z., Yao, Y., Liu, C., Yang, J., Xiao, H., Zhang, J., Zhang, Y., & Zhao, W. (2020) · British Journal of Cancer · doi:10.1038/s41416-020-0902-y · Cited by 30
Strunz, M., Simon, L. M., Ansari, M., Mattner, L. F., Angelidis, I., Mayr, C. H., Kathiriya, J. J., Yee, M., Ogar, P., Sengupta, A., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/705244 · Cited by 30
Dowdall, J. R., Sadow, P. M., Hartnick, C. J., Vinarský, V., Mou, H., Zhao, R., Song, P. C., Franco, R. A., & Rajagopal, J. (2015) · The Laryngoscope · doi:10.1002/lary.25264 · Cited by 29
Single cell sequencing approaches for complex biological systems
Baslan, T., & Hicks, J. B. (2014) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2014.06.004 · Cited by 29
Furchtgott, L., Melton, S., Menon, V., & Ramanathan, S. (2017) · eLife · doi:10.7554/elife.20488 · Cited by 29
TASIC: determining branching models from time series single cell data
Rashid, S., Kotton, D. N., & Bar‐Joseph, Z. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx173 · Cited by 30
Fetal liver: an ideal niche for hematopoietic stem cell expansion
Gao, S., & Liu, F. (2018) · Science China Life Sciences · doi:10.1007/s11427-018-9313-4 · Cited by 29
Guo, L., Karoubi, G., Duchesneau, P., Aoki, F. G., Shutova, M. V., Rogers, I. M., Nagy, A., & Waddell, T. K. (2018) · npj Regenerative Medicine · doi:10.1038/s41536-018-0052-5 · Cited by 29
Oda, H., Iwasaki-Yokozawa, S., Usui, T., & Akiyama‐Oda, Y. (2019) · Development Genes and Evolution · doi:10.1007/s00427-019-00631-x · Cited by 29
Integrating multiomics longitudinal data to reconstruct networks underlying lung development
Ding, J., Ahangari, F., Espinoza, C. R., Chhabra, D., Nicola, T., Yan, X., Lal, C. V., Hagood, J. S., Kaminski, N., Bar‐Joseph, Z., et al. (2019) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00554.2018 · Cited by 29
Understanding Human Lung Development through In Vitro Model Systems
Hein, R. F. C., Frum, T., Conchola, A. S., & Spence, J. R. (2020) · BioEssays · doi:10.1002/bies.202000006 · Cited by 33
Targeted Disruption of Mouse Dip2B Leads to Abnormal Lung Development and Prenatal Lethality
Sah, R. K., Ma, J., Bah, F. B., Xing, Z., Adlat, S., Oo, Z. M., Wang, Y., Bahadar, N., Bohio, A. A., Hayel, F., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21218223 · Cited by 29
Identification of a targetable KRAS-mutant epithelial population in non-small cell lung cancer
Maroni, G., Bassal, M. A., Krishnan, I., Fhu, C. W., Savova, V., Žilionis, R., Maymi, V. A., Pandell, N., Csizmadia, E., Zhang, J., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-01897-6 · Cited by 29
Abnormal respiratory progenitors in fibrotic lung injury
Xie, T., Lynn, H., Parks, W. C., Stripp, B. R., Chen, P., Jiang, D., & Noble, P. W. (2022) · Stem Cell Research & Therapy · doi:10.1186/s13287-022-02737-y · Cited by 29
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Johnson, E., Mayes, K. D., Connolly, I. D., & Gephart, M. H. (2018) · Current Oncology Reports · doi:10.1007/s11912-018-0673-2 · Cited by 29
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Metadata
- Authors
- 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.
- Affiliations
- Howard Hughes Medical Institute (US)
- Stanford Medicine (US)
- Corresponding author
- Desai, Tushar J.
- Krasnow, Mark A.
- Quake, Stephen R.
- ORCID
- Venue
- Nature
- Published
- 2014-04-13
- Volume
- 509
- Issue
- 7500
- Pages
- 371-375
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4145853
- OpenAlex
- W2068881679
- Cited by
- 1,342
- References
- 41
- Citations by year
- 2026: 25 · 2025: 52 · 2024: 65 · 2023: 97 · 2022: 113 · 2021: 120 · 2020: 134 · 2019: 146 · 2018: 161 · 2017: 155 · 2016: 137 · 2015: 106 · 2014: 25
- FWCI
- 57.77
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Heart, Lung, and Blood Institute (K08HL084095, U01HL099995, U01HL099999)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32HD007249)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Neonatal Respiratory Health Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Keywords
- distal lung epithelium, lung development, alveolar progenitor cells, alveolar type II cells, alveolar type I cells, cell type markers, lineage hierarchy, alveolar differentiation, transcription factors, mouse lung
- MeSH terms
- Animals, Bronchi, Cell Differentiation, Epithelial Cells, Female, Genetic Markers, Lung, Mice, Inbred C57BL, Pulmonary Alveoli, Pulmonary Gas Exchange, Stem Cells, Genome, Sequence Analysis, RNA, Cell Lineage, Genomics, Mice, Single-Cell Analysis, Transcriptome
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