Time- and compartment-resolved proteome profiling of the extracellular niche in lung injury and repair
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The extracellular matrix (ECM) is a key regulator of tissue morphogenesis and repair. However, its composition and architecture are not well characterized. Here, we monitor remodeling of the extracellular niche in tissue repair in the bleomycin-induced lung injury mouse model. Mass spectrometry quantified 8,366 proteins from total tissue and bronchoalveolar lavage fluid (BALF) over the course of 8 weeks, surveying tissue composition from the onset of inflammation and fibrosis to its full recovery. Combined analysis of proteome, secretome, and transcriptome highlighted post-transcriptional events during tissue fibrogenesis and defined the composition of airway epithelial lining fluid. To comprehensively characterize the ECM, we developed a quantitative detergent solubility profiling (QDSP) method, which identified Emilin-2 and collagen-XXVIII as novel constituents of the provisional repair matrix. QDSP revealed which secreted proteins interact with the ECM, and showed drastically altered association of morphogens to the insoluble matrix upon injury. Thus, our proteomic systems biology study assigns proteins to tissue compartments and uncovers their dynamic regulation upon lung injury and repair, potentially contributing to the development of anti-fibrotic strategies.
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Gene expression analysis has proven inadequate to fully describe the proteome, including the tissue matrix environment.
“However, gene expression analysis has proven inadequate to fully describe the proteome, including the tissue matrix environment”
From Defining the Adult Neural Stem Cell Niche Proteome Identifies Key Regulators of Adult Neurogenesis (2020) · cites this paper as Schiller et al., 2015
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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
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464 · see citing works
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855 · see citing works
Self-citationIn silico prediction of protein-protein interactions in human macrophages
Souiai, O., Guerfali, F. Z., Miled, S. B., Brun, C., & Benkahla, A. (2014) · BMC Research Notes · doi:10.1186/1756-0500-7-157 · Cited by 10,785 · see citing works
Significance analysis of microarrays applied to the ionizing radiation response
Tusher, V. G., Tibshirani, R., & Chu, G. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.091062498 · Cited by 10,568 · see citing works
Gurtner, G. C., Werner, S., Barrandon, Y., & Longaker, M. T. (2008) · Nature · doi:10.1038/nature07039 · Cited by 6,542 · see citing works
Causal analysis approaches in Ingenuity Pathway Analysis
Krämer, A., Green, J., Pollard, J., & Tugendreich, S. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt703 · Cited by 5,724 · see citing works
Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment
Cox, J., Neuhauser, N., Michalski, A., Scheltema, R. A., Olsen, J. V., & Mann, M. (2011) · Journal of Proteome Research · doi:10.1021/pr101065j · Cited by 5,350 · see citing works
Self-citationCox, J., Hein, M. Y., Luber, C. A., Paron, I., Nagaraj, N., & Mann, M. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.031591 · Cited by 5,180 · see citing works
Self-citationRole of nrf2 in oxidative stress and toxicity
Ma, Q. (2013) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-011112-140320 · Cited by 4,903 · see citing works
The Extracellular Matrix: Not Just Pretty Fibrils
Hynes, R. O. (2009) · Science · doi:10.1126/science.1176009 · Cited by 3,527 · see citing works
ProteomeXchange provides globally coordinated proteomics data submission and dissemination
Vizcaíno, J. A., Deutsch, E. W., Wang, R., Csordás, A., Reisinger, F., Ríos, D., Dianes, J. A., Sun, Z., Farrah, T., Bandeira, N., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.2839 · Cited by 2,735 · see citing works
