Single-cell RNA sequencing reveals that lung mesenchymal progenitor cells in IPF exhibit pathological features early in their differentiation trajectory.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
07 07 2020
Historique:
received: 03 12 2019
accepted: 06 05 2020
entrez: 9 7 2020
pubmed: 9 7 2020
medline: 15 12 2020
Statut: epublish

Résumé

In Idiopathic Pulmonary Fibrosis (IPF), there is unrelenting scarring of the lung mediated by pathological mesenchymal progenitor cells (MPCs) that manifest autonomous fibrogenicity in xenograft models. To determine where along their differentiation trajectory IPF MPCs acquire fibrogenic properties, we analyzed the transcriptome of 335 MPCs isolated from the lungs of 3 control and 3 IPF patients at the single-cell level. Using transcriptional entropy as a metric for differentiated state, we found that the least differentiated IPF MPCs displayed the largest differences in their transcriptional profile compared to control MPCs. To validate entropy as a surrogate for differentiated state functionally, we identified increased CD44 as a characteristic of the most entropic IPF MPCs. Using FACS to stratify IPF MPCs based on CD44 expression, we determined that CD44

Identifiants

pubmed: 32636398
doi: 10.1038/s41598-020-66630-5
pii: 10.1038/s41598-020-66630-5
pmc: PMC7341888
doi:

Substances chimiques

Hyaluronan Receptors 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

11162

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL146501
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002494
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL125236
Pays : United States

