Dataset Details

Title: Discovery proteomics by mass spectrometry comparing secreted proteins from young and old mouse lung mesenchymal stromal cells

Accession Number: doi: 10.5061/dryad.x0k6djhj1

Link to Dataset: https://doi.org/10.5061/dryad.x0k6djhj1

Repository: Dryad

Data Type(s): Proteomics

Summary: Lung mesenchymal stromal cells (L-MSCs) were isolated from the young ( 3 months) and old (22-24 months) mice (N = 4 each) following collagenase digestion of the lungs and anchorage-dependent growth. Culture media was collected from young and old L-MSCs (10^6 cells) grown in culture for 24 hrs in serum-free condition. Culture media was then centrifuged to remove any cellular debris. Five (5) ml of supernatants were concentrated using 3kDa Molecular weight cut-off filters, and 10 micrograms of proteins were run as multiple MW 1D PAGE fractions using a standard GeLC approach with a nano-HPLC in-line with a Velos Pro Orbitrap MS. Individual data files were searched using Sequest, the results were then combined for each sample, followed by grouping, filtering, and quantifying by normalized spectral counts.

Publication(s) associated with this dataset:

• Chanda D, Rehan M, Smith S, Dsouza K, Bernard K, Memula V, Kojima K, Mobley JA, Benavides G, Darley-Usmar VM, Kim Y, Zmijewski J, Deshane J, De Langhe S, Thannickal V. 2021. Mesenchymal stromal cell aging impairs the self-organizing capacity of lung alveolar epithelial stem cells. Elife doi:10.7554/eLife.68049 PMID:34528872 PMCID:PMC8445616

Project(s) associated with this dataset:

• University of Alabama at Birmingham: Asthma in Children Exposed to Heavy Metals