AIMC Topic: Multiomics

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Integrative multi-omics identifies S100A8/IGFBP5/CTSK/S100P as dual diagnostic biomarkers and therapeutic targets in Crohn's disease: from computational discovery to preclinical validation.

International immunopharmacology
Crohn's disease (CD) is a chronic inflammatory bowel condition that significantly impairs patients' quality of life. With no cure currently available, the need to discover novel biomarkers and develop effective therapeutic strategies is paramount. Th...

A multiomics recovery factor predicts long COVID in the IMPACC study.

The Journal of clinical investigation
BACKGROUNDFollowing SARS-CoV-2 infection, approximately 10%-35% of patients with COVID-19 experience long COVID (LC), in which debilitating symptoms persist for at least 3 months. Elucidating the biologic underpinnings of LC could identify therapeuti...

Multi-omic assessment of mRNA translation dynamics in liver cancer cell lines.

Scientific data
The limited correlation between mRNA and protein levels within cells highlighted the need to study mechanisms of translational control. To decipher the factors that determine the rates of individual steps in mRNA translation, machine learning approac...

Integration of Multi-omics Data Based on Deep Learning for Subtyping of Low-Grade Glioma.

Journal of molecular neuroscience : MN
Low-grade gliomas (LGGs) represent a complex and aggressive category of brain tumors. Despite recent advancements in molecular subtyping and characterization, the necessity to identify additional molecular subtypes and biomarkers remains. To delineat...

A review on multi-omics integration for aiding study design of large scale TCGA cancer datasets.

BMC genomics
BACKGROUND: Rapid advancements in high-throughput sequencing technologies allow for detailed and accurate measurement of omics features within their biological context. The integration of different omics types creates heterogeneous datasets, presenti...

Integrated multi-omics analysis identifies lipid metabolism biomarkers in ONFH and reveals therapeutic potential of retinoic acid.

Scientific reports
Osteonecrosis of the femoral head (ONFH) is a debilitating condition frequently associated with dysregulation in lipid metabolism. The objective of this study was to identify potential biomarkers for ONFH through various analytical methods and experi...

The chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning.

Nature communications
Many genome-wide studies capture isolated moments in cell differentiation or organismal development. Conversely, longitudinal studies provide a more direct way to study these kinetic processes. Here, we present an approach for modeling gene-expressio...

Multi-omics insights of immune cells in the risk and prognosis of idiopathic membranous nephropathy.

Communications biology
Idiopathic membranous nephropathy (IMN) is the major cause of autoimmune-related nephrotic syndrome. The role immune cells play in the risk and prognosis of IMN remains elusive. We employ multi-omics data and a variety of approaches to evaluate the c...

Comprehensive multi-omics analysis reveals the core role of glycerophospholipid metabolism in the influence of short-chain fatty acids on the development of sepsis.

Scientific reports
Sepsis is a systemic inflammatory response syndrome caused by infection, which has a high morbidity and mortality. Short-chain fatty acids (SCFAs) have been proved to improve the outcome of sepsis by regulating immunity and metabolism, but its specif...

From molecular chaos to precision medicine in the treatment of cardiac hypertrophy: A rational use of natural products by integrating artificial intelligence and multi-omics data.

Pharmacological research
Given the intricate and multifactorial molecular mechanisms underlying cardiac hypertrophy (CH), conventional pharmacological treatments often face significant challenges in achieving disease reversal. This review presents an innovative approach to t...