Références

King, T. E. Jr. & Pardo, M. D. A PhD, Selman M MD. Idiopathic pulmonary fibrosis. The Lancet 378, 1949–1961 (2011).
doi: 10.1016/S0140-6736(11)60052-4
Adegunsoye, A. & Strek, M. E. Therapeutic Approach to Adult Fibrotic Lung Diseases. Chest 150, 1371–1386 (2016).
doi: 10.1016/j.chest.2016.07.027
Herrera, J., Henke, C. A. & Bitterman, P. B. Extracellular matrix as a driver of progressive fibrosis. J Clin Invest 128, 45–53 (2018).
doi: 10.1172/JCI93557
Herrera, J. et al. Dicer1 Deficiency in the Idiopathic Pulmonary Fibrosis Fibroblastic Focus Promotes Fibrosis by Suppressing MicroRNA Biogenesis. Am J Respir Crit Care Med 198, 486–496 (2018).
doi: 10.1164/rccm.201709-1823OC
Xia, H. et al. Identification of a Cell-of-Origin for Fibroblasts Comprising the Fibrotic Reticulum in Idiopathic Pulmonary Fibrosis. The American Journal of Pathology 184, 1369–1383 (2014).
doi: 10.1016/j.ajpath.2014.01.012
Xie, T. et al. Single-Cell Deconvolution of Fibroblast Heterogeneity in Mouse Pulmonary Fibrosis. CellReports 22, 3625–3640 (2018).
Xu, Y et al. Single-cell RNA sequencing identifies diverse roles of epithelial cells in idiopathic pulmonary fibrosis. JCI Insight 2016;1:1–18.
Rolandsson Enes, S. et al. MSC from fetal and adult lungs possess lung-specific properties compared to bone marrow-derived MSC. Sci Rep 6, 29160–10 (2016).
doi: 10.1038/srep29160
Barrett, A. et al. Human Wharton’s Jelly Mesenchymal Stem Cells Show Unique Gene Expression Compared to Bone Marrow Mesenchymal Stem Cells Using Single-Cell RNA-Sequencing. Stem Cells Dev scd.2018, 0132–70, https://doi.org/10.1089/scd.2018.0132 (2018).
doi: 10.1089/scd.2018.0132
Sammour, I. et al. The Effect of Gender on Mesenchymal Stem Cell (MSC) Efficacy in Neonatal Hyperoxia-Induced Lung Injury. In: Kirchmair R, editor. Plos One 2016;11:e0164269–19.
Kolodziejczyk, A. A., Kim, J. K., Svensson, V. & Marioni, J. C. The technology and biology of single-cell RNA sequencing. Mol Cell 58, 610–620 (2015).
doi: 10.1016/j.molcel.2015.04.005
Banerji, C. R. S. et al. Cellular network entropy as the energy potential in Waddington’s differentiation landscape. Sci Rep 3, 1129–7 (2013).
doi: 10.1038/srep03039
Enver, T. & Teschendorff, A. E. Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome. Nature Communications 8, 1–15 (2017).
doi: 10.1038/s41467-016-0009-6
Parker, M. W. et al. Fibrotic extracellular matrix activates a profibrotic positive feedback loop. J Clin Invest 124, 1622–1635 (2014).
doi: 10.1172/JCI71386
Larsson, O et al. Fibrotic Myofibroblasts Manifest Genome-Wide Derangements of Translational Control. In: Barnes PJ, editor. PLoS ONE 2008;3:e3220–12.
Xia, H. et al. Calcium-binding protein S100A4 confers mesenchymal progenitor cell fibrogenicity in idiopathic pulmonary fibrosis. J Clin Invest 127, 2586–2597 (2017).
doi: 10.1172/JCI90832
Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120 (2014).
doi: 10.1093/bioinformatics/btu170
Kim, D., Langmead, B. & Salzberg, S. L. HISAT: a fast spliced aligner with low memory requirements. Nat Meth 12, 357–360 (2015).
doi: 10.1038/nmeth.3317
Anders, S., Pyl, P. T. & Huber, W. HTSeq–a Python framework to work with high-throughput sequencing data. Bioinformatics 31, 166–169 (2015).
doi: 10.1093/bioinformatics/btu638
Eden, E., Navon, R., Steinfeld, I., Lipson, D. & Yakhini, Z. GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists. BMC Bioinformatics 10, 25–7 (2009).
doi: 10.1186/1471-2105-10-48
Chen, J., Bardes, E. E., Aronow, B. J. & Jegga, A. G. ToppGene Suite for gene list enrichment analysis and candidate gene prioritization. Nucleic Acids Res 37, W305–W311 (2009).
doi: 10.1093/nar/gkp427
Schwalie, P. C. et al. A stromal cell population that inhibits adipogenesis in mammalian fat depots. Nature 559, 1–28 (2018).
doi: 10.1038/s41586-018-0226-8
Enver, T. & Teschendorff, A. E. Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome. Nature Communications 8, 1–15 (2017).
doi: 10.1038/s41467-016-0009-6
Chu, L.-F. et al. Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm. Genome Biology 17, 1–20 (2016).
doi: 10.1186/s13059-016-1033-x
Tirosh, I. et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq. Science 352, 189–196 (2016).
doi: 10.1126/science.aad0501
Storey, J. D., Bass, A. J. & Dabney, A. qvalue: Q-value estimation for false discovery rate control. R package version (2015).
van der Maaten, L. Accelerating t-SNE using Tree-Based Algorithms. Journal of Machine Learning Research 15, 3221–3245 (2014).
van der Maaten, L. & Hinton, G. Visualizing Data using t-SNE. Journal of Machine Learning Research 9, 2579–2605 (2008).
Whitfield, M. L. et al. Identification of Genes Periodically Expressed in the Human Cell Cycle and Their Expression in Tumors. In: Solomon MJ, editor. MBoC 13:1977–2000 (2002).
Matsumoto, H et al. SCODE: an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation. In: Bar-Joseph Z, editor. Bioinformatics 33:2314–2321 (2017).
Xu, Y. et al. KIAA0247 inhibits growth, migration, invasion of non-small-cell lung cancer through regulating the Notch pathway. Cancer Sci 109, 1055–1065 (2018).
doi: 10.1111/cas.13539
Zhu, J. et al. H19/miR‐148a/USP4 axis facilitates liver fibrosis by enhancing TGF‐β signaling in both hepatic stellate cells and hepatocytes. J Cell Physiol 234, 9698–9710 (2018).
doi: 10.1002/jcp.27656
Han, T. et al. Identification of novel genes and networks governing hematopoietic stem cell development. EMBO Rep 17, 1814–1828 (2016).
doi: 10.15252/embr.201642395
Zhao, X. et al. Overexpression of KIF20A confers malignant phenotype of lung adenocarcinoma by promoting cell proliferation and inhibiting apoptosis. Cancer Med 7, 4678–4689 (2018).
doi: 10.1002/cam4.1710
Jin, J. et al. Pirfenidone attenuates lung fibrotic fibroblast responses to transforming growth factor-β1. Respir Res 20, 1–14 (2019).
doi: 10.1186/s12931-018-0967-9
Dai, Y. E. B. et al. Pcid2 Inactivates Developmental Genes in Human and Mouse Embryonic Stem Cells to Sustain Their Pluripotency by Modulation of EID1 Stability. Stem Cells 32, 623–635 (2014).
doi: 10.1002/stem.1580
Bauer, Y. et al. A Novel Genomic Signature with Translational Significance for Human Idiopathic Pulmonary Fibrosis. Am J Respir Cell Mol Biol 52, 217–231 (2015).
doi: 10.1165/rcmb.2013-0310OC
Taroni, J. N. et al. A novel multi-network approach reveals tissue-specific cellular modulators of fibrosis in systemic sclerosis. Genome Med 9, 1–24 (2017).
doi: 10.1186/s13073-017-0417-1
Herrera, J. et al. Registration of the extracellular matrix components constituting the fibroblastic focus in idiopathic pulmonary fibrosis. JCI Insight 4, 1257 (2019).
doi: 10.1172/jci.insight.125185
Fernandez, I. E. & Eickelberg, O. The Impact of TGF-β on Lung Fibrosis. Proc Am Thorac Soc 9, 111–116 (2012).
doi: 10.1513/pats.201203-023AW
Single-cell RNA sequencing identifies diverse roles of epithelial cells in idiopathic pulmonary fibrosis. JCI Insight 2016;1:621–18.
Zepp, J. A. et al. Distinct Mesenchymal Lineages and Niches Promote Epithelial Self-Renewal and Myofibrogenesis in the Lung. Cell 170, 1134–1148.e10 (2017).
doi: 10.1016/j.cell.2017.07.034
Li, Y. et al. Severe lung fibrosis requires an invasive fibroblast phenotype regulated by hyaluronan and CD44. J Exp Med 208, 1459–1471 (2011).
doi: 10.1084/jem.20102510
Yan, Y., Zuo, X. & Wei, D. Concise Review: Emerging Role of CD44 in Cancer Stem Cells: A Promising Biomarker and Therapeutic Target. STEM CELLS Translational Medicine 4, 1033–1043 (2015).
doi: 10.5966/sctm.2015-0048
Sheats, M. K. et al MARCKS (Myristoylated Alanine-Rich C Kinase Substrate) and Lung Disease. Am J Respir Cell Mol Biol, rcmb.2018–0285TR–38, https://doi.org/10.1165/rcmb.2018-0285TR (2018).
Chen, C.-H. et al. A peptide that inhibits function of Myristoylated Alanine-Rich C Kinase Substrate (MARCKS) reduces lung cancer metastasis. Oncogene 33, 3696–3706 (2013).
doi: 10.1038/onc.2013.336
Yang, Z. et al. MARCKS contributes to stromal cancer-associated fibroblast activation and facilitates ovarian cancer metastasis. Oncotarget 7, 37649–37663 (2016).
doi: 10.18632/oncotarget.8726

