Dataset Information

Nitroproteins Identified in Human Ex-smoker Bronchoalveolar Lavage Fluid.

ABSTRACT: The long-term goal of our study is to identify chronic obstructive pulmonary disease (COPD)-related bronchoalveolar lavage fluid (BALF) nitroproteins to clarify COPD pathological mechanisms and to discover biomarkers of COPD. The goal of the present study was to detect the presence of, and potential roles of, nitroproteins in, human ex-smoker (without COPD) BALF samples. Nitroproteins were immunoprecipitated from two separate BALF samples, and digested with trypsin; and tryptic peptides were analyzed with matrix-assisted laser desorption/ionization (MALDI)-tandem mass spectrometry (MS/MS). Each MS/MS spectrum was composed of accumulated scans (n = 50-100). The MS/MS data were searched with BioWorks 2.0 TuboSequest in the SwissProt database to generate the amino acid sequence, which was evaluated manually. Eleven nitrotyrosine sites were identified in eight proteins, including progestin and adipoQ receptor family member III, zinc finger protein 432, proteasome subunit alpha type 2, NADH-ubiquinone oxidoreductase B14, slit homolog 1 protein, lysozyme, aldose 1-epimerase, and PTS system lactose-specific EIICB component. Each nitrotyrosine site was located within a specific protein domain and motif. Those identified nitrated proteins could be involved in multiple functional metabolic systems, including transcriptional regulation, mitochondrial complex, immune system, and energy metabolism.

SUBMITTER: Zhan X

PROVIDER: S-EPMC3295046 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Nitroproteins Identified in Human Ex-smoker Bronchoalveolar Lavage Fluid.

Zhan Xianquan X Desiderio Dominic M DM

Aging and disease 20101108 2

The long-term goal of our study is to identify chronic obstructive pulmonary disease (COPD)-related bronchoalveolar lavage fluid (BALF) nitroproteins to clarify COPD pathological mechanisms and to discover biomarkers of COPD. The goal of the present study was to detect the presence of, and potential roles of, nitroproteins in, human ex-smoker (without COPD) BALF samples. Nitroproteins were immunoprecipitated from two separate BALF samples, and digested with trypsin; and tryptic peptides were ana ...[more]

PMID: 22396869

Similar Datasets

Project description:BackgroundIt is now possible to comprehensively characterize the microbiota of the lungs using culture-independent, sequencing-based assays. Several sample types have been used to investigate the lung microbiota, each presenting specific challenges for preparation and analysis of microbial communities. Bronchoalveolar lavage fluid (BALF) enables the identification of microbiota specific to the lower lung but commonly has low bacterial density, increasing the risk of false-positive signal from contaminating DNA. The objectives of this study were to investigate the extent of contamination across a range of sample densities representative of BALF and identify features of contaminants that facilitate their removal from sequence data and aid in the interpretation of BALF sample 16S sequencing data.ResultsUsing three mock communities across a range of densities ranging from 8E+?02 to 8E+?09 16S copies/ml, we assessed taxonomic accuracy and precision by 16S rRNA gene sequencing and the proportion of reads arising from contaminants. Sequencing accuracy, precision, and the relative abundance of mock community members decreased with sample input density, with a significant drop-off below 8E+?05 16S copies/ml. Contaminant OTUs were commonly inversely correlated with sample input density or not reproduced between technical replicates. Removal of taxa with these features or physical concentration of samples prior to sequencing improved both sequencing accuracy and precision for samples between 8E+?04 and 8E+?06 16S copies/ml. For the lowest densities, below 8E+?03 16S copies/ml BALF, accuracy and precision could not be significantly improved using these approaches. Using clinical BALF samples across a large density range, we observed that OTUs with features of contaminants identified in mock communities were also evident in low-density BALF samples.ConclusionRelative abundance data and community composition generated by 16S sequencing of BALF samples across the range of density commonly observed in this sample type should be interpreted in the context of input sample density and may be improved by simple pre- and post-sequencing steps for densities above 8E+?04 16S copies/ml.

Project description:Severe COVID-19 pneumonia has been associated with the development of intense inflammatory responses during the course of infections with SARS-CoV-2. Given that human endogenous retroviruses (HERVs) are known to be activated during and participate in inflammatory processes, we examined whether HERV dysregulation signatures are present in COVID-19 patients. By comparing transcriptomes of bronchoalveolar lavage fluid (BALF) of COVID-19 patients and healthy controls, and peripheral blood monocytes (PBMCs) from patients and controls, we have shown that HERVs are intensely dysregulated in BALF of COVID-19 patients compared to those in BALF of healthy control patients but not in PBMCs. In particular, upregulation in the expression of specific HERV families was detected in BALF samples of COVID-19 patients, with HERV-FRD being the most highly upregulated family among the families analyzed. In addition, we compared the expression of HERVs in human bronchial epithelial cells (HBECs) without and after senescence induction in an oncogene-induced senescence model in order to quantitatively measure changes in the expression of HERVs in bronchial cells during the process of cellular senescence. This apparent difference of HERV dysregulation between PBMCs and BALF warrants further studies in the involvement of HERVs in inflammatory pathogenetic mechanisms as well as exploration of HERVs as potential biomarkers for disease progression. Furthermore, the increase in the expression of HERVs in senescent HBECs in comparison to that in noninduced HBECs provides a potential link for increased COVID-19 severity and mortality in aged populations. IMPORTANCE SARS-CoV-2 emerged in late 2019 in China, causing a global pandemic. Severe COVID-19 is characterized by intensive inflammatory responses, and older age is an important risk factor for unfavorable outcomes. HERVs are remnants of ancient infections whose expression is upregulated in multiple conditions, including cancer and inflammation, and their expression is increased with increasing age. The significance of this work is that we were able to recognize dysregulated expression of endogenous retroviral elements in BALF samples but not in PBMCs of COVID-19 patients. At the same time, we were able to identify upregulated expression of multiple HERV families in senescence-induced HBECs in comparison to that in noninduced HBECs, a fact that could possibly explain the differences in disease severity among age groups. These results indicate that HERV expression might play a pathophysiological role in local inflammatory pathways in lungs afflicted by SARS-CoV-2 and their expression could be a potential therapeutic target.

Dataset Information

Nitroproteins Identified in Human Ex-smoker Bronchoalveolar Lavage Fluid.

Publications

Nitroproteins Identified in Human Ex-smoker Bronchoalveolar Lavage Fluid.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets