Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Detection of mutated peptides of SARS-CoV-2 from COVID-19-infected patients

ABSTRACT: This project involves the identification of mutated peptides from swab and plasma samples using an in-house developed Mutant Peptide Database (MPD)

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

SUBMITTER: Abhilash Barpanda

LAB HEAD: Sanjeeva Srivastava

PROVIDER: PXD029300 | Pride | 2023-05-10

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	COVID_SWAB_2021_S112.raw	Raw
	COVID_SWAB_2021_S113.raw	Raw
	COVID_SWAB_2021_S114.raw	Raw
	COVID_SWAB_2021_S21.raw	Raw
	COVID_SWAB_2021_S22.raw	Raw

Items per page:

1 - 5 of 48

Publications

Detection of Mutant Peptides of SARS-CoV-2 Variants by LC/MS in the DDA Approach Using an In-House Database.

Rajoria Sakshi S Halder Ankit A Tarnekar Ishita I Pal Pracheta P Bansal Prakhar P Srivastava Sanjeeva S

Journal of proteome research 20230424 6

Equipped with a dramatically high mutation rate, which happens to be a signature of RNA viruses, SARS-CoV-2 trampled across the globe infecting individuals of all ages and ethnicities. As the variants of concern (VOC) loomed large, definitive detection of SARS-CoV-2 strains became a matter of utmost importance in epidemiological and clinical research. Besides, unveiling the disease pathogenesis at the molecular level and deciphering the therapeutic targets became key priorities since the emergen ...[more]

PMID: 37093804

Similar Datasets

Proteomic Investigation Reveals Dominant Alterations of Neutrophil Degranulation and mRNA Translation Pathways in COVID-19 Patients

Project description:With the increasing cases of SARS-CoV2 mediated COVID-19, which has taken the form of a savagely spreading pandemic, quick and effective detection and diagnosis is the need of the hour. While clinical testing is aimed at identifying the positive vs. negative cases, there are also enormous challenges that have emerged with the diagnosis of asymptomatic patients. We have here enumerated identification and detection of SARS-CoV-2 viral peptides and proteins using high throughput mass spectrometry from nasopharyngeal swabs, which can be used for measuring peptides from SARS-CoV-2. This study is aimed at constructing a detection kit and assay via which a simplified sample collection and testing can be performed using swab put in the tubes containing organic solvents (ethanol, acetone or isopropanol), that can then be sent for testing in laboratory using mass spectrometry. This would simplify the detection and increase the robustness of test. Further, the invention has scope for identifying the asymptomatic population using the enumerated proteomics procedure.

2021-02-09 | PXD020580 | Pride

Proteomic Investigation Reveals Dominant Alterations of Neutrophil Degranulation and mRNA Translation Pathways in COVID-19 Patients

Project description:The altered molecular proteins and pathways in response to COVID-19 infection are still unclear. Here, we performed a comprehensive proteomics-based investigation of of nasopharyngeal swab samples from COVID-19 patients to identify viral and host peptides by employing simple extraction strategies and also established a panel of host proteins using high-resolution mass spectrometry. The differentially expressed peptides/proteins identified from host and pathogen correlated with the viral load of the host which indicates that these proteins might be good prognostic biomarkers of severity prediction. A few host proteins such as Interleukin-6, L-lactate dehydrogenase, C-reactive protein, Ferritin and Aspartate aminotransferase was found to be upregulated in COVID-19 positive patients using targeted MRM study. Further, the proteins L-lactate dehydrogenase, Aspartate aminotransferase and Alanine aminotransferase was also validated in the clinical settings using immunological assays. We also identified neutrophil degranulation, platelet degranulation, interleukin-12 signaling pathways, mRNA translation of proteins and , co-factor metabolomic process protein metabolism, and stress responses to be key GO enriched pathways, thus altered in the COVID-19 infected patients.providing the detailed investigation of host response in COVID-19 infection , thus providing the landscape of COVID-19 pathophysiology. This study thus also revealed that mass spectrometry-based detected host proteins/peptides has a potential for clinical translation and a few proteins might be routinely monitored in clinics for the disease progression, peptide tests can be used by clinicians for diagnosis as well as identified pathways/ markers as the predictors of disease progression. Furthermore, the identified proteins and their drug binding studies might aid in COVID-19 therapeutic interventions.

