Proteomics

Dataset Information

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Integrative multi-omics analysis in sepsis-associated liver dysfunction


ABSTRACT: we conducted integrative multiple levels of omics data including transcriptome, phosphoproteome, proteome and metabolome in different time-course of sepsis-associated liver dysfunction (SALD). This is the first trial to suggest the statistical pathway of integrative multi-omics data in sepsis. Given the increasing number of studies collecting multi-omics data but limited overview of the methodological framework for integrative analyses (Liu, Ding et al. 2013, Petersen, Zeilinger et al. 2014, Shah, Bonder et al. 2015), integrative approach in sepsis with liver dysfunction in this study will provide novel insights into the development of sepsis and ultimately offer new tools for overcoming the present diagnostic limitation. Therefore, a combined multi-omics dataset will give better accessibility of adoption in disease, and insight to identify the promising candidates for therapeutic strategies.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Liver

DISEASE(S): Bacterial Sepsis

SUBMITTER: Ann-Yae Na  

LAB HEAD: Sangkyu Lee

PROVIDER: PXD025800 | Pride | 2023-06-21

REPOSITORIES: Pride

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Publications

Novel Time-dependent Multi-omics Integration in Sepsis-associated Liver Dysfunction.

Na Ann-Yae AY   Lee Hyojin H   Min Eun Ki EK   Paudel Sanjita S   Choi So Young SY   Sim HyunChae H   Liu Kwang-Hyeon KH   Kim Ki-Tae KT   Bae Jong-Sup JS   Lee Sangkyu S  

Genomics, proteomics & bioinformatics 20230420


The recently developed technologies that allow the analysis of each single omics have provided an unbiased insight into ongoing disease processes. However, it remains challenging to specify the study design for the subsequent integration strategies that can associate sepsis pathophysiology and clinical outcomes. Here, we conducted a time-dependent multi-omics integration (TDMI) in a sepsis-associated liver dysfunction (SALD) model. We successfully deduced the relation of the toll-like receptor 4  ...[more]

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