the Immunological Genome Consortium, Gautier, E. L., Shay, T., Miller, J., Greter, M., Jakubzick, C., Ivanov, S., Helft, J., Chow, A., Elpek, K. G., et al. (2012) · Nature Immunology · doi:10.1038/ni.2419 · Cited by 1,972 · see citing works
Kulak, N. A., Pichler, G., Paron, I., Nagaraj, N., & Mann, M. (2014) · Nature Methods · doi:10.1038/nmeth.2834 · Cited by 1,719 · see citing works
Self-citationNaba, A., Clauser, K. R., Hoersch, S., Liu, H., Carr, S. A., & Hynes, R. O. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m111.014647 · Cited by 1,354 · see citing works
Reconstructing 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
Distinct fibroblast lineages determine dermal architecture in skin development and repair
Driskell, R. R., Lichtenberger, B. M., Hoste, E., Kretzschmar, K., Simons, B. D., Charalambous, M., Ferron, S. R., Herault, Y., Pavlovic, G., Ferguson-Smith, A. C., et al. (2013) · Nature · doi:10.1038/nature12783 · Cited by 1,291 · see citing works
Alveolar progenitor and stem cells in lung development, renewal and cancer
Desai, T., Brownfield, D., & Krasnow, M. A. (2014) · Nature · doi:10.1038/nature12930 · Cited by 1,066 · see citing works
Rock, J. R., Barkauskas, C. E., Cronce, M. J., Xue, Y., Harris, J. R., Liang, J., Noble, P. W., & Hogan, B. L. M. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117988108 · Cited by 1,033 · see citing works
Role of Chitin and Chitinase/Chitinase-Like Proteins in Inflammation, Tissue Remodeling, and Injury
Lee, C. G., Da Silva, C. A., Dela Cruz, C. S., Ahangari, F., Ma, B., Kang, M.-J., He, C.-H., Takyar, S., & Elias, J. A. (2011) · Annual Review of Physiology · doi:10.1146/annurev-physiol-012110-142250 · Cited by 896 · see citing works
Hogan, B. L. M., Barkauskas, C. E., Chapman, H. A., Epstein, J. A., Jain, R., Hsia, C. C. W., Niklason, L., Calle, E., Le, A., Randell, S. H., et al. (2014) · Cell Stem Cell · doi:10.1016/j.stem.2014.07.012 · Cited by 876 · see citing works
Michalski, A., Damoc, E., Hauschild, J.-P., Lange, O., Wieghaus, A., Makarov, A., Nagaraj, N., Cox, J., Mann, M., & Horning, S. (2011) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m111.011015 · Cited by 832 · see citing works
Self-citationDeciphering the transcriptional network of the dendritic cell lineage
Miller, J. C., Brown, B. D., Shay, T., Gautier, E. L., Jojic, V., Cohain, A. T., Pandey, G. S., Leboeuf, M., Elpek, K. G., Helft, J., et al. (2012) · Nature Immunology · doi:10.1038/ni.2370 · Cited by 779 · see citing works
Identification and isolation of a dermal lineage with intrinsic fibrogenic potential
Rinkevich, Y., Walmsley, G. G., Hu, M. S.-M., Maan, Z. N., Newman, A. M., Drukker, M., Januszyk, M., Krampitz, G. W., Gurtner, G. C., Lorenz, H. P., et al. (2015) · Science · doi:10.1126/science.aaa2151 · Cited by 695 · see citing works
Reversal of persistent fibrosis in aging by targeting Nox4-Nrf2 redox imbalance
Hecker, L., Logsdon, N. J., Kurundkar, D., Kurundkar, A., Bernard, K., Hock, T., Meldrum, E., Sanders, Y. Y., & Thannickal, V. J. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3008182 · Cited by 686 · see citing works
Lineage-negative progenitors mobilize to regenerate lung epithelium after major injury
Vaughan, A. E., Brumwell, A. N., Xi, Y., Gotts, J. E., Brownfield, D., Treutlein, B., Tan, K., Tan, V. M., Liu, F. C., Looney, M. R., et al. (2014) · Nature · doi:10.1038/nature14112 · Cited by 662 · see citing works
Cox, J., & Mann, M. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-s16-s12 · Cited by 614 · see citing works
Self-citationKumar, P., Hu, Y., Yamamoto, Y., Hoe, N. B., Wei, T. S., Mu, D., Sun, Y., Lim, S. J., Dagher, R., Zielonka, E. M., et al. (2011) · Cell · doi:10.1016/j.cell.2011.10.001 · Cited by 578 · see citing works
