Proteomics

Dataset Information

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Mass-spectrometry based plasma proteomics identifies biomarkers for the detection of COVID-19 progression


ABSTRACT: COVID-19 manifests itself in an array of symptoms. While most patients experience very mild-to-moderate symptoms, around one in five patients develop pneumonia coupled with severe respiratory distress. These patients require treatment in the intensive care units (ICU), however, most of the times, it leads to multi-organ dysfunction and death. Mass spectrometry based proteomics can help us to identify the precise pathophysiological pathways that get perturbed during the course of the disease. Our study involved a comprehensive proteome-wide investigation of COVID negative (n=20), non-severe (n= 18) and severe (n= 36) COVID-19 patients plasma samples. We categorized patients into severe and non-severe groups and conducted LFQ based discovery proteomics for unraveling differentially expressed proteins followed by pathway enrichment studies and validation of targets by targeted studies on a batch of longitudinal samples.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

DISEASE(S): Covid-19

SUBMITTER: Avinash singh  

LAB HEAD: Sanjeeva Srivastava

PROVIDER: PXD022296 | Pride | 2021-04-01

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Human_UP000005640reviewed20353_19.07.20201.fasta Fasta
MaxQuant_Analysed_Files.rar Other
Plasma_P10.raw Raw
Plasma_P101.raw Raw
Plasma_P102.raw Raw
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