Identifying and characterizing lung progenitor cells and their signaling niches is crucial for understanding how a healthy lung is built and maintained, how alteration of development and maintenance pathways cause or contribute to lung disease, and how disease can be prevented and damaged lung tissue restored or replaced. Identifying and characterizing lung progenitor cells and their niches has been hampered by the complex three-dimensional structure of the lung and the lack of tools to mark, follow the fate, and manipulate gene expression in individual lung cells in vivo. Here we propose to develop such tools, by adapting for use in mouse lung the systematic genetic approaches and single cell resolution genetic tools (clonal analysis) that have been used over the past decade to elucidate progenitor and stem cells and their signaling niches in the model organism Drosophila. To facilitate this, we will develop a new microscopy procedure (multidimensional microscopic molecular profiling) that allows the levels of dozens of molecular markers to be quantified at subcellular resolution on a single tissue section, the equivalent of multi-dimensional FACS analysis for intact tissues. We combine these in vivo approaches with a high throughput in vitro approach that takes advantage of recent advances in genomics and microfluidics to characterize individual lung progenitor cells and their developmental responses to the signals identified in the in vivo experiments. This combined approach is general and applicable to progenitor cells throughout the lung and other mouse tissues, although we focus on the poorly characterized progenitor cells in lung mesenchyme.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01HL099995-07
Application #
8837671
Study Section
Special Emphasis Panel (ZHL1)
Program Officer
Lin, Sara
Project Start
2009-09-30
Project End
2017-04-30
Budget Start
2015-05-01
Budget End
2017-04-30
Support Year
7
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Stanford University
Department
Biochemistry
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
Cho, Ukrae; Riordan, Daniel P; Ciepla, Paulina et al. (2018) Ultrasensitive optical imaging with lanthanide lumiphores. Nat Chem Biol 14:15-21
Nabhan, Ahmad N; Brownfield, Douglas G; Harbury, Pehr B et al. (2018) Single-cell Wnt signaling niches maintain stemness of alveolar type 2 cells. Science 359:1118-1123
Schmidt, Stephanie Tzouanas; Zimmerman, Stephanie M; Wang, Jianbin et al. (2017) Quantitative Analysis of Synthetic Cell Lineage Tracing Using Nuclease Barcoding. ACS Synth Biol 6:936-942
Enge, Martin; Arda, H Efsun; Mignardi, Marco et al. (2017) Single-Cell Analysis of Human Pancreas Reveals Transcriptional Signatures of Aging and Somatic Mutation Patterns. Cell 171:321-330.e14
Chakravarthy, Harini; Gu, Xueying; Enge, Martin et al. (2017) Converting Adult Pancreatic Islet ? Cells into ? Cells by Targeting Both Dnmt1 and Arx. Cell Metab 25:622-634
Tan, Serena Y S; Krasnow, Mark A (2016) Developmental origin of lung macrophage diversity. Development 143:1318-27
Krusemark, Casey J; Tilmans, Nicolas P; Brown, Patrick O et al. (2016) Directed Chemical Evolution with an Outsized Genetic Code. PLoS One 11:e0154765
Li, Peng; Janczewski, Wiktor A; Yackle, Kevin et al. (2016) The peptidergic control circuit for sighing. Nature 530:293-297
Kuo, Christin S; Krasnow, Mark A (2015) Formation of a Neurosensory Organ by Epithelial Cell Slithering. Cell 163:394-405
Riordan, Daniel P; Varma, Sushama; West, Robert B et al. (2015) Automated Analysis and Classification of Histological Tissue Features by Multi-Dimensional Microscopic Molecular Profiling. PLoS One 10:e0128975

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