2021-02-15 | PXD023016 | Pride

DIA-based proteome profiling of nasopharyngeal swabs from COVID-19 patients

Project description:We sought to characterize the host response through proteome profiling of nasopharyngeal swab specimens. A mass spectrometer combining trapped ion mobility spectrometry and high-resolution QTOF mass spectrometer with a parallel accumulation-serial fragmentation (PASEF) was deployed for unbiased proteome profiling. First, deep proteome profiling of nasopharyngeal swabs was performed in PASEF-DDA mode, which identified 7,723 proteins and 102,392 peptides that were then used for constructing a spectral library. Subsequently, quantitative proteome profiling was carried out for 90 nasopharyngeal swab samples in diaPASEF mode which resulted in 5,023 protein identifications. Functional analysis revealed two significant features of biological processes of innate immune response and viral life cycle. Overall, we provide the in-depth proteome record from nasopharyngeal swab samples and suggest relevant host response along with proteins playing a pivotal role against viral infection, which would assist for mining promising drug targets in the future.

2021-09-10 | PXD025277 | Pride

Single-cell RNA sequencing of human nasal swab from COVID-19 patient

Project description:Understanding on pathogenesis of COVID-19 is rapidly growing, but primary target cells of SARS-CoV-2 infection is still not known. Here, we performed single cell RNA sequencing on human nasal swab from COVID-19 patient to investigate the expression patterns of host cell entry factors of SARS-CoV-2.

2021-01-12 | GSE164547 | GEO

A proteomic survival predictor for COVID-19 patients in intensive care

Project description:Global healthcare systems are challenged by the COVID-19 pandemic. There is a need to optimize allocation of treatment and resources in intensive care, as clinically established risk assessments such as SOFA and APACHE II scores show only limited performance for predicting the survival of severely ill COVID-19 patients. Comprehensively capturing the host physiology, we speculated that proteomics in combination with new data-driven analysis strategies could produce a new generation of prognostic discriminators. We studied two independent cohorts of patients with severe COVID-19 who required intensive care and invasive mechanical ventilation. SOFA score, Charlson comorbidity index and APACHE II score were poor predictors of survival. Instead, using plasma proteomes quantifying 302 plasma protein groups at 387 timepoints in 57 critically ill patients on invasive mechanical ventilation, we found 14 proteins that showed trajectories different between survivors and non-survivors. A proteomic predictor trained on single samples obtained at the first time point at maximum treatment level (i.e. WHO grade 7) and weeks before the outcome, achieved accurate classification of survivors (AUROC 0.81, n=49). We tested the established predictor on an independent validation cohort (AUROC of 1.0, n=24). The majority of proteins with high relevance in the prediction model belong to the coagulation system and complement cascade. Our study demonstrates that predictors derived from plasma protein levels have the potential to substantially outperform current prognostic markers in intensive care.

2022-03-03 | PXD029009 | Pride

Human gut microbiota, COVID-19 patients with mild or severe symptoms.

Project description:Analysis of COVID-19 hospitalized patients, with different kind of symptoms, by human rectal swabs collection and 16S sequencing approach.

2022-09-22 | E-MTAB-12236 | biostudies-arrayexpress

Proteomic changes of CD19+ B Lymphocytes in COVID-19 Patients

Project description:The immune response to SARS-CoV-2 varies among patients. We used proteomic analysis to study CD19+ lymphocytes, which are important for the immune response. By comparing the proteomes of CD19+ cells from healthy individuals and COVID-19 patients, we discovered proteins and signaling pathways involved in the immune response during COVID-19. This knowledge improves our understanding of immune dysregulation in COVID-19 and can help develop targeted therapies. Our research also explores the role of CD19+ lymphocytes in COVID-19 and identifies potential biomarkers. Overall, our findings contribute to understanding COVID-19 immunology and inform future research efforts.