Königshoff, M., Kramer, M., Balsara, N., Wilhelm, J., Amarie, O. V., Jahn, A., Rose, F., Fink, L., Seeger, W., Schaefer, L., et al. (2009) · Journal of Clinical Investigation · doi:10.1172/jci33950 · Cited by 558 · see citing works
Self-citationInterstitial dendritic cell guidance by haptotactic chemokine gradients
Weber, M., Hauschild, R., Schwarz, J., Moussion, C., de Vries, I., Legler, D. F., Luther, S. A., Bollenbach, T., & Sixt, M. (2013) · Science · doi:10.1126/science.1228456 · Cited by 555 · see citing works
p63+Krt5+ distal airway stem cells are essential for lung regeneration
Zuo, W., Zhang, T., Wu, D. Z., Guan, S. P., Liew, A.-A., Yamamoto, Y., Wang, X., Lim, S. J., Vincent, M., Lessard, M. D., et al. (2014) · Nature · doi:10.1038/nature13903 · Cited by 525 · see citing works
The GEM mapper: fast, accurate and versatile alignment by filtration
Marco‐Sola, S., Sammeth, M., Guigó, R., & Ribeca, P. (2012) · Nature Methods · doi:10.1038/nmeth.2221 · Cited by 523 · see citing works
Lung regeneration: mechanisms, applications and emerging stem cell populations
Kotton, D. N., & Morrisey, E. E. (2014) · Nature Medicine · doi:10.1038/nm.3642 · Cited by 512 · see citing works
Endothelial-Derived Angiocrine Signals Induce and Sustain Regenerative Lung Alveolarization
Ding, B., Nolan, D. J., Guo, P., Babazadeh, A. O., Cao, Z., Rosenwaks, Z., Crystal, R. G., Simons, M., Sato, T. N., Worgall, S., et al. (2011) · Cell · doi:10.1016/j.cell.2011.10.003 · Cited by 505 · see citing works
Growth Factors Engineered for Super-Affinity to the Extracellular Matrix Enhance Tissue Healing
Martino, M. M., Briquez, P. S., Güç, E., Tortelli, F., Kilarski, W. W., Metzger, S., Rice, J. J., Kuhn, G. A., Müller, R., Swartz, M. A., et al. (2014) · Science · doi:10.1126/science.1247663 · Cited by 500 · see citing works
Up-Regulation and Profibrotic Role of Osteopontin in Human Idiopathic Pulmonary Fibrosis
Pardo, A., Gibson, K. F., Cisneros, J., Richards, T. J., Yang, Y., Becerril, C., Yousem, S., Herrera, I., Ruiz, V., Selman, M., et al. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020251 · Cited by 492 · see citing works
Lee, J., Bhang, D. H., Beede, A. M., Huang, T. L., Stripp, B. R., Bloch, K. D., Wagers, A. J., Tseng, Y., Ryeom, S. W., & Kim, C. F. (2014) · Cell · doi:10.1016/j.cell.2013.12.039 · Cited by 491 · see citing works
Role of the extracellular matrix in morphogenesis
Kleinman, H. K., Philp, D., & Hoffman, M. P. (2003) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2003.08.002 · Cited by 484 · see citing works
New cellular and molecular mechanisms of lung injury and fibrosis in idiopathic pulmonary fibrosis
Fernandez, I. E., & Eickelberg, O. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61144-1 · Cited by 434 · see citing works
Self-citationFunctional Diversity of Laminins
Domogatskaya, A., Rodin, S., & Tryggvason, K. (2012) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-101011-155750 · Cited by 396 · see citing works
Extracellular matrix signatures of human mammary carcinoma identify novel metastasis promoters
Naba, A., Clauser, K. R., Lamar, J. M., Carr, S. A., & Hynes, R. O. (2014) · eLife · doi:10.7554/elife.01308 · Cited by 377 · see citing works
The Coming Age of Complete, Accurate, and Ubiquitous Proteomes
Mann, M., Kulak, N. A., Nagaraj, N., & Cox, J. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.01.029 · Cited by 350 · see citing works
Self-citationDeep and Highly Sensitive Proteome Coverage by LC-MS/MS Without Prefractionation
Thakur, S. S., Geiger, T., Chatterjee, B., Bandilla, P., Fröhlich, F., Cox, J., & Mann, M. (2011) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m110.003699 · Cited by 335 · see citing works
Self-citationChen, T. T., Luque, A., Lee, S., Anderson, S. M., Segura, T., & Iruela‐Arispe, M. L. (2010) · The Journal of Cell Biology · doi:10.1083/jcb.200906044 · Cited by 321 · see citing works
Modeling pulmonary fibrosis with bleomycin
Mouratis, M. A., & Aidinis, V. (2011) · Current Opinion in Pulmonary Medicine · doi:10.1097/mcp.0b013e328349ac2b · Cited by 314 · see citing works
Matrix metalloproteinases in acute lung injury: mediators of injury and drivers of repair
Davey, A., McAuley, D. F., & O’Kane, C. M. (2011) · European Respiratory Journal · doi:10.1183/09031936.00032111 · Cited by 249 · see citing works
Future Directions in Idiopathic Pulmonary Fibrosis Research. An NHLBI Workshop Report
Blackwell, T. S., Tager, A. M., Borok, Z., Moore, B. B., Schwartz, D. A., Anstrom, K. J., Bar‐Joseph, Z., Bitterman, P. B., Blackburn, M. R., Bradford, W. S., et al. (2013) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201306-1141ws · Cited by 236 · see citing works
Barallobre‐Barreiro, J., Didangelos, A., Schöndube, F. A., Drozdov, I. A., Yin, X., Fernández-Caggiano, M., Willeit, P., Püntmann, V. O., Aldama‐López, G., Shah, A. M., et al. (2012) · Circulation · doi:10.1161/circulationaha.111.056952 · Cited by 226 · see citing works
Multiple Roles and Interactions of Tbx4 and Tbx5 in Development of the Respiratory System
Arora, R., Metzger, R. J., & Papaioannou, V. E. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002866 · Cited by 213 · see citing works
Veit, G., Kobbe, B., Keene, D. R., Paulsson, M., Koch, M., & Wagener, R. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m509333200 · Cited by 208 · see citing works
Direct Proteomic Quantification of the Secretome of Activated Immune Cells
Meissner, F., Scheltema, R. A., Mollenkopf, H., & Mann, M. (2013) · Science · doi:10.1126/science.1232578 · Cited by 200 · see citing works
Self-citationIdentification of transcriptional regulators in the mouse immune system
Jojic, V., Shay, T., Sylvia, K., Zuk, O., Sun, X., Kang, J., Regev, A., & Koller, D. (2013) · Nature Immunology · doi:10.1038/ni.2587 · Cited by 194 · see citing works
Novel Role for Netrins in Regulating Epithelial Behavior during Lung Branching Morphogenesis
Liu, Y., Stein, E., Oliver, T. N., Li, Y. H., Brunken, W. J., Koch, M., Tessier‐Lavigne, M., & Hogan, B. L. M. (2004) · Current Biology · doi:10.1016/j.cub.2004.05.020 · Cited by 192 · see citing works
A Novel Genomic Signature with Translational Significance for Human Idiopathic Pulmonary Fibrosis
Bauer, Y., Tedrow, J., de Bernard, S., Birker-Robaczewska, M., Gibson, K. F., Guardela, B. J., Hess, P., Klenk, A., Lindell, K. O., Poirey, S., et al. (2015) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2013-0310oc · Cited by 182 · see citing works
Regulation of tissue morphogenesis by endothelial cell-derived signals
Ramasamy, S. K., Kusumbe, A. P., & Adams, R. H. (2014) · Trends in Cell Biology · doi:10.1016/j.tcb.2014.11.007 · Cited by 181 · see citing works
Analysis of High Accuracy, Quantitative Proteomics Data in the MaxQB Database
Schaab, C., Geiger, T., Stoehr, G., Cox, J., & Mann, M. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m111.014068 · Cited by 164 · see citing works
Self-citationRafii, S., Cao, Z., Lis, R., Siempos, I. Ι., Chavez, D., Shido, K., Rabbany, S. Y., & Ding, B. (2015) · Nature Cell Biology · doi:10.1038/ncb3096 · Cited by 151 · see citing works
Harunaga, J. S., Doyle, A. D., & Yamada, K. M. (2014) · Developmental Biology · doi:10.1016/j.ydbio.2014.08.014 · Cited by 147 · see citing works
Proteomic Analysis of Altered Extracellular Matrix Turnover in Bleomycin-induced Pulmonary Fibrosis
Decaris, M. L., Gatmaitan, M., FlorCruz, S., Luo, F., Li, K. W., Holmes, W. E., Hellerstein, M. K., Turner, S., & Emson, C. L. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.037267 · Cited by 145 · see citing works
Köcher, T., Swart, R., & Mechtler, K. (2011) · Analytical Chemistry · doi:10.1021/ac103243t · Cited by 140 · see citing works
Trends in ultrasensitive proteomics
Altelaar, M. A. F., & Heck, A. J. R. (2012) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2011.12.011 · Cited by 139 · see citing works
Laminin isoforms and lung development: All isoforms are not equal