Auteurs

Daniel J Beisang (DJ)

University of Minnesota, Department of Pediatrics, Division of Pediatric Pulmonology, Minneapolis, USA.

Karen Smith (K)

University of Minnesota, Department of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Minneapolis, USA.

Libang Yang (L)

University of Minnesota, Department of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Minneapolis, USA.

Alexey Benyumov (A)

University of Minnesota, Department of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Minneapolis, USA.

Adam Gilbertsen (A)

University of Minnesota, Department of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Minneapolis, USA.

Jeremy Herrera (J)

University of Manchester, School of Biological Sciences, Division of Cell Matrix Biology & Regenerative Medicine, Manchester, United Kingdom.

Eric Lock (E)

University of Minnesota, School of Public Health, Division of Biostatistics, Minneapolis, USA.

Emilian Racila (E)

University of Minnesota, Department of Laboratory Medicine and Pathology, Minneapolis, USA.

Colleen Forster (C)

University of Minnesota, Clinical and Translational Science Institute, Minneapolis, USA.

Brian J Sandri (BJ)

University of Minnesota, Department of Pediatrics, Division of Neonatology, Minneapolis, USA.

Craig A Henke (CA)

University of Minnesota, Department of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Minneapolis, USA.

Peter B Bitterman (PB)

University of Minnesota, Department of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Minneapolis, USA. Bitte001@umn.edu.

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