MicroPOTS Analysis of Barrett's Esophageal Cell Line Models Identifies Proteomic Changes after Physiologic and Radiation Stress
| Autor: | 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, Sarah M. Williams |
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| Rok vydání: | 2021 |
| Předmět: |
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 |
| Zdroj: | Journal of Proteome Research Weke, K, Singh, A, Uwugiaren, N, Alfaro, J A, Wang, T, Hupp, T R, O'Neill, R, Vojtesek, B, R. Goodlett, D, M. Williams, S, Zhou, M, T. Kelly, R, Zhu, Y & Dapic, I 2021, ' MicroPOTS analysis of Barrett’s oesophageal cell line models identifies proteomic changes after physiologic and radiation stress ', Journal Of Proteome Research . https://doi.org/10.1021/acs.jproteome.0c00629 |
| ISSN: | 1535-3907 |
| DOI: | 10.1021/acs.jproteome.0c00629 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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