Nguyen, N. M., & Senior, R. M. (2006) · Developmental Biology · doi:10.1016/j.ydbio.2006.03.032 · Cited by 127 · see citing works
Reddy, N. M., Potteti, H. R., Mariani, T. J., Biswal, S. S., & Reddy, S. P. (2011) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2011-0144oc · Cited by 121 · see citing works
Towards definition of an ECM parts list: An advance on GO categories
Naba, A., Hoersch, S., & Hynes, R. O. (2012) · Matrix Biology · doi:10.1016/j.matbio.2012.11.008 · Cited by 118 · see citing works
Canonical Wnt signaling negatively regulates branching morphogenesis of the lung and lacrimal gland
Dean, C. H., Miller, L. D., Smith, A. N., Dufort, D., Lang, R. A., & Niswander, L. A. (2005) · Developmental Biology · doi:10.1016/j.ydbio.2005.07.034 · Cited by 103 · see citing works
Proteomics Characterization of Extracellular Space Components in the Human Aorta
Didangelos, A., Yin, X.-K., Mandal, K., Baumert, M., Jahangiri, M., & Mayr, M. (2010) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m110.001693 · Cited by 99 · see citing works
Regulation of the Extrinsic Apoptotic Pathway by the Extracellular Matrix Glycoprotein EMILIN2
Mongiat, M., Ligresti, G., Marastoni, S., Lorenzon, E., Doliana, R., & Colombatti, A. (2007) · Molecular and Cellular Biology · doi:10.1128/mcb.00696-07 · Cited by 86 · see citing works
Rashid, S. T., Humphries, J. D., Byron, A., Dhar, A., Askari, J. A., Selley, J. N., Knight, D., Goldin, R. D., Thursz, M. R., & Humphries, M. J. (2012) · Journal of Proteome Research · doi:10.1021/pr3000927 · Cited by 77 · see citing works
Doliana, R., Bot, S., Mungiguerra, G., et al. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m011591200 · Cited by 74 · see citing works
Zanivan, S. R., Maione, F., Hein, M. Y., Hernandez-Fernaud, J. R., Ostasiewicz, P., Giraudo, E., & Mann, M. (2013) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.031344 · Cited by 69 · see citing works
Self-citationAnti-hepatocyte growth factor antibody inhibits hepatocyte proliferation during liver regeneration
Burr, A. W., Toole, K., Chapman, C., Hines, J. E., & Burt, A. D. (1998) · The Journal of Pathology · doi:10.1002/(sici)1096-9896(199807)185:3 · Cited by 67 · see citing works
Scheltema, R. A., & Mann, M. (2012) · Journal of Proteome Research · doi:10.1021/pr201219e · Cited by 63 · see citing works
Self-citationMarastoni, S., Andreuzzi, E., Paulitti, A., Colladel, R., Pellicani, R., Todaro, F., Schiavinato, A., Bonaldo, P., Colombatti, A., & Mongiat, M. (2013) · The Journal of Pathology · doi:10.1002/path.4316 · Cited by 62 · see citing works
Different Regulation of T-Box Genes Tbx4 and Tbx5 during Limb Development and Limb Regeneration
Khan, P., Linkhart, B., & Simon, H. (2002) · Developmental Biology · doi:10.1006/dbio.2002.0801 · Cited by 58 · see citing works
Marconett, C. N., Zhou, B., Rieger, M. E., Selamat, S. A., Dubourd, M., Fang, X., Lynch, S. K., Stueve, T. R., Siegmund, K. D., Berman, B. P., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003513 · Cited by 52 · see citing works
The Axonal Guidance Cue Semaphorin 3C Contributes to Alveolar Growth and Repair
Vadivel, A., Alphonse, R. S., Collins, J. J. P., van Haaften, T., O’Reilly, M., Eaton, F., & Thébaud, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067225 · Cited by 48 · see citing works
Mouse glycosylphosphatidylinositol-specific phospholipase D ( Gpld1 ) characterization
LeBoeuf, R. C., Caldwell, M., Guo, Y., et al. (1998) · Mammalian Genome · doi:10.1007/s003359900851 · Cited by 41 · see citing works
Cromar, G. L., Xiong, X., Chautard, É., Ricard‐Blum, S., & Parkinson, J. (2012) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.24036 · Cited by 31 · see citing works
Reynolds, H. Y. (2011) · Lung · doi:10.1007/s00408-011-9284-5 · Cited by 23 · see citing works
Petrou, P., Pavlakis, E., Dalezios, Y., et al. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m412368200 · Cited by 22 · see citing works
