Moving from macroscale
preparative systems in proteomics to micro-
and nanotechnologies offers researchers the ability to deeply profile
smaller numbers of cells that are more likely to be encountered in
clinical settings. Herein a recently developed microscale proteomic
method, microdroplet processing in one pot for trace samples (microPOTS),
was employed to identify proteomic changes in ∼200 Barrett’s
esophageal cells following physiologic and radiation stress exposure.
From this small population of cells, microPOTS confidently identified
>1500 protein groups, and achieved a high reproducibility with
a Pearson’s
correlation coefficient value of R > 0.9 and over
50% protein overlap from replicates. A Barrett’s cell line
model treated with either lithocholic acid (LCA) or X-ray had 21 (e.g.,
ASNS, RALY, FAM120A, UBE2M, IDH1, ESD) and 32 (e.g., GLUL, CALU, SH3BGRL3,
S100A9, FKBP3, AGR2) overexpressed proteins, respectively, compared
to the untreated set. These results demonstrate the ability of microPOTS
to routinely identify and quantify differentially expressed proteins
from limited numbers of cells.