Dataset Information

An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics

ABSTRACT: Aging promotes lung function decline and susceptibility to chronic lung diseases, which are the third leading cause of death worldwide. We used single cell transcriptomics and mass spectrometry to quantify changes in cellular activity states of 30 cell types and the tissue proteome from lungs of young and old mice. Aging led to increased transcriptional noise, indicating deregulated epigenetic control. We observed highly distinct effects of aging on cell type level, uncovering increased cholesterol biosynthesis in type-2 pneumocytes and lipofibroblasts as a novel hallmark of lung aging. Proteomic profiling revealed extracellular matrix remodeling in old mice, including increased collagen IV and XVI and decreased Fraser syndrome complex proteins and Collagen XIV. Computational integration of the aging proteome and single cell transcriptomes predicted the cellular source of regulated proteins and created a first unbiased reference of the aging lung. The lung aging atlas can be accessed via an interactive user-friendly webtool at: https://theislab.github.io/LungAgingAtlas

OTHER RELATED OMICS DATASETS IN: GSE124872

INSTRUMENT(S): Q Exactive

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Lung

SUBMITTER: Christoph Mayr

LAB HEAD: Herbert B Schiller

PROVIDER: PXD012307 | Pride | 2019-01-21

REPOSITORIES: Pride

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An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics.

Angelidis Ilias I Simon Lukas M LM Fernandez Isis E IE Strunz Maximilian M Mayr Christoph H CH Greiffo Flavia R FR Tsitsiridis George G Ansari Meshal M Graf Elisabeth E Strom Tim-Matthias TM Nagendran Monica M Desai Tushar T Eickelberg Oliver O Mann Matthias M Theis Fabian J FJ Schiller Herbert B HB

Nature communications 20190227 1

Aging promotes lung function decline and susceptibility to chronic lung diseases, which are the third leading cause of death worldwide. Here, we use single cell transcriptomics and mass spectrometry-based proteomics to quantify changes in cellular activity states across 30 cell types and chart the lung proteome of young and old mice. We show that aging leads to increased transcriptional noise, indicating deregulated epigenetic control. We observe cell type-specific effects of aging, uncovering i ...[more]

PMID: 30814501

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Project description:The complexity of events associated with age-related memory loss (ARML) cannot be overestimated. The problem is further complicated by the enormous diversity of neurons in the CNS and even synapses of one neuron within a neural circuit. Large-scale single-neuron analysis is not only challenging but mostly impractical for any model currently used in ARML. We simply do not know: do all neurons and synapses age differently or are some neurons (or synapses) more resistant to aging than others? What is happening in any given neuron while it undergoes “normal” aging? What are the genomic changes that make aging apparently irreversible? What would be the balance between neuron-specific vs global genome-wide changes in aging? In the proposed paper we address these questions and develop a new model to study the entire scope of genomic and epigenomic regulation in aging at the resolution of single functionally characterized cells and even cell compartments. In particular, the mollusc Aplysia californica has been implemented as a powerful paradigm in addressing fundamental questions of the neurobiology of aging. The proposed manuscript will consist of four parts. First, we will provide an introduction to Aplysia as a representative of the largest superclade of bilaterian animals (Lophotrochozoa). Aplysia has a short lifespan of 220-300 days with a well-characterized life cycle and characterized phenomenology of aging. Most importantly, Aplysia possess the largest nerve cells in the entire animal kingdom (only eggs are larger); these cells can be uniquely identified and mapped in terms of their well-defined interactions with other neurons forming relatively simpler neural circuits underlying several stereotypic and learned behaviors. Second, we have identified in Aplysia more that a hundred neurological- and age-related genes that were lost in other established invertebrate models (such as Drosophila and C. elegans). The proposed long-term regulatory age-related mechanisms include a high level of conservation among many epigenetic processes known to be lost in nematodes and flies with extremely short lifecycles and particularly derived genomes. We also identify and cloned more than 30 evolutionarily conserved homologs of genes involved in Alzheimer’s, Parkinson’s and Huntington’s diseases as well as age-related hormones. Third, we performed genome-wide analysis of expression patterns of more than 55,000 unique transcripts by comparing two different identified cholinergic neurons (R2 and LPl1) among young and aged animals. This direct single neuron genomic analysis indicates that there are significant cell-specific changes in gene-expression profiles as a function of aging. We estimated that only ~10-20% of genes that are differently expressed in the aging brain are common for all neuronal types - the remaining 80% are neuron-specific (i.e. found in aging neurons of one but not another type). The list of “common aging genes” includes components of insulin growth factor pathways, cell bioenergetics, telomerase-associated proteins, antioxidant enzymes, water channels and estrogen receptors. The rest were neuron-specific gene products (including apoptosis-related proteins, Alzheimer-related genes, growth factors and their receptors, ionic channels, transcription factors and more than 120 identified proteins known to be involved in neurodevelopment and synaptogenesis). Surprisingly, even two different identified cholinergic motoneurons age differently and each of them has a unique subset of genes differentially expressed in older animals. Fourth, we showed that the activity of the entire genome and associated epigenomic modifications (e.g. DNA methylation, histone dynamics) can be efficiently monitored within a single Aplysia neuron and can be modified as a function of aging in a neuron-specific manner including selective histones and histone-modifying enzymes and DNA methylation-related enzymes. This genome-wide analysis of aging allows us to propose novel mechanisms of active DNA demethylation and cell-specific methylation as well as regional relocation of RNAs as three key processes underlying age-related memory loss. These mechanisms tune the dynamics of long-term chromatin remodeling, control weakening and the loss of synaptic connections in aging. At the same time, our genomic tests revealed evolutionarily conserved gene clusters in the Aplysia genome associated with senescence and regeneration (e.g. apoptosis- and redox- dependent processes, insulin signaling, etc.). This is a reference design experiment with all samples being compared to one CNS from Aplysia. Two cholinergic neurons (R2 and LPl1), two ages (young and old), two arrays (AAA and DAA), three biological replicates each sample type. Two direct comparison experiments were also performed. One with young and old abdominal ganglion and the other with young and old R2.

Dataset Information

An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics

Publications

An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics.

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