Novel Frem1-Related Mouse Phenotypes and Evidence of Genetic Interactions with Gata4 and Slit3
Beck, T., Shchelochkov, O. A., Yu, Z., Kim, B., Hernández, A., Zaveri, H. P., Bishop, C. E., Overbeek, P. A., Stockton, D. W., Justice, M. J., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058830 · Cited by 19 · see citing works
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Angelidis, I., Simon, L. M., Fernandez, I. E., Strunz, M., Mayr, C. H., Greiffo, F. R., Tsitsiridis, G., Ansari, M., Graf, E., Strom, T.-M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08831-9 · Cited by 637 · see citing works
Self-citationThe 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
Pakshir, P., Noskovicova, N., Lodyga, M., Son, D. O., Schuster, R., Goodwin, A., Karvonen, H., & Hinz, B. (2020) · Journal of Cell Science · doi:10.1242/jcs.227900 · Cited by 293 · see citing works
The lung microenvironment shapes a dysfunctional response of alveolar macrophages in aging
McQuattie-Pimentel, A. C., Ren, Z., Joshi, N., Watanabe, S., Stoeger, T., Chi, M., Lu, Z., Sichizya, L., Aillon, R. P., Chen, C.-I., et al. (2021) · Journal of Clinical Investigation · doi:10.1172/jci140299 · Cited by 177 · see citing works
Defining the Adult Neural Stem Cell Niche Proteome Identifies Key Regulators of Adult Neurogenesis
Kjell, J., Fischer-Sternjak, J., Thompson, A. J., Friess, C., Sticco, M. J., Salinas, F., Cox, J., Martinelli, D. C., Ninkovic, J., Franze, K., et al. (2020) · Cell Stem Cell · doi:10.1016/j.stem.2020.01.002 · Cited by 163 · see citing works
Self-citationNguyen, E. V., Pereira, B. A., Lawrence, M. G., Ma, X., Rebello, R. J., Chan, H., Niranjan, B., Wu, Y., Ellem, S., Guan, X., et al. (2019) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra119.001496 · Cited by 107 · see citing works
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Haak, A. J., Tan, Q., & Tschumperlin, D. J. (2018) · Matrix Biology · doi:10.1016/j.matbio.2017.12.004 · Cited by 95 · see citing works
Godin, L. M., Sandri, B. J., Wagner, D. E., Meyer, C. M., Price, A. P., Akinnola, I., Weiss, D. J., & Panoskaltsis-Mortari, A. (2016) · PLOS ONE · doi:10.1371/journal.pone.0150966 · Cited by 68 · see citing works
Regeneration and repair in the healing lung
Lucas, A., Yasa, J., & Lucas, M. (2020) · Clinical & Translational Immunology · doi:10.1002/cti2.1152 · Cited by 41 · see citing works
- Authors
- Schiller, H. B., Fernandez, I. E., Burgstaller, G., Schaab, C., Scheltema, R. A., Schwarzmayr, T., Strom, T. M., Eickelberg, O., & Mann, M.
- Affiliations
- Max Planck Institute of Biochemistry (DE)
- Helmholtz Munich (DE)
- Corresponding author
- Schiller, Herbert B
- Eickelberg, Oliver
- Mann, Matthias
- ORCID
- Venue
- Molecular Systems Biology
- Published
- 2015-07-01
- Volume
- 11
- Issue
- 7
- Pages
- 819-819
- ISSN
- 1744-4292 (ISSN-L)
- PMC
- PMC4547847
- OpenAlex
- W2104947426
- Cited by
- 261
- References
- 81
- Citations by year
- 2026: 11 · 2025: 29 · 2024: 28 · 2023: 30 · 2022: 22 · 2021: 36 · 2020: 35 · 2019: 20 · 2018: 20 · 2017: 17 · 2016: 10 · 2015: 3
- FWCI
- 13.20
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Molecular Systems Biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion)
- Site cant be reached (submittedVersion, cc-by)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Funders
- Max‐Planck Society for the Advancement of Science
- German Center of Lung Research
- Helmholtz Association
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Keywords
- lung injury, lung repair, extracellular matrix, bleomycin-induced lung fibrosis, bronchoalveolar lavage fluid, secretome, proteomic profiling, morphogens, post-transcriptional regulation
- MeSH terms
- Animals, Bleomycin, Bronchoalveolar Lavage Fluid, Collagen, Disease Models, Animal, Extracellular Matrix, Female, Gene Expression Regulation, Glycoproteins, Lung, Proteomics, Mice, Lung Injury
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