1. MicroPOTS Analysis of Barrett's Esophageal Cell Line Models Identifies Proteomic Changes after Physiologic and Radiation Stress
- Author
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Ted R. Hupp, Borek Vojtesek, Tongjie Wang, Irena Dapic, Ying Zhu, Mowei Zhou, Ryan T. Kelly, David R. Goodlett, Javier A. Alfaro, Naomi Uwugiaren, Robert O'Neill, Ashita Singh, Kenneth Weke, and Sarah M. Williams
- Subjects
0301 basic medicine ,Proteomics ,IDH1 ,Lithocholic acid ,Esophageal Neoplasms ,Population ,AGR2 ,Computational biology ,Biology ,Biochemistry ,S100A9 ,Article ,Cell Line ,Tacrolimus Binding Proteins ,X-ray ,03 medical and health sciences ,chemistry.chemical_compound ,Barrett Esophagus ,Mucoproteins ,medicine ,Humans ,Barrett’s esophagus ,education ,microPOTS ,Oncogene Proteins ,education.field_of_study ,030102 biochemistry & molecular biology ,Heterogeneous-Nuclear Ribonucleoprotein Group C ,Reproducibility of Results ,General Chemistry ,medicine.disease ,030104 developmental biology ,chemistry ,lithocholic acid ,Cell culture ,Barrett's esophagus ,Ubiquitin-Conjugating Enzymes - Abstract
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.
- Published
- 2021
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