2023-09-24 | PXD042938 | Pride

Protein and cytokine profiles associated with COVID-19 disease severity in Puerto Rico

Project description:Viral strains, age, and host factors including genetics and proteins are associated with variable immune responses against SARS-CoV-2 and disease severity. We hypothesized that unique proteins/pathways are associated with COVID-19 disease severity in Puerto Rican Hispanics. A total of 121 men and women aged 21-80 years-old were recruited in Puerto Rico. Plasma samples were collected from unvaccinated COVID-19 infected subjects during acute disease (n=39) and compared to COVID-19 negative individuals (n=56) during acute disease using proteomics and cytokine expression. Infected individuals were stratified based on symptomatology as follows: mild (n=18), moderate (n=13), and severe (n=8). Quantitative proteomics was performed in plasma samples using Tandem Mass Tag (TMT) labeling. Cytokines in plasma were quantified using a human cytokine array. Proteomics analyses revealed 56 differentially regulated proteins and the top 3 pathways that were predicted to be inhibited in severe patients including LXR/RXR signaling, Production of NO and ROS in macrophages, and Synaptogenesis signaling. Decreased cadherin-13 validated by ELISA, which participates in synaptogenesis, is a novel protein is a novel protein not previously reported in other studies of COVID-19 severity and validated by ELISA. Cytokine analyses showed that TNF⍺ levels decreased with disease severity. This study uncovers potential host predictors of COVID-19 severity and new avenues for treatment in Puerto Rican Hispanics.

2024-06-16 | PXD046103 | Pride

A diagnostic host response biosignature for COVID-19 from RNA profiling of nasal swabs and blood

Project description:To elucidate key pathways in the host transcriptome of patients infected with SARS-CoV-2, we used RNA sequencing (RNA Seq) to analyze nasopharyngeal (NP) swab and whole blood (WB) samples from 333 COVID-19 patients and controls, including patients with other viral and bacterial infections. Analyses of differentially expressed genes (DEGs) and pathways was performed relative to other infections (e.g. influenza, other seasonal coronaviruses, bacterial sepsis) in both NP swabs and WB. Comparative COVID-19 host responses between NP swabs and WB were examined. Both hospitalized patients and outpatients exhibited upregulation of interferon-associated pathways, although heightened and more robust inflammatory and immune responses were observed in hospitalized patients with more clinically severe disease. A two-layer machine learning-based classifier, run on an independent test set of NP swab samples, was able to discriminate between COVID-19 and non-COVID-19 infectious or non-infectious acute respiratory illness using complete (>1,000 genes), medium (<100) and small (<20) gene biomarker panels with 85.1%-86.5% accuracy, respectively. These findings demonstrate that SARS-CoV-2 infection has a distinct biosignature that differs between NP swabs and WB and can be leveraged for differential diagnosis of COVID-19 disease.

2020-12-15 | GSE163151 | GEO

SARS-CoV-2 RNAemia and proteomic biomarker trajectory inform prognostication in COVID-19 patients admitted to intensive care

Project description:Prognostic characteristics inform risk stratification in intensive care unit (ICU) patients with coronavirus disease 2019 (COVID-19). We obtained blood samples (n = 474) from hospitalized COVID-19 patients (n = 123), non-COVID-19 ICU sepsis patients (n = 25) and healthy controls (n = 30). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA was detected in plasma or serum (RNAemia) of COVID-19 ICU patients when neutralizing antibody response was low. RNAemia was associated with higher 28-day ICU mortality (hazard ratio [HR], 1.84 [95% CI, 1.22–2.77] adjusted for age and sex). In longitudinal comparisons, COVID-19 ICU patients had a distinct proteomic trajectory associated with RNAemia and mortality. Among COVID-19-enriched proteins, galectin-3 binding protein (LGALS3BP) and proteins of the complement system were identified as interaction partners of SARS-CoV-2 spike glycoprotein. Finally, machine learning identified ‘Age, RNAemia’ and ‘Age, pentraxin-3 (PTX3)’ as the best binary signatures associated with 28-day ICU mortality.

2021-04-26 | PXD024089 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data