학술논문
Correlating transcription and protein expression profiles of immune biomarkers following lipopolysaccharide exposure in lung epithelial cells.
Document Type
Academic Journal
Author
Jacobsen DE; Chemistry Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.; Montoya MM; Chemistry Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.; Llewellyn TR; Chemistry Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.; Martinez K; Analytics, Intelligence and Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.; Wilding KM; Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.; Lenz KD; Chemistry Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.; Manore CA; Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.; Kubicek-Sutherland JZ; Chemistry Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.; Mukundan H; Chemistry Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Source
Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Subject
Language
English
Abstract
Universal and early recognition of pathogens occurs through recognition of evolutionarily conserved pathogen associated molecular patterns (PAMPs) by innate immune receptors and the consequent secretion of cytokines and chemokines. The intrinsic complexity of innate immune signaling and associated signal transduction challenges our ability to obtain physiologically relevant, reproducible and accurate data from experimental systems. One of the reasons for the discrepancy in observed data is the choice of measurement strategy. Immune signaling is regulated by the interplay between pathogen-derived molecules with host cells resulting in cellular expression changes. However, these cellular processes are often studied by the independent assessment of either the transcriptome or the proteome. Correlation between transcription and protein analysis is lacking in a variety of studies. In order to methodically evaluate the correlation between transcription and protein expression profiles associated with innate immune signaling, we measured cytokine and chemokine levels following exposure of human cells to the PAMP lipopolysaccharide (LPS) from the Gram-negative pathogen Pseudomonas aeruginosa. Expression of 84 messenger RNA (mRNA) transcripts and 69 proteins, including 35 overlapping targets, were measured in human lung epithelial cells. We evaluated 50 biological replicates to determine reproducibility of outcomes. Following pairwise normalization, 16 mRNA transcripts and 6 proteins were significantly upregulated following LPS exposure, while only five (CCL2, CSF3, CXCL5, CXCL8/IL8, and IL6) were upregulated in both transcriptomic and proteomic analysis. This lack of correlation between transcription and protein expression data may contribute to the discrepancy in the immune profiles reported in various studies. The use of multiomic assessments to achieve a systems-level understanding of immune signaling processes can result in the identification of host biomarker profiles for a variety of infectious diseases and facilitate countermeasure design and development.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Jacobsen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Jacobsen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)